ECVA | European Computer Vision Association

ECVA

ECCV Conference Papers

Quaternion Equivariant Capsule Networks for 3D Point Clouds: Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari; [pdf]
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[DOI]
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares: Yizhak Ben-Shabat, Stephen Gould; [pdf]
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[DOI]
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search: Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti; [pdf]
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[DOI]
Describing Textures using Natural Language: Chenyun Wu, Mikayla Timm, Subhransu Maji; [pdf]
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[DOI]
Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition: Rizard Renanda Adhi Pramono, Yie Tarng Chen, Wen Hsien Fang; [pdf]
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[DOI]
AiR: Attention with Reasoning Capability: Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao; [pdf]
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[DOI]
Self6D: Self-Supervised Monocular 6D Object Pose Estimation: Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab , Federico Tombari; [pdf]
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[DOI]
Invertible Image Rescaling: Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu; [pdf]
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[DOI]
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation: Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille; [pdf]
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[DOI]
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation: Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa; [pdf]
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[DOI]
Crowdsampling the Plenoptic Function: Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely; [pdf]
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[DOI]
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment: Hanyue Tu, Chunyu Wang, Wenjun Zeng; [pdf]
[DOI]
End-to-End Object Detection with Transformers: Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko; [pdf]
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[DOI]
DeepSFM: Structure From Motion Via Deep Bundle Adjustment: Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue; [pdf]
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[DOI]
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry: Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh; [pdf]
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[DOI]
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation: Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang; [pdf]
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[DOI]
Conditional Convolutions for Instance Segmentation: Zhi Tian, Chunhua Shen, Hao Chen; [pdf]
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[DOI]
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution: Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis; [pdf]
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[DOI]
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset: Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie , Bharath Hariharan, Hartwig Adam, Serge Belongie; [pdf]
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[DOI]
Privacy Preserving Structure-from-Motion: Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schönberger, Marc Pollefeys; [pdf]
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[DOI]
Rewriting a Deep Generative Model: David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba; [pdf]
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[DOI]
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets: Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan; [pdf]
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[DOI]
Long-term Human Motion Prediction with Scene Context: Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik; [pdf]
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[DOI]
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis: Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng; [pdf]
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[DOI]
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes: Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas Guibas; [pdf]
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[DOI]
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images: Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin; [pdf]
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[DOI]
Learning and Aggregating Deep Local Descriptors for Instance-level Recognition: Giorgos Tolias, Tomas Jenicek, Ondřej Chum; [pdf]
[DOI]
A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem: George Terzakis, Manolis Lourakis; [pdf]
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[DOI]
Learn to Recover Visible Color for Video Surveillance in a Day: Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei Huang, Yimin Guo, Ryosuke Shibasaki; [pdf]
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[DOI]
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images: Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han; [pdf]
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[DOI]
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation: Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin; [pdf]
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[DOI]
BorderDet: Border Feature for Dense Object Detection: Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun; [pdf]
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[DOI]
Regularization with Latent Space Virtual Adversarial Training: Genki Osada, Budrul Ahsan, Revoti Prasad Bora, Takashi Nishide; [pdf]
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[DOI]
Du²Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels: Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Fanello, Rahul Garg; [pdf]
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[DOI]
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning: Jaekyeom Kim, Hyoungseok Kim, Gunhee Kim; [pdf]
[DOI]
Targeted Attack for Deep Hashing based Retrieval: Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang; [pdf]
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[DOI]
Gradient Centralization: A New Optimization Technique for Deep Neural Networks: Hongwei Yong, Jianqiang Huang, Xiansheng Hua, Lei Zhang; [pdf]
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[DOI]
Content-Aware Unsupervised Deep Homography Estimation: Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Nianjin Ye, Jue Wang, Ji Zhou, Jian Sun; [pdf]
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[DOI]
Multi-View Optimization of Local Feature Geometry: Mihai Dusmanu, Johannes L. Schönberger, Marc Pollefeys; [pdf]
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[DOI]
The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization: Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew Fitzgibbon, Jamie Shotton; [pdf]
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[DOI]
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video: Miao Liu, Siyu Tang, Yin Li, James M. Rehg; [pdf]
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[DOI]
Learning Stereo from Single Images: Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman; [pdf]
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[DOI]
Prototype Rectification for Few-Shot Learning: Jinlu Liu, Liang Song, Yongqiang Qin; [pdf]
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[DOI]
Learning Feature Descriptors using Camera Pose Supervision: Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely; [pdf]
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[DOI]
Semantic Flow for Fast and Accurate Scene Parsing: Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, Shaohua Tan, Yunhai Tong; [pdf]
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[DOI]
Appearance Consensus Driven Self-Supervised Human Mesh Recovery: Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu; [pdf]
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[DOI]
Diffraction Line Imaging: Mark Sheinin, Dinesh N. Reddy, Matthew O’Toole, Srinivasa G. Narasimhan; [pdf]
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[DOI]
Aligning and Projecting Images to Class-conditional Generative Networks: Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann; [pdf]
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[DOI]
Suppress and Balance: A Simple Gated Network for Salient Object Detection: Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang; [pdf]
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[DOI]
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning: Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer; [pdf]
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[DOI]
Post-Training Piecewise Linear Quantization for Deep Neural Networks: Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph H. Hassoun; [pdf]
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[DOI]
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification: Yang Zou, Xiaodong Yang, Zhiding Yu, B.V.K. Vijaya Kumar, Jan Kautz; [pdf]
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[DOI]
In-Home Daily-Life Captioning Using Radio Signals: Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi; [pdf]
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[DOI]
Self-Challenging Improves Cross-Domain Generalization: Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang; [pdf]
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[DOI]
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering: Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu; [pdf]
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[DOI]
Multitask Learning Strengthens Adversarial Robustness: Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song , Junfeng Yang, Carl Vondrick; [pdf]
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[DOI]
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search: Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi; [pdf]
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[DOI]
Improving Deep Video Compression by Resolution-adaptive Flow Coding: Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu; [pdf]
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[DOI]
Motion Capture from Internet Videos: Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao; [pdf]
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[DOI]
Appearance-Preserving 3D Convolution for Video-based Person Re-identification: Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen; [pdf]
[DOI]
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization: Dylan Campbell, Liu Liu, Stephen Gould; [pdf]
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[DOI]
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation: Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo; [pdf]
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[DOI]
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures: Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, Lap-Pui Chau; [pdf]
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[DOI]
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling: Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao; [pdf]
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[DOI]
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction: Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll; [pdf]
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[DOI]
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network: Tsai-Shien Chen, Chih-Ting Liu, Chih-Wei Wu, Shao-Yi Chien; [pdf]
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[DOI]
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation: Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool; [pdf]
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[DOI]
CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image: Stefan Popov, Pablo Bauszat, Vittorio Ferrari; [pdf]
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[DOI]
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs: Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao; [pdf]
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[DOI]
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow: Zachary Teed, Jia Deng; [pdf]
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[DOI]
Domain-invariant Stereo Matching Networks: Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, Philip Torr; [pdf]
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[DOI]
DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling: Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee; [pdf]
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[DOI]
Content Adaptive and Error Propagation Aware Deep Video Compression: Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu , Zhiyong Gao; [pdf]
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[DOI]
Towards Streaming Perception: Mengtian Li, Yu-Xiong Wang, Deva Ramanan; [pdf]
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[DOI]
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation: Rakshith Shetty, Mario Fritz, Bernt Schiele; [pdf]
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[DOI]
Adversarial Generative Grammars for Human Activity Prediction: AJ Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo; [pdf]
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[DOI]
GDumb: A Simple Approach that Questions Our Progress in Continual Learning: Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania; [pdf]
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[DOI]
Learning Lane Graph Representations for Motion Forecasting: Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun; [pdf]
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[DOI]
What Matters in Unsupervised Optical Flow: Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova; [pdf]
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[DOI]
Synthesis and Completion of Facades from Satellite Imagery: Xiaowei Zhang, Christopher May, Daniel Aliaga; [pdf]
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[DOI]
Mapillary Planet-Scale Depth Dataset: Manuel López Antequera, Pau Gargallo, Markus Hofinger, Samuel Rota Bulò, Yubin Kuang, Peter Kontschieder; [pdf]
[DOI]
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction: Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun; [pdf]
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[DOI]
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters: Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang; [pdf]
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[DOI]
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning: Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang; [pdf]
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[DOI]
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation: Marie-Julie Rakotosaona, Maks Ovsjanikov; [pdf]
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[DOI]
Cross-Domain Cascaded Deep Translation: Oren Katzir, Dani Lischinski, Daniel Cohen-Or; [pdf]
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[DOI]
“Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face Alignment: Tatsuro Koizumi, William A. P. Smith; [pdf]
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[DOI]
Online Invariance Selection for Local Feature Descriptors: Rémi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys; [pdf]
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[DOI]
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations: Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang; [pdf]
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[DOI]
TextCaps: a Dataset for Image Captioning with Reading Comprehension: Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh; [pdf]
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[DOI]
It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction: Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon; [pdf]
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[DOI]
Learning What to Learn for Video Object Segmentation: Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte; [pdf]
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[DOI]
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing: Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll; [pdf]
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[DOI]
LIMP: Learning Latent Shape Representations with Metric Preservation Priors: Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà; [pdf]
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[DOI]
Unsupervised Sketch to Photo Synthesis: Runtao Liu, Qian Yu, Stella X. Yu; [pdf]
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[DOI]
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions: Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf , Oliver Bringmann, Matthias Bethge, Wieland Brendel; [pdf]
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[DOI]
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification: Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari; [pdf]
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[DOI]
Hierarchical Face Aging through Disentangled Latent Characteristics: Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun; [pdf]
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[DOI]
Hybrid Models for Open Set Recognition: Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo; [pdf]
[DOI]
TopoGAN: A Topology-Aware Generative Adversarial Network: Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen; [pdf]
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[DOI]
Learning to Localize Actions from Moments: Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei; [pdf]
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[DOI]
ForkGAN: Seeing into the Rainy Night: Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi; [pdf]
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[DOI]
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning: Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang; [pdf]
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[DOI]
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval: Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie; [pdf]
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[DOI]
TSIT: A Simple and Versatile Framework for Image-to-Image Translation: Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy; [pdf]
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[DOI]
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices: Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng; [pdf]
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[DOI]
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation: Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, Cewu Lu; [pdf]
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[DOI]
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve: Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai; [pdf]
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[DOI]
A Unified Framework of Surrogate Loss by Refactoring and Interpolation: Lanlan Liu, Mingzhe Wang, Jia Deng; [pdf]
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[DOI]
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images: Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi; [pdf]
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[DOI]
Memory-augmented Dense Predictive Coding for Video Representation Learning: Tengda Han, Weidi Xie, Andrew Zisserman; [pdf]
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[DOI]
PointMixup: Augmentation for Point Clouds: Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek; [pdf]
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[DOI]
Identity-Guided Human Semantic Parsing for Person Re-Identification: Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang; [pdf]
[DOI]
Learning Gradient Fields for Shape Generation: Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan; [pdf]
[supplementary material]

[DOI]
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder: Kuniaki Saito, Kate Saenko, Ming-Yu Liu; [pdf]
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[DOI]
Corner Proposal Network for Anchor-free, Two-stage Object Detection: Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian; [pdf]
[DOI]
PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click: Henghui Ding, Scott Cohen, Brian Price, Xudong Jiang; [pdf]
[DOI]
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing: Yapeng Tian, Dingzeyu Li, Chenliang Xu; [pdf]
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[DOI]
Learning Delicate Local Representations for Multi-Person Pose Estimation: Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun; [pdf]
[DOI]
Learning to Plan with Uncertain Topological Maps: Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf; [pdf]
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[DOI]
Neural Design Network: Graphic Layout Generation with Constraints: Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang; [pdf]
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[DOI]
Learning Open Set Network with Discriminative Reciprocal Points: Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian; [pdf]
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[DOI]
Convolutional Occupancy Networks: Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger; [pdf]
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[DOI]
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry: He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian; [pdf]
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[DOI]
TIDE: A General Toolbox for Identifying Object Detection Errors: Daniel Bolya, Sean Foley, James Hays, Judy Hoffman; [pdf]
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[DOI]
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding: Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, Or Litany; [pdf]
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[DOI]
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation: Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang; [pdf]
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[DOI]
Circumventing Outliers of AutoAugment with Knowledge Distillation: Longhui Wei, An Xiao, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Qi Tian; [pdf]
[DOI]
S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching: Hugo Germain, Guillaume Bourmaud, Vincent Lepetit; [pdf]
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[DOI]
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving: Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao; [pdf]
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[DOI]
Video Object Segmentation with Episodic Graph Memory Networks: Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool; [pdf]
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[DOI]
Rethinking Bottleneck Structure for Efficient Mobile Network Design: Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan; [pdf]
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[DOI]
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks: Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik; [pdf]
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[DOI]
Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach: Zerui Chen, Yan Huang, Hongyuan Yu, Bin Xue, Ke Han, Yiru Guo, Liang Wang; [pdf]
[DOI]
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets: Angelina Wang, Arvind Narayanan, Olga Russakovsky; [pdf]
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[DOI]
Contrastive Learning for Weakly Supervised Phrase Grounding: Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem; [pdf]
[supplementary material]

[DOI]
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis: Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot; [pdf]
[supplementary material]

[DOI]
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors: Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein; [pdf]
[supplementary material]

[DOI]
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images: Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo; [pdf]
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[DOI]
Semi-Siamese Training for Shallow Face Learning: Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei; [pdf]
[supplementary material]

[DOI]
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework: Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang; [pdf]
[supplementary material]

[DOI]
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition: Yukun Su, Guosheng Lin, Jinhui Zhu, Qingyao Wu; [pdf]
[DOI]
Binarized Neural Network for Single Image Super Resolution: Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao; [pdf]
[DOI]
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation: Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, Liang-Chieh Chen; [pdf]
[supplementary material]

[DOI]
Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation: Zhipeng Fan, Jun Liu, Yao Wang; [pdf]
[supplementary material]

[DOI]
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking: Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu; [pdf]
[supplementary material]

[DOI]
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets: Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin; [pdf]
[supplementary material]

[DOI]
Hamiltonian Dynamics for Real-World Shape Interpolation: Marvin Eisenberger, Daniel Cremers; [pdf]
[supplementary material]

[DOI]
Learning to Scale Multilingual Representations for Vision-Language Tasks: Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer; [pdf]
[supplementary material]

[DOI]
Multi-modal Transformer for Video Retrieval: Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid; [pdf]
[supplementary material]

[DOI]
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution: Yanchun Xie, Jimin Xiao, Mingjie Sun, Chao Yao, Kaizhu Huang; [pdf]
[DOI]
RobustFusion: Human Volumetric Capture with Data-driven Visual Cues using a RGBD Camera: Zhuo Su, Lan Xu, Zerong Zheng, Tao Yu, Yebin Liu, Lu Fang; [pdf]
[supplementary material]

[DOI]
Surface Normal Estimation of Tilted Images via Spatial Rectifier: Tien Do, Khiem Vuong, Stergios I. Roumeliotis, Hyun Soo Park; [pdf]
[supplementary material]

[DOI]
Multimodal Shape Completion via Conditional Generative Adversarial Networks: Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen; [pdf]
[supplementary material]

[DOI]
Generative Sparse Detection Networks for 3D Single-shot Object Detection: JunYoung Gwak, Christopher Choy, Silvio Savarese; [pdf]
[supplementary material]

[DOI]
Grounded Situation Recognition: Sarah Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi; [pdf]
[supplementary material]

[DOI]
Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos: Shaoxiang Chen, Wenhao Jiang, Wei Liu, Yu-Gang Jiang; [pdf]
[supplementary material]

[DOI]
Unpaired Learning of Deep Image Denoising: Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo; [pdf]
[supplementary material]

[DOI]
Self-supervising Fine-grained Region Similarities for Large-scale Image Localization: Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li; [pdf]
[supplementary material]

[DOI]
Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video: Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs; [pdf]
[supplementary material]

[DOI]
Side-Aware Boundary Localization for More Precise Object Detection: Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin; [pdf]
[supplementary material]

[DOI]
SF-Net: Single-Frame Supervision for Temporal Action Localization: Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou; [pdf]
[supplementary material]

[DOI]
Negative Margin Matters: Understanding Margin in Few-shot Classification: Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu; [pdf]
[supplementary material]

[DOI]
Particularity beyond Commonality: Unpaired Identity Transfer with Multiple References: Ruizheng Wu, Xin Tao, Yingcong Chen, Xiaoyong Shen, Jiaya Jia; [pdf]
[supplementary material]

[DOI]
Tracking Objects as Points: Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl; [pdf]
[supplementary material]

[DOI]
CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis: Jiadong Liang, Wenjie Pei, Feng Lu; [pdf]
[supplementary material]

[DOI]
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning: Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi; [pdf]
[DOI]
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning: Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Learning to Factorize and Relight a City: Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely; [pdf]
[supplementary material]

[DOI]
Region Graph Embedding Network for Zero-Shot Learning: Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao; [pdf]
[supplementary material]

[DOI]
GRAB: A Dataset of Whole-Body Human Grasping of Objects: Omid Taheri, Nima Ghorbani, Michael J. Black, Dimitrios Tzionas; [pdf]
[supplementary material]

[DOI]
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects: Edgar Tretschk, Ayush Tewari, Michael Zollhöfer, Vladislav Golyanik, Christian Theobalt; [pdf]
[supplementary material]

[DOI]
RANSAC-Flow: Generic Two-stage Image Alignment: Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry; [pdf]
[supplementary material]

[DOI]
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds: Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images: Kiru Park, Timothy Patten, Markus Vincze; [pdf]
[supplementary material]

[DOI]
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking: Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai; [pdf]
[supplementary material]

[DOI]
Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application: Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet; [pdf]
[supplementary material]

[DOI]
MovieNet: A Holistic Dataset for Movie Understanding: Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin; [pdf]
[supplementary material]

[DOI]
Short-Term and Long-Term Context Aggregation Network for Video Inpainting: Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri; [pdf]
[supplementary material]

[DOI]
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization: Juan Du, Rui Wang, Daniel Cremers; [pdf]
[supplementary material]

[DOI]
Face Super-Resolution Guided by 3D Facial Priors: Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, Wei Liu; [pdf]
[supplementary material]

[DOI]
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation: Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Are Labels Necessary for Neural Architecture Search?: Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie; [pdf]
[supplementary material]

[DOI]
BLSM: A Bone-Level Skinned Model of the Human Mesh: Haoyang Wang, Riza Alp Güler, Iasonas Kokkinos, George Papandreou, Stefanos Zafeiriou; [pdf]
[supplementary material]

[DOI]
Associative Alignment for Few-shot Image Classification: Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné; [pdf]
[supplementary material]

[DOI]
Cyclic Functional Mapping: Self-supervised Correspondence between Non-isometric Deformable Shapes: Dvir Ginzburg, Dan Raviv; [pdf]
[DOI]
View-Invariant Probabilistic Embedding for Human Pose: Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu; [pdf]
[supplementary material]

[DOI]
Contact and Human Dynamics from Monocular Video: Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, Jimei Yang; [pdf]
[supplementary material]

[DOI]
PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation: Wenxuan Wu, Zhi Yuan Wang, Zhuwen Li, Wei Liu, Li Fuxin; [pdf]
[supplementary material]

[DOI]
Points2Surf Learning Implicit Surfaces from Point Clouds: Philipp Erler, Paul Guerrero, Stefan Ohrhallinger, Niloy J. Mitra, Michael Wimmer; [pdf]
[supplementary material]

[DOI]
Few-Shot Scene-Adaptive Anomaly Detection: Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang; [pdf]
[supplementary material]

[DOI]
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting: Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro, Baoyuan Wang; [pdf]
[supplementary material]

[DOI]
Entropy Minimisation Framework for Event-based Vision Model Estimation: Urbano Miguel Nunes, Yiannis Demiris; [pdf]
[supplementary material]

[DOI]
Reconstructing NBA Players: Luyang Zhu, Konstantinos Rematas, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman; [pdf]
[supplementary material]

[DOI]
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments: Zhiming Chen, Kean Chen, Weiyao Lin, John See, Hui Yu, Yan Ke, Cong Yang; [pdf]
[DOI]
TENet: Triple Excitation Network for Video Salient Object Detection: Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He; [pdf]
[DOI]
Deep Feedback Inverse Problem Solver: Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification: Liuyu Xiang, Guiguang Ding, Jungong Han; [pdf]
[DOI]
Hallucinating Visual Instances in Total Absentia: Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Weakly-supervised 3D Shape Completion in the Wild: Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image: Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang; [pdf]
[supplementary material]

[DOI]
CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss: Lijun Wang, Jianming Zhang, Yifan Wang, Huchuan Lu, Xiang Ruan; [pdf]
[supplementary material]

[DOI]
Collaborative Video Object Segmentation by Foreground-Background Integration: Zongxin Yang, Yunchao Wei, Yi Yang; [pdf]
[supplementary material]

[DOI]
Adaptive Margin Diversity Regularizer for handling Data Imbalance in Zero-Shot SBIR: Titir Dutta, Anurag Singh, Soma Biswas; [pdf]
[DOI]
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation: Xucong Zhang, Seonwook Park, Thabo Beeler, Derek Bradley, Siyu Tang , Otmar Hilliges; [pdf]
[supplementary material]

[DOI]
Calibration-free Structure-from-Motion with Calibrated Radial Trifocal Tensors: Viktor Larsson, Nicolas Zobernig, Kasim Taskin, Marc Pollefeys; [pdf]
[supplementary material]

[DOI]
Occupancy Anticipation for Efficient Exploration and Navigation: Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman; [pdf]
[supplementary material]

[DOI]
Unified Image and Video Saliency Modeling: Richard Droste, Jianbo Jiao, J. Alison Noble; [pdf]
[supplementary material]

[DOI]
TAO: A Large-Scale Benchmark for Tracking Any Object: Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan; [pdf]
[supplementary material]

[DOI]
A Generalization of Otsu’s Method and Minimum Error Thresholding: Jonathan T. Barron; [pdf]
[supplementary material]

[DOI]
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks: Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing; [pdf]
[supplementary material]

[DOI]
Big Transfer (BiT): General Visual Representation Learning: Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby; [pdf]
[supplementary material]

[DOI]
VisualCOMET: Reasoning about the Dynamic Context of a Still Image: Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi; [pdf]
[supplementary material]

[DOI]
Few-shot Action Recognition with Permutation-invariant Attention: Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz; [pdf]
[supplementary material]

[DOI]
Character Grounding and Re-Identification in Story of Videos and Text Descriptions: Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung, Gunhee Kim; [pdf]
[DOI]
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling: Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li; [pdf]
[supplementary material]

[DOI]
Learning Visual Context by Comparison: Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo; [pdf]
[supplementary material]

[DOI]
Large Scale Holistic Video Understanding: Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Indirect Local Attacks for Context-aware Semantic Segmentation Networks: Krishna Kanth Nakka, Mathieu Salzmann; [pdf]
[supplementary material]

[DOI]
Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings: Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov; [pdf]
[supplementary material]

[DOI]
Connecting Vision and Language with Localized Narratives: Jordi Pont-Tuset, Jasper Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari; [pdf]
[supplementary material]

[DOI]
Adversarial T-shirt! Evading Person Detectors in A Physical World: Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin; [pdf]
[supplementary material]

[DOI]
Bounding-box Channels for Visual Relationship Detection: Sho Inayoshi, Keita Otani, Antonio Tejero-de-Pablos, Tatsuya Harada; [pdf]
[DOI]
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion: Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomas Pajdla; [pdf]
[supplementary material]

[DOI]
SRFlow: Learning the Super-Resolution Space with Normalizing Flow: Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte; [pdf]
[supplementary material]

[DOI]
DeepGMR: Learning Latent Gaussian Mixture Models for Registration: Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox , Jan Kautz; [pdf]
[supplementary material]

[DOI]
Active Perception using Light Curtains for Autonomous Driving: Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held; [pdf]
[supplementary material]

[DOI]
Invertible Neural BRDF for Object Inverse Rendering: Zhe Chen, Shohei Nobuhara, Ko Nishino; [pdf]
[supplementary material]

[DOI]
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network: Wenfeng Luo, Meng Yang; [pdf]
[supplementary material]

[DOI]
Practical Deep Raw Image Denoising on Mobile Devices: Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang; [pdf]
[supplementary material]

[DOI]
SoundSpaces: Audio-Visual Navigation in 3D Environments: Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, and Kristen Grauman; [pdf]
[supplementary material]

[DOI]
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization: Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, Gang Hua; [pdf]
[supplementary material]

[DOI]
Erasing Appearance Preservation in Optimization-based Smoothing: Lvmin Zhang, Chengze Li, Yi JI, Chunping Liu, Tien-tsin Wong; [pdf]
[supplementary material]

[DOI]
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler: Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson,Scott T. Grafton, Miguel P. Eckstein, William Yang Wang; [pdf]
[supplementary material]

[DOI]
Guided Deep Decoder: Unsupervised Image Pair Fusion: Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He; [pdf]
[supplementary material]

[DOI]
Filter Style Transfer between Photos: Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe; [pdf]
[supplementary material]

[DOI]
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image: Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang; [pdf]
[supplementary material]

[DOI]
Dynamic Group Convolution for Accelerating Convolutional Neural Networks: Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu; [pdf]
[supplementary material]

[DOI]
RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering: Yaoxiong Huang, Mengchao He, Lianwen Jin, Yongpan Wang; [pdf]
[DOI]
Object-Contextual Representations for Semantic Segmentation: Yuhui Yuan, Xilin Chen, Jingdong Wang; [pdf]
[supplementary material]

[DOI]
Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring: Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng; [pdf]
[supplementary material]

[DOI]
Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed: Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht; [pdf]
[supplementary material]

[DOI]
Photon-Efficient 3D Imaging with A Non-Local Neural Network: Jiayong Peng, Zhiwei Xiong, Xin Huang, Zheng-Ping Li, Dong Liu, Feihu Xu; [pdf]
[supplementary material]

[DOI]
GeLaTO: Generative Latent Textured Objects: Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B Goldman; [pdf]
[supplementary material]

[DOI]
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web: Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra; [pdf]
[supplementary material]

[DOI]
Directional Temporal Modeling for Action Recognition: Xinyu Li, Bing Shuai, Joseph Tighe; [pdf]
[supplementary material]

[DOI]
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)(n): Frank Dellaert, David M. Rosen, Jing Wu, Robert Mahony, Luca Carlone; [pdf]
[supplementary material]

[DOI]
Semantic Curiosity for Active Visual Learning: Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta; [pdf]
[supplementary material]

[DOI]
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training: Dongwon Park, Dong Un Kang, Jisoo Kim, Se Young Chun; [pdf]
[supplementary material]

[DOI]
ProgressFace: Scale-Aware Progressive Learning for Face Detection: Jiashu Zhu, Dong Li, Tiantian Han, Lu Tian, Yi Shan; [pdf]
[supplementary material]

[DOI]
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference: Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu; [pdf]
[supplementary material]

[DOI]
CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos: Zhensheng Shi, Cheng Guan, Liangjie Cao, Qianqian Li, Ju Liang, Zhaorui Gu, Haiyong Zheng, Bing Zheng; [pdf]
[DOI]
Modeling the Effects of Windshield Refraction for Camera Calibration: Frank Verbiest, Marc Proesmans, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search: Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP; [pdf]
[supplementary material]

[DOI]
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models: Eunhyeok Park, Sungjoo Yoo; [pdf]
[supplementary material]

[DOI]
Visual Relation Grounding in Videos: Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua; [pdf]
[supplementary material]

[DOI]
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows: Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu; [pdf]
[supplementary material]

[DOI]
Controlling Style and Semantics in Weakly-Supervised Image Generation: Dario Pavllo, Aurelien Lucchi, Thomas Hofmann; [pdf]
[supplementary material]

[DOI]
Jointly learning visual motion and confidence from local patches in event cameras: Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee; [pdf]
[supplementary material]

[DOI]
SODA: Story Oriented Dense Video Captioning Evaluation Framework: Soichiro Fujita, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata; [pdf]
[supplementary material]

[DOI]
Sketch-Guided Object Localization in Natural Images: Aditay Tripathi, Rajath R. Dani, Anand Mishra and Anirban Chakraborty; [pdf]
[supplementary material]

[DOI]
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses: Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed; [pdf]
[supplementary material]

[DOI]
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models: Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu; [pdf]
[supplementary material]

[DOI]
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement: William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba; [pdf]
[supplementary material]

[DOI]
STAR: Sparse Trained Articulated Human Body Regressor: Ahmed A. A. Osman, Timo Bolkart, Michael J. Black; [pdf]
[supplementary material]

[DOI]
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer: Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu; [pdf]
[supplementary material]

[DOI]
Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning: Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song; [pdf]
[supplementary material]

[DOI]
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians: Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun; [pdf]
[supplementary material]

[DOI]
Learning 3D Part Assembly from a Single Image: Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas; [pdf]
[supplementary material]

[DOI]
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions: Kaichun Mo, He Wang, Xinchen Yan, Leonidas Guibas; [pdf]
[supplementary material]

[DOI]
Highly Efficient Salient Object Detection with 100K Parameters: Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan; [pdf]
[supplementary material]

[DOI]
HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing: Qili Deng, Ziling Huang, Chung-Chi Tsai, Chia-Wen Lin; [pdf]
[DOI]
Lifespan Age Transformation Synthesis: Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman; [pdf]
[supplementary material]

[DOI]
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation: Xingchao Peng, Yichen Li, Kate Saenko; [pdf]
[supplementary material]

[DOI]
Simulating Content Consistent Vehicle Datasets with Attribute Descent: Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon; [pdf]
[DOI]
Multiview Detection with Feature Perspective Transformation: Yunzhong Hou, Liang Zheng, Stephen Gould; [pdf]
[supplementary material]

[DOI]
Learning Object Relation Graph and Tentative Policy for Visual Navigation: Heming Du, Xin Yu, Liang Zheng; [pdf]
[supplementary material]

[DOI]
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition: Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng; [pdf]
[DOI]
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning: Liad Pollak Zuckerman, Eyal Naor, George Pisha, Shai Bagon, Michal Irani; [pdf]
[supplementary material]

[DOI]
Inducing Optimal Attribute Representations for Conditional GANs: Binod Bhattarai, Tae-Kyun Kim; [pdf]
[supplementary material]

[DOI]
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition: Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris; [pdf]
[supplementary material]

[DOI]
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation: Vladimir V. Kniaz, Vladimir A. Knyaz, Fabio Remondino, Artem Bordodymov, Petr Moshkantsev; [pdf]
[supplementary material]

[DOI]
Consistency Guided Scene Flow Estimation: Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu; [pdf]
[supplementary material]

[DOI]
Autoregressive Unsupervised Image Segmentation: Yassine Ouali, Céline Hudelot, Myriam Tami; [pdf]
[supplementary material]

[DOI]
Controllable Image Synthesis via SegVAE: Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang; [pdf]
[supplementary material]

[DOI]
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search: Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang , Jun Wang, Olga Fink; [pdf]
[supplementary material]

[DOI]
Efficient Non-Line-of-Sight Imaging from Transient Sinograms: Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O’Toole; [pdf]
[supplementary material]

[DOI]
Texture Hallucination for Large-Factor Painting Super-Resolution: Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu; [pdf]
[supplementary material]

[DOI]
Learning Progressive Joint Propagation for Human Motion Prediction: Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann; [pdf]
[supplementary material]

[DOI]
Image Stitching and Rectification for Hand-Held Cameras: Bingbing Zhuang, Quoc-Huy Tran; [pdf]
[supplementary material]

[DOI]
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds: Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Měch; [pdf]
[supplementary material]

[DOI]
The Group Loss for Deep Metric Learning: Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé; [pdf]
[supplementary material]

[DOI]
Learning Object Depth from Camera Motion and Video Object Segmentation: Brent A. Griffin, Jason J. Corso; [pdf]
[supplementary material]

[DOI]
OnlineAugment: Online Data Augmentation with Less Domain Knowledge: Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas; [pdf]
[supplementary material]

[DOI]
Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction: Yiming Qian, Yasutaka Furukawa; [pdf]
[supplementary material]

[DOI]
Intra-class Feature Variation Distillation for Semantic Segmentation: Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu; [pdf]
[DOI]
Temporal Distinct Representation Learning for Action Recognition: Junwu Weng, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xudong Jiang, Junsong Yuan; [pdf]
[DOI]
Representative Graph Neural Network: Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang; [pdf]
[supplementary material]

[DOI]
Deformation-Aware 3D Model Embedding and Retrieval: Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas; [pdf]
[supplementary material]

[DOI]
Atlas: End-to-End 3D Scene Reconstruction from Posed Images: Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich; [pdf]
[supplementary material]

[DOI]
Multiple Class Novelty Detection Under Data Distribution Shift: Poojan Oza, Hien V. Nguyen, Vishal M. Patel; [pdf]
[supplementary material]

[DOI]
Colorization of Depth Map via Disentanglement: Chung-Sheng Lai, Zunzhi You, Ching-Chun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu; [pdf]
[supplementary material]

[DOI]
Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes: Johanna Wald, Torsten Sattler, Stuart Golodetz, Tommaso Cavallari, Federico Tombari; [pdf]
[supplementary material]

[DOI]
GeoGraph: Graph-based multi-view object detection with geometric cues end-to-end: Ahmed Samy Nassar, Stefano D’Aronco, Sébastien Lefèvre, Jan D. Wegner; [pdf]
[DOI]
Localizing the Common Action Among a Few Videos: Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek; [pdf]
[supplementary material]

[DOI]
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification: Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky; [pdf]
[supplementary material]

[DOI]
Traffic Accident Benchmark for Causality Recognition: Tackgeun You, Bohyung Han; [pdf]
[DOI]
Face Anti-Spoofing with Human Material Perception: Zitong Yu, Xiaobai Li, Xuesong Niu, Jingang Shi, Guoying Zhao; [pdf]
[supplementary material]

[DOI]
How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction: Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhigang Deng, Zhaoqi Wang; [pdf]
[DOI]
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification: Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian; [pdf]
[DOI]
NASA Neural Articulated Shape Approximation: Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi; [pdf]
[supplementary material]

[DOI]
Towards Unique and Informative Captioning of Images: Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky; [pdf]
[supplementary material]

[DOI]
When Does Self-supervision Improve Few-shot Learning?: Jong-Chyi Su, Subhransu Maji, Bharath Hariharan; [pdf]
[supplementary material]

[DOI]
Two-branch Recurrent Network for Isolating Deepfakes in Videos: Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael AbdAlmageed; [pdf]
[DOI]
Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment: Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto; [pdf]
[supplementary material]

[DOI]
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models: Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le; [pdf]
[supplementary material]

[DOI]
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation: Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo; [pdf]
[DOI]
Global Distance-distributions Separation for Unsupervised Person Re-identification: Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen; [pdf]
[supplementary material]

[DOI]
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image: Gyeongsik Moon, Kyoung Mu Lee; [pdf]
[supplementary material]

[DOI]
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose: Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee; [pdf]
[supplementary material]

[DOI]
ALRe: Outlier Detection for Guided Refinement: Mingzhu Zhu, Zhang Gao, Junzhi Yu, Bingwei He, Jiantao Liu; [pdf]
[DOI]
Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations: Yifan Yang, Guorong Li, Zhe Wu, Li Su, Qingming Huang, Nicu Sebe; [pdf]
[DOI]
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition: Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao; [pdf]
[supplementary material]

[DOI]
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection: Carlo Biffi, Steven McDonagh, Philip Torr, Aleš Leonardis, Sarah Parisot; [pdf]
[supplementary material]

[DOI]
Curriculum DeepSDF: Yueqi Duan, Haidong Zhu, He Wang, Li Yi Ram Nevatia, Leonidas J. Guibas; [pdf]
[DOI]
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance: Minghua Liu, Xiaoshuai Zhang, Hao Su; [pdf]
[supplementary material]

[DOI]
Improved Adversarial Training via Learned Optimizer: Yuanhao Xiong, Cho-Jui Hsieh; [pdf]
[supplementary material]

[DOI]
Component Divide-and-Conquer for Real-World Image Super-Resolution: Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin; [pdf]
[supplementary material]

[DOI]
Enabling Deep Residual Networks for Weakly Supervised Object Detection: Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu; [pdf]
[supplementary material]

[DOI]
Deep near-light photometric stereo for spatially varying reflectances: Hiroaki Santo, Michael Waechter, Yasuyuki Matsushita; [pdf]
[supplementary material]

[DOI]
Learning Visual Representations with Caption Annotations: Mert Bulent Sariyildiz, Julien Perez, Diane Larlus; [pdf]
[supplementary material]

[DOI]
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier: Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos; [pdf]
[supplementary material]

[DOI]
Regression of Instance Boundary by Aggregated CNN and GCN: Yanda Meng, Wei Meng, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Xiaowei Huang, Yalin Zheng; [pdf]
[supplementary material]

[DOI]
Social Adaptive Module for Weakly-supervised Group Activity Recognition: Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, Qi Tian; [pdf]
[DOI]
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection: Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval: Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang; [pdf]
[supplementary material]

[DOI]
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection: Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang; [pdf]
[supplementary material]

[DOI]
Faster Person Re-Identification: Guan’an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou; [pdf]
[DOI]
Quantization Guided JPEG Artifact Correction: Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava; [pdf]
[supplementary material]

[DOI]
3PointTM: Faster Measurement of High-Dimensional Transmission Matrices: Yujun Chen, Manoj Kumar Sharma, Ashutosh Sabharwal, Ashok Veeraraghavan, Aswin C. Sankaranarayanan; [pdf]
[DOI]
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer: Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis , Jiawen Chen; [pdf]
[supplementary material]

[DOI]
Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction: Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li; [pdf]
[supplementary material]

[DOI]
World-Consistent Video-to-Video Synthesis: Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu; [pdf]
[supplementary material]

[DOI]
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation: Qi Fan, Lei Ke, Wenjie Pei, Chi-Keung Tang, Yu-Wing Tai; [pdf]
[DOI]
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild: Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh; [pdf]
[supplementary material]

[DOI]
Event-based Asynchronous Sparse Convolutional Networks: Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza; [pdf]
[supplementary material]

[DOI]
AtlantaNet: Inferring the 3D Indoor Layout from a Single 360(∘) Image beyond the Manhattan World Assumption: Giovanni Pintore, Marco Agus, Enrico Gobbetti; [pdf]
[supplementary material]

[DOI]
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification: Xiaofang Wang, Xuehan Xiong, Maxim Neumann, AJ Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua; [pdf]
[supplementary material]

[DOI]
REMIND Your Neural Network to Prevent Catastrophic Forgetting: Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan; [pdf]
[supplementary material]

[DOI]
Image Classification in the Dark using Quanta Image Sensors: Abhiram Gnanasambandam, Stanley H. Chan; [pdf]
[supplementary material]

[DOI]
n-Reference Transfer Learning for Saliency Prediction: Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao; [pdf]
[supplementary material]

[DOI]
Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection: Shuhan Chen, Yun Fu; [pdf]
[supplementary material]

[DOI]
Bottom-Up Temporal Action Localization with Mutual Regularization: Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, Qi Tian; [pdf]
[supplementary material]

[DOI]
On Modulating the Gradient for Meta-Learning: Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi; [pdf]
[supplementary material]

[DOI]
Domain-Specific Mappings for Generative Adversarial Style Transfer: Hsin-Yu Chang, Zhixiang Wang, Yung-Yu Chuang; [pdf]
[supplementary material]

[DOI]
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning: Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen; [pdf]
[DOI]
DHP: Differentiable Meta Pruning via HyperNetworks: Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte; [pdf]
[supplementary material]

[DOI]
Deep Transferring Quantization: Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan; [pdf]
[supplementary material]

[DOI]
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification: Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou; [pdf]
[DOI]
Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?: Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou; [pdf]
[DOI]
Arbitrary-Oriented Object Detection with Circular Smooth Label: Xue Yang, Junchi Yan; [pdf]
[supplementary material]

[DOI]
Learning Event-Driven Video Deblurring and Interpolation: Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, Jimmy Ren; [pdf]
[supplementary material]

[DOI]
Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference: Nelson Nauata, Yasutaka Furukawa; [pdf]
[supplementary material]

[DOI]
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation: Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang; [pdf]
[supplementary material]

[DOI]
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation: Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu; [pdf]
[supplementary material]

[DOI]
Prototype Mixture Models for Few-shot Semantic Segmentation: Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye; [pdf]
[supplementary material]

[DOI]
Webly Supervised Image Classification with Self-Contained Confidence: Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng , Ping Luo, Wayne Zhang; [pdf]
[supplementary material]

[DOI]
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization: Haibao Yu, Qi Han, Jianbo Li, Jianping Shi, Guangliang Cheng, Bin Fan; [pdf]
[supplementary material]

[DOI]
Monocular 3D Object Detection via Feature Domain Adaptation: Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, Shilei Wen; [pdf]
[supplementary material]

[DOI]
Talking-head Generation with Rhythmic Head Motion: Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu; [pdf]
[supplementary material]

[DOI]
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation: Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You; [pdf]
[supplementary material]

[DOI]
VPN: Learning Video-Pose Embedding for Activities of Daily Living: Srijan Das, Saurav Sharma, Rui Dai, François Brémond, Monique Thonnat; [pdf]
[supplementary material]

[DOI]
Soft Anchor-Point Object Detection: Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides; [pdf]
[supplementary material]

[DOI]
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid: Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler; [pdf]
[supplementary material]

[DOI]
Soft Expert Reward Learning for Vision-and-Language Navigation: Hu Wang, Qi Wu, Chunhua Shen; [pdf]
[DOI]
Part-aware Prototype Network for Few-shot Semantic Segmentation: Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He; [pdf]
[supplementary material]

[DOI]
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization: Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng; [pdf]
[supplementary material]

[DOI]
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos: Mahsa Ehsanpour, Alireza Abedin, Fatemeh Saleh, Javen Shi, Ian Reid , Hamid Rezatofighi; [pdf]
[supplementary material]

[DOI]
Whole-Body Human Pose Estimation in the Wild: Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo; [pdf]
[supplementary material]

[DOI]
Relative Pose Estimation of Calibrated Cameras with Known SE(3) Invariants: Bo Li, Evgeniy Martyushev, Gim Hee Lee; [pdf]
[supplementary material]

[DOI]
Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing: Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingliang Chen; [pdf]
[supplementary material]

[DOI]
Deep Hough Transform for Semantic Line Detection: Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng; [pdf]
[supplementary material]

[DOI]
Structured Landmark Detection via Topology-Adapting Deep Graph Learning: Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao; [pdf]
[supplementary material]

[DOI]
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning: Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre; [pdf]
[supplementary material]

[DOI]
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization: Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman; [pdf]
[supplementary material]

[DOI]
Contrastive Learning for Unpaired Image-to-Image Translation: Taesung Park Alexei A. Efros Richard Zhang Jun-Yan Zhu; [pdf]
[supplementary material]

[DOI]
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction: Ye Yuan, Kris Kitani; [pdf]
[supplementary material]

[DOI]
GRNet: Gridding Residual Network for Dense Point Cloud Completion: Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun; [pdf]
[supplementary material]

[DOI]
Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition: Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang; [pdf]
[DOI]
Blind Face Restoration via Deep Multi-scale Component Dictionaries: Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods: Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim; [pdf]
[supplementary material]

[DOI]
Inequality-Constrained and Robust 3D Face Model Fitting: Evangelos Sariyanidi, Casey J. Zampella, Robert T. Schultz, Birkan Tunc; [pdf]
[supplementary material]

[DOI]
Gabor Layers Enhance Network Robustness: Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbeláez; [pdf]
[supplementary material]

[DOI]
Conditional Image Repainting via Semantic Bridge and Piecewise Value Function: Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi; [pdf]
[supplementary material]

[DOI]
Learnable Cost Volume Using the Cayley Representation: Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang; [pdf]
[supplementary material]

[DOI]
HALO: Hardware-Aware Learning to Optimize: Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin; [pdf]
[supplementary material]

[DOI]
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling: Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou; [pdf]
[supplementary material]

[DOI]
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition: Yonghyun Kim, Wonpyo Park, Jongju Shin; [pdf]
[DOI]
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision: Xinzhe Han, Shuhui Wang, Chi Su, Weigang Zhang, Qingming Huang, Qi Tian; [pdf]
[supplementary material]

[DOI]
Domain Adaptive Semantic Segmentation Using Weak Labels: Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker; [pdf]
[supplementary material]

[DOI]
Knowledge Distillation Meets Self-Supervision: Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions: Ignacio Rocco, Relja Arandjelović, Josef Sivic; [pdf]
[supplementary material]

[DOI]
Reconstructing the Noise Variance Manifold for Image Denoising: Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory Slabaugh, Stefanos Zafeiriou; [pdf]
[supplementary material]

[DOI]
Occlusion-Aware Depth Estimation with Adaptive Normal Constraints: Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang; [pdf]
[supplementary material]

[DOI]
VisualEchoes: Spatial Image Representation Learning through Echolocation: Ruohan Gao, Changan Chen, Ziad Al-Halah, Carl Schissler, Kristen Grauman; [pdf]
[supplementary material]

[DOI]
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval: Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman; [pdf]
[supplementary material]

[DOI]
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation: Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens; [pdf]
[supplementary material]

[DOI]
Spatially Aware Multimodal Transformers for TextVQA: Yash Kant, Dhruv Batra, Peter Anderson, Alexander Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal; [pdf]
[supplementary material]

[DOI]
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector: Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang; [pdf]
[supplementary material]

[DOI]
URIE: Universal Image Enhancement for Visual Recognition in the Wild: Taeyoung Son Juwon Kang Namyup Kim Sunghyun Cho Suha Kwak; [pdf]
[supplementary material]

[DOI]
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation: Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai; [pdf]
[supplementary material]

[DOI]
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning: Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu; [pdf]
[DOI]
Unpaired Image-to-Image Translation using Adversarial Consistency Loss: Yihao Zhao, Ruihai Wu, Hao Dong; [pdf]
[supplementary material]

[DOI]
Discriminability Distillation in Group Representation Learning: Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu; [pdf]
[supplementary material]

[DOI]
Monocular Expressive Body Regression through Body-Driven Attention: Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas , Michael J. Black; [pdf]
[supplementary material]

[DOI]
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation: Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng; [pdf]
[supplementary material]

[DOI]
Linguistic Structure Guided Context Modeling for Referring Image Segmentation: Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Faxi Zhang, Jizhong Han; [pdf]
[supplementary material]

[DOI]
Federated Visual Classification with Real-World Data Distribution: Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown; [pdf]
[supplementary material]

[DOI]
Robust Re-Identification by Multiple Views Knowledge Distillation: Angelo Porrello, Luca Bergamini, Simone Calderara; [pdf]
[supplementary material]

[DOI]
Defocus Deblurring Using Dual-Pixel Data: Abdullah Abuolaim, Michael S. Brown; [pdf]
[supplementary material]

[DOI]
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos: Tianshu Yu, Yikang Li, Baoxin Li; [pdf]
[DOI]
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping: Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra , Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha; [pdf]
[supplementary material]

[DOI]
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning: Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen; [pdf]
[supplementary material]

[DOI]
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks: Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu; [pdf]
[supplementary material]

[DOI]
Learning to Learn with Variational Information Bottleneck for Domain Generalization: Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao; [pdf]
[supplementary material]

[DOI]
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis: Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun; [pdf]
[supplementary material]

[DOI]
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks: Gil Shomron, Ron Banner, Moran Shkolnik, Uri Weiser; [pdf]
[supplementary material]

[DOI]
Layered Neighborhood Expansion for Incremental Multiple Graph Matching: Zixuan Chen, Zhihui Xie, Junchi Yan Yinqiang Zheng, Xiaokang Yang; [pdf]
[DOI]
SCAN: Learning to Classify Images without Labels: Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Graph convolutional networks for learning with few clean and many noisy labels: Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum, Cordelia Schmid; [pdf]
[supplementary material]

[DOI]
Object-and-Action Aware Model for Visual Language Navigation: Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu; [pdf]
[DOI]
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation: Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, Wei Tang; [pdf]
[supplementary material]

[DOI]
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution: Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia; [pdf]
[supplementary material]

[DOI]
Efficient Semantic Video Segmentation with Per-frame Inference: Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang; [pdf]
[supplementary material]

[DOI]
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers: Christoph Kamann, Carsten Rother; [pdf]
[supplementary material]

[DOI]
Deep Spiking Neural Network: Energy Efficiency Through Time based Coding: Bing Han, Kaushik Roy; [pdf]
[DOI]
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling: Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis; [pdf]
[supplementary material]

[DOI]
Utilizing Patch-level Category Activation Patterns for Multiple Class Novelty Detection: Poojan Oza, Vishal M. Patel; [pdf]
[supplementary material]

[DOI]
People as Scene Probes: Yifan Wang, Brian L. Curless, Steven M. Seitz; [pdf]
[supplementary material]

[DOI]
Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes: Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang; [pdf]
[supplementary material]

[DOI]
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions: Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji; [pdf]
[supplementary material]

[DOI]
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video: Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo; [pdf]
[supplementary material]

[DOI]
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost: Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan . Arık, Larry S. Davis, Tomas Pfister; [pdf]
[supplementary material]

[DOI]
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation: Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin; [pdf]
[DOI]
Modeling 3D Shapes by Reinforcement Learning: Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner; [pdf]
[supplementary material]

[DOI]
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform: Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision: Damien Teney, Ehsan Abbasnedjad, Anton van den Hengel; [pdf]
[supplementary material]

[DOI]
CN: Channel Normalization For Point Cloud Recognition: Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia; [pdf]
[DOI]
Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model: Ning Zhang, Junchi Yan; [pdf]
[DOI]
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning: Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha; [pdf]
[DOI]
Scene Text Image Super-resolution in the wild: Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai; [pdf]
[supplementary material]

[DOI]
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling: Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim; [pdf]
[supplementary material]

[DOI]
Learning Disentangled Representations with Latent Variation Predictability: Xinqi Zhu, Chang Xu, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Deep Space-Time Video Upsampling Networks: Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim; [pdf]
[supplementary material]

[DOI]
Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery: Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, Meng Wang; [pdf]
[supplementary material]

[DOI]
Fast Video Object Segmentation using the Global Context Module: Yu Li, Zhuoran Shen, Ying Shan; [pdf]
[supplementary material]

[DOI]
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos: Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid; [pdf]
[supplementary material]

[DOI]
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification: Nikita Dvornik, Cordelia Schmid, Julien Mairal; [pdf]
[supplementary material]

[DOI]
MessyTable: Instance Association in Multiple Camera Views: Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
A Unified Framework for Shot Type Classification Based on Subject Centric Lens: Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin; [pdf]
[supplementary material]

[DOI]
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues: Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman; [pdf]
[supplementary material]

[DOI]
HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization: Neng Qian, Jiayi Wang, Franziska Mueller, Florian Bernard, Vladislav Golyanik, Christian Theobalt; [pdf]
[supplementary material]

[DOI]
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions: Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang; [pdf]
[DOI]
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions: Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li; [pdf]
[DOI]
Towards Real-Time Multi-Object Tracking: Zhongdao Wang, Liang Zheng, Yixuan Liu, Yali Li, Shengjin Wang; [pdf]
[DOI]
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation: Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng; [pdf]
[DOI]
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss: Yang Li, Shichao Kan, Zhihai He; [pdf]
[supplementary material]

[DOI]
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos: Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe; [pdf]
[supplementary material]

[DOI]
Hierarchical Style-based Networks for Motion Synthesis: Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell; [pdf]
[supplementary material]

[DOI]
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop: Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, Roberto Cipolla; [pdf]
[supplementary material]

[DOI]
Learning to Count in the Crowd from Limited Labeled Data: Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Sam Babu, R. Venkatesh Babu, Vishal M. Patel; [pdf]
[supplementary material]

[DOI]
SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection: Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos; [pdf]
[DOI]
Explainable Face Recognition: Jonathan R. Williford, Brandon B. May, Jeffrey Byrne; [pdf]
[supplementary material]

[DOI]
From Shadow Segmentation to Shadow Removal: Hieu Le, Dimitris Samaras; [pdf]
[supplementary material]

[DOI]
Diverse and Admissible Trajectory Prediction through Multimodal Context Understanding: Seong Hyeon Park, Gyubok Lee, Jimin Seo, Manoj Bhat, Minseok Kang, Jonathan Francis, Ashwin Jadhav, Paul Pu Liang, Louis-Philippe Morency; [pdf]
[supplementary material]

[DOI]
CONFIG: Controllable Neural Face Image Generation: Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton; [pdf]
[supplementary material]

[DOI]
Single View Metrology in the Wild: Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy, Federico Perazzi, Jonathan Eisenmann, Kalyan Sunkavalli, Manmohan Chandraker; [pdf]
[supplementary material]

[DOI]
Procedure Planning in Instructional Videos: Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles; [pdf]
[supplementary material]

[DOI]
Funnel Activation for Visual Recognition: Ningning Ma, Xiangyu Zhang, Jian Sun; [pdf]
[DOI]
GIQA: Generated Image Quality Assessment: Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen; [pdf]
[DOI]
Adversarial Continual Learning: Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach; [pdf]
[supplementary material]

[DOI]
Adapting Object Detectors with Conditional Domain Normalization: Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu , Xiaogang Wang; [pdf]
[supplementary material]

[DOI]
HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction: Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan; [pdf]
[DOI]
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction: Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand , Manmohan Chandraker; [pdf]
[supplementary material]

[DOI]
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting: Shengcai Liao, Ling Shao; [pdf]
[supplementary material]

[DOI]
Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing: Tongyao Pang, Yuhui Quan, Hui Ji; [pdf]
[supplementary material]

[DOI]
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement: Jian Wang, Xiang Long, Yuan Gao, Errui Ding, Shilei Wen; [pdf]
[DOI]
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction: Minchul Shin; [pdf]
[supplementary material]

[DOI]
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification: Fang Zhao, Shengcai Liao, Guo-Sen Xie, Jian Zhao, Kaihao Zhang, Ling Shao; [pdf]
[DOI]
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance: Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum; [pdf]
[supplementary material]

[DOI]
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation: Xiaokang Chen, Kwan-Yee Lin, Jingbo Wang, Wayne Wu, Chen Qian, Hongsheng Li, Gang Zeng; [pdf]
[DOI]
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference: Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han; [pdf]
[supplementary material]

[DOI]
Neural Re-Rendering of Humans from a Single Image: Kripasindhu Sarkar, Dushyant Mehta, Weipeng Xu, Vladislav Golyanik, Christian Theobalt; [pdf]
[supplementary material]

[DOI]
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation: Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia; [pdf]
[supplementary material]

[DOI]
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration: Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong; [pdf]
[DOI]
Why do These Match? Explaining the Behavior of Image Similarity Models: Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David Forsyth; [pdf]
[supplementary material]

[DOI]
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing: Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian; [pdf]
[supplementary material]

[DOI]
Progressive Transformers for End-to-End Sign Language Production: Ben Saunders, Necati Cihan Camgoz, Richard Bowden; [pdf]
[supplementary material]

[DOI]
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting: Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai; [pdf]
[supplementary material]

[DOI]
Making Affine Correspondences Work in Camera Geometry Computation: Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomas Pajdla, Zuzana Kukelova; [pdf]
[supplementary material]

[DOI]
Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces: Jiankang Deng, Jia Guo, Tongliang Liu, Mingming Gong, Stefanos Zafeiriou; [pdf]
[supplementary material]

[DOI]
Foley Music: Learning to Generate Music from Videos: Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba; [pdf]
[supplementary material]

[DOI]
Contrastive Multiview Coding: Yonglong Tian, Dilip Krishnan, Phillip Isola; [pdf]
[supplementary material]

[DOI]
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses: Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan Yuille; [pdf]
[supplementary material]

[DOI]
Generative Low-bitwidth Data Free Quantization: Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan; [pdf]
[supplementary material]

[DOI]
Local Correlation Consistency for Knowledge Distillation: Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian; [pdf]
[supplementary material]

[DOI]
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild: Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa; [pdf]
[supplementary material]

[DOI]
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation: Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations: Yuanhan Zhang, ZhenFei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues: Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, Jing Shao; [pdf]
[DOI]
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation: Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise; [pdf]
[supplementary material]

[DOI]
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation: John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak; [pdf]
[supplementary material]

[DOI]
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization: Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang , Haozhe Wu, Haizhou Ai, Qi Tian; [pdf]
[supplementary material]

[DOI]
AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation: Xiaobing Zhang, Shijian Lu, Haigang Gong, Zhipeng Luo, Ming Liu; [pdf]
[DOI]
Online Multi-modal Person Search in Videos: Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin; [pdf]
[DOI]
Single Image Super-Resolution via a Holistic Attention Network: Ben Niu, Weilei Wen, Wenqi Ren, Xiangde Zhang, Lianping Yang, Shuzhen Wang, Kaihao Zhang, Xiaochun Cao, Haifeng Shen; [pdf]
[supplementary material]

[DOI]
Can You Read Me Now? Content Aware Rectification using Angle Supervision: Amir Markovitz, Inbal Lavi, Or Perel, Shai Mazor, Roee Litman; [pdf]
[supplementary material]

[DOI]
Momentum Batch Normalization for Deep Learning with Small Batch Size: Hongwei Yong, Jianqiang Huang, Deyu Meng, Xiansheng Hua, Lei Zhang; [pdf]
[supplementary material]

[DOI]
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds: Abdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem; [pdf]
[supplementary material]

[DOI]
Edge-aware Graph Representation Learning and Reasoning for Face Parsing: Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei; [pdf]
[DOI]
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network: Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao; [pdf]
[supplementary material]

[DOI]
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences: Behnaz Rezaei, Amirreza Farnoosh, Sarah Ostadabbas; [pdf]
[supplementary material]

[DOI]
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives: Zaiwei Zhang, Bo Sun, Haitao Yang, Qixing Huang; [pdf]
[supplementary material]

[DOI]
Expressive Telepresence via Modular Codec Avatars: Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh; [pdf]
[supplementary material]

[DOI]
Cascade Graph Neural Networks for RGB-D Salient Object Detection: Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu; [pdf]
[DOI]
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret: Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh; [pdf]
[supplementary material]

[DOI]
Generating Videos of Zero-Shot Compositions of Actions and Objects: Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, Greg Mori; [pdf]
[supplementary material]

[DOI]
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language: Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang; [pdf]
[supplementary material]

[DOI]
Renovating Parsing R-CNN for Accurate Multiple Human Parsing: Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu; [pdf]
[DOI]
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning: Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa; [pdf]
[DOI]
Gradient-Induced Co-Saliency Detection: Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng; [pdf]
[supplementary material]

[DOI]
Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks: Wending Yan, Robby T. Tan, Dengxin Dai; [pdf]
[DOI]
SegFix: Model-Agnostic Boundary Refinement for Segmentation: Yuhui Yuan, Jingyi Xie, Xilin Chen, Jingdong Wang; [pdf]
[supplementary material]

[DOI]
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction: Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi; [pdf]
[supplementary material]

[DOI]
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars: Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor Lempitsky; [pdf]
[supplementary material]

[DOI]
Neural Geometric Parser for Single Image Camera Calibration: Jinwoo Lee, Minhyuk Sung, Hyunjoon Lee, Junho Kim; [pdf]
[supplementary material]

[DOI]
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision: Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo; [pdf]
[supplementary material]

[DOI]
Learning Architectures for Binary Networks: Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi; [pdf]
[supplementary material]

[DOI]
Semantic View Synthesis: Hsin-Ping Huang, Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang; [pdf]
[supplementary material]

[DOI]
An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression: Daichi Iwata, Michael Waechter, Wen-Yan Lin, Yasuyuki Matsushita; [pdf]
[DOI]
Relative Pose from Deep Learned Depth and a Single Affine Correspondence: Ivan Eichhardt, Daniel Barath; [pdf]
[supplementary material]

[DOI]
Video Super-Resolution with Recurrent Structure-Detail Network: Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian; [pdf]
[DOI]
Shape Adaptor: A Learnable Resizing Module: Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns; [pdf]
[supplementary material]

[DOI]
Shuffle and Attend: Video Domain Adaptation: Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang; [pdf]
[supplementary material]

[DOI]
DRG: Dual Relation Graph for Human-Object Interaction Detection: Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang; [pdf]
[supplementary material]

[DOI]
Flow-edge Guided Video Completion: Chen Gao, Ayush Saraf, Jia-Bin Huang, Johannes Kopf; [pdf]
[supplementary material]

[DOI]
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery: Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos; [pdf]
[supplementary material]

[DOI]
Towards End-to-end Video-based Eye-Tracking: Seonwook Park, Emre Aksan, Xucong Zhang, Otmar Hilliges; [pdf]
[supplementary material]

[DOI]
Generating Handwriting via Decoupled Style Descriptors: Atsunobu Kotani, Stefanie Tellex, James Tompkin; [pdf]
[supplementary material]

[DOI]
LEED: Label-Free Expression Editing via Disentanglement: Rongliang Wu, Shijian Lu; [pdf]
[supplementary material]

[DOI]
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards: Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang; [pdf]
[supplementary material]

[DOI]
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder: Gouthaman KV, Anurag Mittal; [pdf]
[supplementary material]

[DOI]
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation: Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu; [pdf]
[supplementary material]

[DOI]
Class-Incremental Domain Adaptation: Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu; [pdf]
[supplementary material]

[DOI]
Anti-Bandit Neural Architecture Search for Model Defense: Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David Doermann; [pdf]
[DOI]
Wavelet-Based Dual-Branch Network for Image Demoiréing: Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Aleš Leonardis, Wengang Zhou, Qi Tian; [pdf]
[supplementary material]

[DOI]
Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping: Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory Slabaugh; [pdf]
[supplementary material]

[DOI]
Non-Local Spatial Propagation Network for Depth Completion: Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, In So Kweon; [pdf]
[supplementary material]

[DOI]
DanbooRegion: An Illustration Region Dataset: Lvmin Zhang, Yi JI, Chunping Liu; [pdf]
[supplementary material]

[DOI]
Event Enhanced High-Quality Image Recovery: Bishan Wang, Jingwei He, Lei Yu, Gui-Song Xia, Wen Yang; [pdf]
[supplementary material]

[DOI]
PackDet: Packed Long-Head Object Detector: Kun Ding, Guojin He, Huxiang Gu, Zisha Zhong, Shiming Xiang, Chunhong Pan; [pdf]
[supplementary material]

[DOI]
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS: Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang; [pdf]
[supplementary material]

[DOI]
Learning Semantic Neural Tree for Human Parsing: Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu; [pdf]
[supplementary material]

[DOI]
Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation: Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen; [pdf]
[supplementary material]

[DOI]
Burst Denoising via Temporally Shifted Wavelet Transforms: Xuejian Rong, Denis Demandolx, Kevin Matzen, Priyam Chatterjee, Yingli Tian; [pdf]
[supplementary material]

[DOI]
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans: Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan Yuille, Le Lu, ChienHung Liao, Adam P. Harrison; [pdf]
[DOI]
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction: Junwei Liang, Lu Jiang, Alexander Hauptmann; [pdf]
[supplementary material]

[DOI]
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation: Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler; [pdf]
[supplementary material]

[DOI]
Rethinking Pseudo-LiDAR Representation: Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang; [pdf]
[supplementary material]

[DOI]
Deep Multi Depth Panoramas for View Synthesis: Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi; [pdf]
[supplementary material]

[DOI]
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection: Fa-Ting Hong, Xuanteng Huang, Wei-Hong Li, Wei-Shi Zheng; [pdf]
[supplementary material]

[DOI]
ContactPose: A Dataset of Grasps with Object Contact and Hand Pose: Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, James Hays; [pdf]
[supplementary material]

[DOI]
API-Net: Robust Generative Classifier via a Single Discriminator: Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian; [pdf]
[supplementary material]

[DOI]
Bias-based Universal Adversarial Patch Attack for Automatic Check-out: Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu; [pdf]
[supplementary material]

[DOI]
Imbalanced Continual Learning with Partitioning Reservoir Sampling: Chris Dongjoo Kim, Jinseo Jeong, Gunhee Kim; [pdf]
[supplementary material]

[DOI]
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning: Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W.H. Lau; [pdf]
[supplementary material]

[DOI]
Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework: Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang , Shikun Zhang; [pdf]
[supplementary material]

[DOI]
Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight: Ming Sun, Haoxuan Dou, Junjie Yan; [pdf]
[DOI]
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation: Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Yanjun Wu, Pengfei Zhu; [pdf]
[supplementary material]

[DOI]
GSIR: Generalizable 3D Shape Interpretation and Reconstruction: Jianren Wang, Zhaoyuan Fang; [pdf]
[DOI]
Weakly Supervised 3D Object Detection from Lidar Point Cloud: Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool , Dengxin Dai; [pdf]
[supplementary material]

[DOI]
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation: Inkyu Shin, Sanghyun Woo, Fei Pan, In So Kweon; [pdf]
[supplementary material]

[DOI]
Adaptive Offline Quintuplet Loss for Image-Text Matching: Tianlang Chen, Jiajun Deng, Jiebo Luo; [pdf]
[supplementary material]

[DOI]
Learning Object Placement by Inpainting for Compositional Data Augmentation: Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, Jianbo Shi; [pdf]
[supplementary material]

[DOI]
Deep Vectorization of Technical Drawings: Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev; [pdf]
[supplementary material]

[DOI]
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans: Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev , Matthias Niessner, Denis Zorin, Evgeny Burnaev; [pdf]
[supplementary material]

[DOI]
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices: Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang; [pdf]
[DOI]
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points: Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha; [pdf]
[supplementary material]

[DOI]
Multi-Agent Embodied Question Answering in Interactive Environments: Sinan Tan, Weilai Xiang, Huaping Liu, Di Guo, Fuchun Sun; [pdf]
[DOI]
Conditional Sequential Modulation for Efficient Global Image Retouching: Jingwen He, Yihao Liu, Yu Qiao, Chao Dong; [pdf]
[supplementary material]

[DOI]
Segmenting Transparent Objects in the Wild: Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo; [pdf]
[supplementary material]

[DOI]
Length-Controllable Image Captioning: Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu; [pdf]
[supplementary material]

[DOI]
Few-Shot Semantic Segmentation with Democratic Attention Networks: Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen; [pdf]
[supplementary material]

[DOI]
Defocus Blur Detection via Depth Distillation: Xiaodong Cun, Chi-Man Pun; [pdf]
[supplementary material]

[DOI]
Motion Guided 3D Pose Estimation from Videos: Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin; [pdf]
[supplementary material]

[DOI]
Reflection Separation via Multi-bounce Polarization State Tracing: Rui Li, Simeng Qiu, Guangming Zang, Wolfgang Heidrich; [pdf]
[supplementary material]

[DOI]
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation: Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao; [pdf]
[DOI]
SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing: Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li; [pdf]
[supplementary material]

[DOI]
Learning with Noisy Class Labels for Instance Segmentation: Longrong Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Qishang Cheng; [pdf]
[DOI]
Deep Image Clustering with Category-Style Representation: Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng; [pdf]
[supplementary material]

[DOI]
Self-supervised Motion Representation via Scattering Local Motion Cues: Yuan Tian, Zhaohui Che, Wenbo Bao, Guangtao Zhai, Zhiyong Gao; [pdf]
[DOI]
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets: Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma , Huayan Wang, Xiaoyan Guo, Wen Zheng; [pdf]
[supplementary material]

[DOI]
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation: Junheum Park, Keunsoo Ko, Chul Lee, Chang-Su Kim; [pdf]
[supplementary material]

[DOI]
Hard negative examples are hard, but useful: Hong Xuan, Abby Stylianou, Xiaotong Liu, Robert Pless; [pdf]
[supplementary material]

[DOI]
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions: Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng; [pdf]
[DOI]
Video Object Detection via Object-level Temporal Aggregation: Chun-Han Yao, Chen Fang, Xiaohui Shen, Yangyue Wan, Ming-Hsuan Yang; [pdf]
[supplementary material]

[DOI]
Object Detection with a Unified Label Space from Multiple Datasets: Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu; [pdf]
[supplementary material]

[DOI]
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D: Jonah Philion, Sanja Fidler; [pdf]
[supplementary material]

[DOI]
Comprehensive Image Captioning via Scene Graph Decomposition: Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li; [pdf]
[DOI]
Symbiotic Adversarial Learning for Attribute-based Person Search: Yu-Tong Cao, Jingya Wang, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Amplifying Key Cues for Human-Object-Interaction Detection: Yang Liu, Qingchao Chen, Andrew Zisserman; [pdf]
[supplementary material]

[DOI]
Rethinking Few-shot Image Classification: A Good Embedding is All You Need?: Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola; [pdf]
[supplementary material]

[DOI]
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization: Kyle Min, Jason J. Corso; [pdf]
[supplementary material]

[DOI]
Action Localization through Continual Predictive Learning: Sathyanarayanan Aakur, Sudeep Sarkar; [pdf]
[supplementary material]

[DOI]
Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning: Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu; [pdf]
[DOI]
READ: Reciprocal Attention Discriminator for Image-to-Video Re-Identification: Minho Shim, Hsuan-I Ho, Jinhyung Kim, Dongyoon Wee; [pdf]
[supplementary material]

[DOI]
3D Human Shape Reconstruction from a Polarization Image: Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong , Li Cheng; [pdf]
[supplementary material]

[DOI]
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification: Pirazh Khorramshahi, Neehar Peri, Jun-cheng Chen, Rama Chellappa; [pdf]
[DOI]
Improving One-stage Visual Grounding by Recursive Sub-query Construction: Zhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo; [pdf]
[supplementary material]

[DOI]
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video: Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song; [pdf]
[supplementary material]

[DOI]
Example-Guided Image Synthesis using Masked Spatial-Channel Attention and Self-Supervision: Haitian Zheng, Haofu Liao, Lele Chen, Wei Xiong, Tianlang Chen, Jiebo Luo; [pdf]
[supplementary material]

[DOI]
Content-Consistent Matching for Domain Adaptive Semantic Segmentation: Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang; [pdf]
[DOI]
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting: Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, ZhiBo Yang, Tong Lu, Chunhua Shen, Ping Luo; [pdf]
[supplementary material]

[DOI]
History Repeats Itself: Human Motion Prediction via Motion Attention: Wei Mao, Miaomiao Liu, Mathieu Salzmann; [pdf]
[supplementary material]

[DOI]
Unsupervised Video Object Segmentation with Joint Hotspot Tracking: Lu Zhang, Jianming Zhang, Zhe Lin, Radomír Měch, Huchuan Lu, You He; [pdf]
[supplementary material]

[DOI]
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach: Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin; [pdf]
[supplementary material]

[DOI]
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature: Jeong gi Kwak, David K. Han, Hanseok Ko; [pdf]
[supplementary material]

[DOI]
MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection: Xin Lu, Quanquan Li, Buyu Li, Junjie Yan; [pdf]
[DOI]
Latent Topic-aware Multi-Label Classification: Jianghong Ma, Yang Liu; [pdf]
[DOI]
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning: Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq Joty, Jianfei Cai; [pdf]
[DOI]
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation: Taekyung Kim, Changick Kim; [pdf]
[supplementary material]

[DOI]
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation: Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava; [pdf]
[DOI]
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy: Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan; [pdf]
[DOI]
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation: Haoran Wang, Tong Shen, Wei Zhang, Ling-Yu Duan, Tao Mei; [pdf]
[supplementary material]

[DOI]
Boundary-preserving Mask R-CNN: Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu; [pdf]
[DOI]
Self-supervised Single-view 3D Reconstruction via Semantic Consistency: Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz; [pdf]
[supplementary material]

[DOI]
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation: Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh; [pdf]
[supplementary material]

[DOI]
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling: Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker; [pdf]
[supplementary material]

[DOI]
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation: Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng; [pdf]
[supplementary material]

[DOI]
What is Learned in Deep Uncalibrated Photometric Stereo?: Guanying Chen, Michael Waechter, Boxin Shi, Kwan-Yee K. Wong, Yasuyuki Matsushita; [pdf]
[supplementary material]

[DOI]
Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions: Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla, Vishal M. Patel; [pdf]
[supplementary material]

[DOI]
Adversarial Ranking Attack and Defense: Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua; [pdf]
[supplementary material]

[DOI]
ReDro: Efficiently Learning Large-sized SPD Visual Representation: Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou; [pdf]
[supplementary material]

[DOI]
Graph-Based Social Relation Reasoning: Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou; [pdf]
[supplementary material]

[DOI]
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection: Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai; [pdf]
[supplementary material]

[DOI]
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency: Jiaxiang Shang, Tianwei Shen, Shiwei li, Lei Zhou, Mingmin Zhen, Tian Fang, Long Quan; [pdf]
[supplementary material]

[DOI]
Asynchronous Interaction Aggregation for Action Detection: Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, Cewu Lu; [pdf]
[supplementary material]

[DOI]
Shape and Viewpoint without Keypoints: Shubham Goel, Angjoo Kanazawa, Jitendra Malik; [pdf]
[supplementary material]

[DOI]
Learning Attentive and Hierarchical Representations for 3D Shape Recognition: Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao; [pdf]
[DOI]
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search: Yibo Hu, Xiang Wu, Ran He; [pdf]
[supplementary material]

[DOI]
Associative3D: Volumetric Reconstruction from Sparse Views: Shengyi Qian, Linyi Jin, David F. Fouhey; [pdf]
[DOI]
PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution Unit: Yongqiang Mou, Lei Tan, Hui Yang, Jingying Chen, Leyuan Liu, Rui Yan, Yaohong Huang; [pdf]
[supplementary material]

[DOI]
Memory Selection Network for Video Propagation: Ruizheng Wu, Huaijia Lin, Xiaojuan Qi, Jiaya Jia; [pdf]
[supplementary material]

[DOI]
Disentangled Non-local Neural Networks: Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu; [pdf]
[supplementary material]

[DOI]
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark: Seonguk Seo, Joon-Young Lee, Bohyung Han; [pdf]
[supplementary material]

[DOI]
Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup: Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang; [pdf]
[supplementary material]

[DOI]
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks: Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei; [pdf]
[supplementary material]

[DOI]
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training: Hongkai Zhang, Hong Chang, Bingpeng Ma, Naiyan Wang, Xilin Chen; [pdf]
[supplementary material]

[DOI]
Boosting Decision-based Black-box Adversarial Attacks with Random Sign Flip: Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu; [pdf]
[supplementary material]

[DOI]
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation: Anbang Yao, Dawei Sun; [pdf]
[supplementary material]

[DOI]
Matching Guided Distillation: Kaiyu Yue, Jiangfan Deng, Feng Zhou; [pdf]
[supplementary material]

[DOI]
Clustering Driven Deep Autoencoder for Video Anomaly Detection: Yunpeng Chang, Zhigang Tu, Wei Xie, Junsong Yuan; [pdf]
[DOI]
Learning to Compose Hypercolumns for Visual Correspondence: Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho; [pdf]
[supplementary material]

[DOI]
Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction: Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan; [pdf]
[supplementary material]

[DOI]
Object-based Illumination Estimation with Rendering-aware Neural Networks: Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong; [pdf]
[supplementary material]

[DOI]
Progressive Point Cloud Deconvolution Generation Network: Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang; [pdf]
[supplementary material]

[DOI]
SSCGAN: Facial Attribute Editing via Style Skip Connections: Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji; [pdf]
[DOI]
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology: Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa , Ryoma Bise; [pdf]
[DOI]
Learn to Propagate Reliably on Noisy Affinity Graphs: Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin; [pdf]
[supplementary material]

[DOI]
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search: Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li; [pdf]
[supplementary material]

[DOI]
TANet: Towards Fully Automatic Tooth Arrangement: Guodong Wei, Zhiming Cui, Yumeng Liu, Nenglun Chen, Runnan Chen, Guiqing Li, Wenping Wang; [pdf]
[supplementary material]

[DOI]
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection: Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim; [pdf]
[supplementary material]

[DOI]
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision: Lei Ke, Shichao Li, Yanan Sun, Yu-Wing Tai, Chi-Keung Tang; [pdf]
[supplementary material]

[DOI]
Resolution Switchable Networks for Runtime Efficient Image Recognition: Yikai Wang, Fuchun Sun, Duo Li, Anbang Yao; [pdf]
[supplementary material]

[DOI]
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation: Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao , Xiaowei Zhou; [pdf]
[supplementary material]

[DOI]
Learning to Detect Open Classes for Universal Domain Adaptation: Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang; [pdf]
[supplementary material]

[DOI]
Visual Compositional Learning for Human-Object Interaction Detection: Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches: Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo; [pdf]
[supplementary material]

[DOI]
Rethinking Class Activation Mapping for Weakly Supervised Object Localization: Wonho Bae, Junhyug Noh, Gunhee Kim; [pdf]
[supplementary material]

[DOI]
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features: Anton Osokin, Denis Sumin, Vasily Lomakin; [pdf]
[supplementary material]

[DOI]
Interpretable Neural Network Decoupling: Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao; [pdf]
[supplementary material]

[DOI]
Omni-sourced Webly-supervised Learning for Video Recognition: Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin; [pdf]
[supplementary material]

[DOI]
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending: Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li; [pdf]
[supplementary material]

[DOI]
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation: Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang; [pdf]
[supplementary material]

[DOI]
Estimating People Flows to Better Count Them in Crowded Scenes: Weizhe Liu, Mathieu Salzmann, Pascal Fua; [pdf]
[supplementary material]

[DOI]
Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition: Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu; [pdf]
[supplementary material]

[DOI]
Learning Feature Embeddings for Discriminant Model based Tracking: Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu; [pdf]
[supplementary material]

[DOI]
WeightNet: Revisiting the Design Space of Weight Networks: Ningning Ma, Xiangyu Zhang, Jiawei Huang, Jian Sun; [pdf]
[DOI]
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift: Ryuhei Takahashi, Atsushi Hashimoto, Motoharu Sonogashira, Masaaki Iiyama; [pdf]
[supplementary material]

[DOI]
Learning Where to Focus for Efficient Video Object Detection: Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan; [pdf]
[supplementary material]

[DOI]
Learning Object Permanence from Video: Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik; [pdf]
[supplementary material]

[DOI]
Adaptive Text Recognition through Visual Matching: Chuhan Zhang, Ankush Gupta, Andrew Zisserman; [pdf]
[supplementary material]

[DOI]
Actions as Moving Points: Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu; [pdf]
[supplementary material]

[DOI]
Learning to Exploit Multiple Vision Modalities by Using Grafted Networks: Yuhuang Hu, Tobi Delbruck, Shih-Chii Liu; [pdf]
[supplementary material]

[DOI]
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild: Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit; [pdf]
[supplementary material]

[DOI]
3D Fluid Flow Reconstruction Using Compact Light Field PIV: Zhong Li, Yu Ji, Jingyi Yu, Jinwei Ye; [pdf]
[supplementary material]

[DOI]
Contextual Diversity for Active Learning: Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora; [pdf]
[supplementary material]

[DOI]
Temporal Aggregate Representations for Long-Range Video Understanding: Fadime Sener, Dipika Singhania, Angela Yao; [pdf]
[supplementary material]

[DOI]
Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition: Zhe Niu, Brian Mak; [pdf]
[supplementary material]

[DOI]
General 3D Room Layout from a Single View by Render-and-Compare: Sinisa Stekovic, Shreyas Hampali, Mahdi Rad, Sayan Deb Sarkar, Friedrich Fraundorfer, Vincent Lepetit; [pdf]
[supplementary material]

[DOI]
Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints: Vikramjit Sidhu, Edgar Tretschk, Vladislav Golyanik, Antonio Agudo, Christian Theobalt; [pdf]
[supplementary material]

[DOI]
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability: Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry McNamara, Aude Oliva; [pdf]
[supplementary material]

[DOI]
Yet Another Intermediate-Level Attack: Qizhang Li, Yiwen Guo, Hao Chen; [pdf]
[DOI]
Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction: Chao Li, Xiaohu Guo; [pdf]
[supplementary material]

[DOI]
Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images: Qunliang Xing, Mai Xu, Tianyi Li, Zhenyu Guan; [pdf]
[supplementary material]

[DOI]
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations: Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, Christian Theobalt; [pdf]
[supplementary material]

[DOI]
How does Lipschitz Regularization Influence GAN Training?: Yipeng Qin, Niloy Mitra, Peter Wonka; [pdf]
[supplementary material]

[DOI]
Infrastructure-based Multi-Camera Calibration using Radial Projections: Yukai Lin, Viktor Larsson, Marcel Geppert, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler; [pdf]
[supplementary material]

[DOI]
MotionSqueeze: Neural Motion Feature Learning for Video Understanding: Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho; [pdf]
[supplementary material]

[DOI]
Polarized Optical-Flow Gyroscope: Masada Tzabari, Yoav Y. Schechner; [pdf]
[supplementary material]

[DOI]
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation: Da Li, Timothy Hospedales; [pdf]
[supplementary material]

[DOI]
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning: Yaoyao Liu, Bernt Schiele, Qianru Sun; [pdf]
[supplementary material]

[DOI]
On the Effectiveness of Image Rotation for Open Set Domain Adaptation: Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi; [pdf]
[supplementary material]

[DOI]
Combining Task Predictors via Enhancing Joint Predictability: Kwang In Kim, Christian Richardt, Hyung Jin Chang; [pdf]
[supplementary material]

[DOI]
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection: Jiaxi Wu, Songtao Liu, Di Huang, Yunhong Wang; [pdf]
[supplementary material]

[DOI]
Single-Image Depth Prediction Makes Feature Matching Easier: Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow; [pdf]
[supplementary material]

[DOI]
Deep Reinforced Attention Learning for Quality-Aware Visual Recognition: Duo Li, Qifeng Chen; [pdf]
[supplementary material]

[DOI]
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization: Yuxi Li, Weiyao Lin, John See, Ning Xu Shugong Xu, Ke Yan, Cong Yang; [pdf]
[supplementary material]

[DOI]
Learning Joint Spatial-Temporal Transformations for Video Inpainting: Yanhong Zeng, Jianlong Fu, Hongyang Chao; [pdf]
[supplementary material]

[DOI]
Single Path One-Shot Neural Architecture Search with Uniform Sampling: Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun; [pdf]
[supplementary material]

[DOI]
Learning to Generate Novel Domains for Domain Generalization: Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang; [pdf]
[supplementary material]

[DOI]
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections: Theodora Kontogianni, Michael Gygli, Jasper Uijlings, Vittorio Ferrari; [pdf]
[supplementary material]

[DOI]
Impact of base dataset design on few-shot image classification: Othman Sbai, Camille Couprie, Mathieu Aubry; [pdf]
[supplementary material]

[DOI]
Invertible Zero-Shot Recognition Flows: Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao; [pdf]
[supplementary material]

[DOI]
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes: Weidong Zhang, Wei Zhang, Yinda Zhang; [pdf]
[supplementary material]

[DOI]
Location Sensitive Image Retrieval and Tagging: Raul Gomez, Jaume Gibert, Lluis Gomez, Dimosthenis Karatzas; [pdf]
[supplementary material]

[DOI]
Joint 3D Layout and Depth Prediction from a Single Indoor Panorama Image: Wei Zeng, Sezer Karaoglu, Theo Gevers; [pdf]
[supplementary material]

[DOI]
Guessing State Tracking for Visual Dialogue: Wei Pang, Xiaojie Wang; [pdf]
[DOI]
Memory-Efficient Incremental Learning Through Feature Adaptation: Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid; [pdf]
[supplementary material]

[DOI]
Neural Voice Puppetry: Audio-driven Facial Reenactment: Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, Matthias Nießner; [pdf]
[supplementary material]

[DOI]
One-Shot Unsupervised Cross-Domain Detection: Antonio D’Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi; [pdf]
[supplementary material]

[DOI]
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks: Majed El Helou, Ruofan Zhou, Sabine Süsstrunk; [pdf]
[supplementary material]

[DOI]
Probabilistic Future Prediction for Video Scene Understanding: Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall; [pdf]
[supplementary material]

[DOI]
Suppressing Mislabeled Data via Grouping and Self-Attention: Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao; [pdf]
[DOI]
Class-wise Dynamic Graph Convolution for Semantic Segmentation: Hanzhe Hu, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan; [pdf]
[supplementary material]

[DOI]
Character-Preserving Coherent Story Visualization: Yun-Zhu Song, Zhi Rui Tam, Hung-Jen Chen, Huiao-Han Lu, Hong-Han Shuai; [pdf]
[supplementary material]

[DOI]
GINet: Graph Interaction Network for Scene Parsing: Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, MingWu, Zhanyu Ma, Guodong Guo; [pdf]
[supplementary material]

[DOI]
Tensor Low-Rank Reconstruction for Semantic Segmentation: Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen , Bei Yu; [pdf]
[supplementary material]

[DOI]
Attentive Normalization: Xilai Li, Wei Sun, Tianfu Wu; [pdf]
[supplementary material]

[DOI]
Count- and Similarity-aware R-CNN for Pedestrian Detection: Jin Xie, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Mubarak Shah; [pdf]
[supplementary material]

[DOI]
TRADI: Tracking Deep Neural network Weight Distributions: Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch; [pdf]
[supplementary material]

[DOI]
Spatiotemporal Attacks for Embodied Agents: Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation: Qingqiu Huang, Lei Yang, Huaiyi Huang, Tong Wu, Dahua Lin; [pdf]
[DOI]
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild: Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A Efros, Jingwan Lu; [pdf]
[supplementary material]

[DOI]
Design and Interpretation of Universal Adversarial Patches in Face Detection: Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu; [pdf]
[supplementary material]

[DOI]
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild: Yang Xiao, Renaud Marlet; [pdf]
[supplementary material]

[DOI]
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints: Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz; [pdf]
[supplementary material]

[DOI]
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification: Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo; [pdf]
[DOI]
Contextual Heterogeneous Graph Network for Human-Object Interaction Detection: Hai Wang, Wei-shi Zheng, Ling Yingbiao; [pdf]
[supplementary material]

[DOI]
Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning: Xi Cheng, Zhenyong Fu, Jian Yang; [pdf]
[supplementary material]

[DOI]
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration: Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi; [pdf]
[DOI]
Interactive Video Object Segmentation Using Global and Local Transfer Modules: Yuk Heo, Yeong Jun Koh, Chang-Su Kim; [pdf]
[supplementary material]

[DOI]
End-to-end Interpretable Learning of Non-blind Image Deblurring: Thomas Eboli, Jian Sun, Jean Ponce; [pdf]
[supplementary material]

[DOI]
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation: Junsong Fan, Zhaoxiang Zhang, Tieniu Tan; [pdf]
[DOI]
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection: Jing Zhang, Jianwen Xie, Nick Barnes; [pdf]
[supplementary material]

[DOI]
Rethinking Image Deraining via Rain Streaks and Vapors: Yinglong Wang, Yibing Song, Chao Ma, Bing Zeng; [pdf]
[supplementary material]

[DOI]
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes: Marcelo Gennari do Nascimento, Theo W. Costain, Victor Adrian Prisacariu; [pdf]
[DOI]
Is Sharing of Egocentric Video Giving Away Your Biometric Signature?: Daksh Thapar, Chetan Arora, Aditya Nigam; [pdf]
[supplementary material]

[DOI]
Captioning Images Taken by People Who Are Blind: Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya; [pdf]
[supplementary material]

[DOI]
Improving Semantic Segmentation via Decoupled Body and Edge Supervision: Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong; [pdf]
[supplementary material]

[DOI]
Conditional Entropy Coding for Efficient Video Compression: Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
Differentiable Feature Aggregation Search for Knowledge Distillation: Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang; [pdf]
[DOI]
Attention Guided Anomaly Localization in Images: Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis; [pdf]
[supplementary material]

[DOI]
Self-supervised Video Representation Learning by Pace Prediction: Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu; [pdf]
[supplementary material]

[DOI]
Full-Body Awareness from Partial Observations: Chris Rockwell, David F. Fouhey; [pdf]
[supplementary material]

[DOI]
Reinforced Axial Refinement Network for Monocular 3D Object Detection: Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian; [pdf]
[DOI]
Self-Supervised Multi-Task Procedure Learning from Instructional Videos: Ehsan Elhamifar, Dat Huynh; [pdf]
[supplementary material]

[DOI]
CosyPose: Consistent multi-view multi-object 6D pose estimation: Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic; [pdf]
[supplementary material]

[DOI]
In-Domain GAN Inversion for Real Image Editing: Jiapeng Zhu, Yujun Shen, Deli Zhao, Bolei Zhou; [pdf]
[supplementary material]

[DOI]
Key Frame Proposal Network for Efficient Pose Estimation in Videos: Yuexi Zhang, Yin Wang, Octavia Camps, Mario Sznaier; [pdf]
[supplementary material]

[DOI]
Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning: Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu; [pdf]
[supplementary material]

[DOI]
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs: Robin Rombach, Patrick Esser, Björn Ommer; [pdf]
[supplementary material]

[DOI]
Cross-Modal Weighting Network for RGB-D Salient Object Detection: Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling; [pdf]
[DOI]
Open-set Adversarial Defense: Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel; [pdf]
[supplementary material]

[DOI]
Deep Image Compression using Decoder Side Information: Sharon Ayzik, Shai Avidan; [pdf]
[supplementary material]

[DOI]
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation: Jeevan Devaranjan, Amlan Kar, Sanja Fidler; [pdf]
[supplementary material]

[DOI]
A Generic Visualization Approach for Convolutional Neural Networks: Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis; [pdf]
[supplementary material]

[DOI]
Interactive Annotation of 3D Object Geometry using 2D Scribbles: Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler; [pdf]
[supplementary material]

[DOI]
Hierarchical Kinematic Human Mesh Recovery: Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Košecká, Ziyan Wu; [pdf]
[supplementary material]

[DOI]
Multi-Loss Rebalancing Algorithm for Monocular Depth Estimation: Jae-Han Lee, Chang-Su Kim; [pdf]
[supplementary material]

[DOI]
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View: Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros , Bernd G. Pfrommer, Marc F. Schmidt, Kostas Daniilidis; [pdf]
[supplementary material]

[DOI]
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos: Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva; [pdf]
[supplementary material]

[DOI]
Joint Optimization for Multi-Person Shape Models from Markerless 3D-Scans: Samuel Zeitvogel, Johannes Dornheim, Astrid Laubenheimer; [pdf]
[supplementary material]

[DOI]
Accurate RGB-D Salient Object Detection via Collaborative Learning: Wei Ji, Jingjing Li, Miao Zhang, Yongri Piao, Huchuan Lu; [pdf]
[DOI]
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss: David Griffiths, Jan Boehm, Tobias Ritschel; [pdf]
[supplementary material]

[DOI]
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection: Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin; [pdf]
[DOI]
Two Stream Active Query Suggestion for Active Learning in Connectomics: Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel Berger, Brian Matejek, Lee Kamentsky, Adi Peleg, Daniel Haehn, Thouis Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister; [pdf]
[supplementary material]

[DOI]
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images: Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas J. Guibas; [pdf]
[supplementary material]

[DOI]
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference: Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab; [pdf]
[supplementary material]

[DOI]
Modeling Artistic Workflows for Image Generation and Editing: Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir Kim, Ming-Hsuan Yang; [pdf]
[supplementary material]

[DOI]
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks: Sangpil Kim, Hyung-gun Chi, Xiao Hu, Qixing Huang, Karthik Ramani; [pdf]
[supplementary material]

[DOI]
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails: Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely; [pdf]
[supplementary material]

[DOI]
Self-Supervised Learning of Audio-Visual Objects from Video: Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman; [pdf]
[supplementary material]

[DOI]
GAN-based Garment Generation Using Sewing Pattern Images: Yu Shen, Junbang Liang, Ming C. Lin; [pdf]
[supplementary material]

[DOI]
Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach: Chaitanya Ahuja, Dong Won Lee, Yukiko I. Nakano, Louis-Philippe Morency; [pdf]
[supplementary material]

[DOI]
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds: Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, Alireza Fathi; [pdf]
[supplementary material]

[DOI]
Monotonicity Prior for Cloud Tomography: Tamar Loeub, Aviad Levis, Vadim Holodovsky, Yoav Y. Schechner; [pdf]
[supplementary material]

[DOI]
Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention: Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas; [pdf]
[supplementary material]

[DOI]
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval: Christopher Thomas, Adriana Kovashka; [pdf]
[DOI]
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline: Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das; [pdf]
[supplementary material]

[DOI]
Learning to Generate Grounded Visual Captions without Localization Supervision: Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira; [pdf]
[supplementary material]

[DOI]
Neural Hair Rendering: Menglei Chai, Jian Ren, Sergey Tulyakov; [pdf]
[supplementary material]

[DOI]
JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling: Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang; [pdf]
[supplementary material]

[DOI]
On Disentangling Spoof Trace for Generic Face Anti-Spoofing: Yaojie Liu, Joel Stehouwer, Xiaoming Liu; [pdf]
[supplementary material]

[DOI]
Streaming Object Detection for 3-D Point Clouds: Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen; [pdf]
[supplementary material]

[DOI]
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search: Yun-Chun Chen, Chen Gao, Esther Robb, Jia-Bin Huang; [pdf]
[supplementary material]

[DOI]
Learning to Learn in a Semi-Supervised Fashion: Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang; [pdf]
[supplementary material]

[DOI]
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning: Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira; [pdf]
[supplementary material]

[DOI]
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects: Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation: Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh; [pdf]
[supplementary material]

[DOI]
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes: Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke; [pdf]
[DOI]
Towards causal benchmarking of bias in face analysis algorithms: Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona; [pdf]
[supplementary material]

[DOI]
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation: Tong He, Dong Gong, Zhi Tian, Chunhua Shen; [pdf]
[supplementary material]

[DOI]
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions: Noa Garcia, Yuta Nakashima; [pdf]
[supplementary material]

[DOI]
Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation: Aamir Mustafa, Rafal K. Mantiuk; [pdf]
[supplementary material]

[DOI]
LIRA: Lifelong Image Restoration from Unknown Blended Distortions: Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen; [pdf]
[supplementary material]

[DOI]
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization: Jiahao Lin, Gim Hee Lee; [pdf]
[DOI]
SOLO: Segmenting Objects by Locations: Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li; [pdf]
[supplementary material]

[DOI]
Learning to See in the Dark with Events: Song Zhang, Yu Zhang, Zhe Jiang, Dongqing Zou, Jimmy Ren, Bin Zhou; [pdf]
[supplementary material]

[DOI]
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data: Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone; [pdf]
[supplementary material]

[DOI]
Context-Gated Convolution: Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang; [pdf]
[supplementary material]

[DOI]
Polynomial Regression Network for Variable-Number Lane Detection: Bingke Wang, Zilei Wang, Yixin Zhang; [pdf]
[supplementary material]

[DOI]
Structural Deep Metric Learning for Room Layout Estimation: Wenzhao Zheng, Jiwen Lu, Jie Zhou; [pdf]
[DOI]
Adaptive Task Sampling for Meta-Learning: Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang Kun Zhang, Steven C.H. Hoi; [pdf]
[supplementary material]

[DOI]
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images: Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li; [pdf]
[DOI]
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems: Kailai Zhou, Linsen Chen, Xun Cao; [pdf]
[supplementary material]

[DOI]
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling: Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu; [pdf]
[supplementary material]

[DOI]
Online Ensemble Model Compression using Knowledge Distillation: Devesh Walawalkar, Zhiqiang Shen, Marios Savvides; [pdf]
[DOI]
Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System: Kang Il Lee, Jung Ho Jeon, Byung Cheol Song; [pdf]
[supplementary material]

[DOI]
Efficient Residue Number System Based Winograd Convolution: Zhi-Gang Liu, Matthew Mattina; [pdf]
[supplementary material]

[DOI]
Robust Tracking against Adversarial Attacks: Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang; [pdf]
[supplementary material]

[DOI]
Single-Shot Neural Relighting and SVBRDF Estimation: Shen Sang, Manmohan Chandraker; [pdf]
[supplementary material]

[DOI]
Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement: Qiang Nie , Ziwei Liu , Yunhui Liu; [pdf]
[supplementary material]

[DOI]
Angle-based Search Space Shrinking for Neural Architecture Search: Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun; [pdf]
[supplementary material]

[DOI]
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition: Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang; [pdf]
[supplementary material]

[DOI]
Towards Fast, Accurate and Stable 3D Dense Face Alignment: Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li; [pdf]
[supplementary material]

[DOI]
Iterative Feature Transformation for Fast and Versatile Universal Style Transfer: Tai-Yin Chiu, Danna Gurari; [pdf]
[supplementary material]

[DOI]
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search: Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li; [pdf]
[supplementary material]

[DOI]
Toward Faster and Simpler Matrix Normalization via Rank-1 Update: Tan Yu, Yunfeng Cai, Ping Li; [pdf]
[supplementary material]

[DOI]
Accurate Polarimetric BRDF for Real Polarization Scene Rendering: Yuhi Kondo, Taishi Ono, Legong Sun, Yasutaka Hirasawa, Jun Murayama; [pdf]
[supplementary material]

[DOI]
Lensless Imaging with Focusing Sparse URA Masks in Long-Wave Infrared and its Application for Human Detection: Ilya Reshetouski, Hideki Oyaizu, Kenichiro Nakamura, Ryuta Satoh, Suguru Ushiki, Ryuichi Tadano, Atsushi Ito, Jun Murayama; [pdf]
[supplementary material]

[DOI]
Topology-Preserving Class-Incremental Learning: Xiaoyu Tao, Xinyuan Chang, Xiaopeng Hong, Xing Wei, Yihong Gong; [pdf]
[DOI]
Inter-Image Communication for Weakly Supervised Localization: Xiaolin Zhang, Yunchao Wei, Yi Yang; [pdf]
[DOI]
UFO²: A Unified Framework towards Omni-supervised Object Detection: Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz; [pdf]
[supplementary material]

[DOI]
iCaps: An Interpretable Classifier via Disentangled Capsule Networks: Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon; [pdf]
[supplementary material]

[DOI]
Detecting Natural Disasters, Damage, and Incidents in the Wild: Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba; [pdf]
[supplementary material]

[DOI]
Dynamic ReLU: Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu; [pdf]
[supplementary material]

[DOI]
Acquiring Dynamic Light Fields through Coded Aperture Camera: Kohei Sakai, Keita Takahashi, Toshiaki Fujii, Hajime Nagahara; [pdf]
[supplementary material]

[DOI]
Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network: Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu; [pdf]
[supplementary material]

[DOI]
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation: Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun; [pdf]
[supplementary material]

[DOI]
Spherical Feature Transform for Deep Metric Learning: Yuke Zhu, Yan Bai, Yichen Wei; [pdf]
[supplementary material]

[DOI]
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering: Ruixue Tang, Chao Ma, Wei Emma Zhang, Qi Wu, Xiaokang Yang; [pdf]
[supplementary material]

[DOI]
Unsupervised Multi-View CNN for Salient View Selection of 3D Objects and Scenes: Ran Song, Wei Zhang, Yitian Zhao, Yonghuai Liu; [pdf]
[supplementary material]

[DOI]
Representation Sharing for Fast Object Detector Search and Beyond: Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang; [pdf]
[supplementary material]

[DOI]
Peeking into occluded joints: A novel framework for crowd pose estimation: Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui; [pdf]
[supplementary material]

[DOI]
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition: Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei; [pdf]
[supplementary material]

[DOI]
Deep Hashing with Active Pairwise Supervision: Ziwei Wang, Quan Zheng, Jiwen Lu, Jie Zhou; [pdf]
[supplementary material]

[DOI]
Graph Edit Distance Reward: Learning to Edit Scene Graph: Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu; [pdf]
[DOI]
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing: Yajie Xing, Jingbo Wang, Gang Zeng; [pdf]
[supplementary material]

[DOI]
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion: Chang Shu, Kun Yu, Zhixiang Duan, Kuiyuan Yang; [pdf]
[DOI]
Propagating Over Phrase Relations for One-Stage Visual Grounding: Sibei Yang, Guanbin Li, Yizhou Yu; [pdf]
[DOI]
Adversarial Semantic Data Augmentation for Human Pose Estimation: Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang; [pdf]
[DOI]
Free View Synthesis: Gernot Riegler, Vladlen Koltun; [pdf]
[supplementary material]

[DOI]
Face Anti-Spoofing via Disentangled Representation Learning: Ke-Yue Zhang, Taiping Yao, Jian Zhang, Ying Tai, Shouhong Ding, Jilin Li, Feiyue Huang, Haichuan Song, Lizhuang Ma; [pdf]
[supplementary material]

[DOI]
Prime-Aware Adaptive Distillation: Youcai Zhang, Zhonghao Lan, Yuchen Dai, Fangao Zeng, Yan Bai, Jie Chang, Yichen Wei; [pdf]
[DOI]
Meta-Learning with Network Pruning: Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu; [pdf]
[supplementary material]

[DOI]
Spiral Generative Network for Image Extrapolation: Dongsheng Guo, Hongzhi Liu, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, Haiyong Zheng, Bing Zheng; [pdf]
[supplementary material]

[DOI]
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches: Fang Liu, Changqing Zou, Xiaoming Deng, Ran Zuo, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang; [pdf]
[supplementary material]

[DOI]
Few-shot Compositional Font Generation with Dual Memory: Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee; [pdf]
[supplementary material]

[DOI]
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling: Yue Qian, Junhui Hou, Sam Kwong, Ying He; [pdf]
[supplementary material]

[DOI]
Handcrafted Outlier Detection Revisited: Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, Marc Pollefeys; [pdf]
[supplementary material]

[DOI]
The Average Mixing Kernel Signature: Luca Cosmo, Giorgia Minello, Michael Bronstein, Luca Rossi, Andrea Torsello; [pdf]
[supplementary material]

[DOI]
BCNet: Learning Body and Cloth Shape from A Single Image: Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, Hujun Bao; [pdf]
[supplementary material]

[DOI]
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos: Umer Rafi, Andreas Doering, Bastian Leibe, Juergen Gall; [pdf]
[supplementary material]

[DOI]
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration: Jingwen He, Chao Dong, Yu Qiao; [pdf]
[supplementary material]

[DOI]
Polysemy Deciphering Network for Human-Object Interaction Detection: Xubin Zhong, Changxing Ding, Xian Qu, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning: Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle; [pdf]
[supplementary material]

[DOI]
Learning Graph-Convolutional Representations for Point Cloud Denoising: Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli; [pdf]
[DOI]
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching: Dongkwon Jin, Jun-Tae Lee, Chang-Su Kim; [pdf]
[supplementary material]

[DOI]
A Differentiable Recurrent Surface for Asynchronous Event-Based Data: Marco Cannici, Marco Ciccone, Andrea Romanoni , Matteo Matteucci; [pdf]
[supplementary material]

[DOI]
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches: Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Zhanyu Ma , Yi-Zhe Song, Jun Guo; [pdf]
[supplementary material]

[DOI]
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation: Tak-Wai Hui, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters: Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis; [pdf]
[supplementary material]

[DOI]
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language: Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner; [pdf]
[supplementary material]

[DOI]
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds: Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-lan Tai; [pdf]
[supplementary material]

[DOI]
Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior: Hu Zhang, Linchao Zhu, Yi Zhu, Yi Yang; [pdf]
[supplementary material]

[DOI]
An Inference Algorithm for Multi-Label MRF-MAP Problems with Clique Size 100: Ishant Shanu, Siddhant Bharti, Chetan Arora, S. N. Maheshwari; [pdf]
[supplementary material]

[DOI]
Dual Refinement Underwater Object Detection Network: Baojie Fan, Wei Chen, Yang Cong, Jiandong Tian; [pdf]
[DOI]
Multiple Sound Sources Localization from Coarse to Fine: Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin; [pdf]
[supplementary material]

[DOI]
Task-Aware Quantization Network for JPEG Image Compression: Jinyoung Choi, Bohyung Han; [pdf]
[supplementary material]

[DOI]
Energy-Based Models for Deep Probabilistic Regression: Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön; [pdf]
[supplementary material]

[DOI]
CLOTH3D: Clothed 3D Humans: Hugo Bertiche, Meysam Madadi, Sergio Escalera; [pdf]
[supplementary material]

[DOI]
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images: Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao; [pdf]
[supplementary material]

[DOI]
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers: Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli; [pdf]
[DOI]
Occlusion-Aware Siamese Network for Human Pose Estimation: Lu Zhou, Yingying Chen, Yunze Gao, Jinqiao Wang, Hanqing Lu; [pdf]
[DOI]
Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model: Yufan Liu, Minglang Qiao, Mai Xu, Bing Li, Weiming Hu, Ali Borji; [pdf]
[supplementary material]

[DOI]
NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image: Lizhen Wang, Xiaochen Zhao, Tao Yu, Songtao Wang, Yebin Liu; [pdf]
[supplementary material]

[DOI]
Model-based occlusion disentanglement for image-to-image translation: Fabio Pizzati, Pietro Cerri, Raoul de Charette; [pdf]
[supplementary material]

[DOI]
Rotation-robust Intersection over Union for 3D Object Detection: Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou; [pdf]
[supplementary material]

[DOI]
New Threats against Object Detector with Non-local Block: Yi Huang, Fan Wang, Adams Wai-Kin Kong, Kwok-Yan Lam; [pdf]
[supplementary material]

[DOI]
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation: Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng; [pdf]
[supplementary material]

[DOI]
On the Usage of the Trifocal Tensor in Motion Segmentation: Federica Arrigoni, Luca Magri, Tomas Pajdla; [pdf]
[supplementary material]

[DOI]
3D-Rotation-Equivariant Quaternion Neural Networks: Wen Shen, Binbin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang; [pdf]
[supplementary material]

[DOI]
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image: Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee; [pdf]
[supplementary material]

[DOI]
Active Crowd Counting with Limited Supervision: Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li; [pdf]
[supplementary material]

[DOI]
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance: Marvin Klingner, Jan-Aike Termhlen, Jonas Mikolajczyk, Tim Fingscheidt; [pdf]
[supplementary material]

[DOI]
Hierarchical Visual-Textual Graph for Temporal Activity Localization via Language: Shaoxiang Chen, Yu-Gang Jiang; [pdf]
[supplementary material]

[DOI]
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On: Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes; [pdf]
[supplementary material]

[DOI]
NODIS: Neural Ordinary Differential Scene Understanding: Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn; [pdf]
[supplementary material]

[DOI]
AssembleNet++: Assembling Modality Representations via Attention Connections - Supplementary Material -: Michael S. Ryoo, AJ Piergiovanni, Juhana Kangaspunta, Anelia Angelova; [pdf]
[supplementary material]

[DOI]
Learning Propagation Rules for Attribution Map Generation: Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang; [pdf]
[supplementary material]

[DOI]
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference: Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis , Anton Obukhov, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Learning Predictive Models from Observation and Interaction: Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn; [pdf]
[supplementary material]

[DOI]
Unifying Deep Local and Global Features for Image Search: Bingyi Cao, André Araujo, Jack Sim; [pdf]
[supplementary material]

[DOI]
Human Body Model Fitting by Learned Gradient Descent: Jie Song, Xu Chen, Otmar Hilliges; [pdf]
[supplementary material]

[DOI]
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition: Matthew Korban, Xin Li; [pdf]
[supplementary material]

[DOI]
Learning latent representations across multiple data domains using Lifelong VAEGAN: Fei Ye, Adrian G. Bors; [pdf]
[supplementary material]

[DOI]
DVI: Depth Guided Video Inpainting for Autonomous Driving: Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang; [pdf]
[supplementary material]

[DOI]
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation: Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang; [pdf]
[supplementary material]

[DOI]
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection: A. Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville, Elizabeth Merkhofer, Laura Strickhart, Matthew Walmer; [pdf]
[supplementary material]

[DOI]
Visual Question Answering on Image Sets: Ankan Bansal, Yuting Zhang, Rama Chellappa; [pdf]
[supplementary material]

[DOI]
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots: Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan Yuille; [pdf]
[supplementary material]

[DOI]
Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations: Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin; [pdf]
[supplementary material]

[DOI]
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points: Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich; [pdf]
[supplementary material]

[DOI]
Dynamic Low-light Imaging with Quanta Image Sensors: Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan; [pdf]
[supplementary material]

[DOI]
Disambiguating Monocular Depth Estimation with a Single Transient: Mark Nishimura, David B. Lindell, Christopher Metzler, Gordon Wetzstein; [pdf]
[supplementary material]

[DOI]
DSDNet: Deep Structured self-Driving Network: Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
QuEST: Quantized Embedding Space for Transferring Knowledge: Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord; [pdf]
[supplementary material]

[DOI]
EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis: Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li; [pdf]
[DOI]
Backpropagated Gradient Representations for Anomaly Detection: Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib; [pdf]
[supplementary material]

[DOI]
Dense RepPoints: Representing Visual Objects with Dense Point Sets: Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang Raquel Urtasun, Liwei Wang , Stephen Lin, Han Hu; [pdf]
[supplementary material]

[DOI]
On Dropping Clusters to Regularize Graph Convolutional Neural Networks: Xikun Zhang, Chang Xu, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Adaptive Video Highlight Detection by Learning from User History: Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang; [pdf]
[DOI]
Improving 3D Object Detection through Progressive Population Based Augmentation: Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov; [pdf]
[supplementary material]

[DOI]
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction: Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao Zhang; [pdf]
[supplementary material]

[DOI]
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization: Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia; [pdf]
[supplementary material]

[DOI]
Adversarial Learning for Zero-shot Domain Adaptation: Jinghua Wang, Jianmin Jiang; [pdf]
[DOI]
YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models -: Yukihiro Sasagawa, Hajime Nagahara; [pdf]
[DOI]
Identity-Aware Multi-Sentence Video Description: Jae Sung Park, Trevor Darrell, Anna Rohrbach; [pdf]
[supplementary material]

[DOI]
VQA-LOL: Visual Question Answering under the Lens of Logic: Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang; [pdf]
[supplementary material]

[DOI]
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation: Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori; [pdf]
[DOI]
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering: Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu; [pdf]
[DOI]
Mining Inter-Video Proposal Relations for Video Object Detection: Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao; [pdf]
[supplementary material]

[DOI]
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval: Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal; [pdf]
[supplementary material]

[DOI]
Minimum Class Confusion for Versatile Domain Adaptation: Ying Jin, Ximei Wang, Mingsheng Long(), Jianmin Wang; [pdf]
[supplementary material]

[DOI]
Large Batch Optimization for Object Detection: Training COCO in 12 Minutes: Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Yaowei Wang, Jinqiao Wang, Ming Tang; [pdf]
[DOI]
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN: K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath , R. Venkatesh Babu; [pdf]
[supplementary material]

[DOI]
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection: Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon; [pdf]
[supplementary material]

[DOI]
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation: Meng Tian, Marcelo H Ang Jr, Gim Hee Lee; [pdf]
[supplementary material]

[DOI]
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction: Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo; [pdf]
[supplementary material]

[DOI]
Image-based table recognition: data, model, and evaluation: Xu Zhong, Elaheh ShafieiBavani, Antonio Jimeno Yepes; [pdf]
[supplementary material]

[DOI]
Group Activity Prediction with Sequential Relational Anticipation Model: Junwen Chen, Wentao Bao,, Yu Kong; [pdf]
[DOI]
PiP: Planning-informed Trajectory Prediction for Autonomous Driving: Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen; [pdf]
[supplementary material]

[DOI]
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer: Duo Li, Anbang Yao, Qifeng Chen; [pdf]
[supplementary material]

[DOI]
Hierarchical Context Embedding for Region-based Object Detection: Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo; [pdf]
[supplementary material]

[DOI]
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition: Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao; [pdf]
[supplementary material]

[DOI]
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection: Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe; [pdf]
[supplementary material]

[DOI]
Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction: Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao, Xin Li; [pdf]
[supplementary material]

[DOI]
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation: Kaisiyuan Wang Qianyi Wu Linsen Song Zhuoqian Yang Wayne Wu Chen Qian Ran He Yu Qiao Chen Change Loy; [pdf]
[supplementary material]

[DOI]
Detecting Human-Object Interactions with Action Co-occurrence Priors: Dong-Jin Kim Xiao Sun Jinsoo Choi Stephen Lin In So Kweon; [pdf]
[supplementary material]

[DOI]
Learning Connectivity of Neural Networks from a Topological Perspective: Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan; [pdf]
[DOI]
JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal: Wei-Ting Chen, Hao-Yu Fang, Jian-Jiun Ding, Cheng-Che Tsai, Sy-Yen Kuo; [pdf]
[supplementary material]

[DOI]
Ocean: Object-aware Anchor-free Tracking: Zhipeng Zhang, Houwen Peng, Jianlong Fu Bing Li, Weiming Hu; [pdf]
[supplementary material]

[DOI]
Object Tracking using Spatio-Temporal Networks for Future Prediction Location: Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, Xiubao Sui; [pdf]
[DOI]
Pillar-based Object Detection for Autonomous Driving: Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Tom Funkhouser, Justin Solomon; [pdf]
[supplementary material]

[DOI]
Sparse Adversarial Attack via Perturbation Factorization: Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang; [pdf]
[supplementary material]

[DOI]
3D Scene Reconstruction from a Single Viewport: Maximilian Denninger, Rudolph Triebel; [pdf]
[supplementary material]

[DOI]
Learning to Optimize Domain Specific Normalization for Domain Generalization: Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han; [pdf]
[supplementary material]

[DOI]
Self-supervised Outdoor Scene Relighting: Ye Yu, Abhimitra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, William A. P. Smith; [pdf]
[supplementary material]

[DOI]
Privacy Preserving Visual SLAM: Mikiya Shibuya, Shinya Sumikura, Ken Sakurada; [pdf]
[supplementary material]

[DOI]
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation Learning: Valentina Sanguineti, Pietro Morerio, Niccolò Pozzetti, Danilo Greco, Marco Cristani, Vittorio Murino; [pdf]
[supplementary material]

[DOI]
Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval: Yanbei Chen, Loris Bazzani; [pdf]
[DOI]
Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World: Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu , Yun-Hui Liu; [pdf]
[supplementary material]

[DOI]
StyleGAN2 Distillation for Feed-forward Image Manipulation: Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin; [pdf]
[supplementary material]

[DOI]
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds: Jinxian Liu, Minghui Yu, Bingbing Ni⁴, Ye Chen; [pdf]
[DOI]
Learning Disentangled Representations via Mutual Information Estimation: Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner; [pdf]
[supplementary material]

[DOI]
Challenge-Aware RGBT Tracking: Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang; [pdf]
[DOI]
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration: Bruno Lecouat, Jean Ponce, Julien Mairal; [pdf]
[supplementary material]

[DOI]
AutoSimulate: (Quickly) Learning Synthetic Data Generation: Harkirat Singh Behl, Atilim Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet; [pdf]
[supplementary material]

[DOI]
LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block: Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu; [pdf]
[DOI]
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation: M.Naseer Subhani, Mohsen Ali; [pdf]
[supplementary material]

[DOI]
Active Visual Information Gathering for Vision-Language Navigation: Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen; [pdf]
[supplementary material]

[DOI]
Deep Hough-Transform Line Priors: Yancong Lin, Silvia L. Pintea, Jan C. van Gemert; [pdf]
[supplementary material]

[DOI]
Unsupervised Shape and Pose Disentanglement for 3D Meshes: Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll; [pdf]
[supplementary material]

[DOI]
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection: Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee; [pdf]
[supplementary material]

[DOI]
Inclusive GAN: Improving Data and Minority Coverage in Generative Models: Ning Yu, Ke Li, Peng Zhou Jitendra Malik, Larry Davis, Mario Fritz; [pdf]
[supplementary material]

[DOI]
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects: Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte; [pdf]
[supplementary material]

[DOI]
Dive Deeper Into Box for Object Detection: Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai; [pdf]
[supplementary material]

[DOI]
PG-Net: Pixel to Global Matching Network for Visual Tracking: Bingyan Liao, Chenye Wang, Yayun Wang, Yaonong Wang, Jun Yin; [pdf]
[supplementary material]

[DOI]
Why Are Deep Representations Good Perceptual Quality Features?: Taimoor Tariq, Okan Tarhan Tursun, Munchurl Kim, Piotr Didyk; [pdf]
[supplementary material]

[DOI]
Geometric Estimation via Robust Subspace Recovery: Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma; [pdf]
[DOI]
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification: Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao; [pdf]
[supplementary material]

[DOI]
Human Correspondence Consensus for 3D Object Semantic Understanding: Yujing Lou, Yang You, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu; [pdf]
[supplementary material]

[DOI]
Learning Memory Augmented Cascading Network for Compressed Sensing of Images: Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang; [pdf]
[DOI]
Least squares surface reconstruction on arbitrary domains: Dizhong Zhu, William A. P. Smith; [pdf]
[supplementary material]

[DOI]
Task-conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery: My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto del Bimbo; [pdf]
[DOI]
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting: Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li; [pdf]
[supplementary material]

[DOI]
DADA: Differentiable Automatic Data Augmentation: Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang; [pdf]
[DOI]
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans: Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner; [pdf]
[supplementary material]

[DOI]
Kinship Identification through Joint Learning using Kinship Verification Ensembles: Wei Wang, Shaodi You, Theo Gevers; [pdf]
[supplementary material]

[DOI]
Kernelized Memory Network for Video Object Segmentation: Hongje Seong, Junhyuk Hyun, Euntai Kim; [pdf]
[supplementary material]

[DOI]
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection: Xiaoqi Zhao, Lihe Zhang¹, Youwei Pang, Huchuan Lu, Lei Zhang; [pdf]
[DOI]
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation: Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex Kot; [pdf]
[DOI]
Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking: Chunluan Zhou Zhou Ren Gang Hua; [pdf]
[supplementary material]

[DOI]
Neural Point-Based Graphics: Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky; [pdf]
[supplementary material]

[DOI]
FHDe²Net: Full High Definition Demoireing Network: Bin He, Ce Wang, Boxin Shi, Ling-Yu Duan; [pdf]
[supplementary material]

[DOI]
Learning Structural Similarity of User Interface Layouts using Graph Networks: Dipu Manandhar, Dan Ruta, John Collomosse; [pdf]
[supplementary material]

[DOI]
NAS-Count: Counting-by-Density with Neural Architecture Search: Yutao Hu ¹, Xiaolong Jiang ², Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao ², David Doermann; [pdf]
[supplementary material]

[DOI]
Towards Generalization Across Depth for Monocular 3D Object Detection: Andrea Simonelli, Samuel Rota Buló, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder; [pdf]
[supplementary material]

[DOI]
Margin-Mix: Semi–Supervised Learning for Face Expression Recognition: Corneliu Florea, Mihai Badea, Laura Florea, Andrei Racoviteanu, Constantin Vertan; [pdf]
[supplementary material]

[DOI]
Principal Feature Visualisation in Convolutional Neural Networks: Marianne Bakken, Johannes Kvam, Alexey A. Stepanov, Asbjørn Berge; [pdf]
[supplementary material]

[DOI]
Progressive Refinement Network for Occluded Pedestrian Detection: Xiaolin Song Kaili Zhao Wen-Sheng Chu Honggang Zhang Jun Guo; [pdf]
[supplementary material]

[DOI]
Monocular Real-Time Volumetric Performance Capture: Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olsewski, Hao Li; [pdf]
[supplementary material]

[DOI]
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale: Christian Ertler, Jerneja Mislej, Tobias Ollmann, Lorenzo Porzi, Gerhard Neuhold, Yubin Kuang; [pdf]
[supplementary material]

[DOI]
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction: Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, MingXiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren⁸, Weiting Huang⁸, Haifeng Sun⁸, Marek Hrúz⁹, Jakub Kanis⁹, Zdeněk Krňoul⁹, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim; [pdf]
[supplementary material]

[DOI]
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders: Sarthak Bhagat, Shagun Uppal, Zhuyun Yin, Nengli Lim; [pdf]
[supplementary material]

[DOI]
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks: Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen; [pdf]
[supplementary material]

[DOI]
Kinematic 3D Object Detection in Monocular Video: Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele; [pdf]
[supplementary material]

[DOI]
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents: Ye Zhu, Yu Wu, Yi Yang, Yan Yan; [pdf]
[supplementary material]

[DOI]
SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding: Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, Yong Man Ro; [pdf]
[supplementary material]

[DOI]
End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention: Ziyi Meng, Jiawei Ma, Xin Yuan; [pdf]
[supplementary material]

[DOI]
Know Your Surroundings: Exploiting Scene Information for Object Tracking: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte; [pdf]
[supplementary material]

[DOI]
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases: Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang; [pdf]
[supplementary material]

[DOI]
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images: Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao; [pdf]
[DOI]
DeepLandscape: Adversarial Modeling of Landscape Videos: Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky; [pdf]
[supplementary material]

[DOI]
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images: Lei Kang, Pau Riba, Yaxing Wang, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas; [pdf]
[supplementary material]

[DOI]
Spatial-Angular Interaction for Light Field Image Super-Resolution: Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo; [pdf]
[supplementary material]

[DOI]
BATS: Binary ArchitecTure Search: Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos; [pdf]
[supplementary material]

[DOI]
A Closer Look at Local Aggregation Operators in Point Cloud Analysis: Ze Liu(†), Han Hu, Yue Cao, Zheng Zhang, Xin Tong; [pdf]
[supplementary material]

[DOI]
Look here! A parametric learning based approach to redirect visual attention: Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii; [pdf]
[supplementary material]

[DOI]
Variational Diffusion Autoencoders with Random Walk Sampling: Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger; [pdf]
[supplementary material]

[DOI]
Adaptive Variance Based Label Distribution Learning For Facial Age Estimation: Xin Wen, Biying Li, Haiyun Guo, Zhiwei Liu, Guosheng Hu, Ming Tang, Jinqiao Wang; [pdf]
[DOI]
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency: Shasha Li, Shitong Zhu, Sudipta Paul, Amit Roy-Chowdhury, Chengyu Song, Srikanth Krishnamurthy, Ananthram Swami, Kevin S Chan; [pdf]
[supplementary material]

[DOI]
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations: Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
VarSR: Variational Super-Resolution Network for Very Low Resolution Images: Sangeek Hyun, Jae-Pil Heo; [pdf]
[supplementary material]

[DOI]
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation: Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHung Liao, Adam P. Harrison; [pdf]
[supplementary material]

[DOI]
Towards Recognizing Unseen Categories in Unseen Domains: Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo; [pdf]
[supplementary material]

[DOI]
Square Attack: a query-efficient black-box adversarial attack via random search: Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein; [pdf]
[supplementary material]

[DOI]
You Are Here: Geolocation by Embedding Maps and Images: Noe Samano, Mengjie Zhou, Andrew Calway; [pdf]
[supplementary material]

[DOI]
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation: Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz; [pdf]
[supplementary material]

[DOI]
From Image to Stability: Learning Dynamics from Human Pose: Jesse Scott, Bharadwaj Ravichandran, Christopher Funk, Robert T. Collins, Yanxi Liu; [pdf]
[supplementary material]

[DOI]
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation: Namdar Homayounfar Yuwen Xiong Justin Liang Wei-Chiu Ma Raquel Urtasun {namdar,yuwen,justin.liang,weichiu,urtasun}@uber.com; [pdf]
[supplementary material]

[DOI]
Efficient Scale-Permuted Backbone with Learned Resource Distribution: Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui Mingxing Tan, Quoc Le, Xiaodan Song; [pdf]
[supplementary material]

[DOI]
Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning: Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil M. Robertson; [pdf]
[supplementary material]

[DOI]
Bridging Knowledge Graphs to Generate Scene Graphs: Alireza Zareian, Svebor Karaman, Shih-Fu Chang; [pdf]
[supplementary material]

[DOI]
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting: Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
Learning Visual Commonsense for Robust Scene Graph Generation: Alireza Zareian, Zhecan Wang, Haoxuan You, Shih-Fu Chang; [pdf]
[supplementary material]

[DOI]
MPCC: Matching Priors and Conditionals for Clustering: Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo Estévez; [pdf]
[supplementary material]

[DOI]
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality: Yiqin Zhao, Tian Guo; [pdf]
[DOI]
Discrete Point Flow Networks for Efficient Point Cloud Generation: Roman Klokov, Edmond Boyer, Jakob Verbeek; [pdf]
[supplementary material]

[DOI]
Accelerating Deep Learning with Millions of Classes: Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang; [pdf]
[supplementary material]

[DOI]
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers: Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee; [pdf]
[supplementary material]

[DOI]
Inertial Safety from Structured Light: Sizhuo Ma, Mohit Gupta; [pdf]
[supplementary material]

[DOI]
PointTriNet: Learned Triangulation of 3D Point Sets: Nicholas Sharp, Maks Ovsjanikov; [pdf]
[supplementary material]

[DOI]
Toward Unsupervised, Multi-Object Discovery in Large-Scale Image Collections: Huy V. Vo, Patrick Pérez, Jean Ponce; [pdf]
[supplementary material]

[DOI]
Deep Novel View Synthesis from Colored 3D Point Clouds: Zhenbo Song, Wayne Chen, Dylan Campbell, Hongdong Li; [pdf]
[supplementary material]

[DOI]
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching: Haoran Wang, Ying Zhang, Zhong Ji, Yanwei Pang, Lin Ma; [pdf]
[DOI]
Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising: Guanting Dong, Yueyi Zhang, Zhiwei Xiong; [pdf]
[supplementary material]

[DOI]
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding: Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi; [pdf]
[DOI]
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition: Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou; [pdf]
[DOI]
Polarimetric Multi-View Inverse Rendering: Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi; [pdf]
[supplementary material]

[DOI]
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information: Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder; [pdf]
[supplementary material]

[DOI]
Improving Face Recognition by Clustering Unlabeled Faces in the Wild: Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker; [pdf]
[supplementary material]

[DOI]
NeuRoRA: Neural Robust Rotation Averaging: Pulak Purkait, Tat-Jun Chin, Ian Reid; [pdf]
[supplementary material]

[DOI]
SG-VAE: Scene Grammar Variational Autoencoder to generate new indoor scenes: Pulak Purkait, Christopher Zach, Ian Reid; [pdf]
[supplementary material]

[DOI]
Unsupervised Learning of Optical Flow with Deep Feature Similarity: Woobin Im, Tae-Kyun Kim, Sung-Eui Yoon; [pdf]
[DOI]
Blended Grammar Network for Human Parsing: Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang; [pdf]
[DOI]
P²Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation: Zehao Yu, Lei Jin, Shenghua Gao; [pdf]
[supplementary material]

[DOI]
Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs: Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani; [pdf]
[supplementary material]

[DOI]
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting: Xiyang Liu, Jie Yang, Wenrui Ding, Tieqiang Wang, Zhijin Wang, Junjun Xiong; [pdf]
[supplementary material]

[DOI]
BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging: Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen, Ziyi Meng, Xin Yuan; [pdf]
[supplementary material]

[DOI]
Ultra Fast Structure-aware Deep Lane Detection: Zequn Qin, Huanyu Wang, Xi Li; [pdf]
[supplementary material]

[DOI]
Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling: Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim; [pdf]
[supplementary material]

[DOI]
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN: Zhenwei He, Lei Zhang; [pdf]
[DOI]
Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition: Xiaobo Wang, Tianyu Fu, Shengcai Liao, Shuo Wang, Zhen Lei, Tao Mei; [pdf]
[DOI]
Learning Camera-Aware Noise Models: Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen; [pdf]
[supplementary material]

[DOI]
Towards Precise Completion of Deformable Shapes: Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel; [pdf]
[supplementary material]

[DOI]
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration: Jiahao Li, Changhao Zhang, Ziyao Xu, Hangning Zhou, Chi Zhang; [pdf]
[supplementary material]

[DOI]
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization: Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots; [pdf]
[supplementary material]

[DOI]
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation: Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi[2]; [pdf]
[supplementary material]

[DOI]
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data: Binghua Li, Chao Li, Feng Duan, Ning Zheng, Qibin Zhao; [pdf]
[supplementary material]

[DOI]
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis: Eu Wern Teh, Terrance DeVries, Graham W. Taylor; [pdf]
[supplementary material]

[DOI]
Learning with Privileged Information for Efficient Image Super-Resolution: Wonkyung Lee, Junghyup Lee, Dohyung Kim, Bumsub Ham; [pdf]
[supplementary material]

[DOI]
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification: Jianing Li,, Shiliang Zhang; [pdf]
[DOI]
Autoencoder-based Graph Construction for Semi-supervised Learning: Mingeun Kang, Kiwon Lee, Yong H. Lee, Changho Suh; [pdf]
[supplementary material]

[DOI]
Virtual Multi-view Fusion for 3D Semantic Segmentation: Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David Ross, Brian Brewington, Thomas Funkhouser, Caroline Pantofaru; [pdf]
[supplementary material]

[DOI]
Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition: Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, Hanqing Lu; [pdf]
[supplementary material]

[DOI]
Deep Shape from Polarization: Yunhao Ba, Alex Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi; [pdf]
[supplementary material]

[DOI]
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning: Xingyu Chen, Xuguang Lan, Fuchun Sun, Nanning Zheng; [pdf]
[DOI]
Mind the Discriminability: Asymmetric Adversarial Domain Adaptation: Jianfei Yang, Han Zou, Yuxun Zhou, Zhaoyang Zeng, Lihua Xie (); [pdf]
[supplementary material]

[DOI]
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates: Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker; [pdf]
[supplementary material]

[DOI]
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking: ShiJie Sun, Naveed Akhtar, XiangYu Song, HuanSheng Song, Ajmal Mian , Mubarak Shah; [pdf]
[supplementary material]

[DOI]
Deep FusionNet for Point Cloud Semantic Segmentation: Feihu Zhang Jin Fang Benjamin Wah Philip Torr; [pdf]
[supplementary material]

[DOI]
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information: Bichuan Guo, Jiangtao Wen, Yuxing Han; [pdf]
[supplementary material]

[DOI]
Dual Adversarial Network for Deep Active Learning: Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng; [pdf]
[DOI]
Fully Convolutional Networks for Continuous Sign Language Recognition: Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, Yu-Wing Tai; [pdf]
[supplementary material]

[DOI]
Self-adapting confidence estimation for stereo: Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia; [pdf]
[supplementary material]

[DOI]
Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention: Quewei Li, Jie Guo, Yang Fei, Qinyu Tang, Wenxiu Sun, Jin Zeng, Yanwen Guo; [pdf]
[supplementary material]

[DOI]
AutoSTR: Efficient Backbone Search for Scene Text Recognition: Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai; [pdf]
[DOI]
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification: Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha; [pdf]
[supplementary material]

[DOI]
Adversarial Training with Bi-directional Likelihood Regularization for Visual Classification: Weitao Wan, Jiansheng Chen, Ming-Hsuan Yang; [pdf]
[supplementary material]

[DOI]
Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation: Ryuichiro Hataya, Zdenek Jan, Kazuki Yoshizoe, Hideki Nakayama; [pdf]
[DOI]
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation: Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan; [pdf]
[supplementary material]

[DOI]
Boundary-Aware Cascade Networks for Temporal Action Segmentation: Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu; [pdf]
[supplementary material]

[DOI]
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation: Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui; [pdf]
[supplementary material]

[DOI]
Inference Graphs for CNN Interpretation: Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel; [pdf]
[supplementary material]

[DOI]
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension: Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, Qi Zheng; [pdf]
[DOI]
Improving Query Efficiency of Black-box Adversarial Attack: Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo; [pdf]
[supplementary material]

[DOI]
Self-similarity Student for Partial Label Histopathology Image Segmentation: Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu; [pdf]
[supplementary material]

[DOI]
BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions: Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli; [pdf]
[DOI]
A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images: Zhetong Liang, Shi Guo, Hong Gu, Huaqi Zhang, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Global-and-Local Relative Position Embedding for Unsupervised Video Summarization: Yunjae Jung, Donghyeon Cho, Sanghyun Woo, In So Kweon; [pdf]
[supplementary material]

[DOI]
Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms: Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho; [pdf]
[supplementary material]

[DOI]
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking: Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu; [pdf]
[supplementary material]

[DOI]
CenterNet Heatmap Propagation for Real-time Video Object Detection: Zhujun Xu, Emir Hrustic, Damien Vivet; [pdf]
[supplementary material]

[DOI]
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection: Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu; [pdf]
[supplementary material]

[DOI]
SOLAR: Second-Order Loss and Attention for Image Retrieval: Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk; [pdf]
[supplementary material]

[DOI]
Fixing Localization Errors to Improve Image Classification: Guolei Sun, Salman Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool; [pdf]
[DOI]
PatchPerPix for Instance Segmentation: Lisa Mais, Peter Hirsch and Dagmar Kainmueller; [pdf]
[supplementary material]

[DOI]
Attend and Segment: Attention Guided Active Semantic Segmentation: Soroush Seifi, Tinne Tuytelaars; [pdf]
[supplementary material]

[DOI]
Accelerating CNN Training by Pruning Activation Gradients: Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen; [pdf]
[supplementary material]

[DOI]
Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement: Han-Ul Kim, Young Jun Koh, Chang-Su Kim; [pdf]
[supplementary material]

[DOI]
Probabilistic Anchor Assignment with IoU Prediction for Object Detection: Kang Kim, Hee Seok Lee; [pdf]
[supplementary material]

[DOI]
Eyeglasses 3D shape reconstruction from a single face image: Yating Wang, Quan Wang, Feng Xu; [pdf]
[supplementary material]

[DOI]
Temporal Complementary Learning for Video Person Re-Identification: Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen; [pdf]
[DOI]
HoughNet: Integrating near and long-range evidence for bottom-up object detection: Nermin Samet, Samet Hicsonmez, Emre Akbas; [pdf]
[supplementary material]

[DOI]
Graph Wasserstein Correlation Analysis for Movie Retrieval: Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang; [pdf]
[supplementary material]

[DOI]
Context-Aware RCNN: A Baseline for Action Detection in Videos: Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu; [pdf]
[DOI]
Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization: Ning Li, Yongqiang Zhao, Quan Pan, Seong G. Kong, Jonathan Cheung-Wai Chan; [pdf]
[supplementary material]

[DOI]
A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation: Haoxian Zhang, Yang Zhao, Ronggang Wang; [pdf]
[supplementary material]

[DOI]
Learning Enriched Features for Real Image Restoration and Enhancement: Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao; [pdf]
[supplementary material]

[DOI]
Detail Preserved Point Cloud Completion via Separated Feature Aggregation: Wenxiao Zhang, Qingan Yan, Chunxia Xiao; [pdf]
[supplementary material]

[DOI]
LabelEnc: A New Intermediate Supervision Method for Object Detection: Miao Hao, Yitao Liu, Xiangyu Zhang, Jian Sun; [pdf]
[supplementary material]

[DOI]
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets: Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, Jose J. Guerrero, Cédric Demonceaux, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
PAMS: Quantized Super-Resolution via Parameterized Max Scale: Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji; [pdf]
[DOI]
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds: Xinge Zhu Yuexin Ma Tai Wang Yan Xu Jianping Shi Dahua Lin; [pdf]
[supplementary material]

[DOI]
OID: Outlier Identifying and Discarding in Blind Image Deblurring: Liang Chen, Faming Fang, Jiawei Zhang, Jun Liu, Guixu Zhang; [pdf]
[supplementary material]

[DOI]
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors: Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky; [pdf]
[supplementary material]

[DOI]
Enhanced Sparse Model for Blind Deblurring: Liang Chen, Faming Fang, Shen Lei, Fang Li, Guixu Zhang; [pdf]
[supplementary material]

[DOI]
SumGraph: Video Summarization via Recursive Graph Modeling: Jungin Park, Jiyoung Lee, Ig-Jae Kim, Kwanghoon Sohn; [pdf]
[supplementary material]

[DOI]
Feature Normalized Knowledge Distillation for Image Classification: Kunran Xu, Lai Rui, Yishi Li, Lin Gu; [pdf]
[DOI]
A Metric Learning Reality Check: Kevin Musgrave, Serge Belongie, Ser-Nam Lim; [pdf]
[supplementary material]

[DOI]
FTL: A universal framework for training low-bit DNNs via Feature Transfer: Kunyuan Du, Ya Zhang, Haibing Guan, Qi Tian, Shenggan Cheng, James Lin; [pdf]
[DOI]
XingGAN for Person Image Generation: Hao Tang, Song Bai, Li Zhang, Philip H.S. Torr, Nicu Sebe; [pdf]
[supplementary material]

[DOI]
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering: Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang; [pdf]
[supplementary material]

[DOI]
VCNet: A Robust Approach to Blind Image Inpainting: Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia; [pdf]
[supplementary material]

[DOI]
Learning to Predict Context-adaptive Convolution for Semantic Segmentation: Jianbo Liu, Junjun He, Yu Qiao, Jimmy S. Ren, Hongsheng Li; [pdf]
[DOI]
EfficientFCN: Holistically-guided Decoding for Semantic Segmentation: Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li; [pdf]
[DOI]
GroSS: Group-Size Series Decomposition for Grouped Architecture Search: Henry Howard-Jenkins, Yiwen Li, Victor Adrian Prisacariu; [pdf]
[supplementary material]

[DOI]
Efficient Adversarial Attacks for Visual Object Tracking: Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao; [pdf]
[supplementary material]

[DOI]
Globally-Optimal Event Camera Motion Estimation: Xin Peng, Yifu Wang, Ling Gao, Laurent Kneip; [pdf]
[supplementary material]

[DOI]
Weakly-supervised Learning of Human Dynamics: Petrissa Zell, Bodo Rosenhahn, Bastian Wandt; [pdf]
[supplementary material]

[DOI]
Journey Towards Tiny Perceptual Super-Resolution: Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane; [pdf]
[supplementary material]

[DOI]
What makes fake images detectable? Understanding properties that generalize: Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola; [pdf]
[supplementary material]

[DOI]
Embedding Propagation: Smoother Manifold for Few-Shot Classification: Pau Rodríguez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste; [pdf]
[supplementary material]

[DOI]
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis: Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges; [pdf]
[supplementary material]

[DOI]
High-Fidelity Synthesis with Disentangled Representation: Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee; [pdf]
[supplementary material]

[DOI]
PL₁P - Point-line Minimal Problems under Partial Visibility in Three Views: Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla; [pdf]
[supplementary material]

[DOI]
Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification: Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan; [pdf]
[supplementary material]

[DOI]
Learning Canonical Representations for Scene Graph to Image Generation: Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson; [pdf]
[supplementary material]

[DOI]
Adversarial Robustness on In- and Out-Distribution Improves Explainability: Maximilian Augustin, Alexander Meinke, Matthias Hein; [pdf]
[supplementary material]

[DOI]
Deformable Style Transfer: Sunnie S. Y. Kim, Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich; [pdf]
[supplementary material]

[DOI]
Aligning Videos in Space and Time: Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta; [pdf]
[supplementary material]

[DOI]
Neural Wireframe Renderer: Learning Wireframe to Image Translations: Yuan Xue, Zihan Zhou, Xiaolei Huang; [pdf]
[supplementary material]

[DOI]
RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax: Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li; [pdf]
[DOI]
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction: Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
Determining the Relevance of Features for Deep Neural Networks: Christian Reimers, Jakob Runge, Joachim Denzler; [pdf]
[supplementary material]

[DOI]
Weakly Supervised Semantic Segmentation with Boundary Exploration: Liyi Chen, Weiwei Wu, Chenchen Fu, Xiao Han, Yuntao Zhang; [pdf]
[DOI]
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation: Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang; [pdf]
[supplementary material]

[DOI]
DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild: Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Grégory Rogez; [pdf]
[DOI]
Multi-view adaptive graph convolutions for graph classification: Nikolas Adaloglou, Nicholas Vretos, Petros Daras; [pdf]
[DOI]
Instance Adaptive Self-Training for Unsupervised Domain Adaptation: Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang; [pdf]
[supplementary material]

[DOI]
Weight Decay Scheduling and Knowledge Distillation for Active Learning: Juseung Yun, Byungjoo Kim, Junmo Kim; [pdf]
[DOI]
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs: Hai Victor Habi, Roy H. Jennings, Arnon Netzer; [pdf]
[DOI]
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning: Christopher Zach, Huu Le; [pdf]
[supplementary material]

[DOI]
Geometry Constrained Weakly Supervised Object Localization: Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, Jinming Duan; [pdf]
[supplementary material]

[DOI]
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning: Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig; [pdf]
[supplementary material]

[DOI]
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering: Yaniv Benny, Lior Wolf; [pdf]
[supplementary material]

[DOI]
Mining self-similarity: Label super-resolution with epitomic representations: Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic; [pdf]
[supplementary material]

[DOI]
AE-OT-GAN: Training GANs from data specific latent distribution: Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Xianfang Gu; [pdf]
[supplementary material]

[DOI]
Null-sampling for Interpretable and Fair Representations: Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto; [pdf]
[supplementary material]

[DOI]
Guiding Monocular Depth Estimation Using Depth-Attention Volume: Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä; [pdf]
[supplementary material]

[DOI]
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping: Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki; [pdf]
[supplementary material]

[DOI]
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer: Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang; [pdf]
[supplementary material]

[DOI]
BézierSketch: A generative model for scalable vector sketches: Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song; [pdf]
[supplementary material]

[DOI]
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation: Zeqi Li, Ruowei Jiang,, Parham Aarabi; [pdf]
[supplementary material]

[DOI]
Domain Adaptation Through Task Distillation: Brady Zhou, Nimit Kalra, Philipp Krähenbühl; [pdf]
[supplementary material]

[DOI]
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning: Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille; [pdf]
[supplementary material]

[DOI]
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning: Yu Liu, Sarah Parisot, Gregory Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars; [pdf]
[supplementary material]

[DOI]
Extending and Analyzing Self-Supervised Learning Across Domains: Bram Wallace, Bharath Hariharan; [pdf]
[supplementary material]

[DOI]
Multi-Source Open-Set Deep Adversarial Domain Adaptation: Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri; [pdf]
[supplementary material]

[DOI]
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection: Wen-Hsuan Chu, Kris M. Kitani; [pdf]
[supplementary material]

[DOI]
LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities: Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu; [pdf]
[supplementary material]

[DOI]
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images: Matthew Purri, Kristin Dana; [pdf]
[DOI]
Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion: José Pedro Iglesias, Carl Olsson, Marcus Valtonen Örnhag; [pdf]
[supplementary material]

[DOI]
Proposal-based Video Completion: Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing; [pdf]
[supplementary material]

[DOI]
HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation: Haifeng Xia, Zhengming Ding; [pdf]
[DOI]
Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding: Kaihao Zhang, Wenhan Luo, Wenqi Ren, Jingwen Wang Fang Zhao, Lin Ma , Hongdong Li; [pdf]
[DOI]
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks: Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, Naresh Shanbhag; [pdf]
[supplementary material]

[DOI]
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling: Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang , Konstantinos N Plataniotis; [pdf]
[supplementary material]

[DOI]
A Broader Study of Cross-Domain Few-Shot Learning: Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris; [pdf]
[supplementary material]

[DOI]
Practical Poisoning Attacks on Neural Networks: Junfeng Guo, Cong Liu; [pdf]
[supplementary material]

[DOI]
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification: Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger; [pdf]
[DOI]
Learn distributed GAN with Temporary Discriminators: Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas; [pdf]
[supplementary material]

[DOI]
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems: Leo F Isikdogan, Bhavin V Nayak, Chyuan-Tyng Wu, Joao Peralta Moreira , Sushma Rao, Gilad Michael; [pdf]
[DOI]
Improving Adversarial Robustness by Enforcing Local and Global Compactness: Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung; [pdf]
[supplementary material]

[DOI]
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation: Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, and Pascal Fua; [pdf]
[supplementary material]

[DOI]
Channel selection using Gumbel Softmax: Charles Herrmann, Richard Strong Bowen, Ramin Zabih; [pdf]
[supplementary material]

[DOI]
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification: Dripta S. Raychaudhuri, Amit K. Roy-Chowdhury; [pdf]
[supplementary material]

[DOI]
An Efficient Training Framework for Reversible Neural Architectures: Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan; [pdf]
[DOI]
Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation: Viveka Kulharia, Siddhartha Chandra, Amit Agrawal, Philip Torr, Ambrish Tyagi; [pdf]
[supplementary material]

[DOI]
FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras: Yicheng Wu, Vivek Boominathan, Xuan Zhao, Jacob T. Robinson, Hiroshi Kawasaki, Aswin Sankaranarayanan, Ashok Veeraraghavan; [pdf]
[supplementary material]

[DOI]
One-Pixel Signature: Characterizing CNN Models for Backdoor Detection: Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu; [pdf]
[DOI]
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning: Linchao Zhu, Sercan . Arık, Yi Yang, Tomas Pfister; [pdf]
[supplementary material]

[DOI]
Structure-Aware Generation Network for Recipe Generation from Images: Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao; [pdf]
[DOI]
A Simple and Effective Framework for Pairwise Deep Metric Learning: Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang; [pdf]
[supplementary material]

[DOI]
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner: Eugene Lee, Evan Chen, Chen-Yi Lee; [pdf]
[supplementary material]

[DOI]
A Recurrent Transformer Network for Novel View Action Synthesis: Kara Marie Schatz, Erik Quintanilla, Shruti Vyas, Yogesh S Rawat; [pdf]
[supplementary material]

[DOI]
Multi-view Action Recognition using Cross-view Video Prediction: Shruti Vyas, Yogesh S Rawat, Mubarak Shah; [pdf]
[supplementary material]

[DOI]
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation: Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng, Tian Fang, Long Quan; [pdf]
[DOI]
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction: Sriram N N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker; [pdf]
[supplementary material]

[DOI]
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation: Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang; [pdf]
[supplementary material]

[DOI]
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts: Chi-Chong Wong, Chi-Man Vong; [pdf]
[DOI]
Attributional Robustness Training using Input-Gradient Spatial Alignment: Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy; [pdf]
[supplementary material]

[DOI]
Reducing the Sim-to-Real Gap for Event Cameras: Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert Mahony; [pdf]
[supplementary material]

[DOI]
Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning: Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou; [pdf]
[DOI]
Learning Data Augmentation Strategies for Object Detection: Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le; [pdf]
[supplementary material]

[DOI]
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search: Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan; [pdf]
[DOI]
A Closer Look at Generalisation in RAVEN: Steven Spratley, Krista Ehinger, Tim Miller; [pdf]
[supplementary material]

[DOI]
Supervised Edge Attention Network for Accurate Image Instance Segmentation: Xier Chen, Yanchao Lian, Licheng Jiao, Haoran Wang, YanJie Gao, Shi Lingling; [pdf]
[DOI]
Discriminative Partial Domain Adversarial Network: Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung; [pdf]
[supplementary material]

[DOI]
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model: John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards , Philip Christensen, Suren Jayasuriya; [pdf]
[supplementary material]

[DOI]
Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network: Xiao Shi, Chenxue Yang, Xue Xia, Xiujuan Chai; [pdf]
[DOI]
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes: Liang Liao, Jing Xiao, Zheng Wang, Chia-Wen Lin, Shin’ichi Satoh; [pdf]
[supplementary material]

[DOI]
Sound2Sight: Generating Visual Dynamics from Sound and Context: Moitreya Chatterjee, Anoop Cherian; [pdf]
[supplementary material]

[DOI]
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection: Jin Hyeok Yoo, Yecheol Kim, Jisong Kim, Jun Won Choi; [pdf]
[DOI]
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models: Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz; [pdf]
[DOI]
Fast Adaptation to Super-Resolution Networks via Meta-Learning: Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim; [pdf]
[DOI]
TP-LSD: Tri-Points Based Line Segment Detector: Siyu Huang, Fangbo Qin, Pengfei Xiong, Ning Ding, Yijia He, Xiao Liu; [pdf]
[supplementary material]

[DOI]
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation: Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka; [pdf]
[supplementary material]

[DOI]
An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification: Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu; [pdf]
[supplementary material]

[DOI]
Toward Fine-grained Facial Expression Manipulation: Jun Ling, Han Xue, Li Song, Shuhui Yang, Rong Xie, Xiao Gu; [pdf]
[DOI]
Adaptive Object Detection with Dual Multi-Label Prediction: Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye; [pdf]
[DOI]
Table Structure Recognition using Top-Down and Bottom-Up Cues: Sachin Raja, Ajoy Mondal, C V Jawahar; [pdf]
[supplementary material]

[DOI]
Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder: Mingyu Yin, Li Sun, Qingli Li; [pdf]
[supplementary material]

[DOI]
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments: Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee; [pdf]
[supplementary material]

[DOI]
Boundary Content Graph Neural Network for Temporal Action Proposal Generation: Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, Junhui Liu; [pdf]
[supplementary material]

[DOI]
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition: Yunhao Ge, Jiaping Zhao, Laurent Itti; [pdf]
[supplementary material]

[DOI]
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval: Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo; [pdf]
[DOI]
Attention-Based Query Expansion Learning: Albert Gordo, Filip Radenovic, Tamara Berg; [pdf]
[DOI]
Interpretable Foreground Object Search As Knowledge Distillation: Boren Li, Po-Yu Zhuang, Jian Gu, Mingyang Li, Ping Tan; [pdf]
[DOI]
Improving Knowledge Distillation via Category Structure: Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao; [pdf]
[DOI]
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images: Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton; [pdf]
[supplementary material]

[DOI]
Attentive Prototype Few-shot Learning with Capsule Network-based Embedding: Fangyu Wu, Jeremy S.Smith, Wenjin Lu, Chaoyi Pang, Bailing Zhang; [pdf]
[DOI]
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances: Aditya Arun, C.V. Jawahar, M. Pawan Kumar; [pdf]
[supplementary material]

[DOI]
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving: Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song; [pdf]
[supplementary material]

[DOI]
Visual-Relation Conscious Image Generation from Structured-Text: Duc Minh Vo, Akihiro Sugimoto; [pdf]
[supplementary material]

[DOI]
Patch-wise Attack for Fooling Deep Neural Network: Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen; [pdf]
[supplementary material]

[DOI]
Feature Pyramid Transformer: Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun; [pdf]
[supplementary material]

[DOI]
MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module: Jiabin Xing, Zhi Qi, Jiying Dong, Jiaxuan Cai, Hao Liu; [pdf]
[DOI]
Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes: Lingxiao He, Wu Liu; [pdf]
[DOI]
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection: Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu; [pdf]
[DOI]
Explaining Image Classifiers using Statistical Fault Localization: Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening; [pdf]
[DOI]
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers: Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius; [pdf]
[supplementary material]

[DOI]
Learning Video Representations by Transforming Time: Simon Jenni, Givi Meishvili, Paolo Favaro; [pdf]
[supplementary material]

[DOI]
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation: Madhu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera; [pdf]
[DOI]
Variational Connectionist Temporal Classification: Linlin Chao, Jingdong Chen, Wei Chu; [pdf]
[DOI]
End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation: Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu; [pdf]
[supplementary material]

[DOI]
Orderly Disorder in Point Cloud Domain: Morteza Ghahremani, Bernard Tiddeman, Yonghuai Liu, and Ardhendu Behera; [pdf]
[DOI]
Deep Decomposition Learning for Inverse Imaging Problems: Dongdong Chen, Mike E. Davies; [pdf]
[DOI]
FLOT: Scene Flow on Point Clouds guided by Optimal Transport: Gilles Puy, Alexandre Boulch, Renaud Marlet; [pdf]
[supplementary material]

[DOI]
Accurate Reconstruction of Oriented 3D Points using Affine Correspondences: Carolina Raposo, Joao P. Barreto; [pdf]
[supplementary material]

[DOI]
Volumetric Transformer Networks: Seungryong Kim, Sabine Ssstrunk, Mathieu Salzmann; [pdf]
[DOI]
360(o) Camera Alignment via Segmentation: Benjamin Davidson, Mohsan S. Alvi, João F. Henriques; [pdf]
[supplementary material]

[DOI]
A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval: Bin Wang, Yongsheng Gao; [pdf]
[DOI]
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks: Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour; [pdf]
[supplementary material]

[DOI]
Guided Semantic Flow: Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, Kwanghoon Sohn; [pdf]
[supplementary material]

[DOI]
Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation: Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy; [pdf]
[supplementary material]

[DOI]
Measuring the Importance of Temporal Features in Video Saliency: Matthias Tangemann, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge; [pdf]
[supplementary material]

[DOI]
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution: Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han; [pdf]
[supplementary material]

[DOI]
Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images: Leonardo Citraro, Mateusz Koziński, Pascal Fua; [pdf]
[supplementary material]

[DOI]
Online Continual Learning under Extreme Memory Constraints: Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci; [pdf]
[supplementary material]

[DOI]
Learning to Cluster under Domain Shift: Willi Menapace, Stéphane Lathuilière, Elisa Ricci; [pdf]
[supplementary material]

[DOI]
Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds: Yueru Li, Shuyu Cheng, Hang Su, Jun Zhu; [pdf]
[supplementary material]

[DOI]
Improving Optical Flow on a Pyramid Level: Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder; [pdf]
[supplementary material]

[DOI]
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations: Sungheon Park, Minsik Lee, Nojun Kwak; [pdf]
[supplementary material]

[DOI]
Learning to Learn Parameterized Classification Networks for Scalable Input Images: Duo Li, Anbang Yao, Qifeng Chen; [pdf]
[supplementary material]

[DOI]
Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction: Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich; [pdf]
[supplementary material]

[DOI]
Simplicial Complex based Point Correspondence between Images warped onto Manifolds: Charu Sharma, Manohar Kaul; [pdf]
[supplementary material]

[DOI]
Representation Learning on Visual-Symbolic Graphs for Video Understanding: Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal; [pdf]
[supplementary material]

[DOI]
Distance-Normalized Unified Representation for Monocular 3D Object Detection: Xuepeng Shi, Zhixiang Chen, Tae-Kyun Kim; [pdf]
[DOI]
Sequential Deformation for Accurate Scene Text Detection: Shanyu Xiao, Liangrui Peng, Ruijie Yan, Keyu An, Gang Yao, Jaesik Min; [pdf]
[DOI]
Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration: Yiming Wang, Alessio Del Bue; [pdf]
[supplementary material]

[DOI]
Semi-Supervised Segmentation based on Error-Correcting Supervision: Robert Mendel, Luis Antonio de Souza Jr, David Rauber, João Paulo Papa, Christoph Palm; [pdf]
[DOI]
Quantum-soft QUBO Suppression for Accurate Object Detection: Junde Li, Swaroop Ghosh; [pdf]
[DOI]
Label-similarity Curriculum Learning: Ürün Dogan, Aniket Anand Deshmukh, Marcin Bronislaw Machura, Christian Igel; [pdf]
[supplementary material]

[DOI]
Recurrent Image Annotation With Explicit Inter-Label Dependencies: Ayushi Dutta, Yashaswi Verma, C.V. Jawahar; [pdf]
[DOI]
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution: Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu , Zongben Xu; [pdf]
[DOI]
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data: Tyler Zhu, Per Karlsson, Christoph Bregler; [pdf]
[DOI]
ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images: Yu-Hui Lee, Shang-Hong Lai; [pdf]
[supplementary material]

[DOI]
Differentiable Joint Pruning and Quantization for Hardware Efficiency: Ying Wang, Yadong Lu, Tijmen Blankevoort; [pdf]
[DOI]
Learning to Generate Customized Dynamic 3D Facial Expressions: Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou; [pdf]
[supplementary material]

[DOI]
LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors: Jan Brejcha, Michal Lukáč, Yannick Hold-Geoffroy, Oliver Wang, Martin Čadík; [pdf]
[supplementary material]

[DOI]
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration: Xin Li, Xin Jin, Jianxin Lin, Sen Liu, Yaojun Wu, Tao Yu, Wei Zhou , Zhibo Chen; [pdf]
[DOI]
Jointly De-biasing Face Recognition and Demographic Attribute Estimation: Sixue Gong, Xiaoming Liu, Anil K. Jain; [pdf]
[supplementary material]

[DOI]
Regularized Loss for Weakly Supervised Single Class Semantic Segmentation: Olga Veksler; [pdf]
[supplementary material]

[DOI]
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks: Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy; [pdf]
[supplementary material]

[DOI]
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations: Aditya Golatkar, Alessandro Achille, Stefano Soatto; [pdf]
[supplementary material]

[DOI]
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations: Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy; [pdf]
[supplementary material]

[DOI]
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks: Baris Gecer, Alexandros Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou; [pdf]
[supplementary material]

[DOI]
Learning to Learn Words from Visual Scenes: Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick; [pdf]
[supplementary material]

[DOI]
On Transferability of Histological Tissue Labels in Computational Pathology: Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis; [pdf]
[supplementary material]

[DOI]
Learning Actionness via Long-range Temporal Order Verification: Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic; [pdf]
[supplementary material]

[DOI]
Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays: Laurie Bose, Piotr Dudek, Jianing Chen, Stephen J. Carey, Walterio W. Mayol-Cuevas; [pdf]
[supplementary material]

[DOI]
Character Region Attention For Text Spotting: Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee , Daehyun Nam, Hwalsuk Lee; [pdf]
[DOI]
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network: Anh-Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov , Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan Oseledets, Andrzej Cichocki; [pdf]
[DOI]
Dual Mixup Regularized Learning for Adversarial Domain Adaptation: Yuan Wu, Diana Inkpen, Ahmed El-Roby; [pdf]
[DOI]
Robust and On-the-fly Dataset Denoising for Image Classification: Jiaming Song, Yann Dauphin, Michael Auli, Tengyu Ma; [pdf]
[supplementary material]

[DOI]
Imaging Behind Occluders Using Two-Bounce Light: Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar; [pdf]
[supplementary material]

[DOI]
Improving Object Detection with Selective Self-Supervised Self-Training: Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong; [pdf]
[supplementary material]

[DOI]
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction: Rohan Chabra, Jan E. Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard Newcombe; [pdf]
[supplementary material]

[DOI]
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning: Aditya Sanghi; [pdf]
[supplementary material]

[DOI]
Adversarial Data Augmentation via Deformation Statistics: Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer; [pdf]
[DOI]
Neural Predictor for Neural Architecture Search: Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender, Pieter-Jan Kindermans; [pdf]
[supplementary material]

[DOI]
Learning Permutation Invariant Representations using Memory Networks: Shivam Kalra, Mohammed Adnan, Graham Taylor, H.R. Tizhoosh; [pdf]
[DOI]
Feature Space Augmentation for Long-Tailed Data: Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling; [pdf]
[supplementary material]

[DOI]
Laying the Foundations of Deep Long-Term Crowd Flow Prediction: Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia; [pdf]
[DOI]
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning: Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu; [pdf]
[DOI]
Fairness by Learning Orthogonal Disentangled Representations: Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni; [pdf]
[supplementary material]

[DOI]
Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation: Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert; [pdf]
[supplementary material]

[DOI]
On Diverse Asynchronous Activity Anticipation: He Zhao, Richard P. Wildes; [pdf]
[supplementary material]

[DOI]
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery: Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi, Craig Stutts; [pdf]
[supplementary material]

[DOI]
Structure-Aware Human-Action Generation: Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen; [pdf]
[supplementary material]

[DOI]
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition: Niamul Quader, Juwei Lu, Peng Dai, Wei Li; [pdf]
[supplementary material]

[DOI]
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data: Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia; [pdf]
[supplementary material]

[DOI]
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning: Maunil R Vyas, Hemanth Venkateswara, Sethuraman Panchanathan; [pdf]
[supplementary material]

[DOI]
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks: Niamul Quader, Md Mafijul Islam Bhuiyan, Juwei Lu, Peng Dai, Wei Li; [pdf]
[supplementary material]

[DOI]
UNITER: UNiversal Image-TExt Representation Learning: Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu; [pdf]
[supplementary material]

[DOI]
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks: Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao; [pdf]
[supplementary material]

[DOI]
Improving Face Recognition from Hard Samples via Distribution Distillation Loss: Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji; [pdf]
[supplementary material]

[DOI]
Extract and Merge: Superpixel Segmentation with Regional Attributes: Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, Qi Tian; [pdf]
[DOI]
Spatial-Adaptive Network for Single Image Denoising: Meng Chang, Qi Li, Huajun Feng, Zhihai Xu; [pdf]
[supplementary material]

[DOI]
Physics-based Feature Dehazing Networks: Jiangxin Dong, Jinshan Pan; [pdf]
[DOI]
Learning Surrogates via Deep Embedding: Yash Patel, Tomáš Hodaň, Jiří Matas; [pdf]
[DOI]
An Asymmetric Modeling for Action Assessment: Jibin Gao, Wei-Shi Zheng, Jia-Hui Pan, Chengying Gao, Yaowei Wang, Wei Zeng, Jianhuang Lai; [pdf]
[supplementary material]

[DOI]
High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation: Wenyu Sun, Chen Tang, Weigui Li, Zhuqing Yuan, Huazhong Yang, Yongpan Liu; [pdf]
[supplementary material]

[DOI]
Instance-Aware Embedding for Point Cloud Instance Segmentation: Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun; [pdf]
[DOI]
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples: Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu; [pdf]
[DOI]
Manifold Projection for Adversarial Defense on Face Recognition: Jianli Zhou, Chao Liang, Jun Chen; [pdf]
[supplementary material]

[DOI]
Weakly Supervised Learning with Side Information for Noisy Labeled Images: Lele Cheng, Xiangzeng Zhou, Liming Zhao, Dangwei Li, Hong Shang, Yun Zheng, Pan Pan, Yinghui Xu; [pdf]
[DOI]
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision: Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu , Zhiwei Yang; [pdf]
[supplementary material]

[DOI]
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection: Rui Fan, Hengli Wang, Peide Cai, Ming Liu; [pdf]
[supplementary material]

[DOI]
Modeling the Space of Point Landmark Constrained Diffeomorphisms: Chengfeng Wen, Yang Guo, Xianfeng Gu; [pdf]
[DOI]
PieNet: Personalized Image Enhancement Network: Han-Ul Kim, Young Jun Koh, Chang-Su Kim; [pdf]
[supplementary material]

[DOI]
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition: Arman Karimian, Ziqi Yang, Roberto Tron; [pdf]
[DOI]
Speech-driven Facial Animation using Cascaded GANs for Learning of Motion and Texture: Dipanjan Das, Sandika Biswas, Sanjana Sinha, Brojeshwar Bhowmick; [pdf]
[supplementary material]

[DOI]
Solving Phase Retrieval with a Learned Reference: Rakib Hyder, Zikui Cai, M. Salman Asif; [pdf]
[DOI]
Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps: Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao; [pdf]
[DOI]

Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry: Ling, Yonggen and Bao, Linchao and Jie, Zequn and Zhu, Fengming and Li, Ziyang and Tang, Shanmin and Liu, Yongsheng and Liu, Wei and Zhang, Tong; [pdf]
[bibtex]
@InProceedings{Ling_2018_ECCV,
author = {Ling, Yonggen and Bao, Linchao and Jie, Zequn and Zhu, Fengming and Li, Ziyang and Tang, Shanmin and Liu, Yongsheng and Liu, Wei and Zhang, Tong},
title = {Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pose Partition Networks for Multi-Person Pose Estimation: Nie, Xuecheng and Feng, Jiashi and Xing, Junliang and Yan, Shuicheng; [pdf]
[bibtex]
@InProceedings{Nie_2018_ECCV,
author = {Nie, Xuecheng and Feng, Jiashi and Xing, Junliang and Yan, Shuicheng},
title = {Pose Partition Networks for Multi-Person Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition: Zhan, Xiaohang and Liu, Ziwei and Yan, Junjie and Lin, Dahua and Change Loy, Chen; [pdf]
[bibtex]
@InProceedings{Zhan_2018_ECCV,
author = {Zhan, Xiaohang and Liu, Ziwei and Yan, Junjie and Lin, Dahua and Change Loy, Chen},
title = {Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Open-World Stereo Video Matching with Deep RNN: Zhong, Yiran and Li, Hongdong and Dai, Yuchao; [pdf]
[bibtex]
@InProceedings{Zhong_2018_ECCV,
author = {Zhong, Yiran and Li, Hongdong and Dai, Yuchao},
title = {Open-World Stereo Video Matching with Deep RNN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Cross-Modal Projection Learning for Image-Text Matching: Zhang, Ying and Lu, Huchuan; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ying and Lu, Huchuan},
title = {Deep Cross-Modal Projection Learning for Image-Text Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Gray-box Adversarial Training: Vivek, B. S. and Reddy Mopuri, Konda and Venkatesh Babu, R.; [pdf]
[bibtex]
@InProceedings{Vivek_2018_ECCV,
author = {Vivek, B. S. and Reddy Mopuri, Konda and Venkatesh Babu, R.},
title = {Gray-box Adversarial Training},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Class Model Fitting by Energy Minimization and Mode-Seeking: Barath, Daniel and Matas, Jiri; [pdf]
[bibtex]
@InProceedings{Barath_2018_ECCV,
author = {Barath, Daniel and Matas, Jiri},
title = {Multi-Class Model Fitting by Energy Minimization and Mode-Seeking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MRF Optimization with Separable Convex Prior on Partially Ordered Labels: Domokos, Csaba and Schmidt, Frank R. and Cremers, Daniel; [pdf]
[bibtex]
@InProceedings{Domokos_2018_ECCV,
author = {Domokos, Csaba and Schmidt, Frank R. and Cremers, Daniel},
title = {MRF Optimization with Separable Convex Prior on Partially Ordered Labels},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions: Li, Qing and Tao, Qingyi and Joty, Shafiq and Cai, Jianfei and Luo, Jiebo; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Qing and Tao, Qingyi and Joty, Shafiq and Cai, Jianfei and Luo, Jiebo},
title = {VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Context Refinement for Object Detection: Chen, Zhe and Huang, Shaoli and Tao, Dacheng; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Zhe and Huang, Shaoli and Tao, Dacheng},
title = {Context Refinement for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network: Cheng, Xinjing and Wang, Peng and Yang, Ruigang; [pdf]
[bibtex]
@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Xinjing and Wang, Peng and Yang, Ruigang},
title = {Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zero-Annotation Object Detection with Web Knowledge Transfer: Tao, Qingyi and Yang, Hao and Cai, Jianfei; [pdf]
[bibtex]
@InProceedings{Tao_2018_ECCV,
author = {Tao, Qingyi and Yang, Hao and Cai, Jianfei},
title = {Zero-Annotation Object Detection with Web Knowledge Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues: Wing Fung Yeung, Henry and Hou, Junhui and Chen, Jie and Ying Chung, Yuk and Chen, Xiaoming; [pdf]
[bibtex]
@InProceedings{Yeung_2018_ECCV,
author = {Wing Fung Yeung, Henry and Hou, Junhui and Chen, Jie and Ying Chung, Yuk and Chen, Xiaoming},
title = {Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AGIL: Learning Attention from Human for Visuomotor Tasks: Zhang, Ruohan and Liu, Zhuode and Zhang, Luxin and Whritner, Jake A. and Muller, Karl S. and Hayhoe, Mary M. and Ballard, Dana H.; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ruohan and Liu, Zhuode and Zhang, Luxin and Whritner, Jake A. and Muller, Karl S. and Hayhoe, Mary M. and Ballard, Dana H.},
title = {AGIL: Learning Attention from Human for Visuomotor Tasks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Physical Primitive Decomposition: Liu, Zhijian and Freeman, William T. and Tenenbaum, Joshua B. and Wu, Jiajun; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Zhijian and Freeman, William T. and Tenenbaum, Joshua B. and Wu, Jiajun},
title = {Physical Primitive Decomposition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Expander Networks: Efficient Deep Networks from Graph Theory: Prabhu, Ameya and Varma, Girish and Namboodiri, Anoop; [pdf]
[bibtex]
@InProceedings{Prabhu_2018_ECCV,
author = {Prabhu, Ameya and Varma, Girish and Namboodiri, Anoop},
title = {Deep Expander Networks: Efficient Deep Networks from Graph Theory},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Real-Time MDNet: Jung, Ilchae and Son, Jeany and Baek, Mooyeol and Han, Bohyung; [pdf]
[bibtex]
@InProceedings{Jung_2018_ECCV,
author = {Jung, Ilchae and Son, Jeany and Baek, Mooyeol and Han, Bohyung},
title = {Real-Time MDNet},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning: Wolf, Steffen and Pape, Constantin and Bailoni, Alberto and Rahaman, Nasim and Kreshuk, Anna and Kothe, Ullrich and Hamprecht, FredA.; [pdf]
[bibtex]
@InProceedings{Wolf_2018_ECCV,
author = {Wolf, Steffen and Pape, Constantin and Bailoni, Alberto and Rahaman, Nasim and Kreshuk, Anna and Kothe, Ullrich and Hamprecht, FredA.},
title = {The Mutex Watershed: Efficient, Parameter-Free Image Partitioning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MVSNet: Depth Inference for Unstructured Multi-view Stereo: Yao, Yao and Luo, Zixin and Li, Shiwei and Fang, Tian and Quan, Long; [pdf]
[bibtex]
@InProceedings{Yao_2018_ECCV,
author = {Yao, Yao and Luo, Zixin and Li, Shiwei and Fang, Tian and Quan, Long},
title = {MVSNet: Depth Inference for Unstructured Multi-view Stereo},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Audio-Visual Event Localization in Unconstrained Videos: Tian, Yapeng and Shi, Jing and Li, Bochen and Duan, Zhiyao and Xu, Chenliang; [pdf]
[bibtex]
@InProceedings{Tian_2018_ECCV,
author = {Tian, Yapeng and Shi, Jing and Li, Bochen and Duan, Zhiyao and Xu, Chenliang},
title = {Audio-Visual Event Localization in Unconstrained Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attend and Rectify: a gated attention mechanism for fine-grained recovery: Rodriguez, Pau and Gonfaus, Josep M. and Cucurull, Guillem and XavierRoca, F. and Gonzalez, Jordi; [pdf]
[bibtex]
@InProceedings{Rodriguez_2018_ECCV,
author = {Rodriguez, Pau and Gonfaus, Josep M. and Cucurull, Guillem and XavierRoca, F. and Gonzalez, Jordi},
title = {Attend and Rectify: a gated attention mechanism for fine-grained recovery},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PyramidBox: A Context-assisted Single Shot Face Detector: Tang, Xu and Du, Daniel K. and He, Zeqiang and Liu, Jingtuo; [pdf]
[bibtex]
@InProceedings{Tang_2018_ECCV,
author = {Tang, Xu and Du, Daniel K. and He, Zeqiang and Liu, Jingtuo},
title = {PyramidBox: A Context-assisted Single Shot Face Detector},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments: Fischer, Tobias and Jin Chang, Hyung and Demiris, Yiannis; [pdf]
[bibtex]
@InProceedings{Fischer_2018_ECCV,
author = {Fischer, Tobias and Jin Chang, Hyung and Demiris, Yiannis},
title = {RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias: Panda, Rameswar and Zhang, Jianming and Li, Haoxiang and Lee, Joon-Young and Lu, Xin and Roy-Chowdhury, Amit K.; [pdf]
[bibtex]
@InProceedings{Panda_2018_ECCV,
author = {Panda, Rameswar and Zhang, Jianming and Li, Haoxiang and Lee, Joon-Young and Lu, Xin and Roy-Chowdhury, Amit K.},
title = {Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering: Zhang, Zheng and Liu, Li and Qin, Jie and Zhu, Fan and Shen, Fumin and Xu, Yong and Shao, Ling and Tao Shen, Heng; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Zheng and Liu, Li and Qin, Jie and Zhu, Fan and Shen, Fumin and Xu, Yong and Shao, Ling and Tao Shen, Heng},
title = {Highly-Economized Multi-View Binary Compression for Scalable Image Clustering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Kalman Filtering Network for Video Compression Artifact Reduction: Lu, Guo and Ouyang, Wanli and Xu, Dong and Zhang, Xiaoyun and Gao, Zhiyong and Sun, Ming-Ting; [pdf]
[bibtex]
@InProceedings{Lu_2018_ECCV,
author = {Lu, Guo and Ouyang, Wanli and Xu, Dong and Zhang, Xiaoyun and Gao, Zhiyong and Sun, Ming-Ting},
title = {Deep Kalman Filtering Network for Video Compression Artifact Reduction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model: Lathuiliere, Stephane and Mesejo, Pablo and Alameda-Pineda, Xavier and Horaud, Radu; [pdf]
[bibtex]
@InProceedings{Lathuiliere_2018_ECCV,
author = {Lathuiliere, Stephane and Mesejo, Pablo and Alameda-Pineda, Xavier and Horaud, Radu},
title = {DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ISNN: Impact Sound Neural Network for Audio-Visual Object Classification: Sterling, Auston and Wilson, Justin and Lowe, Sam and Lin, Ming C.; [pdf]
[bibtex]
@InProceedings{Sterling_2018_ECCV,
author = {Sterling, Auston and Wilson, Justin and Lowe, Sam and Lin, Ming C.},
title = {ISNN: Impact Sound Neural Network for Audio-Visual Object Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval: Chen, Jiaxin and Fang, Yi; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Jiaxin and Fang, Yi},
title = {Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Blend Photos: Hung, Wei-Chih and Zhang, Jianming and Shen, Xiaohui and Lin, Zhe and Lee, Joon-Young and Yang, Ming-Hsuan; [pdf]
[bibtex]
@InProceedings{Hung_2018_ECCV,
author = {Hung, Wei-Chih and Zhang, Jianming and Shen, Xiaohui and Lin, Zhe and Lee, Joon-Young and Yang, Ming-Hsuan},
title = {Learning to Blend Photos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Second-order Democratic Aggregation: Lin, Tsung-Yu and Maji, Subhransu and Koniusz, Piotr; [pdf]
[bibtex]
@InProceedings{Lin_2018_ECCV,
author = {Lin, Tsung-Yu and Maji, Subhransu and Koniusz, Piotr},
title = {Second-order Democratic Aggregation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recurrent Fusion Network for Image captioning: Jiang, Wenhao and Ma, Lin and Jiang, Yu-Gang and Liu, Wei and Zhang, Tong; [pdf]
[bibtex]
@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Wenhao and Ma, Lin and Jiang, Yu-Gang and Liu, Wei and Zhang, Tong},
title = {Recurrent Fusion Network for Image captioning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Grounding Visual Explanations: Anne Hendricks, Lisa and Hu, Ronghang and Darrell, Trevor and Akata, Zeynep; [pdf]
[bibtex]
@InProceedings{Hendricks_2018_ECCV,
author = {Anne Hendricks, Lisa and Hu, Ronghang and Darrell, Trevor and Akata, Zeynep},
title = {Grounding Visual Explanations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Dataset of Flash and Ambient Illumination Pairs from the Crowd: Aksoy, Yagiz and Kim, Changil and Kellnhofer, Petr and Paris, Sylvain and Elgharib, Mohamed and Pollefeys, Marc and Matusik, Wojciech; [pdf]
[bibtex]
@InProceedings{Aksoy_2018_ECCV,
author = {Aksoy, Yagiz and Kim, Changil and Kellnhofer, Petr and Paris, Sylvain and Elgharib, Mohamed and Pollefeys, Marc and Matusik, Wojciech},
title = {A Dataset of Flash and Ambient Illumination Pairs from the Crowd},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Continuous Fusion for Multi-Sensor 3D Object Detection: Liang, Ming and Yang, Bin and Wang, Shenlong and Urtasun, Raquel; [pdf]
[bibtex]
@InProceedings{Liang_2018_ECCV,
author = {Liang, Ming and Yang, Bin and Wang, Shenlong and Urtasun, Raquel},
title = {Deep Continuous Fusion for Multi-Sensor 3D Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization: Wu, Yue and Abd-Almageed, Wael and Natarajan, Prem; [pdf]
[bibtex]
@InProceedings{Wu_2018_ECCV,
author = {Wu, Yue and Abd-Almageed, Wael and Natarajan, Prem},
title = {BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Parallel Feature Pyramid Network for Object Detection: Kim, Seung-Wook and Kook, Hyong-Keun and Sun, Jee-Young and Kang, Mun-Cheon and Ko, Sung-Jea; [pdf]
[bibtex]
@InProceedings{Kim_2018_ECCV,
author = {Kim, Seung-Wook and Kook, Hyong-Keun and Sun, Jee-Young and Kang, Mun-Cheon and Ko, Sung-Jea},
title = {Parallel Feature Pyramid Network for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Region Features for Object Detection: Gu, Jiayuan and Hu, Han and Wang, Liwei and Wei, Yichen and Dai, Jifeng; [pdf]
[bibtex]
@InProceedings{Gu_2018_ECCV,
author = {Gu, Jiayuan and Hu, Han and Wang, Liwei and Wei, Yichen and Dai, Jifeng},
title = {Learning Region Features for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AMC: AutoML for Model Compression and Acceleration on Mobile Devices: He, Yihui and Lin, Ji and Liu, Zhijian and Wang, Hanrui and Li, Li-Jia and Han, Song; [pdf]
[bibtex]
@InProceedings{He_2018_ECCV,
author = {He, Yihui and Lin, Ji and Liu, Zhijian and Wang, Hanrui and Li, Li-Jia and Han, Song},
title = {AMC: AutoML for Model Compression and Acceleration on Mobile Devices},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction: Dong, Wei and Wang, Qiuyuan and Wang, Xin and Zha, Hongbin; [pdf]
[bibtex]
@InProceedings{Dong_2018_ECCV,
author = {Dong, Wei and Wang, Qiuyuan and Wang, Xin and Zha, Hongbin},
title = {PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation: Zhu, Xinge and Zhou, Hui and Yang, Ceyuan and Shi, Jianping and Lin, Dahua; [pdf]
[bibtex]
@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Xinge and Zhou, Hui and Yang, Ceyuan and Shi, Jianping and Lin, Dahua},
title = {Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Switchable Temporal Propagation Network: Liu, Sifei and Zhong, Guangyu and De Mello, Shalini and Gu, Jinwei and Jampani, Varun and Yang, Ming-Hsuan and Kautz, Jan; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Sifei and Zhong, Guangyu and De Mello, Shalini and Gu, Jinwei and Jampani, Varun and Yang, Ming-Hsuan and Kautz, Jan},
title = {Switchable Temporal Propagation Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Sampling Algebraic Varieties for Robust Camera Autocalibration: Pani Paudel, Danda and Van Gool, Luc; [pdf]
[bibtex]
@InProceedings{Paudel_2018_ECCV,
author = {Pani Paudel, Danda and Van Gool, Luc},
title = {Sampling Algebraic Varieties for Robust Camera Autocalibration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Reassembly Combining Deep Learning and Shortest Path Problem: Paumard, Marie-Morgane and Picard, David and Tabia, Hedi; [pdf]
[bibtex]
@InProceedings{Paumard_2018_ECCV,
author = {Paumard, Marie-Morgane and Picard, David and Tabia, Hedi},
title = {Image Reassembly Combining Deep Learning and Shortest Path Problem},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes: He, Yang and Schiele, Bernt and Fritz, Mario; [pdf]
[bibtex]
@InProceedings{He_2018_ECCV,
author = {He, Yang and Schiele, Bernt and Fritz, Mario},
title = {Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length: Probst, Thomas and Pani Paudel, Danda and Chhatkuli, Ajad and Van Gool, Luc; [pdf]
[bibtex]
@InProceedings{Probst_2018_ECCV,
author = {Probst, Thomas and Pani Paudel, Danda and Chhatkuli, Ajad and Van Gool, Luc},
title = {Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PS-FCN: A Flexible Learning Framework for Photometric Stereo: Chen, Guanying and Han, Kai and Wong, Kwan-Yee K.; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Guanying and Han, Kai and Wong, Kwan-Yee K.},
title = {PS-FCN: A Flexible Learning Framework for Photometric Stereo},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Instance-level Human Parsing via Part Grouping Network: Gong, Ke and Liang, Xiaodan and Li, Yicheng and Chen, Yimin and Yang, Ming and Lin, Liang; [pdf]
[bibtex]
@InProceedings{Gong_2018_ECCV,
author = {Gong, Ke and Liang, Xiaodan and Li, Yicheng and Chen, Yimin and Yang, Ming and Lin, Liang},
title = {Instance-level Human Parsing via Part Grouping Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Normalized Blind Deconvolution: Jin, Meiguang and Roth, Stefan and Favaro, Paolo; [pdf]
[bibtex]
@InProceedings{Jin_2018_ECCV,
author = {Jin, Meiguang and Roth, Stefan and Favaro, Paolo},
title = {Normalized Blind Deconvolution},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks: Li, Chong and Richard Shi, C. J.; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Chong and Richard Shi, C. J.},
title = {Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dense Pose Transfer: Neverova, Natalia and Alp Guler, Riza and Kokkinos, Iasonas; [pdf]
[bibtex]
@InProceedings{Neverova_2018_ECCV,
author = {Neverova, Natalia and Alp Guler, Riza and Kokkinos, Iasonas},
title = {Dense Pose Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RCAA: Relational Context-Aware Agents for Person Search: Chang, Xiaojun and Huang, Po-Yao and Shen, Yi-Dong and Liang, Xiaodan and Yang, Yi and Hauptmann, Alexander G.; [pdf]
[bibtex]
@InProceedings{Chang_2018_ECCV,
author = {Chang, Xiaojun and Huang, Po-Yao and Shen, Yi-Dong and Liang, Xiaodan and Yang, Yi and Hauptmann, Alexander G.},
title = {RCAA: Relational Context-Aware Agents for Person Search},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Discriminative Model for Video Classification: Tavakolian, Mohammad and Hadid, Abdenour; [pdf]
[bibtex]
@InProceedings{Tavakolian_2018_ECCV,
author = {Tavakolian, Mohammad and Hadid, Abdenour},
title = {Deep Discriminative Model for Video Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition: Engin, Melih and Wang, Lei and Zhou, Luping and Liu, Xinwang; [pdf]
[bibtex]
@InProceedings{Engin_2018_ECCV,
author = {Engin, Melih and Wang, Lei and Zhou, Luping and Liu, Xinwang},
title = {DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Pictorial Gaze Estimation: Park, Seonwook and Spurr, Adrian and Hilliges, Otmar; [pdf]
[bibtex]
@InProceedings{Park_2018_ECCV,
author = {Park, Seonwook and Spurr, Adrian and Hilliges, Otmar},
title = {Deep Pictorial Gaze Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CTAP: Complementary Temporal Action Proposal Generation: Gao, Jiyang and Chen, Kan and Nevatia, Ram; [pdf]
[bibtex]
@InProceedings{Gao_2018_ECCV,
author = {Gao, Jiyang and Chen, Kan and Nevatia, Ram},
title = {CTAP: Complementary Temporal Action Proposal Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Network Encapsulation: Li, Hongyang and Guo, Xiaoyang and DaiWanli Ouyang, Bo and Wang, Xiaogang; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Hongyang and Guo, Xiaoyang and DaiWanli Ouyang, Bo and Wang, Xiaogang},
title = {Neural Network Encapsulation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recovering 3D Planes from a Single Image via Convolutional Neural Networks: Yang, Fengting and Zhou, Zihan; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Fengting and Zhou, Zihan},
title = {Recovering 3D Planes from a Single Image via Convolutional Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dist-GAN: An Improved GAN using Distance Constraints: Tran, Ngoc-Trung and Bui, Tuan-Anh and Cheung, Ngai-Man; [pdf]
[bibtex]
@InProceedings{Tran_2018_ECCV,
author = {Tran, Ngoc-Trung and Bui, Tuan-Anh and Cheung, Ngai-Man},
title = {Dist-GAN: An Improved GAN using Distance Constraints},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Retrospective Encoders for Video Summarization: Zhang, Ke and Grauman, Kristen and Sha, Fei; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Ke and Grauman, Kristen and Sha, Fei},
title = {Retrospective Encoders for Video Summarization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Tracking Emerges by Colorizing Videos: Vondrick, Carl and Shrivastava, Abhinav and Fathi, Alireza and Guadarrama, Sergio and Murphy, Kevin; [pdf]
[bibtex]
@InProceedings{Vondrick_2018_ECCV,
author = {Vondrick, Carl and Shrivastava, Abhinav and Fathi, Alireza and Guadarrama, Sergio and Murphy, Kevin},
title = {Tracking Emerges by Colorizing Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Task-Aware Image Downscaling: Kim, Heewon and Choi, Myungsub and Lim, Bee and Mu Lee, Kyoung; [pdf]
[bibtex]
@InProceedings{Kim_2018_ECCV,
author = {Kim, Heewon and Choi, Myungsub and Lim, Bee and Mu Lee, Kyoung},
title = {Task-Aware Image Downscaling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Product Quantization Network for Fast Image Retrieval: Yu, Tan and Yuan, Junsong and Fang, Chen and Jin, Hailin; [pdf]
[bibtex]
@InProceedings{Yu_2018_ECCV,
author = {Yu, Tan and Yuan, Junsong and Fang, Chen and Jin, Hailin},
title = {Product Quantization Network for Fast Image Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Supervising the new with the old: learning SFM from SFM: Klodt, Maria and Vedaldi, Andrea; [pdf]
[bibtex]
@InProceedings{Klodt_2018_ECCV,
author = {Klodt, Maria and Vedaldi, Andrea},
title = {Supervising the new with the old: learning SFM from SFM},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline: Xu, Zhenbo and Yang, Wei and Meng, Ajin and Lu, Nanxue and Huang, Huan and Ying, Changchun and Huang, Liusheng; [pdf]
[bibtex]
@InProceedings{Xu_2018_ECCV,
author = {Xu, Zhenbo and Yang, Wei and Meng, Ajin and Lu, Nanxue and Huang, Huan and Ying, Changchun and Huang, Liusheng},
title = {Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions: Reddy Mopuri, Konda and Krishna Uppala, Phani and Venkatesh Babu, R.; [pdf]
[bibtex]
@InProceedings{Mopuri_2018_ECCV,
author = {Reddy Mopuri, Konda and Krishna Uppala, Phani and Venkatesh Babu, R.},
title = {Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Separating Reflection and Transmission Images in the Wild: Wieschollek, Patrick and Gallo, Orazio and Gu, Jinwei and Kautz, Jan; [pdf]
[bibtex]
@InProceedings{Wieschollek_2018_ECCV,
author = {Wieschollek, Patrick and Gallo, Orazio and Gu, Jinwei and Kautz, Jan},
title = {Separating Reflection and Transmission Images in the Wild},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hard-Aware Point-to-Set Deep Metric for Person Re-identification: Yu, Rui and Dou, Zhiyong and Bai, Song and Zhang, Zhaoxiang and Xu, Yongchao and Bai, Xiang; [pdf]
[bibtex]
@InProceedings{Yu_2018_ECCV,
author = {Yu, Rui and Dou, Zhiyong and Bai, Song and Zhang, Zhaoxiang and Xu, Yongchao and Bai, Xiang},
title = {Hard-Aware Point-to-Set Deep Metric for Person Re-identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Cross-Modal and Hierarchical Modeling of Video and Text: Zhang, Bowen and Hu, Hexiang and Sha, Fei; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Bowen and Hu, Hexiang and Sha, Fei},
title = {Cross-Modal and Hierarchical Modeling of Video and Text},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation: Zhou, Xingyi and Karpur, Arjun and Luo, Linjie and Huang, Qixing; [pdf]
[bibtex]
@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Xingyi and Karpur, Arjun and Luo, Linjie and Huang, Qixing},
title = {StarMap for Category-Agnostic Keypoint and Viewpoint Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization: Jakubovitz, Daniel and Giryes, Raja; [pdf]
[bibtex]
@InProceedings{Jakubovitz_2018_ECCV,
author = {Jakubovitz, Daniel and Giryes, Raja},
title = {Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RelocNet: Continuous Metric Learning Relocalisation using Neural Nets: Balntas, Vassileios and Li, Shuda and Prisacariu, Victor; [pdf]
[bibtex]
@InProceedings{Balntas_2018_ECCV,
author = {Balntas, Vassileios and Li, Shuda and Prisacariu, Victor},
title = {RelocNet: Continuous Metric Learning Relocalisation using Neural Nets},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification: Wang, Cheng and Zhang, Qian and Huang, Chang and Liu, Wenyu and Wang, Xinggang; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Cheng and Zhang, Qian and Huang, Chang and Liu, Wenyu and Wang, Xinggang},
title = {Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recurrent Tubelet Proposal and Recognition Networks for Action Detection: Li, Dong and Qiu, Zhaofan and Dai, Qi and Yao, Ting and Mei, Tao; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Dong and Qiu, Zhaofan and Dai, Qi and Yao, Ting and Mei, Tao},
title = {Recurrent Tubelet Proposal and Recognition Networks for Action Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Estimating Depth from RGB and Sparse Sensing: Chen, Zhao and Badrinarayanan, Vijay and Drozdov, Gilad and Rabinovich, Andrew; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Zhao and Badrinarayanan, Vijay and Drozdov, Gilad and Rabinovich, Andrew},
title = {Estimating Depth from RGB and Sparse Sensing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Folded Recurrent Neural Networks for Future Video Prediction: Oliu, Marc and Selva, Javier and Escalera, Sergio; [pdf]
[bibtex]
@InProceedings{Oliu_2018_ECCV,
author = {Oliu, Marc and Selva, Javier and Escalera, Sergio},
title = {Folded Recurrent Neural Networks for Future Video Prediction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image: Huang, Siyuan and Qi, Siyuan and Zhu, Yixin and Xiao, Yinxue and Xu, Yuanlu and Zhu, Song-Chun; [pdf]
[bibtex]
@InProceedings{Huang_2018_ECCV,
author = {Huang, Siyuan and Qi, Siyuan and Zhu, Yixin and Xiao, Yinxue and Xu, Yuanlu and Zhu, Song-Chun},
title = {Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation: Zhang, Zhenyu and Cui, Zhen and Xu, Chunyan and Jie, Zequn and Li, Xiang and Yang, Jian; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Zhenyu and Cui, Zhen and Xu, Chunyan and Jie, Zequn and Li, Xiang and Yang, Jian},
title = {Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding: Hadji, Isma and Wildes, Richard P.; [pdf]
[bibtex]
@InProceedings{Hadji_2018_ECCV,
author = {Hadji, Isma and Wildes, Richard P.},
title = {A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compositing-aware Image Search: Zhao, Hengshuang and Shen, Xiaohui and Lin, Zhe and Sunkavalli, Kalyan and Price, Brian and Jia, Jiaya; [pdf]
[bibtex]
@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hengshuang and Shen, Xiaohui and Lin, Zhe and Sunkavalli, Kalyan and Price, Brian and Jia, Jiaya},
title = {Compositing-aware Image Search},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Extreme Network Compression via Filter Group Approximation: Peng, Bo and Tan, Wenming and Li, Zheyang and Zhang, Shun and Xie, Di and Pu, Shiliang; [pdf]
[bibtex]
@InProceedings{Peng_2018_ECCV,
author = {Peng, Bo and Tan, Wenming and Li, Zheyang and Zhang, Shun and Xie, Di and Pu, Shiliang},
title = {Extreme Network Compression via Filter Group Approximation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features: Owens, Andrew and Efros, Alexei A.; [pdf]
[bibtex]
@InProceedings{Owens_2018_ECCV,
author = {Owens, Andrew and Efros, Alexei A.},
title = {Audio-Visual Scene Analysis with Self-Supervised Multisensory Features},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation: Wang, Xin and Xiong, Wenhan and Wang, Hongmin and Yang Wang, William; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Xin and Xiong, Wenhan and Wang, Hongmin and Yang Wang, William},
title = {Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation: Maurer, Daniel and Marniok, Nico and Goldluecke, Bastian and Bruhn, Andres; [pdf]
[bibtex]
@InProceedings{Maurer_2018_ECCV,
author = {Maurer, Daniel and Marniok, Nico and Goldluecke, Bastian and Bruhn, Andres},
title = {Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design: Ma, Ningning and Zhang, Xiangyu and Zheng, Hai-Tao and Sun, Jian; [pdf]
[bibtex]
@InProceedings{Ma_2018_ECCV,
author = {Ma, Ningning and Zhang, Xiangyu and Zheng, Hai-Tao and Sun, Jian},
title = {ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attention-GAN for Object Transfiguration in Wild Images: Chen, Xinyuan and Xu, Chang and Yang, Xiaokang and Tao, Dacheng; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Xinyuan and Xu, Chang and Yang, Xiaokang and Tao, Dacheng},
title = {Attention-GAN for Object Transfiguration in Wild Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking: Yao, Yingjie and Wu, Xiaohe and Zhang, Lei and Shan, Shiguang and Zuo, Wangmeng; [pdf]
[bibtex]
@InProceedings{Yao_2018_ECCV,
author = {Yao, Yingjie and Wu, Xiaohe and Zhang, Lei and Shan, Shiguang and Zuo, Wangmeng},
title = {Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Lambda Twist: An Accurate Fast Robust Perspective Three Point (P3P) Solver: Persson, Mikael and Nordberg, Klas; [pdf]
[bibtex]
@InProceedings{Persson_2018_ECCV,
author = {Persson, Mikael and Nordberg, Klas},
title = {Lambda Twist: An Accurate Fast Robust Perspective Three Point (P3P) Solver},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction: Khamis, Sameh and Fanello, Sean and Rhemann, Christoph and Kowdle, Adarsh and Valentin, Julien and Izadi, Shahram; [pdf]
[bibtex]
@InProceedings{Khamis_2018_ECCV,
author = {Khamis, Sameh and Fanello, Sean and Rhemann, Christoph and Kowdle, Adarsh and Valentin, Julien and Izadi, Shahram},
title = {StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Robust Optical Flow in Rainy Scenes: Li, Ruoteng and Tan, Robby T. and Cheong, Loong-Fah; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Ruoteng and Tan, Robby T. and Cheong, Loong-Fah},
title = {Robust Optical Flow in Rainy Scenes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Scale Aggregation Network for Accurate and Efficient Crowd Counting: Cao, Xinkun and Wang, Zhipeng and Zhao, Yanyun and Su, Fei; [pdf]
[bibtex]
@InProceedings{Cao_2018_ECCV,
author = {Cao, Xinkun and Wang, Zhipeng and Zhao, Yanyun and Su, Fei},
title = {Scale Aggregation Network for Accurate and Efficient Crowd Counting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Feature Factorization For Concept Discovery: Collins, Edo and Achanta, Radhakrishna and Susstrunk, Sabine; [pdf]
[bibtex]
@InProceedings{Collins_2018_ECCV,
author = {Collins, Edo and Achanta, Radhakrishna and Susstrunk, Sabine},
title = {Deep Feature Factorization For Concept Discovery},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Object-centered image stitching: Herrmann, Charles and Wang, Chen and Strong Bowen, Richard and Keyder, Emil and Zabih, Ramin; [pdf]
[bibtex]
@InProceedings{Herrmann_2018_ECCV,
author = {Herrmann, Charles and Wang, Chen and Strong Bowen, Richard and Keyder, Emil and Zabih, Ramin},
title = {Object-centered image stitching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Style-Aware Content Loss for Real-time HD Style Transfer: Sanakoyeu, Artsiom and Kotovenko, Dmytro and Lang, Sabine and Ommer, Bjorn; [pdf]
[bibtex]
@InProceedings{Sanakoyeu_2018_ECCV,
author = {Sanakoyeu, Artsiom and Kotovenko, Dmytro and Lang, Sabine and Ommer, Bjorn},
title = {A Style-Aware Content Loss for Real-time HD Style Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining: Li, Xia and Wu, Jianlong and Lin, Zhouchen and Liu, Hong and Zha, Hongbin; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Xia and Wu, Jianlong and Lin, Zhouchen and Liu, Hong and Zha, Hongbin},
title = {Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Acquisition of Localization Confidence for Accurate Object Detection: Jiang, Borui and Luo, Ruixuan and Mao, Jiayuan and Xiao, Tete and Jiang, Yuning; [pdf]
[bibtex]
@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Borui and Luo, Ruixuan and Mao, Jiayuan and Xiao, Tete and Jiang, Yuning},
title = {Acquisition of Localization Confidence for Accurate Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network: Feng, Yao and Wu, Fan and Shao, Xiaohu and Wang, Yanfeng and Zhou, Xi; [pdf]
[bibtex]
@InProceedings{Feng_2018_ECCV,
author = {Feng, Yao and Wu, Fan and Shao, Xiaohu and Wang, Yanfeng and Zhou, Xi},
title = {Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground: Fan, Deng-Ping and Cheng, Ming-Ming and Liu, Jiang-Jiang and Gao, Shang-Hua and Hou, Qibin and Borji, Ali; [pdf]
[bibtex]
@InProceedings{Fan_2018_ECCV,
author = {Fan, Deng-Ping and Cheng, Ming-Ming and Liu, Jiang-Jiang and Gao, Shang-Hua and Hou, Qibin and Borji, Ali},
title = {Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multimodal Unsupervised Image-to-image Translation: Huang, Xun and Liu, Ming-Yu and Belongie, Serge and Kautz, Jan; [pdf]
[bibtex]
@InProceedings{Huang_2018_ECCV,
author = {Huang, Xun and Liu, Ming-Yu and Belongie, Serge and Kautz, Jan},
title = {Multimodal Unsupervised Image-to-image Translation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diverse feature visualizations reveal invariances in early layers of deep neural networks: Cadena, Santiago A. and Weis, Marissa A. and Gatys, Leon A. and Bethge, Matthias and Ecker, Alexander S.; [pdf]
[bibtex]
@InProceedings{Cadena_2018_ECCV,
author = {Cadena, Santiago A. and Weis, Marissa A. and Gatys, Leon A. and Bethge, Matthias and Ecker, Alexander S.},
title = {Diverse feature visualizations reveal invariances in early layers of deep neural networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
``Factual'' or ``Emotional'': Stylized Image Captioning with Adaptive Learning and Attention: Chen, Tianlang and Zhang, Zhongping and You, Quanzeng and Fang, Chen and Wang, Zhaowen and Jin, Hailin and Luo, Jiebo; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Tianlang and Zhang, Zhongping and You, Quanzeng and Fang, Chen and Wang, Zhaowen and Jin, Hailin and Luo, Jiebo},
title = {``Factual'' or ``Emotional'': Stylized Image Captioning with Adaptive Learning and Attention},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deblurring Natural Image Using Super-Gaussian Fields: Liu, Yuhang and Dong, Wenyong and Gong, Dong and Zhang, Lei and Shi, Qinfeng; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Yuhang and Dong, Wenyong and Gong, Dong and Zhang, Lei and Shi, Qinfeng},
title = {Deblurring Natural Image Using Super-Gaussian Fields},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dense Semantic and Topological Correspondence of 3D Faces without Landmarks: Fan, Zhenfeng and Hu, Xiyuan and Chen, Chen and Peng, Silong; [pdf]
[bibtex]
@InProceedings{Fan_2018_ECCV,
author = {Fan, Zhenfeng and Hu, Xiyuan and Chen, Chen and Peng, Silong},
title = {Dense Semantic and Topological Correspondence of 3D Faces without Landmarks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas: Zioulis, Nikolaos and Karakottas, Antonis and Zarpalas, Dimitrios and Daras, Petros; [pdf]
[bibtex]
@InProceedings{Zioulis_2018_ECCV,
author = {Zioulis, Nikolaos and Karakottas, Antonis and Zarpalas, Dimitrios and Daras, Petros},
title = {OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
On Regularized Losses for Weakly-supervised CNN Segmentation: Tang, Meng and Perazzi, Federico and Djelouah, Abdelaziz and Ben Ayed, Ismail and Schroers, Christopher and Boykov, Yuri; [pdf]
[bibtex]
@InProceedings{Tang_2018_ECCV,
author = {Tang, Meng and Perazzi, Federico and Djelouah, Abdelaziz and Ben Ayed, Ismail and Schroers, Christopher and Boykov, Yuri},
title = {On Regularized Losses for Weakly-supervised CNN Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Dynamic Memory Networks for Object Tracking: Yang, Tianyu and Chan, Antoni B.; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Tianyu and Chan, Antoni B.},
title = {Learning Dynamic Memory Networks for Object Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Zero-Shot Deep Domain Adaptation: Peng, Kuan-Chuan and Wu, Ziyan and Ernst, Jan; [pdf]
[bibtex]
@InProceedings{Peng_2018_ECCV,
author = {Peng, Kuan-Chuan and Wu, Ziyan and Ernst, Jan},
title = {Zero-Shot Deep Domain Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images: Coors, Benjamin and Paul Condurache, Alexandru and Geiger, Andreas; [pdf]
[bibtex]
@InProceedings{Coors_2018_ECCV,
author = {Coors, Benjamin and Paul Condurache, Alexandru and Geiger, Andreas},
title = {SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graininess-Aware Deep Feature Learning for Pedestrian Detection: Lin, Chunze and Lu, Jiwen and Wang, Gang and Zhou, Jie; [pdf]
[bibtex]
@InProceedings{Lin_2018_ECCV,
author = {Lin, Chunze and Lu, Jiwen and Wang, Gang and Zhou, Jie},
title = {Graininess-Aware Deep Feature Learning for Pedestrian Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation: Zhao, Long and Peng, Xi and Tian, Yu and Kapadia, Mubbasir and Metaxas, Dimitris; [pdf]
[bibtex]
@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Long and Peng, Xi and Tian, Yu and Kapadia, Mubbasir and Metaxas, Dimitris},
title = {Learning to Forecast and Refine Residual Motion for Image-to-Video Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ML-LocNet: Improving Object Localization with Multi-view Learning Network: Zhang, Xiaopeng and Yang, Yang and Feng, Jiashi; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Xiaopeng and Yang, Yang and Feng, Jiashi},
title = {ML-LocNet: Improving Object Localization with Multi-view Learning Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Statistically-motivated Second-order Pooling: Yu, Kaicheng and Salzmann, Mathieu; [pdf]
[bibtex]
@InProceedings{Yu_2018_ECCV,
author = {Yu, Kaicheng and Salzmann, Mathieu},
title = {Statistically-motivated Second-order Pooling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Generalization via Scalable Neighborhood Component Analysis: Wu, Zhirong and Efros, Alexei A. and Yu, Stella X.; [pdf]
[bibtex]
@InProceedings{Wu_2018_ECCV,
author = {Wu, Zhirong and Efros, Alexei A. and Yu, Stella X.},
title = {Improving Generalization via Scalable Neighborhood Component Analysis},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement: Gan, Yukang and Xu, Xiangyu and Sun, Wenxiu and Lin, Liang; [pdf]
[bibtex]
@InProceedings{Gan_2018_ECCV,
author = {Gan, Yukang and Xu, Xiangyu and Sun, Wenxiu and Lin, Liang},
title = {Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Anonymize Faces for Privacy Preserving Action Detection: Ren, Zhongzheng and Jae Lee, Yong and Ryoo, Michael S.; [pdf]
[bibtex]
@InProceedings{Ren_2018_ECCV,
author = {Ren, Zhongzheng and Jae Lee, Yong and Ryoo, Michael S.},
title = {Learning to Anonymize Faces for Privacy Preserving Action Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Distractor-aware Siamese Networks for Visual Object Tracking: Zhu, Zheng and Wang, Qiang and Li, Bo and Wu, Wei and Yan, Junjie and Hu, Weiming; [pdf]
[bibtex]
@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Zheng and Wang, Qiang and Li, Bo and Wu, Wei and Yan, Junjie and Hu, Weiming},
title = {Distractor-aware Siamese Networks for Visual Object Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Question Type Guided Attention in Visual Question Answering: Shi, Yang and Furlanello, Tommaso and Zha, Sheng and Anandkumar, Animashree; [pdf]
[bibtex]
@InProceedings{Shi_2018_ECCV,
author = {Shi, Yang and Furlanello, Tommaso and Zha, Sheng and Anandkumar, Animashree},
title = {Question Type Guided Attention in Visual Question Answering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Escaping from Collapsing Modes in a Constrained Space: Chang, Chia-Che and Hubert Lin, Chieh and Lee, Che-Rung and Juan, Da-Cheng and Wei, Wei and Chen, Hwann-Tzong; [pdf]
[bibtex]
@InProceedings{Chang_2018_ECCV,
author = {Chang, Chia-Che and Hubert Lin, Chieh and Lee, Che-Rung and Juan, Da-Cheng and Wei, Wei and Chen, Hwann-Tzong},
title = {Escaping from Collapsing Modes in a Constrained Space},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling: Santo, Hiroaki and Waechter, Michael and Samejima, Masaki and Sugano, Yusuke and Matsushita, Yasuyuki; [pdf]
[bibtex]
@InProceedings{Santo_2018_ECCV,
author = {Santo, Hiroaki and Waechter, Michael and Samejima, Masaki and Sugano, Yusuke and Matsushita, Yasuyuki},
title = {Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Bayesian Semantic Instance Segmentation in Open Set World: Pham, Trung and Kumar, Vijay B. G. and Do, Thanh-Toan and Carneiro, Gustavo and Reid, Ian; [pdf]
[bibtex]
@InProceedings{Pham_2018_ECCV,
author = {Pham, Trung and Kumar, Vijay B. G. and Do, Thanh-Toan and Carneiro, Gustavo and Reid, Ian},
title = {Bayesian Semantic Instance Segmentation in Open Set World},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning: Robert, Thomas and Thome, Nicolas and Cord, Matthieu; [pdf]
[bibtex]
@InProceedings{Robert_2018_ECCV,
author = {Robert, Thomas and Thome, Nicolas and Cord, Matthieu},
title = {HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow: Ilg, Eddy and Cicek, Ozgun and Galesso, Silvio and Klein, Aaron and Makansi, Osama and Hutter, Frank and Brox, Thomas; [pdf]
[bibtex]
@InProceedings{Ilg_2018_ECCV,
author = {Ilg, Eddy and Cicek, Ozgun and Galesso, Silvio and Klein, Aaron and Makansi, Osama and Hutter, Frank and Brox, Thomas},
title = {Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation: Wang, Chao and Zheng, Haiyong and Yu, Zhibin and Zheng, Ziqiang and Gu, Zhaorui and Zheng, Bing; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Chao and Zheng, Haiyong and Yu, Zhibin and Zheng, Ziqiang and Gu, Zhaorui and Zheng, Bing},
title = {Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Transductive Semi-Supervised Deep Learning using Min-Max Features: Shi, Weiwei and Gong, Yihong and Ding, Chris and MaXiaoyu Tao, Zhiheng and Zheng, Nanning; [pdf]
[bibtex]
@InProceedings{Shi_2018_ECCV,
author = {Shi, Weiwei and Gong, Yihong and Ding, Chris and MaXiaoyu Tao, Zhiheng and Zheng, Nanning},
title = {Transductive Semi-Supervised Deep Learning using Min-Max Features},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interpolating Convolutional Neural Networks Using Batch Normalization: Wesley Putra Data, Gratianus and Ngu, Kirjon and William Murray, David and Adrian Prisacariu, Victor; [pdf]
[bibtex]
@InProceedings{Data_2018_ECCV,
author = {Wesley Putra Data, Gratianus and Ngu, Kirjon and William Murray, David and Adrian Prisacariu, Victor},
title = {Interpolating Convolutional Neural Networks Using Batch Normalization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Blind Video Temporal Consistency: Lai, Wei-Sheng and Huang, Jia-Bin and Wang, Oliver and Shechtman, Eli and Yumer, Ersin and Yang, Ming-Hsuan; [pdf]
[bibtex]
@InProceedings{Lai_2018_ECCV,
author = {Lai, Wei-Sheng and Huang, Jia-Bin and Wang, Oliver and Shechtman, Eli and Yumer, Ersin and Yang, Ming-Hsuan},
title = {Learning Blind Video Temporal Consistency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition: Jiang, Huajie and Wang, Ruiping and Shan, Shiguang and Chen, Xilin; [pdf]
[bibtex]
@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Huajie and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
title = {Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fine-grained Video Categorization with Redundancy Reduction Attention: Zhu, Chen and Tan, Xiao and Zhou, Feng and Liu, Xiao and Yue, Kaiyu and Ding, Errui and Ma, Yi; [pdf]
[bibtex]
@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Chen and Tan, Xiao and Zhou, Feng and Liu, Xiao and Yue, Kaiyu and Ding, Errui and Ma, Yi},
title = {Fine-grained Video Categorization with Redundancy Reduction Attention},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Object Detection in Video with Spatiotemporal Sampling Networks: Bertasius, Gedas and Torresani, Lorenzo and Shi, Jianbo; [pdf]
[bibtex]
@InProceedings{Bertasius_2018_ECCV,
author = {Bertasius, Gedas and Torresani, Lorenzo and Shi, Jianbo},
title = {Object Detection in Video with Spatiotemporal Sampling Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graph Distillation for Action Detection with Privileged Modalities: Luo, Zelun and Hsieh, Jun-Ting and Jiang, Lu and Niebles, Juan Carlos and Fei-Fei, Li; [pdf]
[bibtex]
@InProceedings{Luo_2018_ECCV,
author = {Luo, Zelun and Hsieh, Jun-Ting and Jiang, Lu and Niebles, Juan Carlos and Fei-Fei, Li},
title = {Graph Distillation for Action Detection with Privileged Modalities},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient Uncertainty Estimation for Semantic Segmentation in Videos: Huang, Po-Yu and Hsu, Wan-Ting and Chiu, Chun-Yueh and Wu, Ting-Fan and Sun, Min; [pdf]
[bibtex]
@InProceedings{Huang_2018_ECCV,
author = {Huang, Po-Yu and Hsu, Wan-Ting and Chiu, Chun-Yueh and Wu, Ting-Fan and Sun, Min},
title = {Efficient Uncertainty Estimation for Semantic Segmentation in Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Saliency Preservation in Low-Resolution Grayscale Images: Yohanandan, Shivanthan and Song, Andy and Dyer, Adrian G. and Tao, Dacheng; [pdf]
[bibtex]
@InProceedings{Yohanandan_2018_ECCV,
author = {Yohanandan, Shivanthan and Song, Andy and Dyer, Adrian G. and Tao, Dacheng},
title = {Saliency Preservation in Low-Resolution Grayscale Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Polarimetric Three-View Geometry: Chen, Lixiong and Zheng, Yinqiang and Subpa-asa, Art and Sato, Imari; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Lixiong and Zheng, Yinqiang and Subpa-asa, Art and Sato, Imari},
title = {Polarimetric Three-View Geometry},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Imbalanced Attribute Classification using Visual Attention Aggregation: Sarafianos, Nikolaos and Xu, Xiang and Kakadiaris, Ioannis A.; [pdf]
[bibtex]
@InProceedings{Sarafianos_2018_ECCV,
author = {Sarafianos, Nikolaos and Xu, Xiang and Kakadiaris, Ioannis A.},
title = {Deep Imbalanced Attribute Classification using Visual Attention Aggregation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Adding Attentiveness to the Neurons in Recurrent Neural Networks: Zhang, Pengfei and Xue, Jianru and Lan, Cuiling and Zeng, Wenjun and Gao, Zhanning and Zheng, Nanning; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Pengfei and Xue, Jianru and Lan, Cuiling and Zeng, Wenjun and Gao, Zhanning and Zheng, Nanning},
title = {Adding Attentiveness to the Neurons in Recurrent Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal: Yang, Jie and Gong, Dong and Liu, Lingqiao and Shi, Qinfeng; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Jie and Gong, Dong and Liu, Lingqiao and Shi, Qinfeng},
title = {Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction: Polic, Michal and Forstner, Wolfgang and Pajdla, Tomas; [pdf]
[bibtex]
@InProceedings{Polic_2018_ECCV,
author = {Polic, Michal and Forstner, Wolfgang and Pajdla, Tomas},
title = {Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries: Margffoy-Tuay, Edgar and Perez, Juan C. and Botero, Emilio and Arbelaez, Pablo; [pdf]
[bibtex]
@InProceedings{Margffoy-Tuay_2018_ECCV,
author = {Margffoy-Tuay, Edgar and Perez, Juan C. and Botero, Emilio and Arbelaez, Pablo},
title = {Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning SO(3) Equivariant Representations with Spherical CNNs: Esteves, Carlos and Allen-Blanchette, Christine and Makadia, Ameesh and Daniilidis, Kostas; [pdf]
[bibtex]
@InProceedings{Esteves_2018_ECCV,
author = {Esteves, Carlos and Allen-Blanchette, Christine and Makadia, Ameesh and Daniilidis, Kostas},
title = {Learning SO(3) Equivariant Representations with Spherical CNNs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers: Vyas, Apoorv and Jammalamadaka, Nataraj and Zhu, Xia and Das, Dipankar and Kaul, Bharat and Willke, Theodore L.; [pdf]
[bibtex]
@InProceedings{Vyas_2018_ECCV,
author = {Vyas, Apoorv and Jammalamadaka, Nataraj and Zhu, Xia and Das, Dipankar and Kaul, Bharat and Willke, Theodore L.},
title = {Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification: Du, Yang and Yuan, Chunfeng and Li, Bing and Zhao, Lili and Li, Yangxi and Hu, Weiming; [pdf]
[bibtex]
@InProceedings{Du_2018_ECCV,
author = {Du, Yang and Yuan, Chunfeng and Li, Bing and Zhao, Lili and Li, Yangxi and Hu, Weiming},
title = {Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks: Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei; [pdf]
[bibtex]
@InProceedings{Zheng_2018_ECCV,
author = {Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei},
title = {T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Object Detection with an Aligned Spatial-Temporal Memory: Xiao, Fanyi and Jae Lee, Yong; [pdf]
[bibtex]
@InProceedings{Xiao_2018_ECCV,
author = {Xiao, Fanyi and Jae Lee, Yong},
title = {Video Object Detection with an Aligned Spatial-Temporal Memory},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering: Li, Zhengqi and Snavely, Noah; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Zhengqi and Snavely, Noah},
title = {CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Partial Adversarial Domain Adaptation: Cao, Zhangjie and Ma, Lijia and Long, Mingsheng and Wang, Jianmin; [pdf]
[bibtex]
@InProceedings{Cao_2018_ECCV,
author = {Cao, Zhangjie and Ma, Lijia and Long, Mingsheng and Wang, Jianmin},
title = {Partial Adversarial Domain Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diverse and Coherent Paragraph Generation from Images: Chatterjee, Moitreya and Schwing, Alexander G.; [pdf]
[bibtex]
@InProceedings{Chatterjee_2018_ECCV,
author = {Chatterjee, Moitreya and Schwing, Alexander G.},
title = {Diverse and Coherent Paragraph Generation from Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Diverse Image-to-Image Translation via Disentangled Representations: Lee, Hsin-Ying and Tseng, Hung-Yu and Huang, Jia-Bin and Singh, Maneesh and Yang, Ming-Hsuan; [pdf]
[bibtex]
@InProceedings{Lee_2018_ECCV,
author = {Lee, Hsin-Ying and Tseng, Hung-Yu and Huang, Jia-Bin and Singh, Maneesh and Yang, Ming-Hsuan},
title = {Diverse Image-to-Image Translation via Disentangled Representations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BOP: Benchmark for 6D Object Pose Estimation: Hodan, Tomas and Michel, Frank and Brachmann, Eric and Kehl, Wadim and GlentBuch, Anders and Kraft, Dirk and Drost, Bertram and Vidal, Joel and Ihrke, Stephan and Zabulis, Xenophon and Sahin, Caner and Manhardt, Fabian and Tombari, Federico and Kim, Tae-Kyun and Matas, Jiri and Rother, Carsten; [pdf]
[bibtex]
@InProceedings{Hodan_2018_ECCV,
author = {Hodan, Tomas and Michel, Frank and Brachmann, Eric and Kehl, Wadim and GlentBuch, Anders and Kraft, Dirk and Drost, Bertram and Vidal, Joel and Ihrke, Stephan and Zabulis, Xenophon and Sahin, Caner and Manhardt, Fabian and Tombari, Federico and Kim, Tae-Kyun and Matas, Jiri and Rother, Carsten},
title = {BOP: Benchmark for 6D Object Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval: Zhang, Jingyi and Shen, Fumin and Liu, Li and Zhu, Fan and Yu, Mengyang and Shao, Ling and Tao Shen, Heng and Van Gool, Luc; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Jingyi and Shen, Fumin and Liu, Li and Zhu, Fan and Yu, Mengyang and Shao, Ling and Tao Shen, Heng and Van Gool, Luc},
title = {Generative Domain-Migration Hashing for Sketch-to-Image Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing: Zampieri, Armand and Charpiat, Guillaume and Girard, Nicolas and Tarabalka, Yuliya; [pdf]
[bibtex]
@InProceedings{Zampieri_2018_ECCV,
author = {Zampieri, Armand and Charpiat, Guillaume and Girard, Nicolas and Tarabalka, Yuliya},
title = {Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans: Liu, Chen and Wu, Jiaye and Furukawa, Yasutaka; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Chen and Wu, Jiaye and Furukawa, Yasutaka},
title = {FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Hard Example Mining from Videos for Improved Object Detection: Jin, SouYoung and RoyChowdhury, Aruni and Jiang, Huaizu and Singh, Ashish and Prasad, Aditya and Chakraborty, Deep and Learned-Miller, Erik; [pdf]
[bibtex]
@InProceedings{Jin_2018_ECCV,
author = {Jin, SouYoung and RoyChowdhury, Aruni and Jiang, Huaizu and Singh, Ashish and Prasad, Aditya and Chakraborty, Deep and Learned-Miller, Erik},
title = {Unsupervised Hard Example Mining from Videos for Improved Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment: Valle, Roberto and Buenaposada, Jose M. and Valdes, Antonio and Baumela, Luis; [pdf]
[bibtex]
@InProceedings{Valle_2018_ECCV,
author = {Valle, Roberto and Buenaposada, Jose M. and Valdes, Antonio and Baumela, Luis},
title = {A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Transferring GANs: generating images from limited data: Wang, Yaxing and Wu, Chenshen and Herranz, Luis and van de Weijer, Joost and Gonzalez-Garcia, Abel and Raducanu, Bogdan; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Yaxing and Wu, Chenshen and Herranz, Luis and van de Weijer, Joost and Gonzalez-Garcia, Abel and Raducanu, Bogdan},
title = {Transferring GANs: generating images from limited data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking: Li, Chenglong and Zhu, Chengli and Huang, Yan and Tang, Jin and Wang, Liang; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Chenglong and Zhu, Chengli and Huang, Yan and Tang, Jin and Wang, Liang},
title = {Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Broadcasting Convolutional Network for Visual Relational Reasoning: Chang, Simyung and Yang, John and Park, SeongUk and Kwak, Nojun; [pdf]
[bibtex]
@InProceedings{Chang_2018_ECCV,
author = {Chang, Simyung and Yang, John and Park, SeongUk and Kwak, Nojun},
title = {Broadcasting Convolutional Network for Visual Relational Reasoning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency: Zou, Yuliang and Luo, Zelun and Huang, Jia-Bin; [pdf]
[bibtex]
@InProceedings{Zou_2018_ECCV,
author = {Zou, Yuliang and Luo, Zelun and Huang, Jia-Bin},
title = {DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
K-convexity shape priors for segmentation: Isack, Hossam and Gorelick, Lena and Ng, Karin and Veksler, Olga and Boykov, Yuri; [pdf]
[bibtex]
@InProceedings{Isack_2018_ECCV,
author = {Isack, Hossam and Gorelick, Lena and Ng, Karin and Veksler, Olga and Boykov, Yuri},
title = {K-convexity shape priors for segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data: Zhang, Yabin and Tang, Hui and Jia, Kui; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yabin and Tang, Hui and Jia, Kui},
title = {Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition: Yu, Chaojian and Zhao, Xinyi and Zheng, Qi and Zhang, Peng and You, Xinge; [pdf]
[bibtex]
@InProceedings{Yu_2018_ECCV,
author = {Yu, Chaojian and Zhao, Xinyi and Zheng, Qi and Zhang, Peng and You, Xinge},
title = {Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unpaired Image Captioning by Language Pivoting: Gu, Jiuxiang and Joty, Shafiq and Cai, Jianfei and Wang, Gang; [pdf]
[bibtex]
@InProceedings{Gu_2018_ECCV,
author = {Gu, Jiuxiang and Joty, Shafiq and Cai, Jianfei and Wang, Gang},
title = {Unpaired Image Captioning by Language Pivoting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Face De-Spoofing: Anti-Spoofing via Noise Modeling: Jourabloo, Amin and Liu, Yaojie and Liu, Xiaoming; [pdf]
[bibtex]
@InProceedings{Jourabloo_2018_ECCV,
author = {Jourabloo, Amin and Liu, Yaojie and Liu, Xiaoming},
title = {Face De-Spoofing: Anti-Spoofing via Noise Modeling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation: Rhodin, Helge and Salzmann, Mathieu and Fua, Pascal; [pdf]
[bibtex]
@InProceedings{Rhodin_2018_ECCV,
author = {Rhodin, Helge and Salzmann, Mathieu and Fua, Pascal},
title = {Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Comparator Networks: Xie, Weidi and Shen, Li and Zisserman, Andrew; [pdf]
[bibtex]
@InProceedings{Xie_2018_ECCV,
author = {Xie, Weidi and Shen, Li and Zisserman, Andrew},
title = {Comparator Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Quaternion Convolutional Neural Networks: Zhu, Xuanyu and Xu, Yi and Xu, Hongteng and Chen, Changjian; [pdf]
[bibtex]
@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Xuanyu and Xu, Yi and Xu, Hongteng and Chen, Changjian},
title = {Quaternion Convolutional Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Priors for Semantic 3D Reconstruction: Cherabier, Ian and Schonberger, Johannes L. and Oswald, Martin R. and Pollefeys, Marc and Geiger, Andreas; [pdf]
[bibtex]
@InProceedings{Cherabier_2018_ECCV,
author = {Cherabier, Ian and Schonberger, Johannes L. and Oswald, Martin R. and Pollefeys, Marc and Geiger, Andreas},
title = {Learning Priors for Semantic 3D Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Map and Symmetry Synchronization: Sun, Yifan and Liang, Zhenxiao and Huang, Xiangru and Huang, Qixing; [pdf]
[bibtex]
@InProceedings{Sun_2018_ECCV,
author = {Sun, Yifan and Liang, Zhenxiao and Huang, Xiangru and Huang, Qixing},
title = {Joint Map and Symmetry Synchronization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Start, Follow, Read: End-to-End Full-Page Handwriting Recognition: Wigington, Curtis and Tensmeyer, Chris and Davis, Brian and Barrett, William and Price, Brian and Cohen, Scott; [pdf]
[bibtex]
@InProceedings{Wigington_2018_ECCV,
author = {Wigington, Curtis and Tensmeyer, Chris and Davis, Brian and Barrett, William and Price, Brian and Cohen, Scott},
title = {Start, Follow, Read: End-to-End Full-Page Handwriting Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Reverse Attention for Salient Object Detection: Chen, Shuhan and Tan, Xiuli and Wang, Ben and Hu, Xuelong; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Shuhan and Tan, Xiuli and Wang, Ben and Hu, Xuelong},
title = {Reverse Attention for Salient Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes: Long, Shangbang and Ruan, Jiaqiang and Zhang, Wenjie and He, Xin and Wu, Wenhao and Yao, Cong; [pdf]
[bibtex]
@InProceedings{Long_2018_ECCV,
author = {Long, Shangbang and Ruan, Jiaqiang and Zhang, Wenjie and He, Xin and Wu, Wenhao and Yao, Cong},
title = {TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Linear Span Network for Object Skeleton Detection: Liu, Chang and Ke, Wei and Qin, Fei and Ye, Qixiang; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Chang and Ke, Wei and Qin, Fei and Ye, Qixiang},
title = {Linear Span Network for Object Skeleton Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Efficient Relative Attribute Learning using Graph Neural Networks: Meng, Zihang and Adluru, Nagesh and Kim, Hyunwoo J. and Fung, Glenn and Singh, Vikas; [pdf]
[bibtex]
@InProceedings{Meng_2018_ECCV,
author = {Meng, Zihang and Adluru, Nagesh and Kim, Hyunwoo J. and Fung, Glenn and Singh, Vikas},
title = {Efficient Relative Attribute Learning using Graph Neural Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Model-free Consensus Maximization for Non-Rigid Shapes: Probst, Thomas and Chhatkuli, Ajad and Pani Paudel, Danda and Van Gool, Luc; [pdf]
[bibtex]
@InProceedings{Probst_2018_ECCV,
author = {Probst, Thomas and Chhatkuli, Ajad and Pani Paudel, Danda and Van Gool, Luc},
title = {Model-free Consensus Maximization for Non-Rigid Shapes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
U-PC: Unsupervised Planogram Compliance: Ray, Archan and Kumar, Nishant and Shaw, Avishek and Prasad Mukherjee, Dipti; [pdf]
[bibtex]
@InProceedings{Ray_2018_ECCV,
author = {Ray, Archan and Kumar, Nishant and Shaw, Avishek and Prasad Mukherjee, Dipti},
title = {U-PC: Unsupervised Planogram Compliance},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Predicting Future Instance Segmentation by Forecasting Convolutional Features: Luc, Pauline and Couprie, Camille and LeCun, Yann and Verbeek, Jakob; [pdf]
[bibtex]
@InProceedings{Luc_2018_ECCV,
author = {Luc, Pauline and Couprie, Camille and LeCun, Yann and Verbeek, Jakob},
title = {Predicting Future Instance Segmentation by Forecasting Convolutional Features},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Search by Multi-Scale Matching: Lan, Xu and Zhu, Xiatian and Gong, Shaogang; [pdf]
[bibtex]
@InProceedings{Lan_2018_ECCV,
author = {Lan, Xu and Zhu, Xiatian and Gong, Shaogang},
title = {Person Search by Multi-Scale Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Flow-Grounded Spatial-Temporal Video Prediction from Still Images: Li, Yijun and Fang, Chen and Yang, Jimei and Wang, Zhaowen and Lu, Xin and Yang, Ming-Hsuan; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Yijun and Fang, Chen and Yang, Jimei and Wang, Zhaowen and Lu, Xin and Yang, Ming-Hsuan},
title = {Flow-Grounded Spatial-Temporal Video Prediction from Still Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Liquid Pouring Monitoring via Rich Sensory Inputs: Wu, Tz-Ying and Lin, Juan-Ting and Wang, Tsun-Hsuang and Hu, Chan-Wei and Niebles, Juan Carlos and Sun, Min; [pdf]
[bibtex]
@InProceedings{Wu_2018_ECCV,
author = {Wu, Tz-Ying and Lin, Juan-Ting and Wang, Tsun-Hsuang and Hu, Chan-Wei and Niebles, Juan Carlos and Sun, Min},
title = {Liquid Pouring Monitoring via Rich Sensory Inputs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Exploiting temporal information for 3D human pose estimation: Rayat Imtiaz Hossain, Mir and Little, James J.; [pdf]
[bibtex]
@InProceedings{Hossain_2018_ECCV,
author = {Rayat Imtiaz Hossain, Mir and Little, James J.},
title = {Exploiting temporal information for 3D human pose estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization: Hsu, Kuang-Jui and Tsai, Chung-Chi and Lin, Yen-Yu and Qian, Xiaoning and Chuang, Yung-Yu; [pdf]
[bibtex]
@InProceedings{Hsu_2018_ECCV,
author = {Hsu, Kuang-Jui and Tsai, Chung-Chi and Lin, Yen-Yu and Qian, Xiaoning and Chuang, Yung-Yu},
title = {Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Localization Recall Precision (LRP): A New Performance Metric for Object Detection: Oksuz, Kemal and Can Cam, Baris and Akbas, Emre and Kalkan, Sinan; [pdf]
[bibtex]
@InProceedings{Oksuz_2018_ECCV,
author = {Oksuz, Kemal and Can Cam, Baris and Akbas, Emre and Kalkan, Sinan},
title = {Localization Recall Precision (LRP): A New Performance Metric for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attentive Semantic Alignment with Offset-Aware Correlation Kernels: Hongsuck Seo, Paul and Lee, Jongmin and Jung, Deunsol and Han, Bohyung and Cho, Minsu; [pdf]
[bibtex]
@InProceedings{Seo_2018_ECCV,
author = {Hongsuck Seo, Paul and Lee, Jongmin and Jung, Deunsol and Han, Bohyung and Cho, Minsu},
title = {Attentive Semantic Alignment with Offset-Aware Correlation Kernels},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning 3D Human Pose from Structure and Motion: Dabral, Rishabh and Mundhada, Anurag and Kusupati, Uday and Afaque, Safeer and Sharma, Abhishek and Jain, Arjun; [pdf]
[bibtex]
@InProceedings{Dabral_2018_ECCV,
author = {Dabral, Rishabh and Mundhada, Anurag and Kusupati, Uday and Afaque, Safeer and Sharma, Abhishek and Jain, Arjun},
title = {Learning 3D Human Pose from Structure and Motion},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks: Qiu, Qiang and Lezama, Jose and Bronstein, Alex and Sapiro, Guillermo; [pdf]
[bibtex]
@InProceedings{Qiu_2018_ECCV,
author = {Qiu, Qiang and Lezama, Jose and Bronstein, Alex and Sapiro, Guillermo},
title = {ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Online Detection of Action Start in Untrimmed, Streaming Videos: Shou, Zheng and Pan, Junting and Chan, Jonathan and Miyazawa, Kazuyuki and Mansour, Hassan and Vetro, Anthony and Giro-i-Nieto, Xavier and Chang, Shih-Fu; [pdf]
[bibtex]
@InProceedings{Shou_2018_ECCV,
author = {Shou, Zheng and Pan, Junting and Chan, Jonathan and Miyazawa, Kazuyuki and Mansour, Hassan and Vetro, Anthony and Giro-i-Nieto, Xavier and Chang, Shih-Fu},
title = {Online Detection of Action Start in Untrimmed, Streaming Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Exploring the Limits of Weakly Supervised Pretraining: Mahajan, Dhruv and Girshick, Ross and Ramanathan, Vignesh and He, Kaiming and Paluri, Manohar and Li, Yixuan and Bharambe, Ashwin and van der Maaten, Laurens; [pdf]
[bibtex]
@InProceedings{Mahajan_2018_ECCV,
author = {Mahajan, Dhruv and Girshick, Ross and Ramanathan, Vignesh and He, Kaiming and Paluri, Manohar and Li, Yixuan and Bharambe, Ashwin and van der Maaten, Laurens},
title = {Exploring the Limits of Weakly Supervised Pretraining},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN: Cheng, Bowen and Wei, Yunchao and Shi, Honghui and Feris, Rogerio and Xiong, Jinjun and Huang, Thomas; [pdf]
[bibtex]
@InProceedings{Cheng_2018_ECCV,
author = {Cheng, Bowen and Wei, Yunchao and Shi, Honghui and Feris, Rogerio and Xiong, Jinjun and Huang, Thomas},
title = {Revisiting RCNN: On Awakening the Classification Power of Faster RCNN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision: Wu, Xiaokun and Finnegan, Daniel and O'Neill, Eamonn and Yang, Yong-Liang; [pdf]
[bibtex]
@InProceedings{Wu_2018_ECCV,
author = {Wu, Xiaokun and Finnegan, Daniel and O'Neill, Eamonn and Yang, Yong-Liang},
title = {HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions: Janai, Joel and Guney, Fatma and Ranjan, Anurag and Black, Michael and Geiger, Andreas; [pdf]
[bibtex]
@InProceedings{Janai_2018_ECCV,
author = {Janai, Joel and Guney, Fatma and Ranjan, Anurag and Black, Michael and Geiger, Andreas},
title = {Unsupervised Learning of Multi-Frame Optical Flow with Occlusions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment: Ardeshir, Shervin and Borji, Ali; [pdf]
[bibtex]
@InProceedings{Ardeshir_2018_ECCV,
author = {Ardeshir, Shervin and Borji, Ali},
title = {Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Attribute-Guided Face Generation Using Conditional CycleGAN: Lu, Yongyi and Tai, Yu-Wing and Tang, Chi-Keung; [pdf]
[bibtex]
@InProceedings{Lu_2018_ECCV,
author = {Lu, Yongyi and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Attribute-Guided Face Generation Using Conditional CycleGAN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images: Tateno, Keisuke and Navab, Nassir and Tombari, Federico; [pdf]
[bibtex]
@InProceedings{Tateno_2018_ECCV,
author = {Tateno, Keisuke and Navab, Nassir and Tombari, Federico},
title = {Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery: Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua; [pdf]
[bibtex]
@InProceedings{Fu_2018_ECCV,
author = {Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua},
title = {Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement: Heo, Minhyeok and Lee, Jaehan and Kim, Kyung-Rae and Kim, Han-Ul and Kim, Chang-Su; [pdf]
[bibtex]
@InProceedings{Heo_2018_ECCV,
author = {Heo, Minhyeok and Lee, Jaehan and Kim, Kyung-Rae and Kim, Han-Ul and Kim, Chang-Su},
title = {Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Analyzing Clothing Layer Deformation Statistics of 3D Human Motions: Yang, Jinlong and Franco, Jean-Sebastien and Hetroy-Wheeler, Franck and Wuhrer, Stefanie; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Jinlong and Franco, Jean-Sebastien and Hetroy-Wheeler, Franck and Wuhrer, Stefanie},
title = {Analyzing Clothing Layer Deformation Statistics of 3D Human Motions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Super-Resolution Using Very Deep Residual Channel Attention Networks: Zhang, Yulun and Li, Kunpeng and Li, Kai and Wang, Lichen and Zhong, Bineng and Fu, Yun; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yulun and Li, Kunpeng and Li, Kai and Wang, Lichen and Zhong, Bineng and Fu, Yun},
title = {Image Super-Resolution Using Very Deep Residual Channel Attention Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-Supervised Generative Adversarial Hashing for Image Retrieval: Wang, Guan'an and Hu, Qinghao and Cheng, Jian and Hou, Zengguang; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Guan'an and Hu, Qinghao and Cheng, Jian and Hou, Zengguang},
title = {Semi-Supervised Generative Adversarial Hashing for Image Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Single-View 3D Reconstruction with Limited Pose Supervision: Yang, Guandao and Cui, Yin and Belongie, Serge and Hariharan, Bharath; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Guandao and Cui, Yin and Belongie, Serge and Hariharan, Bharath},
title = {Learning Single-View 3D Reconstruction with Limited Pose Supervision},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image: Li, Zhengqin and Sunkavalli, Kalyan and Chandraker, Manmohan; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Zhengqin and Sunkavalli, Kalyan and Chandraker, Manmohan},
title = {Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification: Wang, Yan and Xie, Lingxi and Qiao, Siyuan and Zhang, Ya and Zhang, Wenjun and Yuille, Alan L.; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Yan and Xie, Lingxi and Qiao, Siyuan and Zhang, Ya and Zhang, Wenjun and Yuille, Alan L.},
title = {Multi-Scale Spatially-Asymmetric Recalibration for Image Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation: Ding, Zhengming and Li, Sheng and Shao, Ming and Fu, Yun; [pdf]
[bibtex]
@InProceedings{Ding_2018_ECCV,
author = {Ding, Zhengming and Li, Sheng and Shao, Ming and Fu, Yun},
title = {Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Sequential Determinantal Point Processes for Supervised Video Summarization: Sharghi, Aidean and Borji, Ali and Li, Chengtao and Yang, Tianbao and Gong, Boqing; [pdf]
[bibtex]
@InProceedings{Sharghi_2018_ECCV,
author = {Sharghi, Aidean and Borji, Ali and Li, Chengtao and Yang, Tianbao and Gong, Boqing},
title = {Improving Sequential Determinantal Point Processes for Supervised Video Summarization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Specular-to-Diffuse Translation for Multi-View Reconstruction: Wu, Shihao and Huang, Hui and Portenier, Tiziano and Sela, Matan and Cohen-Or, Daniel and Kimmel, Ron and Zwicker, Matthias; [pdf]
[bibtex]
@InProceedings{Wu_2018_ECCV,
author = {Wu, Shihao and Huang, Hui and Portenier, Tiziano and Sela, Matan and Cohen-Or, Daniel and Kimmel, Ron and Zwicker, Matthias},
title = {Specular-to-Diffuse Translation for Multi-View Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
RESOUND: Towards Action Recognition without Representation Bias: Li, Yingwei and Li, Yi and Vasconcelos, Nuno; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Yingwei and Li, Yi and Vasconcelos, Nuno},
title = {RESOUND: Towards Action Recognition without Representation Bias},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Framework for Evaluating 6-DOF Object Trackers: Garon, Mathieu and Laurendeau, Denis and Lalonde, Jean-Francois; [pdf]
[bibtex]
@InProceedings{Garon_2018_ECCV,
author = {Garon, Mathieu and Laurendeau, Denis and Lalonde, Jean-Francois},
title = {A Framework for Evaluating 6-DOF Object Trackers},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Extending Layered Models to 3D Motion: Lao, Dong and Sundaramoorthi, Ganesh; [pdf]
[bibtex]
@InProceedings{Lao_2018_ECCV,
author = {Lao, Dong and Sundaramoorthi, Ganesh},
title = {Extending Layered Models to 3D Motion},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Long-term Tracking in the Wild: a Benchmark: Valmadre, Jack and Bertinetto, Luca and Henriques, Joao F. and Tao, Ran and Vedaldi, Andrea and Smeulders, Arnold W.M. and Torr, Philip H.S. and Gavves, Efstratios; [pdf]
[bibtex]
@InProceedings{Valmadre_2018_ECCV,
author = {Valmadre, Jack and Bertinetto, Luca and Henriques, Joao F. and Tao, Ran and Vedaldi, Andrea and Smeulders, Arnold W.M. and Torr, Philip H.S. and Gavves, Efstratios},
title = {Long-term Tracking in the Wild: a Benchmark},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Human Motion Analysis with Deep Metric Learning: Coskun, Huseyin and Joseph Tan, David and Conjeti, Sailesh and Navab, Nassir and Tombari, Federico; [pdf]
[bibtex]
@InProceedings{Coskun_2018_ECCV,
author = {Coskun, Huseyin and Joseph Tan, David and Conjeti, Sailesh and Navab, Nassir and Tombari, Federico},
title = {Human Motion Analysis with Deep Metric Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Adaptive Affinity Fields for Semantic Segmentation: Ke, Tsung-Wei and Hwang, Jyh-Jing and Liu, Ziwei and Yu, Stella X.; [pdf]
[bibtex]
@InProceedings{Ke_2018_ECCV,
author = {Ke, Tsung-Wei and Hwang, Jyh-Jing and Liu, Ziwei and Yu, Stella X.},
title = {Adaptive Affinity Fields for Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Hierarchy of Alternating Specialists for Scene Recognition: Jin Kim, Hyo and Frahm, Jan-Michael; [pdf]
[bibtex]
@InProceedings{Kim_2018_ECCV,
author = {Jin Kim, Hyo and Frahm, Jan-Michael},
title = {Hierarchy of Alternating Specialists for Scene Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-Scale Structure-Aware Network for Human Pose Estimation: Ke, Lipeng and Chang, Ming-Ching and Qi, Honggang and Lyu, Siwei; [pdf]
[bibtex]
@InProceedings{Ke_2018_ECCV,
author = {Ke, Lipeng and Chang, Ming-Ching and Qi, Honggang and Lyu, Siwei},
title = {Multi-Scale Structure-Aware Network for Human Pose Estimation },
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
License Plate Detection and Recognition in Unconstrained Scenarios: Montazzolli Silva, Sergio and Rosito Jung, Claudio; [pdf]
[bibtex]
@InProceedings{Silva_2018_ECCV,
author = {Montazzolli Silva, Sergio and Rosito Jung, Claudio},
title = {License Plate Detection and Recognition in Unconstrained Scenarios},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders: Felsen, Panna and Lucey, Patrick and Ganguly, Sujoy; [pdf]
[bibtex]
@InProceedings{Felsen_2018_ECCV,
author = {Felsen, Panna and Lucey, Patrick and Ganguly, Sujoy},
title = {Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States: Hu, Guosheng and Liu, Li and Yuan, Yang and Yu, Zehao and Hua, Yang and Zhang, Zhihong and Shen, Fumin and Shao, Ling and Hospedales, Timothy and Robertson, Neil and Yang, Yongxin; [pdf]
[bibtex]
@InProceedings{Hu_2018_ECCV,
author = {Hu, Guosheng and Liu, Li and Yuan, Yang and Yu, Zehao and Hua, Yang and Zhang, Zhihong and Shen, Fumin and Shao, Ling and Hospedales, Timothy and Robertson, Neil and Yang, Yongxin},
title = {Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction: Shi, Yifei and Xu, Kai and Niessner, Matthias and Rusinkiewicz, Szymon and Funkhouser, Thomas; [pdf]
[bibtex]
@InProceedings{Shi_2018_ECCV,
author = {Shi, Yifei and Xu, Kai and Niessner, Matthias and Rusinkiewicz, Szymon and Funkhouser, Thomas},
title = {PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors: Deng, Haowen and Birdal, Tolga and Ilic, Slobodan; [pdf]
[bibtex]
@InProceedings{Deng_2018_ECCV,
author = {Deng, Haowen and Birdal, Tolga and Ilic, Slobodan},
title = {PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
HBE: Hand Branch Ensemble Network for Real-time 3D Hand Pose Estimation: Zhou, Yidan and Lu, Jian and Du, Kuo and Lin, Xiangbo and Sun, Yi and Ma, Xiaohong; [pdf]
[bibtex]
@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Yidan and Lu, Jian and Du, Kuo and Lin, Xiangbo and Sun, Yi and Ma, Xiaohong},
title = {HBE: Hand Branch Ensemble Network for Real-time 3D Hand Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking: Groth, Oliver and Fuchs, Fabian B. and Posner, Ingmar and Vedaldi, Andrea; [pdf]
[bibtex]
@InProceedings{Groth_2018_ECCV,
author = {Groth, Oliver and Fuchs, Fabian B. and Posner, Ingmar and Vedaldi, Andrea},
title = {ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification: Wei, Xing and Zhang, Yue and Gong, Yihong and Zhang, Jiawei and Zheng, Nanning; [pdf]
[bibtex]
@InProceedings{Wei_2018_ECCV,
author = {Wei, Xing and Zhang, Yue and Gong, Yihong and Zhang, Jiawei and Zheng, Nanning},
title = {Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Generative Models for Weakly-Supervised Multi-Label Classification: Chu, Hong-Min and Yeh, Chih-Kuan and Frank Wang, Yu-Chiang; [pdf]
[bibtex]
@InProceedings{Chu_2018_ECCV,
author = {Chu, Hong-Min and Yeh, Chih-Kuan and Frank Wang, Yu-Chiang},
title = {Deep Generative Models for Weakly-Supervised Multi-Label Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation: Xu, Wenqiang and Li, Yonglu and Lu, Cewu; [pdf]
[bibtex]
@InProceedings{Xu_2018_ECCV,
author = {Xu, Wenqiang and Li, Yonglu and Lu, Cewu},
title = {SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models: Tourani, Siddharth and Shekhovtsov, Alexander and Rother, Carsten and Savchynskyy, Bogdan; [pdf]
[bibtex]
@InProceedings{Tourani_2018_ECCV,
author = {Tourani, Siddharth and Shekhovtsov, Alexander and Rother, Carsten and Savchynskyy, Bogdan},
title = {MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation: Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.; [pdf]
[bibtex]
@InProceedings{Hu_2018_ECCV,
author = {Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.},
title = {Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-Supervised Deep Learning with Memory: Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang},
title = {Semi-Supervised Deep Learning with Memory},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Reinforcement Learning with Iterative Shift for Visual Tracking: Ren, Liangliang and Yuan, Xin and Lu, Jiwen and Yang, Ming and Zhou, Jie; [pdf]
[bibtex]
@InProceedings{Ren_2018_ECCV,
author = {Ren, Liangliang and Yuan, Xin and Lu, Jiwen and Yang, Ming and Zhou, Jie},
title = {Deep Reinforcement Learning with Iterative Shift for Visual Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
X2Face: A network for controlling face generation using images, audio, and pose codes: Wiles, Olivia and Sophia Koepke, A. and Zisserman, Andrew; [pdf]
[bibtex]
@InProceedings{Wiles_2018_ECCV,
author = {Wiles, Olivia and Sophia Koepke, A. and Zisserman, Andrew},
title = {X2Face: A network for controlling face generation using images, audio, and pose codes},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Correcting the Triplet Selection Bias for Triplet Loss: Yu, Baosheng and Liu, Tongliang and Gong, Mingming and Ding, Changxing and Tao, Dacheng; [pdf]
[bibtex]
@InProceedings{Yu_2018_ECCV,
author = {Yu, Baosheng and Liu, Tongliang and Gong, Mingming and Ding, Changxing and Tao, Dacheng},
title = {Correcting the Triplet Selection Bias for Triplet Loss},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Women also Snowboard: Overcoming Bias in Captioning Models: Anne Hendricks, Lisa and Burns, Kaylee and Saenko, Kate and Darrell, Trevor and Rohrbach, Anna; [pdf]
[bibtex]
@InProceedings{Hendricks_2018_ECCV,
author = {Anne Hendricks, Lisa and Burns, Kaylee and Saenko, Kate and Darrell, Trevor and Rohrbach, Anna},
title = {Women also Snowboard: Overcoming Bias in Captioning Models},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction: Jiang, Li and Shi, Shaoshuai and Qi, Xiaojuan and Jia, Jiaya; [pdf]
[bibtex]
@InProceedings{Jiang_2018_ECCV,
author = {Jiang, Li and Shi, Shaoshuai and Qi, Xiaojuan and Jia, Jiaya},
title = {GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Contextual-based Image Inpainting: Infer, Match, and Translate: Song, Yuhang and Yang, Chao and Lin, Zhe and Liu, Xiaofeng and Huang, Qin and Li, Hao and Jay Kuo, C.-C.; [pdf]
[bibtex]
@InProceedings{Song_2018_ECCV,
author = {Song, Yuhang and Yang, Chao and Lin, Zhe and Liu, Xiaofeng and Huang, Qin and Li, Hao and Jay Kuo, C.-C.},
title = {Contextual-based Image Inpainting: Infer, Match, and Translate},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Inner Space Preserving Generative Pose Machine: Liu, Shuangjun and Ostadabbas, Sarah; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Shuangjun and Ostadabbas, Sarah},
title = {Inner Space Preserving Generative Pose Machine},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network: Bai, Yancheng and Zhang, Yongqiang and Ding, Mingli and Ghanem, Bernard; [pdf]
[bibtex]
@InProceedings{Bai_2018_ECCV,
author = {Bai, Yancheng and Zhang, Yongqiang and Ding, Mingli and Ghanem, Bernard},
title = {SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets: Liu, Xiaofeng and Vijaya Kumar, B.V.K and Yang, Chao and Tang, Qingming and You, Jane; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Xiaofeng and Vijaya Kumar, B.V.K and Yang, Chao and Tang, Qingming and You, Jane},
title = {Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN: Wang, Yunlong and Liu, Fei and Wang, Zilei and Hou, Guangqi and Sun, Zhenan and Tan, Tieniu; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Yunlong and Liu, Fei and Wang, Zilei and Hou, Guangqi and Sun, Zhenan and Tan, Tieniu},
title = {End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Iterative Crowd Counting: Ranjan, Viresh and Le, Hieu and Hoai, Minh; [pdf]
[bibtex]
@InProceedings{Ranjan_2018_ECCV,
author = {Ranjan, Viresh and Le, Hieu and Hoai, Minh},
title = {Iterative Crowd Counting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks: Chen, Weixuan and McDuff, Daniel; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Weixuan and McDuff, Daniel},
title = {DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
On the Solvability of Viewing Graphs: Trager, Matthew and Osserman, Brian and Ponce, Jean; [pdf]
[bibtex]
@InProceedings{Trager_2018_ECCV,
author = {Trager, Matthew and Osserman, Brian and Ponce, Jean},
title = {On the Solvability of Viewing Graphs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers: Zhang, Tianyun and Ye, Shaokai and Zhang, Kaiqi and Tang, Jian and Wen, Wujie and Fardad, Makan and Wang, Yanzhi; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Tianyun and Ye, Shaokai and Zhang, Kaiqi and Tang, Jian and Wen, Wujie and Fardad, Makan and Wang, Yanzhi},
title = {A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multimodal Dual Attention Memory for Video Story Question Answering: Kim, Kyung-Min and Choi, Seong-Ho and Kim, Jin-Hwa and Zhang, Byoung-Tak; [pdf]
[bibtex]
@InProceedings{Kim_2018_ECCV,
author = {Kim, Kyung-Min and Choi, Seong-Ho and Kim, Jin-Hwa and Zhang, Byoung-Tak},
title = {Multimodal Dual Attention Memory for Video Story Question Answering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection: Kim, Yonghyun and Kang, Bong-Nam and Kim, Daijin; [pdf]
[bibtex]
@InProceedings{Kim_2018_ECCV,
author = {Kim, Yonghyun and Kang, Bong-Nam and Kim, Daijin},
title = {SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Single Shot Scene Text Retrieval: Gomez, Lluis and Mafla, Andres and Rusinol, Marcal and Karatzas, Dimosthenis; [pdf]
[bibtex]
@InProceedings{Gomez_2018_ECCV,
author = {Gomez, Lluis and Mafla, Andres and Rusinol, Marcal and Karatzas, Dimosthenis},
title = {Single Shot Scene Text Retrieval},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Dynamic Task Prioritization for Multitask Learning: Guo, Michelle and Haque, Albert and Huang, De-An and Yeung, Serena and Fei-Fei, Li; [pdf]
[bibtex]
@InProceedings{Guo_2018_ECCV,
author = {Guo, Michelle and Haque, Albert and Huang, De-An and Yeung, Serena and Fei-Fei, Li},
title = {Dynamic Task Prioritization for Multitask Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Self-supervised Knowledge Distillation Using Singular Value Decomposition: Hyun Lee, Seung and Ha Kim, Dae and Cheol Song, Byung; [pdf]
[bibtex]
@InProceedings{Lee_2018_ECCV,
author = {Hyun Lee, Seung and Ha Kim, Dae and Cheol Song, Byung},
title = {Self-supervised Knowledge Distillation Using Singular Value Decomposition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Transductive Centroid Projection for Semi-supervised Large-scale Recognition: Liu, Yu and Song, Guanglu and Shao, Jing and Jin, Xiao and Wang, Xiaogang; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Yu and Song, Guanglu and Shao, Jing and Jin, Xiao and Wang, Xiaogang},
title = {Transductive Centroid Projection for Semi-supervised Large-scale Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Shape Matching: Radenovic, Filip and Tolias, Giorgos and Chum, Ondrej; [pdf]
[bibtex]
@InProceedings{Radenovic_2018_ECCV,
author = {Radenovic, Filip and Tolias, Giorgos and Chum, Ondrej},
title = {Deep Shape Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network: Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah; [pdf]
[bibtex]
@InProceedings{Ahn_2018_ECCV,
author = {Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah},
title = {Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving: Liang, Xiaodan and Wang, Tairui and Yang, Luona and Xing, Eric; [pdf]
[bibtex]
@InProceedings{Liang_2018_ECCV,
author = {Liang, Xiaodan and Wang, Tairui and Yang, Luona and Xing, Eric},
title = {CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
EC-Net: an Edge-aware Point set Consolidation Network: Yu, Lequan and Li, Xianzhi and Fu, Chi-Wing and Cohen-Or, Daniel and Heng, Pheng-Ann; [pdf]
[bibtex]
@InProceedings{Yu_2018_ECCV,
author = {Yu, Lequan and Li, Xianzhi and Fu, Chi-Wing and Cohen-Or, Daniel and Heng, Pheng-Ann},
title = {EC-Net: an Edge-aware Point set Consolidation Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Part-Activated Deep Reinforcement Learning for Action Prediction: Chen, Lei and Lu, Jiwen and Song, Zhanjie and Zhou, Jie; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Lei and Lu, Jiwen and Song, Zhanjie and Zhou, Jie},
title = {Part-Activated Deep Reinforcement Learning for Action Prediction},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Navigate for Fine-grained Classification: Yang, Ze and Luo, Tiange and Wang, Dong and Hu, Zhiqiang and Gao, Jun and Wang, Liwei; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Ze and Luo, Tiange and Wang, Dong and Hu, Zhiqiang and Gao, Jun and Wang, Liwei},
title = {Learning to Navigate for Fine-grained Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model: Guo, Jie and Zhou, Zuojian and Wang, Limin; [pdf]
[bibtex]
@InProceedings{Guo_2018_ECCV,
author = {Guo, Jie and Zhou, Zuojian and Wang, Limin},
title = {Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Shape Deformation in Unsupervised Image-to-Image Translation: Gokaslan, Aaron and Ramanujan, Vivek and Ritchie, Daniel and In Kim, Kwang and Tompkin, James; [pdf]
[bibtex]
@InProceedings{Gokaslan_2018_ECCV,
author = {Gokaslan, Aaron and Ramanujan, Vivek and Ritchie, Daniel and In Kim, Kwang and Tompkin, James},
title = {Improving Shape Deformation in Unsupervised Image-to-Image Translation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data: You, Chong and Li, Chi and Robinson, Daniel P. and Vidal, Rene; [pdf]
[bibtex]
@InProceedings{You_2018_ECCV,
author = {You, Chong and Li, Chi and Robinson, Daniel P. and Vidal, Rene},
title = {Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Ego-Pose Estimation via Imitation Learning: Yuan, Ye and Kitani, Kris; [pdf]
[bibtex]
@InProceedings{Yuan_2018_ECCV,
author = {Yuan, Ye and Kitani, Kris},
title = {3D Ego-Pose Estimation via Imitation Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual Coreference Resolution in Visual Dialog using Neural Module Networks: Kottur, Satwik and Moura, Jose M. F. and Parikh, Devi and Batra, Dhruv and Rohrbach, Marcus; [pdf]
[bibtex]
@InProceedings{Kottur_2018_ECCV,
author = {Kottur, Satwik and Moura, Jose M. F. and Parikh, Devi and Batra, Dhruv and Rohrbach, Marcus},
title = {Visual Coreference Resolution in Visual Dialog using Neural Module Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
LSQ++: Lower running time and higher recall in multi-codebook quantization: Martinez, Julieta and Zakhmi, Shobhit and Hoos, Holger H. and Little, James J.; [pdf]
[bibtex]
@InProceedings{Martinez_2018_ECCV,
author = {Martinez, Julieta and Zakhmi, Shobhit and Hoos, Holger H. and Little, James J.},
title = {LSQ++: Lower running time and higher recall in multi-codebook quantization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Hybrid Model for Identity Obfuscation by Face Replacement: Sun, Qianru and Tewari, Ayush and Xu, Weipeng and Fritz, Mario and Theobalt, Christian and Schiele, Bernt; [pdf]
[bibtex]
@InProceedings{Sun_2018_ECCV,
author = {Sun, Qianru and Tewari, Ayush and Xu, Weipeng and Fritz, Mario and Theobalt, Christian and Schiele, Bernt},
title = {A Hybrid Model for Identity Obfuscation by Face Replacement},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Depth-aware CNN for RGB-D Segmentation: Wang, Weiyue and Neumann, Ulrich; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Weiyue and Neumann, Ulrich},
title = {Depth-aware CNN for RGB-D Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation: Yu, Changqian and Wang, Jingbo and Peng, Chao and Gao, Changxin and Yu, Gang and Sang, Nong; [pdf]
[bibtex]
@InProceedings{Yu_2018_ECCV,
author = {Yu, Changqian and Wang, Jingbo and Peng, Chao and Gao, Changxin and Yu, Gang and Sang, Nong},
title = {BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems: Zhang, Yinda and Khamis, Sameh and Rhemann, Christoph and Valentin, Julien and Kowdle, Adarsh and Tankovich, Vladimir and Schoenberg, Michael and Izadi, Shahram and Funkhouser, Thomas and Fanello, Sean; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Yinda and Khamis, Sameh and Rhemann, Christoph and Valentin, Julien and Kowdle, Adarsh and Tankovich, Vladimir and Schoenberg, Michael and Izadi, Shahram and Funkhouser, Thomas and Fanello, Sean},
title = {ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly- and Semi-Supervised Panoptic Segmentation: Li, Qizhu and Arnab, Anurag and Torr, Philip H.S.; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Qizhu and Arnab, Anurag and Torr, Philip H.S.},
title = {Weakly- and Semi-Supervised Panoptic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Selfie Video Stabilization: Yu, Jiyang and Ramamoorthi, Ravi; [pdf]
[bibtex]
@InProceedings{Yu_2018_ECCV,
author = {Yu, Jiyang and Ramamoorthi, Ravi},
title = {Selfie Video Stabilization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network: Park, Jinseok and Cho, Donghyeon and Ahn, Wonhyuk and Lee, Heung-Kyu; [pdf]
[bibtex]
@InProceedings{Park_2018_ECCV,
author = {Park, Jinseok and Cho, Donghyeon and Ahn, Wonhyuk and Lee, Heung-Kyu},
title = {Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering: Yu, Tianshu and Yan, Junchi and Liu, Wei and Li, Baoxin; [pdf]
[bibtex]
@InProceedings{Yu_2018_ECCV,
author = {Yu, Tianshu and Yan, Junchi and Liu, Wei and Li, Baoxin},
title = {Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DeepTAM: Deep Tracking and Mapping: Zhou, Huizhong and Ummenhofer, Benjamin and Brox, Thomas; [pdf]
[bibtex]
@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Huizhong and Ummenhofer, Benjamin and Brox, Thomas},
title = {DeepTAM: Deep Tracking and Mapping},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting: Rhinehart, Nicholas and Kitani, Kris M. and Vernaza, Paul; [pdf]
[bibtex]
@InProceedings{Rhinehart_2018_ECCV,
author = {Rhinehart, Nicholas and Kitani, Kris M. and Vernaza, Paul},
title = {R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters: Xu, Yifan and Fan, Tianqi and Xu, Mingye and Zeng, Long and Qiao, Yu; [pdf]
[bibtex]
@InProceedings{Xu_2018_ECCV,
author = {Xu, Yifan and Fan, Tianqi and Xu, Mingye and Zeng, Long and Qiao, Yu},
title = {SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images: Guo, Sheng and Huang, Weilin and Zhang, Haozhi and Zhuang, Chenfan and Dong, Dengke and Scott, Matthew R. and Huang, Dinglong; [pdf]
[bibtex]
@InProceedings{Guo_2018_ECCV,
author = {Guo, Sheng and Huang, Weilin and Zhang, Haozhi and Zhuang, Chenfan and Dong, Dengke and Scott, Matthew R. and Huang, Dinglong},
title = {CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation: Ilg, Eddy and Saikia, Tonmoy and Keuper, Margret and Brox, Thomas; [pdf]
[bibtex]
@InProceedings{Ilg_2018_ECCV,
author = {Ilg, Eddy and Saikia, Tonmoy and Keuper, Margret and Brox, Thomas},
title = {Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Quantization Mimic: Towards Very Tiny CNN for Object Detection: Wei, Yi and Pan, Xinyu and Qin, Hongwei and Ouyang, Wanli and Yan, Junjie; [pdf]
[bibtex]
@InProceedings{Wei_2018_ECCV,
author = {Wei, Yi and Pan, Xinyu and Qin, Hongwei and Ouyang, Wanli and Yan, Junjie},
title = {Quantization Mimic: Towards Very Tiny CNN for Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation: Lv, Zhaoyang and Kim, Kihwan and Troccoli, Alejandro and Sun, Deqing and Rehg, James M. and Kautz, Jan; [pdf]
[bibtex]
@InProceedings{Lv_2018_ECCV,
author = {Lv, Zhaoyang and Kim, Kihwan and Troccoli, Alejandro and Sun, Deqing and Rehg, James M. and Kautz, Jan},
title = {Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing: Yang, Dong and Sun, Jian; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Dong and Sun, Jian},
title = {Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Textual Explanations for Self-Driving Vehicles: Kim, Jinkyu and Rohrbach, Anna and Darrell, Trevor and Canny, John and Akata, Zeynep; [pdf]
[bibtex]
@InProceedings{Kim_2018_ECCV,
author = {Kim, Jinkyu and Rohrbach, Anna and Darrell, Trevor and Canny, John and Akata, Zeynep},
title = {Textual Explanations for Self-Driving Vehicles},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation: Chen, Xuan and Hao Liew, Jun and Xiong, Wei and Chui, Chee-Kong and Ong, Sim-Heng; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Xuan and Hao Liew, Jun and Xiong, Wei and Chui, Chee-Kong and Ong, Sim-Heng},
title = {Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Local Orthogonal-Group Testing: Iscen, Ahmet and Chum, Ondrej; [pdf]
[bibtex]
@InProceedings{Iscen_2018_ECCV,
author = {Iscen, Ahmet and Chum, Ondrej},
title = {Local Orthogonal-Group Testing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency: Chong, Eunji and Ruiz, Nataniel and Wang, Yongxin and Zhang, Yun and Rozga, Agata and Rehg, James M.; [pdf]
[bibtex]
@InProceedings{Chong_2018_ECCV,
author = {Chong, Eunji and Ruiz, Nataniel and Wang, Yongxin and Zhang, Yun and Rozga, Agata and Rehg, James M.},
title = {Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data: Liu, Xihui and Li, Hongsheng and Shao, Jing and Chen, Dapeng and Wang, Xiaogang; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Xihui and Li, Hongsheng and Shao, Jing and Chen, Dapeng and Wang, Xiaogang},
title = {Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
VideoMatch: Matching based Video Object Segmentation: Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.; [pdf]
[bibtex]
@InProceedings{Hu_2018_ECCV,
author = {Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.},
title = {VideoMatch: Matching based Video Object Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Video Object Segmentation with Motion-based Bilateral Networks: Li, Siyang and Seybold, Bryan and Vorobyov, Alexey and Lei, Xuejing and Jay Kuo, C.-C.; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Siyang and Seybold, Bryan and Vorobyov, Alexey and Lei, Xuejing and Jay Kuo, C.-C.},
title = {Unsupervised Video Object Segmentation with Motion-based Bilateral Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints: Bullinger, Sebastian and Bodensteiner, Christoph and Arens, Michael and Stiefelhagen, Rainer; [pdf]
[bibtex]
@InProceedings{Bullinger_2018_ECCV,
author = {Bullinger, Sebastian and Bodensteiner, Christoph and Arens, Michael and Stiefelhagen, Rainer},
title = {3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features: Yang, Xu and Zhang, Hanwang and Cai, Jianfei; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Xu and Zhang, Hanwang and Cai, Jianfei},
title = {Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors: Baranchuk, Dmitry and Babenko, Artem and Malkov, Yury; [pdf]
[bibtex]
@InProceedings{Baranchuk_2018_ECCV,
author = {Baranchuk, Dmitry and Babenko, Artem and Malkov, Yury},
title = {Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery: Payen de La Garanderie, Greire and Atapour Abarghouei, Amir and Breckon, Toby P.; [pdf]
[bibtex]
@InProceedings{Garanderie_2018_ECCV,
author = {Payen de La Garanderie, Greire and Atapour Abarghouei, Amir and Breckon, Toby P.},
title = {Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Towards Realistic Predictors: Wang, Pei and Vasconcelos, Nuno; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Pei and Vasconcelos, Nuno},
title = {Towards Realistic Predictors},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Deep Representations with Probabilistic Knowledge Transfer: Passalis, Nikolaos and Tefas, Anastasios; [pdf]
[bibtex]
@InProceedings{Passalis_2018_ECCV,
author = {Passalis, Nikolaos and Tefas, Anastasios},
title = {Learning Deep Representations with Probabilistic Knowledge Transfer},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
DFT-based Transformation Invariant Pooling Layer for Visual Classification: Ryu, Jongbin and Yang, Ming-Hsuan and Lim, Jongwoo; [pdf]
[bibtex]
@InProceedings{Ryu_2018_ECCV,
author = {Ryu, Jongbin and Yang, Ming-Hsuan and Lim, Jongwoo},
title = {DFT-based Transformation Invariant Pooling Layer for Visual Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Objects that Sound: Arandjelovic, Relja and Zisserman, Andrew; [pdf]
[bibtex]
@InProceedings{Arandjelovic_2018_ECCV,
author = {Arandjelovic, Relja and Zisserman, Andrew},
title = {Objects that Sound},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
End-to-End Incremental Learning: Castro, Francisco M. and Marin-Jimenez, Manuel J. and Guil, Nicolas and Schmid, Cordelia and Alahari, Karteek; [pdf]
[bibtex]
@InProceedings{Castro_2018_ECCV,
author = {Castro, Francisco M. and Marin-Jimenez, Manuel J. and Guil, Nicolas and Schmid, Cordelia and Alahari, Karteek},
title = {End-to-End Incremental Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SaaS: Speed as a Supervisor for Semi-supervised Learning: Cicek, Safa and Fawzi, Alhussein and Soatto, Stefano; [pdf]
[bibtex]
@InProceedings{Cicek_2018_ECCV,
author = {Cicek, Safa and Fawzi, Alhussein and Soatto, Stefano},
title = {SaaS: Speed as a Supervisor for Semi-supervised Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network: Kim, Woojae and Kim, Jongyoo and Ahn, Sewoong and Kim, Jinwoo and Lee, Sanghoon; [pdf]
[bibtex]
@InProceedings{Kim_2018_ECCV,
author = {Kim, Woojae and Kim, Jongyoo and Ahn, Sewoong and Kim, Jinwoo and Lee, Sanghoon},
title = {Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering: Narasimhan, Medhini and Schwing, Alexander G.; [pdf]
[bibtex]
@InProceedings{Narasimhan_2018_ECCV,
author = {Narasimhan, Medhini and Schwing, Alexander G.},
title = {Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Volumetric Video From Very Sparse Multi-View Performance Capture: Huang, Zeng and Li, Tianye and Chen, Weikai and Zhao, Yajie and Xing, Jun and LeGendre, Chloe and Luo, Linjie and Ma, Chongyang and Li, Hao; [pdf]
[bibtex]
@InProceedings{Huang_2018_ECCV,
author = {Huang, Zeng and Li, Tianye and Chen, Weikai and Zhao, Yajie and Xing, Jun and LeGendre, Chloe and Luo, Linjie and Ma, Chongyang and Li, Hao},
title = {Deep Volumetric Video From Very Sparse Multi-View Performance Capture},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Neural Procedural Reconstruction for Residential Buildings: Zeng, Huayi and Wu, Jiaye and Furukawa, Yasutaka; [pdf]
[bibtex]
@InProceedings{Zeng_2018_ECCV,
author = {Zeng, Huayi and Wu, Jiaye and Furukawa, Yasutaka},
title = {Neural Procedural Reconstruction for Residential Buildings},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition: Weng, Junwu and Liu, Mengyuan and Jiang, Xudong and Yuan, Junsong; [pdf]
[bibtex]
@InProceedings{Weng_2018_ECCV,
author = {Weng, Junwu and Liu, Mengyuan and Jiang, Xudong and Yuan, Junsong},
title = {Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising: Xu, Jun and Zhang, Lei and Zhang, David; [pdf]
[bibtex]
@InProceedings{Xu_2018_ECCV,
author = {Xu, Jun and Zhang, Lei and Zhang, David},
title = {A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition: Wang, Yitong and Gong, Dihong and Zhou, Zheng and Ji, Xing and Wang, Hao and Li, Zhifeng and Liu, Wei and Zhang, Tong; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Yitong and Gong, Dihong and Zhou, Zheng and Ji, Xing and Wang, Hao and Li, Zhifeng and Liu, Wei and Zhang, Tong},
title = {Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection: Song, Hongmei and Wang, Wenguan and Zhao, Sanyuan and Shen, Jianbing and Lam, Kin-Man; [pdf]
[bibtex]
@InProceedings{Song_2018_ECCV,
author = {Song, Hongmei and Wang, Wenguan and Zhao, Sanyuan and Shen, Jianbing and Lam, Kin-Man},
title = {Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Burst Denoising: Godard, Clement and Matzen, Kevin and Uyttendaele, Matt; [pdf]
[bibtex]
@InProceedings{Godard_2018_ECCV,
author = {Godard, Clement and Matzen, Kevin and Uyttendaele, Matt},
title = {Deep Burst Denoising},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning to Separate Object Sounds by Watching Unlabeled Video: Gao, Ruohan and Feris, Rogerio and Grauman, Kristen; [pdf]
[bibtex]
@InProceedings{Gao_2018_ECCV,
author = {Gao, Ruohan and Feris, Rogerio and Grauman, Kristen},
title = {Learning to Separate Object Sounds by Watching Unlabeled Video},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learnable PINs: Cross-Modal Embeddings for Person Identity: Nagrani, Arsha and Albanie, Samuel and Zisserman, Andrew; [pdf]
[bibtex]
@InProceedings{Nagrani_2018_ECCV,
author = {Nagrani, Arsha and Albanie, Samuel and Zisserman, Andrew},
title = {Learnable PINs: Cross-Modal Embeddings for Person Identity},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Multi-object Tracking with Neural Gating Using Bilinear LSTM: Kim, Chanho and Li, Fuxin and Rehg, James M.; [pdf]
[bibtex]
@InProceedings{Kim_2018_ECCV,
author = {Kim, Chanho and Li, Fuxin and Rehg, James M.},
title = {Multi-object Tracking with Neural Gating Using Bilinear LSTM},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera: von Marcard, Timo and Henschel, Roberto and Black, Michael J. and Rosenhahn, Bodo and Pons-Moll, Gerard; [pdf]
[bibtex]
@InProceedings{Marcard_2018_ECCV,
author = {von Marcard, Timo and Henschel, Roberto and Black, Michael J. and Rosenhahn, Bodo and Pons-Moll, Gerard},
title = {Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding: Sakaridis, Christos and Dai, Dengxin and Hecker, Simon and Van Gool, Luc; [pdf]
[bibtex]
@InProceedings{Sakaridis_2018_ECCV,
author = {Sakaridis, Christos and Dai, Dengxin and Hecker, Simon and Van Gool, Luc},
title = {Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications: Yang, Tien-Ju and Howard, Andrew and Chen, Bo and Zhang, Xiao and Go, Alec and Sandler, Mark and Sze, Vivienne and Adam, Hartwig; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Tien-Ju and Howard, Andrew and Chen, Bo and Zhang, Xiao and Go, Alec and Sandler, Mark and Sze, Vivienne and Adam, Hartwig},
title = {NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics: Yan, Xinchen and Rastogi, Akash and Villegas, Ruben and Sunkavalli, Kalyan and Shechtman, Eli and Hadap, Sunil and Yumer, Ersin and Lee, Honglak; [pdf]
[bibtex]
@InProceedings{Yan_2018_ECCV,
author = {Yan, Xinchen and Rastogi, Akash and Villegas, Ruben and Sunkavalli, Kalyan and Shechtman, Eli and Hadap, Sunil and Yumer, Ersin and Lee, Honglak},
title = {MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation: Eichhardt, Ivan and Chetverikov, Dmitry; [pdf]
[bibtex]
@InProceedings{Eichhardt_2018_ECCV,
author = {Eichhardt, Ivan and Chetverikov, Dmitry},
title = {Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Lifting Layers: Analysis and Applications: Ochs, Peter and Meinhardt, Tim and Leal-Taixe, Laura and Moeller, Michael; [pdf]
[bibtex]
@InProceedings{Ochs_2018_ECCV,
author = {Ochs, Peter and Meinhardt, Tim and Leal-Taixe, Laura and Moeller, Michael},
title = {Lifting Layers: Analysis and Applications},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection: Liu, Si-Qi and Lan, Xiangyuan and Yuen, Pong C.; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Si-Qi and Lan, Xiangyuan and Yuen, Pong C.},
title = {Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline): Sun, Yifan and Zheng, Liang and Yang, Yi and Tian, Qi and Wang, Shengjin; [pdf]
[bibtex]
@InProceedings{Sun_2018_ECCV,
author = {Sun, Yifan and Zheng, Liang and Yang, Yi and Tian, Qi and Wang, Shengjin},
title = {Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Generative Adversarial Network with Spatial Attention for Face Attribute Editing: Zhang, Gang and Kan, Meina and Shan, Shiguang and Chen, Xilin; [pdf]
[bibtex]
@InProceedings{Zhang_2018_ECCV,
author = {Zhang, Gang and Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Generative Adversarial Network with Spatial Attention for Face Attribute Editing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Pairwise Body-Part Attention for Recognizing Human-Object Interactions: Fang, Hao-Shu and Cao, Jinkun and Tai, Yu-Wing and Lu, Cewu; [pdf]
[bibtex]
@InProceedings{Fang_2018_ECCV,
author = {Fang, Hao-Shu and Cao, Jinkun and Tai, Yu-Wing and Lu, Cewu},
title = {Pairwise Body-Part Attention for Recognizing Human-Object Interactions},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Person Search via A Mask-guided Two-stream CNN Model: Chen, Di and Zhang, Shanshan and Ouyang, Wanli and Yang, Jian and Tai, Ying; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Di and Zhang, Shanshan and Ouyang, Wanli and Yang, Jian and Tai, Ying},
title = {Person Search via A Mask-guided Two-stream CNN Model},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics: Kummerer, Matthias and Wallis, Thomas S. A. and Bethge, Matthias; [pdf]
[bibtex]
@InProceedings{Kummerer_2018_ECCV,
author = {Kummerer, Matthias and Wallis, Thomas S. A. and Bethge, Matthias},
title = {Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Sub-GAN: An Unsupervised Generative Model via Subspaces: Liang, Jie and Yang, Jufeng and Lee, Hsin-Ying and Wang, Kai and Yang, Ming-Hsuan; [pdf]
[bibtex]
@InProceedings{Liang_2018_ECCV,
author = {Liang, Jie and Yang, Jufeng and Lee, Hsin-Ying and Wang, Kai and Yang, Ming-Hsuan},
title = {Sub-GAN: An Unsupervised Generative Model via Subspaces},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning: Buchler, Uta and Brattoli, Biagio and Ommer, Bjorn; [pdf]
[bibtex]
@InProceedings{Buchler_2018_ECCV,
author = {Buchler, Uta and Brattoli, Biagio and Ommer, Bjorn},
title = {Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking: Du, Dawei and Qi, Yuankai and Yu, Hongyang and Yang, Yifan and Duan, Kaiwen and Li, Guorong and Zhang, Weigang and Huang, Qingming and Tian, Qi; [pdf]
[bibtex]
@InProceedings{Du_2018_ECCV,
author = {Du, Dawei and Qi, Yuankai and Yu, Hongyang and Yang, Yifan and Duan, Kaiwen and Li, Guorong and Zhang, Weigang and Huang, Qingming and Tian, Qi},
title = {The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Beyond local reasoning for stereo confidence estimation with deep learning: Tosi, Fabio and Poggi, Matteo and Benincasa, Antonio and Mattoccia, Stefano; [pdf]
[bibtex]
@InProceedings{Tosi_2018_ECCV,
author = {Tosi, Fabio and Poggi, Matteo and Benincasa, Antonio and Mattoccia, Stefano},
title = {Beyond local reasoning for stereo confidence estimation with deep learning},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases: Stock, Pierre and Cisse, Moustapha; [pdf]
[bibtex]
@InProceedings{Stock_2018_ECCV,
author = {Stock, Pierre and Cisse, Moustapha},
title = {ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation: Oberweger, Markus and Rad, Mahdi and Lepetit, Vincent; [pdf]
[bibtex]
@InProceedings{Oberweger_2018_ECCV,
author = {Oberweger, Markus and Rad, Mahdi and Lepetit, Vincent},
title = {Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
CBAM: Convolutional Block Attention Module: Woo, Sanghyun and Park, Jongchan and Lee, Joon-Young and So Kweon, In; [pdf]
[bibtex]
@InProceedings{Woo_2018_ECCV,
author = {Woo, Sanghyun and Park, Jongchan and Lee, Joon-Young and So Kweon, In},
title = {CBAM: Convolutional Block Attention Module},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Spatio-temporal Transformer Network for Video Restoration: Hyun Kim, Tae and Sajjadi, Mehdi S. M. and Hirsch, Michael and Scholkopf, Bernhard; [pdf]
[bibtex]
@InProceedings{Kim_2018_ECCV,
author = {Hyun Kim, Tae and Sajjadi, Mehdi S. M. and Hirsch, Michael and Scholkopf, Bernhard},
title = {Spatio-temporal Transformer Network for Video Restoration},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
stagNet: An Attentive Semantic RNN for Group Activity Recognition: Qi, Mengshi and Qin, Jie and Li, Annan and Wang, Yunhong and Luo, Jiebo and Van Gool, Luc; [pdf]
[bibtex]
@InProceedings{Qi_2018_ECCV,
author = {Qi, Mengshi and Qin, Jie and Li, Annan and Wang, Yunhong and Luo, Jiebo and Van Gool, Luc},
title = {stagNet: An Attentive Semantic RNN for Group Activity Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Learning Discriminative Video Representations Using Adversarial Perturbations: Wang, Jue and Cherian, Anoop; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Jue and Cherian, Anoop},
title = {Learning Discriminative Video Representations Using Adversarial Perturbations},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
On Offline Evaluation of Vision-based Driving Models: Codevilla, Felipe and Lopez, Antonio M. and Koltun, Vladlen and Dosovitskiy, Alexey; [pdf]
[bibtex]
@InProceedings{Codevilla_2018_ECCV,
author = {Codevilla, Felipe and Lopez, Antonio M. and Koltun, Vladlen and Dosovitskiy, Alexey},
title = {On Offline Evaluation of Vision-based Driving Models},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving: Yang, Luona and Liang, Xiaodan and Wang, Tairui and Xing, Eric; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Yang, Luona and Liang, Xiaodan and Wang, Tairui and Xing, Eric},
title = {Real-to-Virtual Domain Unification for End-to-End Autonomous Driving},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization: Li, Yandong and Wang, Liqiang and Yang, Tianbao and Gong, Boqing; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Yandong and Wang, Liqiang and Yang, Tianbao and Gong, Boqing},
title = {How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights: Mallya, Arun and Davis, Dillon and Lazebnik, Svetlana; [pdf]
[bibtex]
@InProceedings{Mallya_2018_ECCV,
author = {Mallya, Arun and Davis, Dillon and Lazebnik, Svetlana},
title = {Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
PSANet: Point-wise Spatial Attention Network for Scene Parsing: Zhao, Hengshuang and Zhang, Yi and Liu, Shu and Shi, Jianping and Change Loy, Chen and Lin, Dahua and Jia, Jiaya; [pdf]
[bibtex]
@InProceedings{Zhao_2018_ECCV,
author = {Zhao, Hengshuang and Zhang, Yi and Liu, Shu and Shi, Jianping and Change Loy, Chen and Lin, Dahua and Jia, Jiaya},
title = {PSANet: Point-wise Spatial Attention Network for Scene Parsing},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
X-ray Computed Tomography Through Scatter: Geva, Adam and Schechner, Yoav Y. and Chernyak, Yonatan and Gupta, Rajiv; [pdf]
[bibtex]
@InProceedings{Geva_2018_ECCV,
author = {Geva, Adam and Schechner, Yoav Y. and Chernyak, Yonatan and Gupta, Rajiv},
title = {X-ray Computed Tomography Through Scatter},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Image Generation from Sketch Constraint Using Contextual GAN: Lu, Yongyi and Wu, Shangzhe and Tai, Yu-Wing and Tang, Chi-Keung; [pdf]
[bibtex]
@InProceedings{Lu_2018_ECCV,
author = {Lu, Yongyi and Wu, Shangzhe and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Image Generation from Sketch Constraint Using Contextual GAN},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images: Cai, Yujun and Ge, Liuhao and Cai, Jianfei and Yuan, Junsong; [pdf]
[bibtex]
@InProceedings{Cai_2018_ECCV,
author = {Cai, Yujun and Ge, Liuhao and Cai, Jianfei and Yuan, Junsong},
title = {Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
SkipNet: Learning Dynamic Routing in Convolutional Networks: Wang, Xin and Yu, Fisher and Dou, Zi-Yi and Darrell, Trevor and Gonzalez, Joseph E.; [pdf]
[bibtex]
@InProceedings{Wang_2018_ECCV,
author = {Wang, Xin and Yu, Fisher and Dou, Zi-Yi and Darrell, Trevor and Gonzalez, Joseph E.},
title = {SkipNet: Learning Dynamic Routing in Convolutional Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Point-to-Point Regression PointNet for 3D Hand Pose Estimation: Ge, Liuhao and Ren, Zhou and Yuan, Junsong; [pdf]
[bibtex]
@InProceedings{Ge_2018_ECCV,
author = {Ge, Liuhao and Ren, Zhou and Yuan, Junsong},
title = {Point-to-Point Regression PointNet for 3D Hand Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deeply Learned Compositional Models for Human Pose Estimation: Tang, Wei and Yu, Pei and Wu, Ying; [pdf]
[bibtex]
@InProceedings{Tang_2018_ECCV,
author = {Tang, Wei and Yu, Pei and Wu, Ying},
title = {Deeply Learned Compositional Models for Human Pose Estimation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Compound Memory Networks for Few-shot Video Classification: Zhu, Linchao and Yang, Yi; [pdf]
[bibtex]
@InProceedings{Zhu_2018_ECCV,
author = {Zhu, Linchao and Yang, Yi},
title = {Compound Memory Networks for Few-shot Video Classification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation: Ye, Xiaoqing and Li, Jiamao and Huang, Hexiao and Du, Liang and Zhang, Xiaolin; [pdf]
[bibtex]
@InProceedings{Ye_2018_ECCV,
author = {Ye, Xiaoqing and Li, Jiamao and Huang, Hexiao and Du, Liang and Zhang, Xiaolin},
title = {3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Person Re-identification by Deep Learning Tracklet Association: Li, Minxian and Zhu, Xiatian and Gong, Shaogang; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Minxian and Zhu, Xiatian and Gong, Shaogang},
title = {Unsupervised Person Re-identification by Deep Learning Tracklet Association},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Boosting for Image Denoising: Chen, Chang and Xiong, Zhiwei and Tian, Xinmei and Wu, Feng; [pdf]
[bibtex]
@InProceedings{Chen_2018_ECCV,
author = {Chen, Chang and Xiong, Zhiwei and Tian, Xinmei and Wu, Feng},
title = {Deep Boosting for Image Denoising},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
The Contextual Loss for Image Transformation with Non-Aligned Data: Mechrez, Roey and Talmi, Itamar and Zelnik-Manor, Lihi; [pdf]
[bibtex]
@InProceedings{Mechrez_2018_ECCV,
author = {Mechrez, Roey and Talmi, Itamar and Zelnik-Manor, Lihi},
title = {The Contextual Loss for Image Transformation with Non-Aligned Data},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Actor-centric Relation Network: Sun, Chen and Shrivastava, Abhinav and Vondrick, Carl and Murphy, Kevin and Sukthankar, Rahul and Schmid, Cordelia; [pdf]
[bibtex]
@InProceedings{Sun_2018_ECCV,
author = {Sun, Chen and Shrivastava, Abhinav and Vondrick, Carl and Murphy, Kevin and Sukthankar, Rahul and Schmid, Cordelia},
title = {Actor-centric Relation Network },
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Fully-Convolutional Point Networks for Large-Scale Point Clouds: Rethage, Dario and Wald, Johanna and Sturm, Jurgen and Navab, Nassir and Tombari, Federico; [pdf]
[bibtex]
@InProceedings{Rethage_2018_ECCV,
author = {Rethage, Dario and Wald, Johanna and Sturm, Jurgen and Navab, Nassir and Tombari, Federico},
title = {Fully-Convolutional Point Networks for Large-Scale Point Clouds},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Joint optimization for compressive video sensing and reconstruction under hardware constraints: Yoshida, Michitaka and Torii, Akihiko and Okutomi, Masatoshi and Endo, Kenta and Sugiyama, Yukinobu and Taniguchi, Rin-ichiro and Nagahara, Hajime; [pdf]
[bibtex]
@InProceedings{Yoshida_2018_ECCV,
author = {Yoshida, Michitaka and Torii, Akihiko and Okutomi, Masatoshi and Endo, Kenta and Sugiyama, Yukinobu and Taniguchi, Rin-ichiro and Nagahara, Hajime},
title = {Joint optimization for compressive video sensing and reconstruction under hardware constraints},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Improved Structure from Motion Using Fiducial Marker Matching: DeGol, Joseph and Bretl, Timothy and Hoiem, Derek; [pdf]
[bibtex]
@InProceedings{DeGol_2018_ECCV,
author = {DeGol, Joseph and Bretl, Timothy and Hoiem, Derek},
title = {Improved Structure from Motion Using Fiducial Marker Matching},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling: Trumble, Matthew and Gilbert, Andrew and Hilton, Adrian and Collomosse, John; [pdf]
[bibtex]
@InProceedings{Trumble_2018_ECCV,
author = {Trumble, Matthew and Gilbert, Andrew and Hilton, Adrian and Collomosse, John},
title = {Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Integral Human Pose Regression: Sun, Xiao and Xiao, Bin and Wei, Fangyin and Liang, Shuang and Wei, Yichen; [pdf]
[bibtex]
@InProceedings{Sun_2018_ECCV,
author = {Sun, Xiao and Xiao, Bin and Wei, Fangyin and Liang, Shuang and Wei, Yichen},
title = {Integral Human Pose Regression},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Convolutional Networks with Adaptive Inference Graphs: Veit, Andreas and Belongie, Serge; [pdf]
[bibtex]
@InProceedings{Veit_2018_ECCV,
author = {Veit, Andreas and Belongie, Serge},
title = {Convolutional Networks with Adaptive Inference Graphs},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
A Dataset and Architecture for Visual Reasoning with a Working Memory: Robert Yang, Guangyu and Ganichev, Igor and Wang, Xiao-Jing and Shlens, Jonathon and Sussillo, David; [pdf]
[bibtex]
@InProceedings{Yang_2018_ECCV,
author = {Robert Yang, Guangyu and Ganichev, Igor and Wang, Xiao-Jing and Shlens, Jonathon and Sussillo, David},
title = {A Dataset and Architecture for Visual Reasoning with a Working Memory},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Video Compression through Image Interpolation: Wu, Chao-Yuan and Singhal, Nayan and Krahenbuhl, Philipp; [pdf]
[bibtex]
@InProceedings{Wu_2018_ECCV,
author = {Wu, Chao-Yuan and Singhal, Nayan and Krahenbuhl, Philipp},
title = {Video Compression through Image Interpolation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds: Idrees, Haroon and Tayyab, Muhmmad and Athrey, Kishan and Zhang, Dong and Al-Maadeed, Somaya and Rajpoot, Nasir and Shah, Mubarak; [pdf]
[bibtex]
@InProceedings{Idrees_2018_ECCV,
author = {Idrees, Haroon and Tayyab, Muhmmad and Athrey, Kishan and Zhang, Dong and Al-Maadeed, Somaya and Rajpoot, Nasir and Shah, Mubarak},
title = {Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Affinity Derivation and Graph Merge for Instance Segmentation: Liu, Yiding and Yang, Siyu and Li, Bin and Zhou, Wengang and Xu, Jizheng and Li, Houqiang and Lu, Yan; [pdf]
[bibtex]
@InProceedings{Liu_2018_ECCV,
author = {Liu, Yiding and Yang, Siyu and Li, Bin and Zhou, Wengang and Xu, Jizheng and Li, Houqiang and Lu, Yan},
title = {Affinity Derivation and Graph Merge for Instance Segmentation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Progressive Structure from Motion: Locher, Alex and Havlena, Michal and Van Gool, Luc; [pdf]
[bibtex]
@InProceedings{Locher_2018_ECCV,
author = {Locher, Alex and Havlena, Michal and Van Gool, Luc},
title = {Progressive Structure from Motion},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network: Kocabas, Muhammed and Karagoz, Salih and Akbas, Emre; [pdf]
[bibtex]
@InProceedings{Kocabas_2018_ECCV,
author = {Kocabas, Muhammed and Karagoz, Salih and Akbas, Emre},
title = {MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Self-Calibrating Isometric Non-Rigid Structure-from-Motion: Parashar, Shaifali and Bartoli, Adrien and Pizarro, Daniel; [pdf]
[bibtex]
@InProceedings{Parashar_2018_ECCV,
author = {Parashar, Shaifali and Bartoli, Adrien and Pizarro, Daniel},
title = {Self-Calibrating Isometric Non-Rigid Structure-from-Motion},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Using Object Information for Spotting Text: Prasad, Shitala and Wai Kin Kong, Adams; [pdf]
[bibtex]
@InProceedings{Prasad_2018_ECCV,
author = {Prasad, Shitala and Wai Kin Kong, Adams},
title = {Using Object Information for Spotting Text},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Modality Distillation with Multiple Stream Networks for Action Recognition: Garcia, Nuno C. and Morerio, Pietro and Murino, Vittorio; [pdf]
[bibtex]
@InProceedings{Garcia_2018_ECCV,
author = {Garcia, Nuno C. and Morerio, Pietro and Murino, Vittorio},
title = {Modality Distillation with Multiple Stream Networks for Action Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving: Li, Peiliang and Qin, Tong and Shen, andShaojie; [pdf]
[bibtex]
@InProceedings{Li_2018_ECCV,
author = {Li, Peiliang and Qin, Tong and Shen, andShaojie},
title = {Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos: Shou, Zheng and Gao, Hang and Zhang, Lei and Miyazawa, Kazuyuki and Chang, Shih-Fu; [pdf]
[bibtex]
@InProceedings{Shou_2018_ECCV,
author = {Shou, Zheng and Gao, Hang and Zhang, Lei and Miyazawa, Kazuyuki and Chang, Shih-Fu},
title = {AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency: Zhou, Xingyi and Karpur, Arjun and Gan, Chuang and Luo, Linjie and Huang, Qixing; [pdf]
[bibtex]
@InProceedings{Zhou_2018_ECCV,
author = {Zhou, Xingyi and Karpur, Arjun and Gan, Chuang and Luo, Linjie and Huang, Qixing},
title = {Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Visual-Inertial Object Detection and Mapping: Fei, Xiaohan and Soatto, Stefano; [pdf]
[bibtex]
@InProceedings{Fei_2018_ECCV,
author = {Fei, Xiaohan and Soatto, Stefano},
title = {Visual-Inertial Object Detection and Mapping},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification: Yin, Xiaoqing and Wang, Xinchao and Yu, Jun and Zhang, Maojun and Fua, Pascal and Tao, Dacheng; [pdf]
[bibtex]
@InProceedings{Yin_2018_ECCV,
author = {Yin, Xiaoqing and Wang, Xinchao and Yu, Jun and Zhang, Maojun and Fua, Pascal and Tao, Dacheng},
title = {FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Semi-supervised FusedGAN for Conditional Image Generation: Bodla, Navaneeth and Hua, Gang and Chellappa, Rama; [pdf]
[bibtex]
@InProceedings{Bodla_2018_ECCV,
author = {Bodla, Navaneeth and Hua, Gang and Chellappa, Rama},
title = {Semi-supervised FusedGAN for Conditional Image Generation},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Group Normalization: Wu, Yuxin and He, Kaiming; [pdf]
[bibtex]
@InProceedings{Wu_2018_ECCV,
author = {Wu, Yuxin and He, Kaiming},
title = {Group Normalization},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Conditional Image-Text Embedding Networks: Plummer, Bryan A. and Kordas, Paige and Hadi Kiapour, M. and Zheng, Shuai and Piramuthu, Robinson and Lazebnik, Svetlana; [pdf]
[bibtex]
@InProceedings{Plummer_2018_ECCV,
author = {Plummer, Bryan A. and Kordas, Paige and Hadi Kiapour, M. and Zheng, Shuai and Piramuthu, Robinson and Lazebnik, Svetlana},
title = {Conditional Image-Text Embedding Networks},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Deep Co-Training for Semi-Supervised Image Recognition: Qiao, Siyuan and Shen, Wei and Zhang, Zhishuai and Wang, Bo and Yuille, Alan; [pdf]
[bibtex]
@InProceedings{Qiao_2018_ECCV,
author = {Qiao, Siyuan and Shen, Wei and Zhang, Zhishuai and Wang, Bo and Yuille, Alan},
title = {Deep Co-Training for Semi-Supervised Image Recognition},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}
}
Object Level Visual Reasoning in Videos: Baradel, Fabien and Neverova, Natalia and Wolf, Christian and Mille, Julien and Mori, Greg; [