ECVA | European Computer Vision Association

ECVA

ECCV Conference Papers

Learning Depth from Focus in the Wild: Changyeon Won, Hae-Gon Jeon; [pdf]
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[DOI]
Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World: Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann; [pdf]
[DOI]
An End-to-End Transformer Model for Crowd Localization: Dingkang Liang, Wei Xu, Xiang Bai; [pdf]
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[DOI]
Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network: Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang; [pdf]
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[DOI]
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection: Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai; [pdf]
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[DOI]
Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation: Weisong Ren, Lijun Wang, Yongri Piao, Miao Zhang, Huchuan Lu, Ting Liu; [pdf]
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[DOI]
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects: Chen Zhao, Yinlin Hu, Mathieu Salzmann; [pdf]
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[DOI]
Lidar Point Cloud Guided Monocular 3D Object Detection: Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai; [pdf]
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[DOI]
Structural Causal 3D Reconstruction: Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf; [pdf]
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[DOI]
3D Human Pose Estimation Using Möbius Graph Convolutional Networks: Niloofar Azizi, Horst Possegger, Emanuele Rodolà, Horst Bischof; [pdf]
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Learning to Train a Point Cloud Reconstruction Network without Matching: Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu; [pdf]
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[DOI]
PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation: Zhijie Shen, Chunyu Lin, Kang Liao, Lang Nie, Zishuo Zheng, Yao Zhao; [pdf]
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[DOI]
Self-supervised Human Mesh Recovery with Cross-Representation Alignment: Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David Doermann, Ziyan Wu; [pdf]
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[DOI]
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction: Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev; [pdf]
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[DOI]
A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation: Yiming Qian, James H. Elder; [pdf]
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[DOI]
PS-NeRF: Neural Inverse Rendering for Multi-View Photometric Stereo: Wenqi Yang, Guanying Chen, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong; [pdf]
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[DOI]
Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency: Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry; [pdf]
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[DOI]
Towards Comprehensive Representation Enhancement in Semantics-Guided Self-Supervised Monocular Depth Estimation: Jingyuan Ma, Xiangyu Lei, Nan Liu, Xian Zhao, Shiliang Pu; [pdf]
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[DOI]
AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture: Zhe Li, Zerong Zheng, Hongwen Zhang, Chaonan Ji, Yebin Liu; [pdf]
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[DOI]
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers: Junhyeong Cho, Kim Youwang, Tae-Hyun Oh; [pdf]
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[DOI]
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping: Pan Ji, Qingan Yan, Yuxin Ma, Yi Xu; [pdf]
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[DOI]
Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion: Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang; [pdf]
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[DOI]
GitNet: Geometric Prior-Based Transformation for Birds-Eye-View Segmentation: Shi Gong, Xiaoqing Ye, Xiao Tan, Jingdong Wang, Errui Ding, Yu Zhou, Xiang Bai; [pdf]
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[DOI]
Learning Visibility for Robust Dense Human Body Estimation: Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang; [pdf]
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[DOI]
Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes: Haolin Liu, Yujian Zheng, Guanying Chen, Shuguang Cui, Xiaoguang Han; [pdf]
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[DOI]
CompNVS: Novel View Synthesis with Scene Completion: Zuoyue Li, Tianxing Fan, Zhenqiang Li, Zhaopeng Cui, Yoichi Sato, Marc Pollefeys, Martin R. Oswald; [pdf]
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[DOI]
SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling: Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu; [pdf]
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[DOI]
LocalBins: Improving Depth Estimation by Learning Local Distributions: Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka; [pdf]
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[DOI]
2D GANs Meet Unsupervised Single-View 3D Reconstruction: Feng Liu, Xiaoming Liu; [pdf]
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[DOI]
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images: Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa; [pdf]
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[DOI]
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors: Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang; [pdf]
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[DOI]
Bilateral Normal Integration: Xu Cao, Hiroaki Santo, Boxin Shi, Fumio Okura, Yasuyuki Matsushita; [pdf]
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[DOI]
S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning: Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Aleš Leonardis, Feng Zheng, Hyung Jin Chang; [pdf]
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[DOI]
SC-wLS: Towards Interpretable Feed-Forward Camera Re-localization: Xin Wu, Hao Zhao, Shunkai Li, Yingdian Cao, Hongbin Zha; [pdf]
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[DOI]
FloatingFusion: Depth from ToF and Image-Stabilized Stereo Cameras: Andreas Meuleman, Hakyeong Kim, James Tompkin, Min H. Kim; [pdf]
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[DOI]
DELTAR: Depth Estimation from a Light-Weight ToF Sensor and RGB Image: Yijin Li, Xinyang Liu, Wenqi Dong, Han Zhou, Hujun Bao, Guofeng Zhang, Yinda Zhang, Zhaopeng Cui; [pdf]
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[DOI]
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform: Yining Zhao, Chao Wen, Zhou Xue, Yue Gao; [pdf]
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[DOI]
RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation: Ruida Zhang, Yan Di, Zhiqiang Lou, Fabian Manhardt, Federico Tombari, Xiangyang Ji; [pdf]
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[DOI]
Monocular 3D Object Reconstruction with GAN Inversion: Junzhe Zhang, Daxuan Ren, Zhongang Cai, Chai Kiat Yeo, Bo Dai, Chen Change Loy; [pdf]
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[DOI]
Map-Free Visual Relocalization: Metric Pose Relative to a Single Image: Eduardo Arnold, Jamie Wynn, Sara Vicente, Guillermo Garcia-Hernando, Aron Monszpart, Victor Prisacariu, Daniyar Turmukhambetov, Eric Brachmann; [pdf]
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Self-Distilled Feature Aggregation for Self-Supervised Monocular Depth Estimation: Zhengming Zhou, Qiulei Dong; [pdf]
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[DOI]
Planes vs. Chairs: Category-Guided 3D Shape Learning without Any 3D Cues: Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg; [pdf]
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[DOI]
MHR-Net: Multiple-Hypothesis Reconstruction of Non-rigid Shapes from 2D Views: Haitian Zeng, Xin Yu, Jiaxu Miao, Yi Yang; [pdf]
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[DOI]
Depth Map Decomposition for Monocular Depth Estimation: Jinyoung Jun, Jae-Han Lee, Chul Lee, Chang-Su Kim; [pdf]
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[DOI]
Monitored Distillation for Positive Congruent Depth Completion: Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong; [pdf]
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[DOI]
Resolution-Free Point Cloud Sampling Network with Data Distillation: Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu; [pdf]
[DOI]
Organic Priors in Non-rigid Structure from Motion: Suryansh Kumar, Luc Van Gool; [pdf]
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[DOI]
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation: Yinlin Hu, Pascal Fua, Mathieu Salzmann; [pdf]
[DOI]
DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks: Shih-Yang Su, Timur Bagautdinov, Helge Rhodin; [pdf]
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[DOI]
"CHORE: Contact, Human and Object REconstruction from a Single RGB Image": Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll; [pdf]
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[DOI]
Learned Vertex Descent: A New Direction for 3D Human Model Fitting: Enric Corona, Gerard Pons-Moll, Guillem Alenyà, Francesc Moreno-Noguer; [pdf]
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[DOI]
Self-Calibrating Photometric Stereo by Neural Inverse Rendering: Junxuan Li, Hongdong Li; [pdf]
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[DOI]
3D Clothed Human Reconstruction in the Wild: Gyeongsik Moon, Hyeongjin Nam, Takaaki Shiratori, Kyoung Mu Lee; [pdf]
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[DOI]
Directed Ray Distance Functions for 3D Scene Reconstruction: Nilesh Kulkarni, Justin Johnson, David F. Fouhey; [pdf]
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[DOI]
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation from Monocular RGB Image: Zhaoxin Fan, Zhenbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He; [pdf]
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[DOI]
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression: Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard Bondell, Mingming Gong; [pdf]
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[DOI]
CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image: Jaewon Kam, Jungeon Kim, Soongjin Kim, Jaesik Park, Seungyong Lee; [pdf]
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[DOI]
"ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization": Muhammad Zubair Irshad, Sergey Zakharov, Rareș Ambruș, Thomas Kollar, Zsolt Kira, Adrien Gaidon; [pdf]
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[DOI]
3D Siamese Transformer Network for Single Object Tracking on Point Clouds: Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang; [pdf]
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[DOI]
Object Wake-Up: 3D Object Rigging from a Single Image: Ji Yang, Xinxin Zuo, Sen Wang, Zhenbo Yu, Xingyu Li, Bingbing Ni, Minglun Gong, Li Cheng; [pdf]
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[DOI]
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction: Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin; [pdf]
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[DOI]
Realistic One-Shot Mesh-Based Head Avatars: Taras Khakhulin, Vanessa Sklyarova, Victor Lempitsky, Egor Zakharov; [pdf]
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[DOI]
A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks: Martha Paskin, Daniel Baum, Mason N. Dean, Christoph von Tycowicz; [pdf]
[DOI]
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion: Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler; [pdf]
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[DOI]
Perspective Phase Angle Model for Polarimetric 3D Reconstruction: Guangcheng Chen, Li He, Yisheng Guan, Hong Zhang; [pdf]
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[DOI]
DeepShadow: Neural Shape from Shadow: Asaf Karnieli, Ohad Fried, Yacov Hel-Or; [pdf]
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[DOI]
Camera Auto-Calibration from the Steiner Conic of the Fundamental Matrix: Yu Liu, Hui Zhang; [pdf]
[DOI]
Super-Resolution 3D Human Shape from a Single Low-Resolution Image: Marco Pesavento, Marco Volino, Adrian Hilton; [pdf]
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[DOI]
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion: Weng Fei Low, Gim Hee Lee; [pdf]
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[DOI]
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing: Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Junzhe Zhang; [pdf]
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[DOI]
CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement: Xingyu Liu, Gu Wang, Yi Li, Xiangyang Ji; [pdf]
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[DOI]
Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation: Jingyu Gong, Fengqi Liu, Jiachen Xu, Min Wang, Xin Tan, Zhizhong Zhang, Ran Yi, Haichuan Song, Yuan Xie, Lizhuang Ma; [pdf]
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[DOI]
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction: Haocheng Yuan, Chen Zhao, Shichao Fan, Jiaxi Jiang, Jiaqi Yang; [pdf]
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[DOI]
MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation: Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler; [pdf]
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[DOI]
SUPR: A Sparse Unified Part-Based Human Representation: Ahmed A. A. Osman, Timo Bolkart, Dimitrios Tzionas, Michael J. Black; [pdf]
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[DOI]
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach: Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou; [pdf]
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[DOI]
Masked Autoencoders for Point Cloud Self-Supervised Learning: Yatian Pang, Wenxiao Wang, Francis E.H. Tay, Wei Liu, Yonghong Tian, Li Yuan; [pdf]
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[DOI]
Intrinsic Neural Fields: Learning Functions on Manifolds: Lukas Koestler, Daniel Grittner, Michael Moeller, Daniel Cremers, Zorah Lähner; [pdf]
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[DOI]
Skeleton-Free Pose Transfer for Stylized 3D Characters: Zhouyingcheng Liao, Jimei Yang, Jun Saito, Gerard Pons-Moll, Yang Zhou; [pdf]
[DOI]
Masked Discrimination for Self-Supervised Learning on Point Clouds: Haotian Liu, Mu Cai, Yong Jae Lee; [pdf]
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[DOI]
FBNet: Feedback Network for Point Cloud Completion: Xuejun Yan, Hongyu Yan, Jingjing Wang, Hang Du, Zhihong Wu, Di Xie, Shiliang Pu, Li Lu; [pdf]
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[DOI]
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds: Ta-Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham; [pdf]
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[DOI]
A Level Set Theory for Neural Implicit Evolution under Explicit Flows: Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi; [pdf]
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[DOI]
Efficient Point Cloud Analysis Using Hilbert Curve: Wanli Chen, Xinge Zhu, Guojin Chen, Bei Yu; [pdf]
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[DOI]
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement: Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll; [pdf]
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[DOI]
LaTeRF: Label and Text Driven Object Radiance Fields: Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski; [pdf]
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[DOI]
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis: Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He; [pdf]
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[DOI]
Unsupervised Deep Multi-Shape Matching: Dongliang Cao, Florian Bernard; [pdf]
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[DOI]
Texturify: Generating Textures on 3D Shape Surfaces: Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai; [pdf]
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[DOI]
Autoregressive 3D Shape Generation via Canonical Mapping: An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang; [pdf]
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[DOI]
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees: Jun-Kun Chen, Yu-Xiong Wang; [pdf]
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[DOI]
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation: Shenhan Qian, Jiale Xu, Ziwei Liu, Liqian Ma, Shenghua Gao; [pdf]
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[DOI]
PRIF: Primary Ray-Based Implicit Function: Brandon Y. Feng, Yinda Zhang, Danhang Tang, Ruofei Du, Amitabh Varshney; [pdf]
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[DOI]
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction: Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang; [pdf]
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[DOI]
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes: Kim Youwang, Kim Ji-Yeon, Tae-Hyun Oh; [pdf]
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[DOI]
PlaneFormers: From Sparse View Planes to 3D Reconstruction: Samir Agarwala, Linyi Jin, Chris Rockwell, David F. Fouhey; [pdf]
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[DOI]
Learning Implicit Templates for Point-Based Clothed Human Modeling: Siyou Lin, Hongwen Zhang, Zerong Zheng, Ruizhi Shao, Yebin Liu; [pdf]
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[DOI]
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks: Qianjiang Hu, Daizong Liu, Wei Hu; [pdf]
[DOI]
Structure-Aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation: Jingwang Ling, Zhibo Wang, Ming Lu, Quan Wang, Chen Qian, Feng Xu; [pdf]
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[DOI]
MoFaNeRF: Morphable Facial Neural Radiance Field: Yiyu Zhuang, Hao Zhu, Xusen Sun, Xun Cao; [pdf]
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[DOI]
PointInst3D: Segmenting 3D Instances by Points: Tong He, Wei Yin, Chunhua Shen, Anton van den Hengel; [pdf]
[DOI]
Cross-Modal 3D Shape Generation and Manipulation: Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov; [pdf]
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[DOI]
Latent Partition Implicit with Surface Codes for 3D Representation: Chao Chen, Yu-Shen Liu, Zhizhong Han; [pdf]
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[DOI]
Implicit Field Supervision for Robust Non-rigid Shape Matching: Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov; [pdf]
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[DOI]
Learning Self-Prior for Mesh Denoising Using Dual Graph Convolutional Networks: Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki; [pdf]
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[DOI]
diffConv: Analyzing Irregular Point Clouds with an Irregular View: Manxi Lin, Aasa Feragen; [pdf]
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[DOI]
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows: Aihua Mao, Zihui Du, Yu-Hui Wen, Jun Xuan, Yong-Jin Liu; [pdf]
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[DOI]
SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer: Haoran Zhou, Yun Cao, Wenqing Chu, Junwei Zhu, Tong Lu, Ying Tai, Chengjie Wang; [pdf]
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[DOI]
DeepMend: Learning Occupancy Functions to Represent Shape for Repair: Nikolas Lamb, Sean Banerjee, Natasha Kholgade Banerjee; [pdf]
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[DOI]
A Repulsive Force Unit for Garment Collision Handling in Neural Networks: Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun, Dinesh Manocha; [pdf]
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[DOI]
Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons: Oren Katzir, Dani Lischinski, Daniel Cohen-Or; [pdf]
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[DOI]
3D Equivariant Graph Implicit Functions: Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves; [pdf]
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[DOI]
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation: Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri; [pdf]
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[DOI]
3D Shape Sequence of Human Comparison and Classification Using Current and Varifolds: Emery Pierson, Mohamed Daoudi, Sylvain Arguillere; [pdf]
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[DOI]
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification: Jianxiong Shen, Antonio Agudo, Francesc Moreno-Noguer, Adria Ruiz; [pdf]
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[DOI]
Unsupervised Pose-Aware Part Decomposition for Man-Made Articulated Objects: Yuki Kawana, Yusuke Mukuta, Tatsuya Harada; [pdf]
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[DOI]
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks: Benoît Guillard, Federico Stella, Pascal Fua; [pdf]
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[DOI]
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement: Zhaofan Qiu, Yehao Li, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei; [pdf]
[DOI]
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts: Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie; [pdf]
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[DOI]
Spatiotemporal Self-Attention Modeling with Temporal Patch Shift for Action Recognition: Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Xian-Sheng Hua, Lei Zhang; [pdf]
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[DOI]
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning: Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang; [pdf]
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[DOI]
Semi-Supervised Temporal Action Detection with Proposal-Free Masking: Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang; [pdf]
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[DOI]
Zero-Shot Temporal Action Detection via Vision-Language Prompting: Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang; [pdf]
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[DOI]
CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video: Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof; [pdf]
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[DOI]
S2N: Suppression-Strengthen Network for Event-Based Recognition under Variant Illuminations: Zengyu Wan, Yang Wang, Ganchao Tan, Yang Cao, Zheng-Jun Zha; [pdf]
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[DOI]
CMD: Self-Supervised 3D Action Representation Learning with Cross-Modal Mutual Distillation: Yunyao Mao, Wengang Zhou, Zhenbo Lu, Jiajun Deng, Houqiang Li; [pdf]
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[DOI]
Expanding Language-Image Pretrained Models for General Video Recognition: Bolin Ni, Houwen Peng, Minghao Chen, Songyang Zhang, Gaofeng Meng, Jianlong Fu, Shiming Xiang, Haibin Ling; [pdf]
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[DOI]
Hunting Group Clues with Transformers for Social Group Activity Recognition: Masato Tamura, Rahul Vishwakarma, Ravigopal Vennelakanti; [pdf]
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[DOI]
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning: Haoyuan Zhang, Yonghong Hou, Wenjing Zhang, Wanqing Li; [pdf]
[DOI]
Target-Absent Human Attention: Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory Zelinsky, Minh Hoai, Dimitris Samaras; [pdf]
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[DOI]
Uncertainty-Based Spatial-Temporal Attention for Online Action Detection: Hongji Guo, Zhou Ren, Yi Wu, Gang Hua, Qiang Ji; [pdf]
[DOI]
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows: Danyang Tu, Xiongkuo Min, Huiyu Duan, Guodong Guo, Guangtao Zhai, Wei Shen; [pdf]
[DOI]
Rethinking Zero-Shot Action Recognition: Learning from Latent Atomic Actions: Yijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann; [pdf]
[DOI]
Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection: Xiaoqian Wu, Yong-Lu Li, Xinpeng Liu, Junyi Zhang, Yuzhe Wu, Cewu Lu; [pdf]
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[DOI]
Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-Domain 3D Action Recognition: Qinying Liu, Zilei Wang; [pdf]
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[DOI]
Is Appearance Free Action Recognition Possible?: Filip Ilic, Thomas Pock, Richard P. Wildes; [pdf]
[DOI]
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition: Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu; [pdf]
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[DOI]
Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization: Mengyuan Chen, Junyu Gao, Shicai Yang, Changsheng Xu; [pdf]
[DOI]
Global-Local Motion Transformer for Unsupervised Skeleton-Based Action Learning: Boeun Kim, Hyung Jin Chang, Jungho Kim, Jin Young Choi; [pdf]
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[DOI]
AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition: Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang; [pdf]
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[DOI]
Panoramic Human Activity Recognition: Ruize Han, Haomin Yan, Jiacheng Li, Songmiao Wang, Wei Feng, Song Wang; [pdf]
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[DOI]
Delving into Details: Synopsis-to-Detail Networks for Video Recognition: Shuxian Liang, Xu Shen, Jianqiang Huang, Xian-Sheng Hua; [pdf]
[supplementary material]

[DOI]
A Generalized & Robust Framework for Timestamp Supervision in Temporal Action Segmentation: Rahul Rahaman, Dipika Singhania, Alexandre Thiery, Angela Yao; [pdf]
[supplementary material]

[DOI]
Few-Shot Action Recognition with Hierarchical Matching and Contrastive Learning: Sipeng Zheng, Shizhe Chen, Qin Jin; [pdf]
[supplementary material]

[DOI]
PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens: Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles; [pdf]
[supplementary material]

[DOI]
Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection: Guoqiu Li, Guanxiong Cai, Xingyu Zeng, Rui Zhao; [pdf]
[DOI]
Compound Prototype Matching for Few-Shot Action Recognition: Yifei Huang, Lijin Yang, Yoichi Sato; [pdf]
[supplementary material]

[DOI]
Continual 3D Convolutional Neural Networks for Real-Time Processing of Videos: Lukas Hedegaard, Alexandros Iosifidis; [pdf]
[supplementary material]

[DOI]
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition: Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu; [pdf]
[supplementary material]

[DOI]
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection: Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu; [pdf]
[supplementary material]

[DOI]
Action Quality Assessment with Temporal Parsing Transformer: Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang; [pdf]
[supplementary material]

[DOI]
Entry-Flipped Transformer for Inference and Prediction of Participant Behavior: Bo Hu, Tat-Jen Cham; [pdf]
[supplementary material]

[DOI]
Pairwise Contrastive Learning Network for Action Quality Assessment: Mingzhe Li, Hong-Bo Zhang, Qing Lei, Zongwen Fan, Jinghua Liu, Ji-Xiang Du; [pdf]
[DOI]
Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos: Tanqiu Qiao, Qianhui Men, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima, Hubert P. H. Shum; [pdf]
[supplementary material]

[DOI]
ActionFormer: Localizing Moments of Actions with Transformers: Chen-Lin Zhang, Jianxin Wu, Yin Li; [pdf]
[supplementary material]

[DOI]
SocialVAE: Human Trajectory Prediction Using Timewise Latents: Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas; [pdf]
[supplementary material]

[DOI]
Shape Matters: Deformable Patch Attack: Zhaoyu Chen, Bo Li, Shuang Wu, Jianghe Xu, Shouhong Ding, Wenqiang Zhang; [pdf]
[supplementary material]

[DOI]
Frequency Domain Model Augmentation for Adversarial Attack: Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song; [pdf]
[supplementary material]

[DOI]
Prior-Guided Adversarial Initialization for Fast Adversarial Training: Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao; [pdf]
[supplementary material]

[DOI]
Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation: Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei; [pdf]
[DOI]
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity: Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen; [pdf]
[supplementary material]

[DOI]
A Large-Scale Multiple-Objective Method for Black-Box Attack against Object Detection: Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao; [pdf]
[supplementary material]

[DOI]
GradAuto: Energy-Oriented Attack on Dynamic Neural Networks: Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu; [pdf]
[DOI]
A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness: Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao; [pdf]
[supplementary material]

[DOI]
Improving Adversarial Robustness of 3D Point Cloud Classification Models: Guanlin Li, Guowen Xu, Han Qiu, Ruan He, Jiwei Li, Tianwei Zhang; [pdf]
[supplementary material]

[DOI]
Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number: Xian Wei, Yangyu Xu, Yanhui Huang, Hairong Lv, Hai Lan, Mingsong Chen, Xuan Tang; [pdf]
[supplementary material]

[DOI]
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN: Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li, Tianming Zhao, Jian Liu, Yan Wang, Yingying Chen, Bo Yuan; [pdf]
[supplementary material]

[DOI]
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks: Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu; [pdf]
[supplementary material]

[DOI]
Adaptive Image Transformations for Transfer-Based Adversarial Attack: Zheng Yuan, Jie Zhang, Shiguang Shan; [pdf]
[supplementary material]

[DOI]
Generative Multiplane Images: Making a 2D GAN 3D-Aware: Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G. Schwing, Alex Colburn; [pdf]
[supplementary material]

[DOI]
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction: Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone; [pdf]
[supplementary material]

[DOI]
Adversarial Contrastive Learning via Asymmetric InfoNCE: Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu; [pdf]
[supplementary material]

[DOI]
One Size Does NOT Fit All: Data-Adaptive Adversarial Training: Shuo Yang, Chang Xu; [pdf]
[supplementary material]

[DOI]
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing: Hanbin Hong, Binghui Wang, Yuan Hong; [pdf]
[supplementary material]

[DOI]
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips: Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu; [pdf]
[supplementary material]

[DOI]
Robust Network Architecture Search via Feature Distortion Restraining: Yaguan Qian, Shenghui Huang, Bin Wang, Xiang Ling, Xiaohui Guan, Zhaoquan Gu, Shaoning Zeng, Wujie Zhou, Haijiang Wang; [pdf]
[DOI]
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination: Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li; [pdf]
[DOI]
Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack: Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu; [pdf]
[supplementary material]

[DOI]
Data-Free Backdoor Removal Based on Channel Lipschitzness: Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu; [pdf]
[DOI]
Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack: Yixu Wang, Jie Li, Hong Liu, Yan Wang, Yongjian Wu, Feiyue Huang, Rongrong Ji; [pdf]
[supplementary material]

[DOI]
Learning Energy-Based Models with Adversarial Training: Xuwang Yin, Shiying Li, Gustavo K. Rohde; [pdf]
[supplementary material]

[DOI]
Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation: Ganlin Liu, Xiaowei Huang, Xinping Yi; [pdf]
[DOI]
Revisiting Outer Optimization in Adversarial Training: Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Nasser M. Nasrabadi; [pdf]
[supplementary material]

[DOI]
Zero-Shot Attribute Attacks on Fine-Grained Recognition Models: Nasim Shafiee, Ehsan Elhamifar; [pdf]
[supplementary material]

[DOI]
Towards Effective and Robust Neural Trojan Defenses via Input Filtering: Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh; [pdf]
[supplementary material]

[DOI]
Scaling Adversarial Training to Large Perturbation Bounds: Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu; [pdf]
[supplementary material]

[DOI]
Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack: Hoang Tran, Dan Lu, Guannan Zhang; [pdf]
[supplementary material]

[DOI]
Generative Domain Adaptation for Face Anti-Spoofing: Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Ran Yi, Kekai Sheng, Shouhong Ding, Lizhuang Ma; [pdf]
[DOI]
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition: Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Xi Li; [pdf]
[supplementary material]

[DOI]
GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality: Junhao Liang, Chao Fan, Saihui Hou, Chuanfu Shen, Yongzhen Huang, Shiqi Yu; [pdf]
[DOI]
UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection: Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan, Changtao Miao, Zixiang Luo, Nenghai Yu; [pdf]
[supplementary material]

[DOI]
Effective Presentation Attack Detection Driven by Face Related Task: Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra, Christoph Busch; [pdf]
[supplementary material]

[DOI]
PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation: Haoyu Ma, Zhe Wang, Yifei Chen, Deying Kong, Liangjian Chen, Xingwei Liu, Xiangyi Yan, Hao Tang, Xiaohui Xie; [pdf]
[DOI]
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing: Jiaxi Jiang, Paul Streli, Huajian Qiu, Andreas Fender, Larissa Laich, Patrick Snape, Christian Holz; [pdf]
[DOI]
P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation: Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao; [pdf]
[supplementary material]

[DOI]
D&D: Learning Human Dynamics from Dynamic Camera: Jiefeng Li, Siyuan Bian, Chao Xu, Gang Liu, Gang Yu, Cewu Lu; [pdf]
[supplementary material]

[DOI]
Explicit Occlusion Reasoning for Multi-Person 3D Human Pose Estimation: Qihao Liu, Yi Zhang, Song Bai, Alan Yuille; [pdf]
[supplementary material]

[DOI]
COUCH: Towards Controllable Human-Chair Interactions: Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, Gerard Pons-Moll; [pdf]
[supplementary material]

[DOI]
Identity-Aware Hand Mesh Estimation and Personalization from RGB Images: Deying Kong, Linguang Zhang, Liangjian Chen, Haoyu Ma, Xiangyi Yan, Shanlin Sun, Xingwei Liu, Kun Han, Xiaohui Xie; [pdf]
[supplementary material]

[DOI]
C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation: Cunlin Wu, Yang Xiao, Boshen Zhang, Mingyang Zhang, Zhiguo Cao, Joey Tianyi Zhou; [pdf]
[supplementary material]

[DOI]
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields: Garvita Tiwari, Dimitrije Antić, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll; [pdf]
[supplementary material]

[DOI]
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation: Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, Youliang Yan; [pdf]
[supplementary material]

[DOI]
DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation: Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu; [pdf]
[supplementary material]

[DOI]
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos: Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, Qiang Xu; [pdf]
[supplementary material]

[DOI]
PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation: Wentao Jiang, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Si Liu; [pdf]
[supplementary material]

[DOI]
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement: Junuk Cha, Muhammad Saqlain, GeonU Kim, Mingyu Shin, Seungryul Baek; [pdf]
[supplementary material]

[DOI]
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction: Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu; [pdf]
[DOI]
Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation: Zhuo Chen, Xu Zhao, Xiaoyue Wan; [pdf]
[supplementary material]

[DOI]
Audio-Driven Stylized Gesture Generation with Flow-Based Model: Sheng Ye, Yu-Hui Wen, Yanan Sun, Ying He, Ziyang Zhang, Yaoyuan Wang, Weihua He, Yong-Jin Liu; [pdf]
[supplementary material]

[DOI]
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation: Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He; [pdf]
[supplementary material]

[DOI]
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture: Hiroyasu Akada, Jian Wang, Soshi Shimada, Masaki Takahashi, Christian Theobalt, Vladislav Golyanik; [pdf]
[supplementary material]

[DOI]
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction: Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang; [pdf]
[supplementary material]

[DOI]
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation: William McNally, Kanav Vats, Alexander Wong, John McPhee; [pdf]
[DOI]
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data: Jiajun Su, Chunyu Wang, Xiaoxuan Ma, Wenjun Zeng, Yizhou Wang; [pdf]
[DOI]
Poseur: Direct Human Pose Regression with Transformers: Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel; [pdf]
[supplementary material]

[DOI]
SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation: Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia; [pdf]
[DOI]
Regularizing Vector Embedding in Bottom-Up Human Pose Estimation: Haixin Wang, Lu Zhou, Yingying Chen, Ming Tang, Jinqiao Wang; [pdf]
[DOI]
A Visual Navigation Perspective for Category-Level Object Pose Estimation: Jiaxin Guo, Fangxun Zhong, Rong Xiong, Yun-Hui Liu, Yue Wang, Yiyi Liao; [pdf]
[DOI]
Faster VoxelPose: Real-Time 3D Human Pose Estimation by Orthographic Projection: Hang Ye, Wentao Zhu, Chunyu Wang, Rujie Wu, Yizhou Wang; [pdf]
[supplementary material]

[DOI]
Learning to Fit Morphable Models: Vasileios Choutas, Federica Bogo, Jingjing Shen, Julien Valentin; [pdf]
[supplementary material]

[DOI]
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices: Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo, Siyu Tang; [pdf]
[supplementary material]

[DOI]
Grasp’D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands: Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven Dickinson, Animesh Garg; [pdf]
[supplementary material]

[DOI]
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling: Ziqian Bai, Timur Bagautdinov, Javier Romero, Michael Zollhöfer, Ping Tan, Shunsuke Saito; [pdf]
[supplementary material]

[DOI]
Deep Radial Embedding for Visual Sequence Learning: Yuecong Min, Peiqi Jiao, Yanan Li, Xiaotao Wang, Lei Lei, Xiujuan Chai, Xilin Chen; [pdf]
[supplementary material]

[DOI]
SAGA: Stochastic Whole-Body Grasping with Contact: Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang; [pdf]
[supplementary material]

[DOI]
Neural Capture of Animatable 3D Human from Monocular Video: Gusi Te, Xiu Li, Xiao Li, Jinglu Wang, Wei Hu, Yan Lu; [pdf]
[supplementary material]

[DOI]
General Object Pose Transformation Network from Unpaired Data: Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu; [pdf]
[supplementary material]

[DOI]
Compositional Human-Scene Interaction Synthesis with Semantic Control: Kaifeng Zhao, Shaofei Wang, Yan Zhang, Thabo Beeler, Siyu Tang; [pdf]
[supplementary material]

[DOI]
PressureVision: Estimating Hand Pressure from a Single RGB Image: Patrick Grady, Chengcheng Tang, Samarth Brahmbhatt, Christopher D. Twigg, Chengde Wan, James Hays, Charles C. Kemp; [pdf]
[supplementary material]

[DOI]
PoseScript: 3D Human Poses from Natural Language: Ginger Delmas, Philippe Weinzaepfel, Thomas Lucas, Francesc Moreno-Noguer, Grégory Rogez; [pdf]
[supplementary material]

[DOI]
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation: Jaewoo Park, Nam Ik Cho; [pdf]
[supplementary material]

[DOI]
3D Interacting Hand Pose Estimation by Hand De-Occlusion and Removal: Hao Meng, Sheng Jin, Wentao Liu, Chen Qian, Mengxiang Lin, Wanli Ouyang, Ping Luo; [pdf]
[supplementary material]

[DOI]
Pose for Everything: Towards Category-Agnostic Pose Estimation: Lumin Xu, Sheng Jin, Wang Zeng, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang; [pdf]
[supplementary material]

[DOI]
PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting: Thomas Lucas, Fabien Baradel, Philippe Weinzaepfel, Grégory Rogez; [pdf]
[supplementary material]

[DOI]
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation: Linzhi Huang, Jiahao Liang, Weihong Deng; [pdf]
[supplementary material]

[DOI]
Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation: Jiajun Tang, Yongjie Zhu, Haoyu Wang, Jun Hoong Chan, Si Li, Boxin Shi; [pdf]
[supplementary material]

[DOI]
Boosting Event Stream Super-Resolution with a Recurrent Neural Network: Wenming Weng, Yueyi Zhang, Zhiwei Xiong; [pdf]
[supplementary material]

[DOI]
Projective Parallel Single-Pixel Imaging to Overcome Global Illumination in 3D Structure Light Scanning: Yuxi Li, Huijie Zhao, Hongzhi Jiang, Xudong Li; [pdf]
[supplementary material]

[DOI]
Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization: Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan; [pdf]
[supplementary material]

[DOI]
Practical and Scalable Desktop-Based High-Quality Facial Capture: Alexandros Lattas, Yiming Lin, Jayanth Kannan, Ekin Ozturk, Luca Filipi, Giuseppe Claudio Guarnera, Gaurav Chawla, Abhijeet Ghosh; [pdf]
[supplementary material]

[DOI]
FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling: Haoning Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang, Wenxiu Sun, Qiong Yan, Weisi Lin; [pdf]
[DOI]
Physically-Based Editing of Indoor Scene Lighting from a Single Image: Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker; [pdf]
[supplementary material]

[DOI]
LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark: Shangchen Zhou, Chongyi Li, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects: Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao; [pdf]
[supplementary material]

[DOI]
Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset: Huanjing Yue, Zhiming Zhang, Jingyu Yang; [pdf]
[supplementary material]

[DOI]
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild: Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Learning Deep Non-Blind Image Deconvolution without Ground Truths: Yuhui Quan, Zhuojie Chen, Huan Zheng, Hui Ji; [pdf]
[supplementary material]

[DOI]
NEST: Neural Event Stack for Event-Based Image Enhancement: Minggui Teng, Chu Zhou, Hanyue Lou, Boxin Shi; [pdf]
[supplementary material]

[DOI]
Editable Indoor Lighting Estimation: Henrique Weber, Mathieu Garon, Jean-François Lalonde; [pdf]
[supplementary material]

[DOI]
Fast Two-Step Blind Optical Aberration Correction: Thomas Eboli, Jean-Michel Morel, Gabriele Facciolo; [pdf]
[supplementary material]

[DOI]
Seeing Far in the Dark with Patterned Flash: Zhanghao Sun, Jian Wang, Yicheng Wu, Shree Nayar; [pdf]
[supplementary material]

[DOI]
PseudoClick: Interactive Image Segmentation with Click Imitation: Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu; [pdf]
[supplementary material]

[DOI]
CT2: Colorization Transformer via Color Tokens: Shuchen Weng, Jimeng Sun, Yu Li, Si Li, Boxin Shi; [pdf]
[supplementary material]

[DOI]
Simple Baselines for Image Restoration: Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun; [pdf]
[supplementary material]

[DOI]
Spike Transformer: Monocular Depth Estimation for Spiking Camera: Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tiejun Huang; [pdf]
[supplementary material]

[DOI]
Improving Image Restoration by Revisiting Global Information Aggregation: Xiaojie Chu, Liangyu Chen, Chengpeng Chen, Xin Lu; [pdf]
[supplementary material]

[DOI]
Data Association between Event Streams and Intensity Frames under Diverse Baselines: Dehao Zhang, Qiankun Ding, Peiqi Duan, Chu Zhou, Boxin Shi; [pdf]
[supplementary material]

[DOI]
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration: Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, Lai-Man Po; [pdf]
[supplementary material]

[DOI]
Learning Graph Neural Networks for Image Style Transfer: Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images: Ashish Tiwari, Shanmuganathan Raman; [pdf]
[supplementary material]

[DOI]
Instance Contour Adjustment via Structure-Driven CNN: Shuchen Weng, Yi Wei, Ming-Ching Chang, Boxin Shi; [pdf]
[supplementary material]

[DOI]
Synthesizing Light Field Video from Monocular Video: Shrisudhan Govindarajan, Prasan Shedligeri, Sarah, Kaushik Mitra; [pdf]
[supplementary material]

[DOI]
Human-Centric Image Cropping with Partition-Aware and Content-Preserving Features: Bo Zhang, Li Niu, Xing Zhao, Liqing Zhang; [pdf]
[supplementary material]

[DOI]
DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting: Jihyong Oh, Munchurl Kim; [pdf]
[supplementary material]

[DOI]
Neural Image Representations for Multi-Image Fusion and Layer Separation: Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown; [pdf]
[supplementary material]

[DOI]
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion: Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato; [pdf]
[supplementary material]

[DOI]
FILM: Frame Interpolation for Large Motion: Fitsum Reda, Janne Kontkanen, Eric Tabellion, Deqing Sun, Caroline Pantofaru, Brian Curless; [pdf]
[supplementary material]

[DOI]
Video Interpolation by Event-Driven Anisotropic Adjustment of Optical Flow: Song Wu, Kaichao You, Weihua He, Chen Yang, Yang Tian, Yaoyuan Wang, Ziyang Zhang, Jianxing Liao; [pdf]
[supplementary material]

[DOI]
EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls: Ziyun Wang, Kenneth Chaney, Kostas Daniilidis; [pdf]
[supplementary material]

[DOI]
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization: Ben Xue, Shenghui Ran, Quan Chen, Rongfei Jia, Binqiang Zhao, Xing Tang; [pdf]
[supplementary material]

[DOI]
SelectionConv: Convolutional Neural Networks for Non-Rectilinear Image Data: David Hart, Michael Whitney, Bryan Morse; [pdf]
[supplementary material]

[DOI]
Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization: Jingtang Liang, Xiaodong Cun, Chi-Man Pun, Jue Wang; [pdf]
[supplementary material]

[DOI]
BigColor: Colorization Using a Generative Color Prior for Natural Images: Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, Sunghyun Cho; [pdf]
[supplementary material]

[DOI]
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution: Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, Kyoung Mu Lee; [pdf]
[supplementary material]

[DOI]
Deep Semantic Statistics Matching (D2SM) Denoising Network: Kangfu Mei, Vishal M. Patel, Rui Huang; [pdf]
[supplementary material]

[DOI]
3D Scene Inference from Transient Histograms: Sacha Jungerman, Atul Ingle, Yin Li, Mohit Gupta; [pdf]
[supplementary material]

[DOI]
Neural Space-Filling Curves: Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava; [pdf]
[supplementary material]

[DOI]
Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging: An Gia Vien, Chul Lee; [pdf]
[supplementary material]

[DOI]
Seeing through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration: Weng-Tai Su, Yi-Chun Hung, Po-Jen Yu, Shang-Hua Yang, Chia-Wen Lin; [pdf]
[supplementary material]

[DOI]
Tomography of Turbulence Strength Based on Scintillation Imaging: Nir Shaul, Yoav Y. Schechner; [pdf]
[supplementary material]

[DOI]
Realistic Blur Synthesis for Learning Image Deblurring: Jaesung Rim, Geonung Kim, Jungeon Kim, Junyong Lee, Seungyong Lee, Sunghyun Cho; [pdf]
[supplementary material]

[DOI]
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation: Zaid Tasneem, Giovanni Milione, Yi-Hsuan Tsai, Xiang Yu, Ashok Veeraraghavan, Manmohan Chandraker, Francesco Pittaluga; [pdf]
[supplementary material]

[DOI]
LWGNet – Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval: Atreyee Saha, Salman S. Khan, Sagar Sehrawat, Sanjana S. Prabhu, Shanti Bhattacharya, Kaushik Mitra; [pdf]
[supplementary material]

[DOI]
PANDORA: Polarization-Aided Neural Decomposition of Radiance: Akshat Dave, Yongyi Zhao, Ashok Veeraraghavan; [pdf]
[supplementary material]

[DOI]
HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling: Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
DVS-Voltmeter: Stochastic Process-Based Event Simulator for Dynamic Vision Sensors: Songnan Lin, Ye Ma, Zhenhua Guo, Bihan Wen; [pdf]
[supplementary material]

[DOI]
Benchmarking Omni-Vision Representation through the Lens of Visual Realms: Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
BEAT: A Large-Scale Semantic and Emotional Multi-modal Dataset for Conversational Gestures Synthesis: Haiyang Liu, Zihao Zhu, Naoya Iwamoto, Yichen Peng, Zhengqing Li, You Zhou, Elif Bozkurt, Bo Zheng; [pdf]
[supplementary material]

[DOI]
Neuromorphic Data Augmentation for Training Spiking Neural Networks: Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda; [pdf]
[DOI]
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset: Hao Zhu, Wayne Wu, Wentao Zhu, Liming Jiang, Siwei Tang, Li Zhang, Ziwei Liu, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
MovieCuts: A New Dataset and Benchmark for Cut Type Recognition: Alejandro Pardo, Fabian Caba, Juan León Alcázar, Ali Thabet, Bernard Ghanem; [pdf]
[supplementary material]

[DOI]
LaMAR: Benchmarking Localization and Mapping for Augmented Reality: Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, Marc Pollefeys; [pdf]
[DOI]
"Unitail: Detecting, Reading, and Matching in Retail Scene": Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides; [pdf]
[supplementary material]

[DOI]
Not Just Streaks: Towards Ground Truth for Single Image Deraining: Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso M. de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi; [pdf]
[supplementary material]

[DOI]
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-Verified Image-Caption Associations for MS-COCO: Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh; [pdf]
[supplementary material]

[DOI]
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric: Malte Pedersen, Joakim Bruslund Haurum, Patrick Dendorfer, Thomas B. Moeslund; [pdf]
[supplementary material]

[DOI]
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?: Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng; [pdf]
[supplementary material]

[DOI]
A Real World Dataset for Multi-View 3D Reconstruction: Rakesh Shrestha, Siqi Hu, Minghao Gou, Ziyuan Liu, Ping Tan; [pdf]
[supplementary material]

[DOI]
REALY: Rethinking the Evaluation of 3D Face Reconstruction: Zenghao Chai, Haoxian Zhang, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, Linchao Bao; [pdf]
[supplementary material]

[DOI]
"Capturing, Reconstructing, and Simulating: The UrbanScene3D Dataset": Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan, Ke Xie, Hui Huang; [pdf]
[supplementary material]

[DOI]
3D CoMPaT: Composition of Materials on Parts of 3D Things: Yuchen Li, Ujjwal Upadhyay, Habib Slim, Tezuesh Varshney, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka, Mohamed Elhoseiny; [pdf]
[DOI]
"PartImageNet: A Large, High-Quality Dataset of Parts": Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille; [pdf]
[DOI]
A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge: Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, Kenneth Marino, Roozbeh Mottaghi; [pdf]
[supplementary material]

[DOI]
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images: Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski; [pdf]
[supplementary material]

[DOI]
Facial Depth and Normal Estimation Using Single Dual-Pixel Camera: Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, Kuk-Jin Yoon; [pdf]
[supplementary material]

[DOI]
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing: Dawit Mureja Argaw, Fabian Caba, Joon-Young Lee, Markus Woodson, In So Kweon; [pdf]
[supplementary material]

[DOI]
StyleBabel: Artistic Style Tagging and Captioning: Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John Collomosse; [pdf]
[supplementary material]

[DOI]
PANDORA: A Panoramic Detection Dataset for Object with Orientation: Hang Xu, Qiang Zhao, Yike Ma, Xiaodong Li, Peng Yuan, Bailan Feng, Chenggang Yan, Feng Dai; [pdf]
[supplementary material]

[DOI]
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context: Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song; [pdf]
[supplementary material]

[DOI]
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset: Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge Belongie; [pdf]
[supplementary material]

[DOI]
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting: Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona; [pdf]
[supplementary material]

[DOI]
A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility: Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer; [pdf]
[supplementary material]

[DOI]
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis: Davide Moltisanti, Jinyi Wu, Bo Dai, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
Dress Code: High-Resolution Multi-Category Virtual Try-On: Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara; [pdf]
[supplementary material]

[DOI]
A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-Supervised Classification and Clustering: Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch; [pdf]
[supplementary material]

[DOI]
ClearPose: Large-Scale Transparent Object Dataset and Benchmark: Xiaotong Chen, Huijie Zhang, Zeren Yu, Anthony Opipari, Odest Chadwicke Jenkins; [pdf]
[supplementary material]

[DOI]
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics: Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh; [pdf]
[supplementary material]

[DOI]
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment: Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo; [pdf]
[supplementary material]

[DOI]
MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration: Thomas Hayes, Songyang Zhang, Xi Yin, Guan Pang, Sasha Sheng, Harry Yang, Songwei Ge, Qiyuan Hu, Devi Parikh; [pdf]
[supplementary material]

[DOI]
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing: Paul Upchurch, Ransen Niu; [pdf]
[supplementary material]

[DOI]
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis: Athanasios Papaioannou, Baris Gecer, Shiyang Cheng, Grigorios G. Chrysos, Jiankang Deng, Eftychia Fotiadou, Christos Kampouris, Dimitrios Kollias, Stylianos Moschoglou, Kritaphat Songsri-In, Stylianos Ploumpis, George Trigeorgis, Panagiotis Tzirakis, Evangelos Ververas, Yuxiang Zhou, Allan Ponniah, Anastasios Roussos, Stefanos Zafeiriou; [pdf]
[DOI]
"Delving into Universal Lesion Segmentation: Method, Dataset, and Benchmark": Yu Qiu, Jing Xu; [pdf]
[DOI]
Large Scale Real-World Multi-person Tracking: Bing Shuai, Alessandro Bergamo, Uta Büchler, Andrew Berneshawi, Alyssa Boden, Joseph Tighe; [pdf]
[supplementary material]

[DOI]
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights: Yuzhen Zhang, Wentong Wang, Weizhi Guo, Pei Lv, Mingliang Xu, Wei Chen, Dinesh Manocha; [pdf]
[DOI]
The Missing Link: Finding Label Relations across Datasets: Jasper Uijlings, Thomas Mensink, Vittorio Ferrari; [pdf]
[supplementary material]

[DOI]
Learning Omnidirectional Flow in 360° Video via Siamese Representation: Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan; [pdf]
[supplementary material]

[DOI]
VizWiz-FewShot: Locating Objects in Images Taken by People with Visual Impairments: Yu-Yun Tseng, Alexander Bell, Danna Gurari; [pdf]
[supplementary material]

[DOI]
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments: Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker, C.V. Jawahar; [pdf]
[supplementary material]

[DOI]
Trapped in Texture Bias? A Large Scale Comparison of Deep Instance Segmentation: Johannes Theodoridis, Jessica Hofmann, Johannes Maucher, Andreas Schilling; [pdf]
[supplementary material]

[DOI]
Deformable Feature Aggregation for Dynamic Multi-modal 3D Object Detection: Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao; [pdf]
[DOI]
WeLSA: Learning to Predict 6D Pose from Weakly Labeled Data Using Shape Alignment: Shishir Reddy Vutukur, Ivan Shugurov, Benjamin Busam, Andreas Hutter, Slobodan Ilic; [pdf]
[supplementary material]

[DOI]
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph: Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai; [pdf]
[supplementary material]

[DOI]
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection: Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li; [pdf]
[supplementary material]

[DOI]
Long-Tail Detection with Effective Class-Margins: Jang Hyun Cho, Philipp Krähenbühl; [pdf]
[supplementary material]

[DOI]
Semi-Supervised Monocular 3D Object Detection by Multi-View Consistency: Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang; [pdf]
[supplementary material]

[DOI]
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer towards Video Object Detection: Han Wang, Jun Tang, Xiaodong Liu, Shanyan Guan, Rong Xie, Li Song; [pdf]
[DOI]
BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers: Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, Jifeng Dai; [pdf]
[supplementary material]

[DOI]
Category-Level 6D Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks: Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia; [pdf]
[DOI]
Dense Teacher: Dense Pseudo-Labels for Semi-Supervised Object Detection: Hongyu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun; [pdf]
[DOI]
Point-to-Box Network for Accurate Object Detection via Single Point Supervision: Pengfei Chen, Xuehui Yu, Xumeng Han, Najmul Hassan, Kai Wang, Jiachen Li, Jian Zhao, Humphrey Shi, Zhenjun Han, Qixiang Ye; [pdf]
[supplementary material]

[DOI]
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild: Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato; [pdf]
[supplementary material]

[DOI]
Towards Data-Efficient Detection Transformers: Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Open-Vocabulary DETR with Conditional Matching: Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
Prediction-Guided Distillation for Dense Object Detection: Chenhongyi Yang, Mateusz Ochal, Amos Storkey, Elliot J. Crowley; [pdf]
[supplementary material]

[DOI]
Multimodal Object Detection via Probabilistic Ensembling: Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong; [pdf]
[supplementary material]

[DOI]
Exploiting Unlabeled Data with Vision and Language Models for Object Detection: Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas; [pdf]
[supplementary material]

[DOI]
CPO: Change Robust Panorama to Point Cloud Localization: Junho Kim, Hojun Jang, Changwoon Choi, Young Min Kim; [pdf]
[supplementary material]

[DOI]
INT: Towards Infinite-Frames 3D Detection with an Efficient Framework: Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, Xin Zhan; [pdf]
[supplementary material]

[DOI]
End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution: Mingxiang Liao, Fang Wan, Yuan Yao, Zhenjun Han, Jialing Zou, Yuze Wang, Bailan Feng, Peng Yuan, Qixiang Ye; [pdf]
[supplementary material]

[DOI]
Calibration-Free Multi-View Crowd Counting: Qi Zhang, Antoni B. Chan; [pdf]
[supplementary material]

[DOI]
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training: Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang; [pdf]
[supplementary material]

[DOI]
SuperLine3D: Self-Supervised Line Segmentation and Description for LiDAR Point Cloud: Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu; [pdf]
[supplementary material]

[DOI]
Exploring Plain Vision Transformer Backbones for Object Detection: Yanghao Li, Hanzi Mao, Ross Girshick, Kaiming He; [pdf]
[supplementary material]

[DOI]
Adversarially-Aware Robust Object Detector: Ziyi Dong, Pengxu Wei, Liang Lin; [pdf]
[supplementary material]

[DOI]
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors: Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu; [pdf]
[DOI]
You Should Look at All Objects: Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu; [pdf]
[DOI]
Detecting Twenty-Thousand Classes Using Image-Level Supervision: Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra; [pdf]
[supplementary material]

[DOI]
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation: Hongyang Li, Jiehong Lin, Kui Jia; [pdf]
[supplementary material]

[DOI]
Monocular 3D Object Detection with Depth from Motion: Tai Wang, Jiangmiao Pang, Dahua Lin; [pdf]
[supplementary material]

[DOI]
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation: Yilin Wen, Xiangyu Li, Hao Pan, Lei Yang, Zheng Wang, Taku Komura, Wenping Wang; [pdf]
[supplementary material]

[DOI]
Distilling Object Detectors with Global Knowledge: Sanli Tang, Zhongyu Zhang, Zhanzhan Cheng, Jing Lu, Yunlu Xu, Yi Niu, Fan He; [pdf]
[supplementary material]

[DOI]
Unifying Visual Perception by Dispersible Points Learning: Jianming Liang, Guanglu Song, Biao Leng, Yu Liu; [pdf]
[supplementary material]

[DOI]
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection: Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang; [pdf]
[supplementary material]

[DOI]
Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection: Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada; [pdf]
[supplementary material]

[DOI]
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features: Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski; [pdf]
[supplementary material]

[DOI]
"Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection": Maoxun Yuan, Yinyan Wang, Xingxing Wei; [pdf]
[DOI]
RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection: Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia; [pdf]
[supplementary material]

[DOI]
Rethinking IoU-Based Optimization for Single-Stage 3D Object Detection: Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao, Gim Hee Lee; [pdf]
[supplementary material]

[DOI]
TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction: Yang He, Ravi Garg, Amber Roy Chowdhury; [pdf]
[DOI]
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection: Shuang Wu, Wenjie Pei, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu; [pdf]
[supplementary material]

[DOI]
PointCLM: A Contrastive Learning-Based Framework for Multi-Instance Point Cloud Registration: Mingzhi Yuan, Zhihao Li, Qiuye Jin, Xinrong Chen, Manning Wang; [pdf]
[supplementary material]

[DOI]
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration: Haotian Bai, Ruimao Zhang, Jiong Wang, Xiang Wan; [pdf]
[supplementary material]

[DOI]
MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer: Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang; [pdf]
[supplementary material]

[DOI]
Multi-Domain Multi-Definition Landmark Localization for Small Datasets: David Ferman, Gaurav Bharaj; [pdf]
[supplementary material]

[DOI]
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection: Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu; [pdf]
[supplementary material]

[DOI]
Label-Guided Auxiliary Training Improves 3D Object Detector: Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang; [pdf]
[supplementary material]

[DOI]
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images: Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma; [pdf]
[supplementary material]

[DOI]
Densely Constrained Depth Estimator for Monocular 3D Object Detection: Yingyan Li, Yuntao Chen, Jiawei He, Zhaoxiang Zhang; [pdf]
[supplementary material]

[DOI]
Polarimetric Pose Prediction: Daoyi Gao, Yitong Li, Patrick Ruhkamp, Iuliia Skobleva, Magdalena Wysocki, HyunJun Jung, Pengyuan Wang, Arturo Guridi, Benjamin Busam; [pdf]
[supplementary material]

[DOI]
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching: Shuai Chen, Xinghui Li, Zirui Wang, Victor Adrian Prisacariu; [pdf]
[supplementary material]

[DOI]
Cornerformer: Purifying Instances for Corner-Based Detectors: Haoran Wei, Xin Chen, Lingxi Xie, Qi Tian; [pdf]
[DOI]
PillarNet: Real-Time and High-Performance Pillar-Based 3D Object Detection: Guangsheng Shi, Ruifeng Li, Chao Ma; [pdf]
[DOI]
Robust Object Detection with Inaccurate Bounding Boxes: Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang; [pdf]
[supplementary material]

[DOI]
Efficient Decoder-Free Object Detection with Transformers: Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen; [pdf]
[supplementary material]

[DOI]
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection: Yu Hong, Hang Dai, Yong Ding; [pdf]
[supplementary material]

[DOI]
ReAct: Temporal Action Detection with Relational Queries: Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Towards Accurate Active Camera Localization: Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas J. Guibas, Baoquan Chen; [pdf]
[supplementary material]

[DOI]
Camera Pose Auto-Encoders for Improving Pose Regression: Yoli Shavit, Yosi Keller; [pdf]
[supplementary material]

[DOI]
Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining: Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov; [pdf]
[supplementary material]

[DOI]
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization: Lei Zhu, Qian Chen, Lujia Jin, Yunfei You, Yanye Lu; [pdf]
[supplementary material]

[DOI]
UC-OWOD: Unknown-Classified Open World Object Detection: Zhiheng Wu, Yue Lu, Xingyu Chen, Zhengxing Wu, Liwen Kang, Junzhi Yu; [pdf]
[supplementary material]

[DOI]
RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers: Michał J. Tyszkiewicz, Kevis-Kokitsi Maninis, Stefan Popov, Vittorio Ferrari; [pdf]
[supplementary material]

[DOI]
GTCaR: Graph Transformer for Camera Re-Localization: Xinyi Li, Haibin Ling; [pdf]
[supplementary material]

[DOI]
3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone: Emeç Erçelik, Ekim Yurtsever, Mingyu Liu, Zhijie Yang, Hanzhen Zhang, Pınar Topçam, Maximilian Listl, Yılmaz Kaan Çaylı, Alois Knoll; [pdf]
[supplementary material]

[DOI]
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels: Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong; [pdf]
[supplementary material]

[DOI]
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations: Wenjie Pei, Shuang Wu, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu; [pdf]
[supplementary material]

[DOI]
SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection: Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati; [pdf]
[supplementary material]

[DOI]
ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement: Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji; [pdf]
[supplementary material]

[DOI]
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting: Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael Greenspan; [pdf]
[supplementary material]

[DOI]
Long-Tailed Instance Segmentation Using Gumbel Optimized Loss: Konstantinos Panagiotis Alexandridis, Jiankang Deng, Anh Nguyen, Shan Luo; [pdf]
[supplementary material]

[DOI]
DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection: Jinhyung Park, Chenfeng Xu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan; [pdf]
[supplementary material]

[DOI]
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection: Mohsen Zand, Ali Etemad, Michael Greenspan; [pdf]
[supplementary material]

[DOI]
Is Geometry Enough for Matching in Visual Localization?: Qunjie Zhou, Sérgio Agostinho, Aljoša Ošep, Laura Leal-Taixé; [pdf]
[supplementary material]

[DOI]
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds: Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov; [pdf]
[supplementary material]

[DOI]
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry: Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou; [pdf]
[supplementary material]

[DOI]
GLAMD: Global and Local Attention Mask Distillation for Object Detectors: Younho Jang, Wheemyung Shin, Jinbeom Kim, Simon Woo, Sung-Ho Bae; [pdf]
[supplementary material]

[DOI]
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection: Danila Rukhovich, Anna Vorontsova, Anton Konushin; [pdf]
[supplementary material]

[DOI]
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles: Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang; [pdf]
[supplementary material]

[DOI]
Class-Agnostic Object Detection with Multi-modal Transformer: Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang; [pdf]
[supplementary material]

[DOI]
Enhancing Multi-modal Features Using Local Self-Attention for 3D Object Detection: Hao Li, Zehan Zhang, Xian Zhao, Yulong Wang, Yuxi Shen, Shiliang Pu, Hui Mao; [pdf]
[DOI]
Object Detection As Probabilistic Set Prediction: Georg Hess, Christoffer Petersson, Lennart Svensson; [pdf]
[supplementary material]

[DOI]
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions: Zhi Li, Lu He, Huijuan Xu; [pdf]
[supplementary material]

[DOI]
Neural Correspondence Field for Object Pose Estimation: Lin Huang, Tomas Hodan, Lingni Ma, Linguang Zhang, Luan Tran, Christopher D. Twigg, Po-Chen Wu, Junsong Yuan, Cem Keskin, Robert Wang; [pdf]
[DOI]
On Label Granularity and Object Localization: Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha; [pdf]
[supplementary material]

[DOI]
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search: Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham; [pdf]
[supplementary material]

[DOI]
Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure: Ruoqi Li, Chongyang Zhang, Hao Zhou, Chao Shi, Yan Luo; [pdf]
[DOI]
Learning with Free Object Segments for Long-Tailed Instance Segmentation: Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao; [pdf]
[supplementary material]

[DOI]
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction: YuXuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen; [pdf]
[supplementary material]

[DOI]
3D Random Occlusion and Multi-layer Projection for Deep Multi-Camera Pedestrian Localization: Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang; [pdf]
[DOI]
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation: Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou; [pdf]
[supplementary material]

[DOI]
Simple Open-Vocabulary Object Detection with Vision Transformers: Matthias Minderer, Alexey Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby; [pdf]
[supplementary material]

[DOI]
"A Simple Approach and Benchmark for 21,000-Category Object Detection": Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu; [pdf]
[DOI]
Knowledge Condensation Distillation: Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao; [pdf]
[supplementary material]

[DOI]
Reducing Information Loss for Spiking Neural Networks: Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma; [pdf]
[DOI]
Masked Generative Distillation: Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan; [pdf]
[DOI]
Fine-Grained Data Distribution Alignment for Post-Training Quantization: Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji; [pdf]
[supplementary material]

[DOI]
Learning with Recoverable Forgetting: Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang; [pdf]
[supplementary material]

[DOI]
Efficient One Pass Self-Distillation with Zipf’s Label Smoothing: Jiajun Liang, Linze Li, Zhaodong Bing, Borui Zhao, Yao Tang, Bo Lin, Haoqiang Fan; [pdf]
[supplementary material]

[DOI]
Prune Your Model before Distill It: Jinhyuk Park, Albert No; [pdf]
[supplementary material]

[DOI]
Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference: Zhongnan Qu, Cong Liu, Lothar Thiele; [pdf]
[supplementary material]

[DOI]
Patch Similarity Aware Data-Free Quantization for Vision Transformers: Zhikai Li, Liping Ma, Mengjuan Chen, Junrui Xiao, Qingyi Gu; [pdf]
[DOI]
"L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training": Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee; [pdf]
[supplementary material]

[DOI]
Streaming Multiscale Deep Equilibrium Models: Can Ufuk Ertenli, Emre Akbas, Ramazan Gokberk Cinbis; [pdf]
[supplementary material]

[DOI]
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization: Sein Park, Yeongsang Jang, Eunhyeok Park; [pdf]
[supplementary material]

[DOI]
SP-Net: Slowly Progressing Dynamic Inference Networks: Huanyu Wang, Wenhu Zhang, Shihao Su, Hui Wang, Zhenwei Miao, Xin Zhan, Xi Li; [pdf]
[supplementary material]

[DOI]
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data: Tan Wang, Qianru Sun, Sugiri Pranata, Karlekar Jayashree, Hanwang Zhang; [pdf]
[supplementary material]

[DOI]
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance: Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, Wen Ji, Yaowei Wang, Wenwu Zhu; [pdf]
[supplementary material]

[DOI]
Event Neural Networks: Matthew Dutson, Yin Li, Mohit Gupta; [pdf]
[supplementary material]

[DOI]
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers: Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak, Hongsheng Li, Georgios Tzimiropoulos, Brais Martinez; [pdf]
[supplementary material]

[DOI]
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators: Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng; [pdf]
[supplementary material]

[DOI]
Disentangled Differentiable Network Pruning: Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang; [pdf]
[supplementary material]

[DOI]
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors: Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü; [pdf]
[supplementary material]

[DOI]
Learning to Weight Samples for Dynamic Early-Exiting Networks: Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfeng Cao, Wenhui Huang, Chao Deng, Gao Huang; [pdf]
[supplementary material]

[DOI]
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets: Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang; [pdf]
[supplementary material]

[DOI]
Adaptive Token Sampling for Efficient Vision Transformers: Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall; [pdf]
[supplementary material]

[DOI]
Weight Fixing Networks: Christopher Subia-Waud, Srinandan Dasmahapatra; [pdf]
[supplementary material]

[DOI]
Self-Slimmed Vision Transformer: Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu; [pdf]
[supplementary material]

[DOI]
Switchable Online Knowledge Distillation: Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang; [pdf]
[DOI]
l∞-Robustness and Beyond: Unleashing Efficient Adversarial Training: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie; [pdf]
[supplementary material]

[DOI]
Multi-Granularity Pruning for Model Acceleration on Mobile Devices: Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng; [pdf]
[supplementary material]

[DOI]
Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification: Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi; [pdf]
[supplementary material]

[DOI]
Helpful or Harmful: Inter-Task Association in Continual Learning: Hyundong Jin, Eunwoo Kim; [pdf]
[DOI]
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies: Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu; [pdf]
[supplementary material]

[DOI]
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks: Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari; [pdf]
[supplementary material]

[DOI]
Ensemble Knowledge Guided Sub-network Search and Fine-Tuning for Filter Pruning: Seunghyun Lee, Byung Cheol Song; [pdf]
[supplementary material]

[DOI]
Network Binarization via Contrastive Learning: Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan; [pdf]
[DOI]
Lipschitz Continuity Retained Binary Neural Network: Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan; [pdf]
[supplementary material]

[DOI]
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning: Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang; [pdf]
[supplementary material]

[DOI]
Soft Masking for Cost-Constrained Channel Pruning: Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose Alvarez; [pdf]
[supplementary material]

[DOI]
Non-uniform Step Size Quantization for Accurate Post-Training Quantization: Sangyun Oh, Hyeonuk Sim, Jounghyun Kim, Jongeun Lee; [pdf]
[supplementary material]

[DOI]
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning: Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin; [pdf]
[supplementary material]

[DOI]
Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously: Yi Sun, Jian Li, Xin Xu; [pdf]
[supplementary material]

[DOI]
Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning: Sayeed Shafayet Chowdhury, Nitin Rathi, Kaushik Roy; [pdf]
[supplementary material]

[DOI]
Towards Accurate Network Quantization with Equivalent Smooth Regularizer: Kirill Solodskikh, Vladimir Chikin, Ruslan Aydarkhanov, Dehua Song, Irina Zhelavskaya, Jiansheng Wei; [pdf]
[supplementary material]

[DOI]
Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization: Vladimir Chikin, Kirill Solodskikh, Irina Zhelavskaya; [pdf]
[supplementary material]

[DOI]
BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks: Han-Byul Kim, Eunhyeok Park, Sungjoo Yoo; [pdf]
[supplementary material]

[DOI]
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding: Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang; [pdf]
[supplementary material]

[DOI]
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks: Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma; [pdf]
[DOI]
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks: Vaikkunth Mugunthan, Eric Lin, Vignesh Gokul, Christian Lau, Lalana Kagal, Steve Pieper; [pdf]
[supplementary material]

[DOI]
Theoretical Understanding of the Information Flow on Continual Learning Performance: Joshua Andle, Salimeh Yasaei Sekeh; [pdf]
[supplementary material]

[DOI]
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks: Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda; [pdf]
[supplementary material]

[DOI]
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network: Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim; [pdf]
[supplementary material]

[DOI]
LANA: Latency Aware Network Acceleration: Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat; [pdf]
[supplementary material]

[DOI]
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization: Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar; [pdf]
[supplementary material]

[DOI]
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search: Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard; [pdf]
[supplementary material]

[DOI]
PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization: Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun; [pdf]
[DOI]
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach: Jiseok Youn, Jaehun Song, Hyung-Sin Kim, Saewoong Bahk; [pdf]
[supplementary material]

[DOI]
Understanding the Dynamics of DNNs Using Graph Modularity: Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang; [pdf]
[supplementary material]

[DOI]
Latent Discriminant Deterministic Uncertainty: Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, David Filliat; [pdf]
[supplementary material]

[DOI]
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals: Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram; [pdf]
[supplementary material]

[DOI]
HIVE: Evaluating the Human Interpretability of Visual Explanations: Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky; [pdf]
[supplementary material]

[DOI]
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks: Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata; [pdf]
[supplementary material]

[DOI]
SESS: Saliency Enhancing with Scaling and Sliding: Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes; [pdf]
[supplementary material]

[DOI]
No Token Left Behind: Explainability-Aided Image Classification and Generation: Roni Paiss, Hila Chefer, Lior Wolf; [pdf]
[supplementary material]

[DOI]
Interpretable Image Classification with Differentiable Prototypes Assignment: Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński; [pdf]
[supplementary material]

[DOI]
"Contributions of Shape, Texture, and Color in Visual Recognition": Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti; [pdf]
[supplementary material]

[DOI]
STEEX: Steering Counterfactual Explanations with Semantics: Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord; [pdf]
[supplementary material]

[DOI]
Are Vision Transformers Robust to Patch Perturbations?: Jindong Gu, Volker Tresp, Yao Qin; [pdf]
[supplementary material]

[DOI]
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & Their Explanations: Gautam Machiraju, Sylvia Plevritis, Parag Mallick; [pdf]
[supplementary material]

[DOI]
Cartoon Explanations of Image Classifiers: Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok; [pdf]
[DOI]
Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value: Quan Zheng, Ziwei Wang, Jie Zhou, Jiwen Lu; [pdf]
[DOI]
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain: Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, ShengChuan Zhang, Liujuan Cao, Rongrong Ji; [pdf]
[supplementary material]

[DOI]
Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast: Zhaodong Sun, Xiaobai Li; [pdf]
[supplementary material]

[DOI]
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing: Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong; [pdf]
[supplementary material]

[DOI]
On Mitigating Hard Clusters for Face Clustering: Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun; [pdf]
[supplementary material]

[DOI]
OneFace: One Threshold for All: Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu; [pdf]
[DOI]
Label2Label: A Language Modeling Framework for Multi-Attribute Learning: Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu; [pdf]
[supplementary material]

[DOI]
AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics: Gee-Sern Hsu, Rui-Cang Xie, Zhi-Ting Chen, Yu-Hong Lin; [pdf]
[supplementary material]

[DOI]
Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection: Zhihao Gu, Taiping Yao, Yang Chen, Shouhong Ding, Lizhuang Ma; [pdf]
[DOI]
Rethinking Robust Representation Learning under Fine-Grained Noisy Faces: Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu; [pdf]
[supplementary material]

[DOI]
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition: Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee; [pdf]
[supplementary material]

[DOI]
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions: Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim; [pdf]
[supplementary material]

[DOI]
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis: Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu; [pdf]
[supplementary material]

[DOI]
CoupleFace: Relation Matters for Face Recognition Distillation: Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu; [pdf]
[DOI]
Controllable and Guided Face Synthesis for Unconstrained Face Recognition: Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu; [pdf]
[supplementary material]

[DOI]
Towards Robust Face Recognition with Comprehensive Search: Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li; [pdf]
[DOI]
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian: Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Chen; [pdf]
[DOI]
AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning: Chenyi Kuang, Zijun Cui, Jeffrey O. Kephart, Qiang Ji; [pdf]
[supplementary material]

[DOI]
BézierPalm: A Free Lunch for Palmprint Recognition: Kai Zhao, Lei Shen, Yingyi Zhang, Chuhan Zhou, Tao Wang, Ruixin Zhang, Shouhong Ding, Wei Jia, Wei Shen; [pdf]
[supplementary material]

[DOI]
Adaptive Transformers for Robust Few-Shot Cross-Domain Face Anti-Spoofing: Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang; [pdf]
[supplementary material]

[DOI]
Face2Faceρ: Real-Time High-Resolution One-Shot Face Reenactment: Kewei Yang, Kang Chen, Daoliang Guo, Song-Hai Zhang, Yuan-Chen Guo, Weidong Zhang; [pdf]
[supplementary material]

[DOI]
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation: Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J. Black, Victoria Abrevaya; [pdf]
[supplementary material]

[DOI]
BoundaryFace: A Mining Framework with Noise Label Self-Correction for Face Recognition: Shijie Wu, Xun Gong; [pdf]
[DOI]
Pre-training Strategies and Datasets for Facial Representation Learning: Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos; [pdf]
[supplementary material]

[DOI]
Look Both Ways: Self-Supervising Driver Gaze Estimation and Road Scene Saliency: Isaac Kasahara, Simon Stent, Hyun Soo Park; [pdf]
[supplementary material]

[DOI]
MFIM: Megapixel Facial Identity Manipulation: Sanghyeon Na; [pdf]
[supplementary material]

[DOI]
3D Face Reconstruction with Dense Landmarks: Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljević, Daniel Wilde, Stephan Garbin, Toby Sharp, Ivan Stojiljković, Tom Cashman, Julien Valentin; [pdf]
[supplementary material]

[DOI]
Emotion-Aware Multi-View Contrastive Learning for Facial Emotion Recognition: Daeha Kim, Byung Cheol Song; [pdf]
[supplementary material]

[DOI]
Order Learning Using Partially Ordered Data via Chainization: Seon-Ho Lee, Chang-Su Kim; [pdf]
[supplementary material]

[DOI]
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction: Ron Slossberg, Ibrahim Jubran, Ron Kimmel; [pdf]
[supplementary material]

[DOI]
Multi-Domain Learning for Updating Face Anti-Spoofing Models: Xiao Guo, Yaojie Liu, Anil Jain, Xiaoming Liu; [pdf]
[supplementary material]

[DOI]
Towards Metrical Reconstruction of Human Faces: Wojciech Zielonka, Timo Bolkart, Justus Thies; [pdf]
[supplementary material]

[DOI]
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks: Zhiheng Li, Anthony Hoogs, Chenliang Xu; [pdf]
[supplementary material]

[DOI]
Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition: Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona; [pdf]
[supplementary material]

[DOI]
Towards Efficient Adversarial Training on Vision Transformers: Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu; [pdf]
[DOI]
MIME: Minority Inclusion for Majority Group Enhancement of AI Performance: Pradyumna Chari, Yunhao Ba, Shreeram Athreya, Achuta Kadambi; [pdf]
[supplementary material]

[DOI]
Studying Bias in GANs through the Lens of Race: Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory; [pdf]
[supplementary material]

[DOI]
"Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness": Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi; [pdf]
[supplementary material]

[DOI]
Learning to Censor by Noisy Sampling: Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar; [pdf]
[DOI]
An Invisible Black-Box Backdoor Attack through Frequency Domain: Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang; [pdf]
[supplementary material]

[DOI]
FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification: Xiaofeng Lin, Seungbae Kim, Jungseock Joo; [pdf]
[supplementary material]

[DOI]
Attaining Class-Level Forgetting in Pretrained Model Using Few Samples: Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim; [pdf]
[supplementary material]

[DOI]
Anti-Neuron Watermarking: Protecting Personal Data against Unauthorized Neural Networks: Zihang Zou, Boqing Gong, Liqiang Wang; [pdf]
[supplementary material]

[DOI]
An Impartial Take to the CNN vs Transformer Robustness Contest: Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania; [pdf]
[supplementary material]

[DOI]
Recover Fair Deep Classification Models via Altering Pre-trained Structure: Yanfu Zhang, Shangqian Gao, Heng Huang; [pdf]
[DOI]
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release: Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar; [pdf]
[supplementary material]

[DOI]
Privacy-Preserving Action Recognition via Motion Difference Quantization: Sudhakar Kumawat, Hajime Nagahara; [pdf]
[supplementary material]

[DOI]
Latent Space Smoothing for Individually Fair Representations: Momchil Peychev, Anian Ruoss, Mislav Balunović, Maximilian Baader, Martin Vechev; [pdf]
[supplementary material]

[DOI]
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration: Christian Tomani, Daniel Cremers, Florian Buettner; [pdf]
[DOI]
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations: Cemre Efe Karakas, Alara Dirik, Eylül Yalçınkaya, Pinar Yanardag; [pdf]
[supplementary material]

[DOI]
Distilling the Undistillable: Learning from a Nasty Teacher: Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N Balasubramanian, Balaji Krishnamurthy; [pdf]
[DOI]
SOS! Self-Supervised Learning over Sets of Handled Objects in Egocentric Action Recognition: Victor Escorcia, Ricardo Guerrero, Xiatian Zhu, Brais Martinez; [pdf]
[supplementary material]

[DOI]
Egocentric Activity Recognition and Localization on a 3D Map: Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li; [pdf]
[supplementary material]

[DOI]
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video: Wenqi Jia, Miao Liu, James M. Rehg; [pdf]
[supplementary material]

[DOI]
My View Is the Best View: Procedure Learning from Egocentric Videos: Siddhant Bansal, Chetan Arora, C.V. Jawahar; [pdf]
[supplementary material]

[DOI]
GIMO: Gaze-Informed Human Motion Prediction in Context: Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, Karen Liu, Leonidas J. Guibas; [pdf]
[supplementary material]

[DOI]
Image-Based CLIP-Guided Essence Transfer: Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf; [pdf]
[supplementary material]

[DOI]
Detecting and Recovering Sequential DeepFake Manipulation: Rui Shao, Tianxing Wu, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
Self-Supervised Sparse Representation for Video Anomaly Detection: Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu; [pdf]
[supplementary material]

[DOI]
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal: Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao; [pdf]
[supplementary material]

[DOI]
Explaining Deepfake Detection by Analysing Image Matching: Shichao Dong, Jin Wang, Jiajun Liang, Haoqiang Fan, Renhe Ji; [pdf]
[supplementary material]

[DOI]
FrequencyLowCut Pooling – Plug & Play against Catastrophic Overfitting: Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper; [pdf]
[supplementary material]

[DOI]
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations: Shivangi Aneja, Lev Markhasin, Matthias Nießner; [pdf]
[supplementary material]

[DOI]
FingerprintNet: Synthesized Fingerprints for Generated Image Detection: Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Pyounggeon Kim, Jongwon Choi; [pdf]
[supplementary material]

[DOI]
Detecting Generated Images by Real Images: Bo Liu, Fan Yang, Xiuli Bi, Bin Xiao, Weisheng Li, Xinbo Gao; [pdf]
[DOI]
An Information Theoretic Approach for Attention-Driven Face Forgery Detection: Ke Sun, Hong Liu, Taiping Yao, Xiaoshuai Sun, Shen Chen, Shouhong Ding, Rongrong Ji; [pdf]
[supplementary material]

[DOI]
Exploring Disentangled Content Information for Face Forgery Detection: Jiahao Liang, Huafeng Shi, Weihong Deng; [pdf]
[DOI]
RepMix: Representation Mixing for Robust Attribution of Synthesized Images: Tu Bui, Ning Yu, John Collomosse; [pdf]
[supplementary material]

[DOI]
Totems: Physical Objects for Verifying Visual Integrity: Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba; [pdf]
[supplementary material]

[DOI]
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval: Pandeng Li, Hongtao Xie, Jiannan Ge, Lei Zhang, Shaobo Min, Yongdong Zhang; [pdf]
[supplementary material]

[DOI]
PASS: Part-Aware Self-Supervised Pre-training for Person Re-identification: Kuan Zhu, Haiyun Guo, Tianyi Yan, Yousong Zhu, Jinqiao Wang, Ming Tang; [pdf]
[supplementary material]

[DOI]
Adaptive Cross-Domain Learning for Generalizable Person Re-identification: Pengyi Zhang, Huanzhang Dou, Yunlong Yu, Xi Li; [pdf]
[supplementary material]

[DOI]
Multi-Query Video Retrieval: Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky; [pdf]
[supplementary material]

[DOI]
Hierarchical Average Precision Training for Pertinent Image Retrieval: Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot; [pdf]
[supplementary material]

[DOI]
Learning Semantic Correspondence with Sparse Annotations: Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava; [pdf]
[supplementary material]

[DOI]
Dynamically Transformed Instance Normalization Network for Generalizable Person Re-identification: Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Lu Yang, Shizhou Zhang, Peng Wang, Yanning Zhang; [pdf]
[DOI]
Domain Adaptive Person Search: Junjie Li, Yichao Yan, Guanshuo Wang, Fufu Yu, Qiong Jia, Shouhong Ding; [pdf]
[supplementary material]

[DOI]
TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval: Yuqi Liu, Pengfei Xiong, Luhui Xu, Shengming Cao, Qin Jin; [pdf]
[supplementary material]

[DOI]
Unstructured Feature Decoupling for Vehicle Re-identification: Wen Qian, Hao Luo, Silong Peng, Fan Wang, Chen Chen, Hao Li; [pdf]
[supplementary material]

[DOI]
Deep Hash Distillation for Image Retrieval: Young Kyun Jang, Geonmo Gu, Byungsoo Ko, Isaac Kang, Nam Ik Cho; [pdf]
[supplementary material]

[DOI]
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification: Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun; [pdf]
[DOI]
Granularity-Aware Adaptation for Image Retrieval over Multiple Tasks: Jon Almazán, Byungsoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis; [pdf]
[supplementary material]

[DOI]
Learning Audio-Video Modalities from Image Captions: Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun, Cordelia Schmid; [pdf]
[supplementary material]

[DOI]
RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-Supervised Learning: Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh, Hao-Hsiang Yang, Hua-En Chang, Jian-Jiun Ding, Sy-Yen Kuo; [pdf]
[supplementary material]

[DOI]
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval: Fan Hu, Aozhu Chen, Ziyue Wang, Fangming Zhou, Jianfeng Dong, Xirong Li; [pdf]
[supplementary material]

[DOI]
Modality Synergy Complement Learning with Cascaded Aggregation for Visible-Infrared Person Re-identification: Yiyuan Zhang, Sanyuan Zhao, Yuhao Kang, Jianbing Shen; [pdf]
[supplementary material]

[DOI]
Cross-Modality Transformer for Visible-Infrared Person Re-identification: Kongzhu Jiang, Tianzhu Zhang, Xiang Liu, Bingqiao Qian, Yongdong Zhang, Feng Wu; [pdf]
[DOI]
Audio-Visual Mismatch-Aware Video Retrieval via Association and Adjustment: Sangmin Lee, Sungjune Park, Yong Man Ro; [pdf]
[supplementary material]

[DOI]
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search: Haokui Zhang, Buzhou Tang, Wenze Hu, Xiaoyu Wang; [pdf]
[DOI]
SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval: Yang Shen, Xuhao Sun, Xiu-Shen Wei, Qing-Yuan Jiang, Jian Yang; [pdf]
[supplementary material]

[DOI]
CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification: Jinlin Wu, Lingxiao He, Wu Liu, Yang Yang, Zhen Lei, Tao Mei, Stan Z. Li; [pdf]
[DOI]
Text-Based Temporal Localization of Novel Events: Sudipta Paul, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury; [pdf]
[supplementary material]

[DOI]
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval: Zhaopeng Dou, Zhongdao Wang, Weihua Chen, Yali Li, Shengjin Wang; [pdf]
[supplementary material]

[DOI]
Relighting4D: Neural Relightable Human from Videos: Zhaoxi Chen, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
Real-Time Intermediate Flow Estimation for Video Frame Interpolation: Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou; [pdf]
[supplementary material]

[DOI]
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation: Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji; [pdf]
[supplementary material]

[DOI]
StyleSwap: Style-Based Generator Empowers Robust Face Swapping: Zhiliang Xu, Hang Zhou, Zhibin Hong, Ziwei Liu, Jiaming Liu, Zhizhi Guo, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang; [pdf]
[supplementary material]

[DOI]
Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing: Jaskirat Singh, Liang Zheng, Cameron Smith, Jose Echevarria; [pdf]
[supplementary material]

[DOI]
FurryGAN: High Quality Foreground-Aware Image Synthesis: Jeongmin Bae, Mingi Kwon, Youngjung Uh; [pdf]
[supplementary material]

[DOI]
SCAM! Transferring Humans between Images with Semantic Cross Attention Modulation: Nicolas Dufour, David Picard, Vicky Kalogeiton; [pdf]
[supplementary material]

[DOI]
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields: Yuedong Chen, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai; [pdf]
[supplementary material]

[DOI]
WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation: Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng; [pdf]
[supplementary material]

[DOI]
End-to-End Visual Editing with a Generatively Pre-trained Artist: Andrew Brown, Cheng-Yang Fu, Omkar Parkhi, Tamara L. Berg, Andrea Vedaldi; [pdf]
[supplementary material]

[DOI]
High-Fidelity GAN Inversion with Padding Space: Qingyan Bai, Yinghao Xu, Jiapeng Zhu, Weihao Xia, Yujiu Yang, Yujun Shen; [pdf]
[supplementary material]

[DOI]
Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping: Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu; [pdf]
[supplementary material]

[DOI]
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives: Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang; [pdf]
[supplementary material]

[DOI]
Make-a-Scene: Scene-Based Text-to-Image Generation with Human Priors: Oran Gafni, Adam Polyak, Oron Ashual, Shelly Sheynin, Devi Parikh, Yaniv Taigman; [pdf]
[supplementary material]

[DOI]
3D-FM GAN: Towards 3D-Controllable Face Manipulation: Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, S.Y. Kung; [pdf]
[supplementary material]

[DOI]
Multi-Curve Translator for High-Resolution Photorealistic Image Translation: Yuda Song, Hui Qian, Xin Du; [pdf]
[supplementary material]

[DOI]
Deep Bayesian Video Frame Interpolation: Zhiyang Yu, Yu Zhang, Xujie Xiang, Dongqing Zou, Xijun Chen, Jimmy S. Ren; [pdf]
[supplementary material]

[DOI]
Cross Attention Based Style Distribution for Controllable Person Image Synthesis: Xinyue Zhou, Mingyu Yin, Xinyuan Chen, Li Sun, Changxin Gao, Qingli Li; [pdf]
[supplementary material]

[DOI]
KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoints: Marko Mihajlovic, Aayush Bansal, Michael Zollhöfer, Siyu Tang, Shunsuke Saito; [pdf]
[supplementary material]

[DOI]
ViewFormer: NeRF-Free Neural Rendering from Few Images Using Transformers: Jonáš Kulhánek, Erik Derner, Torsten Sattler, Robert Babuška; [pdf]
[supplementary material]

[DOI]
L-Tracing: Fast Light Visibility Estimation on Neural Surfaces by Sphere Tracing: Ziyu Chen, Chenjing Ding, Jianfei Guo, Dongliang Wang, Yikang Li, Xuan Xiao, Wei Wu, Li Song; [pdf]
[supplementary material]

[DOI]
A Perceptual Quality Metric for Video Frame Interpolation: Qiqi Hou, Abhijay Ghildyal, Feng Liu; [pdf]
[DOI]
Adaptive Feature Interpolation for Low-Shot Image Generation: Mengyu Dai, Haibin Hang, Xiaoyang Guo; [pdf]
[DOI]
PalGAN: Image Colorization with Palette Generative Adversarial Networks: Yi Wang, Menghan Xia, Lu Qi, Jing Shao, Yu Qiao; [pdf]
[supplementary material]

[DOI]
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis: Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
Learning Prior Feature and Attention Enhanced Image Inpainting: Chenjie Cao, Qiaole Dong, Yanwei Fu; [pdf]
[supplementary material]

[DOI]
Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning: Wenpeng Xing, Jie Chen; [pdf]
[DOI]
3D-Aware Semantic-Guided Generative Model for Human Synthesis: Jichao Zhang, Enver Sangineto, Hao Tang, Aliaksandr Siarohin, Zhun Zhong, Nicu Sebe, Wei Wang; [pdf]
[supplementary material]

[DOI]
Temporally Consistent Semantic Video Editing: Yiran Xu, Badour AlBahar, Jia-Bin Huang; [pdf]
[supplementary material]

[DOI]
Error Compensation Framework for Flow-Guided Video Inpainting: Jaeyeon Kang, Seoung Wug Oh, Seon Joo Kim; [pdf]
[supplementary material]

[DOI]
Scraping Textures from Natural Images for Synthesis and Editing: Xueting Li, Xiaolong Wang, Ming-Hsuan Yang, Alexei A. Efros, Sifei Liu; [pdf]
[supplementary material]

[DOI]
Single Stage Virtual Try-On via Deformable Attention Flows: Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang; [pdf]
[supplementary material]

[DOI]
Improving GANs for Long-Tailed Data through Group Spectral Regularization: Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu; [pdf]
[supplementary material]

[DOI]
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs: Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu; [pdf]
[supplementary material]

[DOI]
IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion: Seung-Jun Moon, Gyeong-Moon Park; [pdf]
[supplementary material]

[DOI]
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing: Guangcong Wang, Yinuo Yang, Chen Change Loy, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
Contrastive Monotonic Pixel-Level Modulation: Kun Lu, Rongpeng Li, Honggang Zhang; [pdf]
[supplementary material]

[DOI]
Learning Cross-Video Neural Representations for High-Quality Frame Interpolation: Wentao Shangguan, Yu Sun, Weijie Gan, Ulugbek S. Kamilov; [pdf]
[DOI]
Learning Continuous Implicit Representation for Near-Periodic Patterns: Bowei Chen, Tiancheng Zhi, Martial Hebert, Srinivasa G. Narasimhan; [pdf]
[supplementary material]

[DOI]
End-to-End Graph-Constrained Vectorized Floorplan Generation with Panoptic Refinement: Jiachen Liu, Yuan Xue, Jose Duarte, Krishnendra Shekhawat, Zihan Zhou, Xiaolei Huang; [pdf]
[supplementary material]

[DOI]
Few-Shot Image Generation with Mixup-Based Distance Learning: Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak; [pdf]
[supplementary material]

[DOI]
A Style-Based GAN Encoder for High Fidelity Reconstruction of Images and Videos: Xu Yao, Alasdair Newson, Yann Gousseau, Pierre Hellier; [pdf]
[supplementary material]

[DOI]
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs: Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, Bin Li; [pdf]
[supplementary material]

[DOI]
BlobGAN: Spatially Disentangled Scene Representations: Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros; [pdf]
[supplementary material]

[DOI]
Unified Implicit Neural Stylization: Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang; [pdf]
[supplementary material]

[DOI]
GAN with Multivariate Disentangling for Controllable Hair Editing: Xuyang Guo, Meina Kan, Tianle Chen, Shiguang Shan; [pdf]
[supplementary material]

[DOI]
Discovering Transferable Forensic Features for CNN-Generated Images Detection: Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung; [pdf]
[supplementary material]

[DOI]
Harmonizer: Learning to Perform White-Box Image and Video Harmonization: Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson W.H. Lau; [pdf]
[DOI]
Text2LIVE: Text-Driven Layered Image and Video Editing: Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, Tali Dekel; [pdf]
[DOI]
Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation: Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang; [pdf]
[DOI]
StyleGAN-Human: A Data-Centric Odyssey of Human Generation: Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen Change Loy, Wayne Wu, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
ColorFormer: Image Colorization via Color Memory Assisted Hybrid-Attention Transformer: Xiaozhong Ji, Boyuan Jiang, Donghao Luo, Guangpin Tao, Wenqing Chu, Zhifeng Xie, Chengjie Wang, Ying Tai; [pdf]
[supplementary material]

[DOI]
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs: Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu; [pdf]
[DOI]
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation: Dae-Young Song, Geonsoo Lee, HeeKyung Lee, Gi-Mun Um, Donghyeon Cho; [pdf]
[supplementary material]

[DOI]
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation: Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang; [pdf]
[supplementary material]

[DOI]
Multimodal Conditional Image Synthesis with Product-of-Experts GANs: Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu; [pdf]
[supplementary material]

[DOI]
Auto-Regressive Image Synthesis with Integrated Quantization: Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Changgong Zhang, Shijian Lu; [pdf]
[DOI]
JoJoGAN: One Shot Face Stylization: Min Jin Chong, David Forsyth; [pdf]
[supplementary material]

[DOI]
VecGAN: Image-to-Image Translation with Interpretable Latent Directions: Yusuf Dalva, Said Fahri Altındiş, Aysegul Dundar; [pdf]
[supplementary material]

[DOI]
Any-Resolution Training for High-Resolution Image Synthesis: Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang; [pdf]
[supplementary material]

[DOI]
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer: Zijie Wu, Zhen Zhu, Junping Du, Xiang Bai; [pdf]
[supplementary material]

[DOI]
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression: Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng; [pdf]
[supplementary material]

[DOI]
Bi-Level Feature Alignment for Versatile Image Translation and Manipulation: Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Aoran Xiao, Shijian Lu, Chunyan Miao; [pdf]
[DOI]
High-Fidelity Image Inpainting with GAN Inversion: Yongsheng Yu, Libo Zhang, Heng Fan, Tiejian Luo; [pdf]
[supplementary material]

[DOI]
DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta: Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang; [pdf]
[supplementary material]

[DOI]
Image Inpainting with Cascaded Modulation GAN and Object-Aware Training: Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo; [pdf]
[supplementary material]

[DOI]
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels: Yuchen Luo, Junwei Zhu, Keke He, Wenqing Chu, Ying Tai, Chengjie Wang, Junchi Yan; [pdf]
[supplementary material]

[DOI]
Video Extrapolation in Space and Time: Yunzhi Zhang, Jiajun Wu; [pdf]
[supplementary material]

[DOI]
Contrastive Learning for Diverse Disentangled Foreground Generation: Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh; [pdf]
[supplementary material]

[DOI]
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning: Changgyoon Oh, Wonjune Cho, Yujeong Chae, Daehee Park, Lin Wang, Kuk-Jin Yoon; [pdf]
[supplementary material]

[DOI]
Augmentation of rPPG Benchmark Datasets: Learning to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos: Cheng-Ju Hsieh, Wei-Hao Chung, Chiou-Ting Hsu; [pdf]
[supplementary material]

[DOI]
Geometry-Aware Single-Image Full-Body Human Relighting: Chaonan Ji, Tao Yu, Kaiwen Guo, Jingxin Liu, Yebin Liu; [pdf]
[supplementary material]

[DOI]
3D-Aware Indoor Scene Synthesis with Depth Priors: Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen; [pdf]
[supplementary material]

[DOI]
Deep Portrait Delighting: Joshua Weir, Junhong Zhao, Andrew Chalmers, Taehyun Rhee; [pdf]
[supplementary material]

[DOI]
Vector Quantized Image-to-Image Translation: Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee; [pdf]
[supplementary material]

[DOI]
The Surprisingly Straightforward Scene Text Removal Method with Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis: Hyeonsu Lee, Chankyu Choi; [pdf]
[supplementary material]

[DOI]
Free-Viewpoint RGB-D Human Performance Capture and Rendering: Phong Nguyen-Ha, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung; [pdf]
[supplementary material]

[DOI]
Multiview Regenerative Morphing with Dual Flows: Chih-Jung Tsai, Cheng Sun, Hwann-Tzong Chen; [pdf]
[supplementary material]

[DOI]
Hallucinating Pose-Compatible Scenes: Tim Brooks, Alexei A. Efros; [pdf]
[supplementary material]

[DOI]
Motion and Appearance Adaptation for Cross-Domain Motion Transfer: Borun Xu, Biao Wang, Jinhong Deng, Jiale Tao, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan; [pdf]
[DOI]
Layered Controllable Video Generation: Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal; [pdf]
[supplementary material]

[DOI]
Custom Structure Preservation in Face Aging: Guillermo Gomez-Trenado, Stéphane Lathuilière, Pablo Mesejo, Óscar Cordón; [pdf]
[supplementary material]

[DOI]
Spatio-Temporal Deformable Attention Network for Video Deblurring: Huicong Zhang, Haozhe Xie, Hongxun Yao; [pdf]
[DOI]
NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing: Bangbang Yang, Chong Bao, Junyi Zeng, Hujun Bao, Yinda Zhang, Zhaopeng Cui, Guofeng Zhang; [pdf]
[supplementary material]

[DOI]
NeRF for Outdoor Scene Relighting: Viktor Rudnev, Mohamed Elgharib, William Smith, Lingjie Liu, Vladislav Golyanik, Christian Theobalt; [pdf]
[supplementary material]

[DOI]
CoGS: Controllable Generation and Search from Sketch and Style: Cusuh Ham, Gemma Canet Tarrés, Tu Bui, James Hays, Zhe Lin, John Collomosse; [pdf]
[supplementary material]

[DOI]
HairNet: Hairstyle Transfer with Pose Changes: Peihao Zhu, Rameen Abdal, John Femiani, Peter Wonka; [pdf]
[supplementary material]

[DOI]
Unbiased Multi-Modality Guidance for Image Inpainting: Yongsheng Yu, Dawei Du, Libo Zhang, Tiejian Luo; [pdf]
[supplementary material]

[DOI]
Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents: Jaskirat Singh, Cameron Smith, Jose Echevarria, Liang Zheng; [pdf]
[supplementary material]

[DOI]
Motion Transformer for Unsupervised Image Animation: Jiale Tao, Biao Wang, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan; [pdf]
[supplementary material]

[DOI]
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion: Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan; [pdf]
[supplementary material]

[DOI]
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer: Chenyu Yang, Wanrong He, Yingqing Xu, Yang Gao; [pdf]
[supplementary material]

[DOI]
Editing Out-of-Domain GAN Inversion via Differential Activations: Haorui Song, Yong Du, Tianyi Xiang, Junyu Dong, Jing Qin, Shengfeng He; [pdf]
[supplementary material]

[DOI]
On the Robustness of Quality Measures for GANs: Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem; [pdf]
[supplementary material]

[DOI]
Sound-Guided Semantic Video Generation: Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Chanyoung Kim, Won Jeong Ryoo, Sang Ho Yoon, Hyunjun Cho, Jihyun Bae, Jinkyu Kim, Sangpil Kim; [pdf]
[supplementary material]

[DOI]
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation: Lingzhi Zhang, Connelly Barnes, Kevin Wampler, Sohrab Amirghodsi, Eli Shechtman, Zhe Lin, Jianbo Shi; [pdf]
[supplementary material]

[DOI]
Controllable Video Generation through Global and Local Motion Dynamics: Aram Davtyan, Paolo Favaro; [pdf]
[supplementary material]

[DOI]
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN: Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang; [pdf]
[supplementary material]

[DOI]
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer: Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh; [pdf]
[supplementary material]

[DOI]
Combining Internal and External Constraints for Unrolling Shutter in Videos: Eyal Naor, Itai Antebi, Shai Bagon, Michal Irani; [pdf]
[DOI]
WISE: Whitebox Image Stylization by Example-Based Learning: Winfried Lötzsch, Max Reimann, Martin Büssemeyer, Amir Semmo, Jürgen Döllner, Matthias Trapp; [pdf]
[supplementary material]

[DOI]
Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination: Linjie Lyu, Ayush Tewari, Thomas Leimkühler, Marc Habermann, Christian Theobalt; [pdf]
[supplementary material]

[DOI]
Transformers As Meta-Learners for Implicit Neural Representations: Yinbo Chen, Xiaolong Wang; [pdf]
[DOI]
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment: Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo; [pdf]
[supplementary material]

[DOI]
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions: Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo; [pdf]
[supplementary material]

[DOI]
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution: Hengsheng Zhang, Xueyi Zou, Jiaming Guo, Youliang Yan, Rong Xie, Li Song; [pdf]
[supplementary material]

[DOI]
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis: Jeong-gi Kwak, Yuanming Li, Dongsik Yoon, Donghyeon Kim, David Han, Hanseok Ko; [pdf]
[supplementary material]

[DOI]
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields: Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, Markus Steinberger; [pdf]
[supplementary material]

[DOI]
Improving the Perceptual Quality of 2D Animation Interpolation: Shuhong Chen, Matthias Zwicker; [pdf]
[supplementary material]

[DOI]
Selective TransHDR: Transformer-Based Selective HDR Imaging Using Ghost Region Mask: Jou Won Song, Ye-In Park, Kyeongbo Kong, Jaeho Kwak, Suk-Ju Kang; [pdf]
[supplementary material]

[DOI]
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution: Cheng Ma, Jingyi Zhang, Jie Zhou, Jiwen Lu; [pdf]
[supplementary material]

[DOI]
GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constraints: Di Chen, Yu Liu, Lianghua Huang, Bin Wang, Pan Pan; [pdf]
[DOI]
DoodleFormer: Creative Sketch Drawing with Transformers: Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg; [pdf]
[supplementary material]

[DOI]
Implicit Neural Representations for Variable Length Human Motion Generation: Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda; [pdf]
[supplementary material]

[DOI]
Learning Object Placement via Dual-Path Graph Completion: Siyuan Zhou, Liu Liu, Li Niu, Liqing Zhang; [pdf]
[supplementary material]

[DOI]
Expanded Adaptive Scaling Normalization for End to End Image Compression: Chajin Shin, Hyeongmin Lee, Hanbin Son, Sangjin Lee, Dogyoon Lee, Sangyoun Lee; [pdf]
[supplementary material]

[DOI]
Generator Knows What Discriminator Should Learn in Unconditional GANs: Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi; [pdf]
[supplementary material]

[DOI]
Compositional Visual Generation with Composable Diffusion Models: Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum; [pdf]
[supplementary material]

[DOI]
ManiFest: Manifold Deformation for Few-Shot Image Translation: Fabio Pizzati, Jean-François Lalonde, Raoul de Charette; [pdf]
[supplementary material]

[DOI]
Supervised Attribute Information Removal and Reconstruction for Image Manipulation: Nannan Li, Bryan A. Plummer; [pdf]
[supplementary material]

[DOI]
BLT: Bidirectional Layout Transformer for Controllable Layout Generation: Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa; [pdf]
[supplementary material]

[DOI]
Diverse Generation from a Single Video Made Possible: Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani; [pdf]
[DOI]
Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features: Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona; [pdf]
[supplementary material]

[DOI]
Bridging the Domain Gap towards Generalization in Automatic Colorization: Hyejin Lee, Daehee Kim, Daeun Lee, Jinkyu Kim, Jaekoo Lee; [pdf]
[supplementary material]

[DOI]
Generating Natural Images with Direct Patch Distributions Matching: Ariel Elnekave, Yair Weiss; [pdf]
[supplementary material]

[DOI]
Context-Consistent Semantic Image Editing with Style-Preserved Modulation: Wuyang Luo, Su Yang, Hong Wang, Bo Long, Weishan Zhang; [pdf]
[DOI]
Eliminating Gradient Conflict in Reference-Based Line-Art Colorization: Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang; [pdf]
[supplementary material]

[DOI]
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations: Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada; [pdf]
[supplementary material]

[DOI]
JPEG Artifacts Removal via Contrastive Representation Learning: Xi Wang, Xueyang Fu, Yurui Zhu, Zheng-Jun Zha; [pdf]
[supplementary material]

[DOI]
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning: Xiang Chen, Zhentao Fan, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, Yufeng Li; [pdf]
[DOI]
Efficient Long-Range Attention Network for Image Super-Resolution: Xindong Zhang, Hui Zeng, Shi Guo, Lei Zhang; [pdf]
[supplementary material]

[DOI]
FlowFormer: A Transformer Architecture for Optical Flow: Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, Hongsheng Li; [pdf]
[supplementary material]

[DOI]
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction: Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool; [pdf]
[DOI]
Learning Shadow Correspondence for Video Shadow Detection: Xinpeng Ding, Jingwen Yang, Xiaowei Hu, Xiaomeng Li; [pdf]
[supplementary material]

[DOI]
Metric Learning Based Interactive Modulation for Real-World Super-Resolution: Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan; [pdf]
[supplementary material]

[DOI]
Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks: Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji; [pdf]
[supplementary material]

[DOI]
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers: Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool; [pdf]
[DOI]
Highly Accurate Dichotomous Image Segmentation: Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Boosting Supervised Dehazing Methods via Bi-Level Patch Reweighting: Xingyu Jiang, Hongkun Dou, Chengwei Fu, Bingquan Dai, Tianrun Xu, Yue Deng; [pdf]
[supplementary material]

[DOI]
Flow-Guided Transformer for Video Inpainting: Kaidong Zhang, Jingjing Fu, Dong Liu; [pdf]
[supplementary material]

[DOI]
Shift-tolerant Perceptual Similarity Metric: Abhijay Ghildyal, Feng Liu; [pdf]
[DOI]
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution: Yuehan Zhang, Bo Ji, Jia Hao, Angela Yao; [pdf]
[supplementary material]

[DOI]
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder: Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng; [pdf]
[supplementary material]

[DOI]
Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution: Zhenxuan Fang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi; [pdf]
[supplementary material]

[DOI]
Learning Spatio-Temporal Downsampling for Effective Video Upscaling: Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas D. Young, Bo Zhu, Rakesh Ranjan; [pdf]
[supplementary material]

[DOI]
Learning Local Implicit Fourier Representation for Image Warping: Jaewon Lee, Kwang Pyo Choi, Kyong Hwan Jin; [pdf]
[supplementary material]

[DOI]
SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement: Canqian Yang, Meiguang Jin, Yi Xu, Rui Zhang, Ying Chen, Huaida Liu; [pdf]
[supplementary material]

[DOI]
Blind Image Decomposition: Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li; [pdf]
[supplementary material]

[DOI]
MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution: Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong; [pdf]
[supplementary material]

[DOI]
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution: Zhongwei Qiu, Huan Yang, Jianlong Fu, Dongmei Fu; [pdf]
[supplementary material]

[DOI]
Spatial-Frequency Domain Information Integration for Pan-Sharpening: Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao; [pdf]
[DOI]
Adaptive Patch Exiting for Scalable Single Image Super-Resolution: Shizun Wang, Jiaming Liu, Kaixin Chen, Xiaoqi Li, Ming Lu, Yandong Guo; [pdf]
[supplementary material]

[DOI]
Efficient Meta-Tuning for Content-Aware Neural Video Delivery: Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang; [pdf]
[supplementary material]

[DOI]
Reference-Based Image Super-Resolution with Deformable Attention Transformer: Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Local Color Distributions Prior for Image Enhancement: Haoyuan Wang, Ke Xu, Rynson W.H. Lau; [pdf]
[supplementary material]

[DOI]
L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer: Zheng Chang, Shuchen Weng, Yu Li, Si Li, Boxin Shi; [pdf]
[supplementary material]

[DOI]
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution: Xiaoming Li, Chaofeng Chen, Xianhui Lin, Wangmeng Zuo, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Towards Interpretable Video Super-Resolution via Alternating Optimization: Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Event-Based Fusion for Motion Deblurring with Cross-Modal Attention: Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Fast and High Quality Image Denoising via Malleable Convolution: Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue; [pdf]
[supplementary material]

[DOI]
TAPE: Task-Agnostic Prior Embedding for Image Restoration: Lin Liu, Lingxi Xie, Xiaopeng Zhang, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Qi Tian; [pdf]
[supplementary material]

[DOI]
Uncertainty Inspired Underwater Image Enhancement: Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma; [pdf]
[DOI]
Hourglass Attention Network for Image Inpainting: Ye Deng, Siqi Hui, Rongye Meng, Sanping Zhou, Jinjun Wang; [pdf]
[supplementary material]

[DOI]
Unfolded Deep Kernel Estimation for Blind Image Super-Resolution: Hongyi Zheng, Hongwei Yong, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Event-Guided Deblurring of Unknown Exposure Time Videos: Taewoo Kim, Jeongmin Lee, Lin Wang, Kuk-Jin Yoon; [pdf]
[supplementary material]

[DOI]
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion: Zhanbo Huang, Jinyuan Liu, Xin Fan, Risheng Liu, Wei Zhong, Zhongxuan Luo; [pdf]
[supplementary material]

[DOI]
Content Adaptive Latents and Decoder for Neural Image Compression: Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu; [pdf]
[supplementary material]

[DOI]
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution: Jie Liang, Hui Zeng, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones: Junyi Li, Xiaohe Wu, Zhenxing Niu, Wangmeng Zuo; [pdf]
[supplementary material]

[DOI]
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations: Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, Wangmeng Zuo; [pdf]
[supplementary material]

[DOI]
Secrets of Event-Based Optical Flow: Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego; [pdf]
[supplementary material]

[DOI]
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing: Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi; [pdf]
[supplementary material]

[DOI]
ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring: Bangrui Jiang, Zhihuai Xie, Zhen Xia, Songnan Li, Shan Liu; [pdf]
[DOI]
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion: Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita; [pdf]
[supplementary material]

[DOI]
ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images: Rajeev Yasarla, Carey E. Priebe, Vishal M. Patel; [pdf]
[supplementary material]

[DOI]
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion: Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma; [pdf]
[supplementary material]

[DOI]
Learning Degradation Representations for Image Deblurring: Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li; [pdf]
[supplementary material]

[DOI]
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution: Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato; [pdf]
[supplementary material]

[DOI]
Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration: Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang; [pdf]
[supplementary material]

[DOI]
Neural Color Operators for Sequential Image Retouching: Yili Wang, Xin Li, Kun Xu, Dongliang He, Qi Zhang, Fu Li, Errui Ding; [pdf]
[supplementary material]

[DOI]
Optimizing Image Compression via Joint Learning with Denoising: Ka Leong Cheng, Yueqi Xie, Qifeng Chen; [pdf]
[DOI]
"Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks": Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu; [pdf]
[supplementary material]

[DOI]
Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution: Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang; [pdf]
[supplementary material]

[DOI]
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction: Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao; [pdf]
[supplementary material]

[DOI]
Perceiving and Modeling Density for Image Dehazing: Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu, Sixiang Chen, Erkang Chen; [pdf]
[supplementary material]

[DOI]
Stripformer: Strip Transformer for Fast Image Deblurring: Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin, Chung-Chi Tsai, Chia-Wen Lin; [pdf]
[supplementary material]

[DOI]
Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction: Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong; [pdf]
[DOI]
Frequency and Spatial Dual Guidance for Image Dehazing: Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Zeyu Xiao, Feng Zhao; [pdf]
[DOI]
Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach: Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong; [pdf]
[supplementary material]

[DOI]
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution: Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang; [pdf]
[supplementary material]

[DOI]
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution: Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu; [pdf]
[supplementary material]

[DOI]
ARM: Any-Time Super-Resolution Method: Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji; [pdf]
[supplementary material]

[DOI]
Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines: Haina Qin, Longfei Han, Juan Wang, Congxuan Zhang, Yanwei Li, Bing Li, Weiming Hu; [pdf]
[supplementary material]

[DOI]
RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos: Yunhui Han, Kunming Luo, Ao Luo, Jiangyu Liu, Haoqiang Fan, Guiming Luo, Shuaicheng Liu; [pdf]
[supplementary material]

[DOI]
Memory-Augmented Model-Driven Network for Pansharpening: Keyu Yan, Man Zhou, Li Zhang, Chengjun Xie; [pdf]
[supplementary material]

[DOI]
All You Need Is RAW: Defending against Adversarial Attacks with Camera Image Pipelines: Yuxuan Zhang, Bo Dong, Felix Heide; [pdf]
[supplementary material]

[DOI]
Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer: Zhen Liu, Yinglong Wang, Bing Zeng, Shuaicheng Liu; [pdf]
[supplementary material]

[DOI]
Style-Guided Shadow Removal: Jin Wan, Hui Yin, Zhenyao Wu, Xinyi Wu, Yanting Liu, Song Wang; [pdf]
[supplementary material]

[DOI]
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution: Youwei Li, Haibin Huang, Lanpeng Jia, Haoqiang Fan, Shuaicheng Liu; [pdf]
[supplementary material]

[DOI]
GRIT-VLP: Grouped Mini-Batch Sampling for Efficient Vision and Language Pre-training: Jaeseok Byun, Taebaek Hwang, Jianlong Fu, Taesup Moon; [pdf]
[supplementary material]

[DOI]
Efficient Video Deblurring Guided by Motion Magnitude: Yusheng Wang, Yunfan Lu, Ye Gao, Lin Wang, Zhihang Zhong, Yinqiang Zheng, Atsushi Yamashita; [pdf]
[supplementary material]

[DOI]
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model: Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan; [pdf]
[DOI]
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression: A. Burakhan Koyuncu, Han Gao, Atanas Boev, Georgii Gaikov, Elena Alshina, Eckehard Steinbach; [pdf]
[supplementary material]

[DOI]
Image Super-Resolution with Deep Dictionary: Shunta Maeda; [pdf]
[supplementary material]

[DOI]
TempFormer: Temporally Consistent Transformer for Video Denoising: Mingyang Song, Yang Zhang, Tunç O. Aydın; [pdf]
[supplementary material]

[DOI]
RAWtoBit: A Fully End-to-End Camera ISP Network: Wooseok Jeong, Seung-Won Jung; [pdf]
[supplementary material]

[DOI]
DRCNet: Dynamic Image Restoration Contrastive Network: Fei Li, Lingfeng Shen, Yang Mi, Zhenbo Li; [pdf]
[supplementary material]

[DOI]
Zero-Shot Learning for Reflection Removal of Single 360-Degree Image: Byeong-Ju Han, Jae-Young Sim; [pdf]
[supplementary material]

[DOI]
Transformer with Implicit Edges for Particle-Based Physics Simulation: Yidi Shao, Chen Change Loy, Bo Dai; [pdf]
[supplementary material]

[DOI]
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior: Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, Song Wang; [pdf]
[DOI]
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images: Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan; [pdf]
[DOI]
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance: Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato; [pdf]
[supplementary material]

[DOI]
AlphaVC: High-Performance and Efficient Learned Video Compression: Yibo Shi, Yunying Ge, Jing Wang, Jue Mao; [pdf]
[supplementary material]

[DOI]
Content-Oriented Learned Image Compression: Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang; [pdf]
[DOI]
RRSR:Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection: Lin Zhang, Xin Li, Dongliang He, Fu Li, Yili Wang, Zhaoxiang Zhang; [pdf]
[supplementary material]

[DOI]
Contrastive Prototypical Network with Wasserstein Confidence Penalty: Haoqing Wang, Zhi-Hong Deng; [pdf]
[DOI]
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition: Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang; [pdf]
[supplementary material]

[DOI]
Self-Support Few-Shot Semantic Segmentation: Qi Fan, Wenjie Pei, Yu-Wing Tai, Chi-Keung Tang; [pdf]
[supplementary material]

[DOI]
Few-Shot Object Detection with Model Calibration: Qi Fan, Chi-Keung Tang, Yu-Wing Tai; [pdf]
[DOI]
Self-Supervision Can Be a Good Few-Shot Learner: Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian; [pdf]
[supplementary material]

[DOI]
tSF: Transformer-Based Semantic Filter for Few-Shot Learning: Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang; [pdf]
[DOI]
Adversarial Feature Augmentation for Cross-Domain Few-Shot Classification: Yanxu Hu, Andy J. Ma; [pdf]
[supplementary material]

[DOI]
Constructing Balance from Imbalance for Long-Tailed Image Recognition: Yue Xu, Yong-Lu Li, Jiefeng Li, Cewu Lu; [pdf]
[supplementary material]

[DOI]
"On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond": Yuzhe Yang, Hao Wang, Dina Katabi; [pdf]
[supplementary material]

[DOI]
Few-Shot Video Object Detection: Qi Fan, Chi-Keung Tang, Yu-Wing Tai; [pdf]
[supplementary material]

[DOI]
Worst Case Matters for Few-Shot Recognition: Minghao Fu, Yun-Hao Cao, Jianxin Wu; [pdf]
[DOI]
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification: Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny; [pdf]
[supplementary material]

[DOI]
Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation: Zhitong Xiong, Haopeng Li, Xiao Xiang Zhu; [pdf]
[supplementary material]

[DOI]
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation: Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng; [pdf]
[supplementary material]

[DOI]
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning: Xingping Dong, Jianbing Shen, Ling Shao; [pdf]
[DOI]
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition: Shreyank N Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach; [pdf]
[supplementary material]

[DOI]
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects: Townim Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman; [pdf]
[supplementary material]

[DOI]
Meta-Learning with Less Forgetting on Large-Scale Non-stationary Task Distributions: Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao; [pdf]
[supplementary material]

[DOI]
DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment: Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang; [pdf]
[supplementary material]

[DOI]
Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning: Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi; [pdf]
[supplementary material]

[DOI]
Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding: Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang; [pdf]
[DOI]
Few-Shot Classification with Contrastive Learning: Zhanyuan Yang, Jinghua Wang, Yingying Zhu; [pdf]
[supplementary material]

[DOI]
Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection: Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz; [pdf]
[supplementary material]

[DOI]
Self-Promoted Supervision for Few-Shot Transformer: Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo; [pdf]
[supplementary material]

[DOI]
Few-Shot Object Counting and Detection: Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai; [pdf]
[DOI]
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark: Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer; [pdf]
[supplementary material]

[DOI]
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations: Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan; [pdf]
[supplementary material]

[DOI]
Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection: Tianxue Ma, Mingwei Bi, Jian Zhang, Wang Yuan, Zhizhong Zhang, Yuan Xie, Shouhong Ding, Lizhuang Ma; [pdf]
[DOI]
Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation: Huisi Wu, Fangyan Xiao, Chongxin Liang; [pdf]
[supplementary material]

[DOI]
Improving Few-Shot Learning through Multi-task Representation Learning Theory: Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard; [pdf]
[supplementary material]

[DOI]
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation: Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang; [pdf]
[supplementary material]

[DOI]
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments: Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, Rang Nguyen; [pdf]
[supplementary material]

[DOI]
Temporal and Cross-Modal Attention for Audio-Visual Zero-Shot Learning: Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata; [pdf]
[supplementary material]

[DOI]
HM: Hybrid Masking for Few-Shot Segmentation: Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia; [pdf]
[supplementary material]

[DOI]
TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning: Haoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang, Jianguo Zhang; [pdf]
[supplementary material]

[DOI]
Kernel Relative-Prototype Spectral Filtering for Few-Shot Learning: Tao Zhang, Wu Huang; [pdf]
[supplementary material]

[DOI]
"“This Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations": Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon; [pdf]
[supplementary material]

[DOI]
CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS: Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang; [pdf]
[supplementary material]

[DOI]
Streamable Neural Fields: Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park; [pdf]
[supplementary material]

[DOI]
Gradient-Based Uncertainty for Monocular Depth Estimation: Julia Hornauer, Vasileios Belagiannis; [pdf]
[supplementary material]

[DOI]
Online Continual Learning with Contrastive Vision Transformer: Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao; [pdf]
[DOI]
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution: Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim, Sangtae Ha; [pdf]
[supplementary material]

[DOI]
EAutoDet: Efficient Architecture Search for Object Detection: Xiaoxing Wang, Jiale Lin, Juanping Zhao, Xiaokang Yang, Junchi Yan; [pdf]
[supplementary material]

[DOI]
A Max-Flow Based Approach for Neural Architecture Search: Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li; [pdf]
[DOI]
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses: Robik Shrestha, Kushal Kafle, Christopher Kanan; [pdf]
[supplementary material]

[DOI]
ERA: Enhanced Rational Activations: Martin Trimmel, Mihai Zanfir, Richard Hartley, Cristian Sminchisescu; [pdf]
[supplementary material]

[DOI]
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger: Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu; [pdf]
[supplementary material]

[DOI]
Active Label Correction Using Robust Parameter Update and Entropy Propagation: Kwang In Kim; [pdf]
[supplementary material]

[DOI]
Unpaired Image Translation via Vector Symbolic Architectures: Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash; [pdf]
[supplementary material]

[DOI]
"UniNet: Unified Architecture Search with Convolution, Transformer, and MLP": Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu; [pdf]
[DOI]
AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers: Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu; [pdf]
[supplementary material]

[DOI]
TinyViT: Fast Pretraining Distillation for Small Vision Transformers: Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan; [pdf]
[supplementary material]

[DOI]
Equivariant Hypergraph Neural Networks: Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong; [pdf]
[supplementary material]

[DOI]
ScaleNet: Searching for the Model to Scale: Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian; [pdf]
[supplementary material]

[DOI]
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction: Vincent Le Guen, Clément Rambour, Nicolas Thome; [pdf]
[supplementary material]

[DOI]
ViTAS: Vision Transformer Architecture Search: Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu; [pdf]
[supplementary material]

[DOI]
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds: Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov; [pdf]
[supplementary material]

[DOI]
Uncertainty-DTW for Time Series and Sequences: Lei Wang, Piotr Koniusz; [pdf]
[supplementary material]

[DOI]
Black-Box Few-Shot Knowledge Distillation: Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh; [pdf]
[DOI]
Revisiting Batch Norm Initialization: Jim Davis, Logan Frank; [pdf]
[DOI]
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling: Ho Man Kwan, Shenghui Song; [pdf]
[supplementary material]

[DOI]
Filter Pruning via Feature Discrimination in Deep Neural Networks: Zhiqiang He, Yaguan Qian, Yuqi Wang, Bin Wang, Xiaohui Guan, Zhaoquan Gu, Xiang Ling, Shaoning Zeng, Haijiang Wang, Wujie Zhou; [pdf]
[DOI]
LA3: Efficient Label-Aware AutoAugment: Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu; [pdf]
[supplementary material]

[DOI]
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps: Alireza Ganjdanesh, Shangqian Gao, Heng Huang; [pdf]
[supplementary material]

[DOI]
BA-Net: Bridge Attention for Deep Convolutional Neural Networks: Yue Zhao, Junzhou Chen, Zirui Zhang, Ronghui Zhang; [pdf]
[DOI]
SAU: Smooth Activation Function Using Convolution with Approximate Identities: Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey; [pdf]
[supplementary material]

[DOI]
Multi-Exit Semantic Segmentation Networks: Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas Lane; [pdf]
[supplementary material]

[DOI]
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks: Bernd Prach, Christoph H. Lampert; [pdf]
[supplementary material]

[DOI]
PointScatter: Point Set Representation for Tubular Structure Extraction: Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang; [pdf]
[supplementary material]

[DOI]
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection: Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang; [pdf]
[supplementary material]

[DOI]
Graph-Constrained Contrastive Regularization for Semi-Weakly Volumetric Segmentation: Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen; [pdf]
[supplementary material]

[DOI]
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration: Ziqi Zhou, Lei Qi, Yinghuan Shi; [pdf]
[supplementary material]

[DOI]
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation: Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth; [pdf]
[supplementary material]

[DOI]
Personalizing Federated Medical Image Segmentation via Local Calibration: Jiacheng Wang, Yueming Jin, Liansheng Wang; [pdf]
[supplementary material]

[DOI]
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement: Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang; [pdf]
[supplementary material]

[DOI]
Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization: Ming-Yang Ho, Min-Sheng Wu, Che-Ming Wu; [pdf]
[supplementary material]

[DOI]
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation: Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li; [pdf]
[supplementary material]

[DOI]
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images: Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao; [pdf]
[supplementary material]

[DOI]
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images: Axel Levy, Frédéric Poitevin, Julien Martel, Youssef Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein; [pdf]
[supplementary material]

[DOI]
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier: Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu; [pdf]
[supplementary material]

[DOI]
DLME: Deep Local-Flatness Manifold Embedding: Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li; [pdf]
[supplementary material]

[DOI]
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching: Jiazhen Liu, Xirong Li, Qijie Wei, Jie Xu, Dayong Ding; [pdf]
[supplementary material]

[DOI]
Graph Neural Network for Cell Tracking in Microscopy Videos: Tal Ben-Haim, Tammy Riklin Raviv; [pdf]
[supplementary material]

[DOI]
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation: Yujin Oh, Jong Chul Ye; [pdf]
[supplementary material]

[DOI]
Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels: Qinwen Huang, Ye Zhou, Hsuan-Fu Liu, Alberto Bartesaghi; [pdf]
[supplementary material]

[DOI]
K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment: Minkyu Jeon, Hyeonjin Park, Hyunwoo J. Kim, Michael Morley, Hyunghoon Cho; [pdf]
[supplementary material]

[DOI]
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification: Moinak Bhattacharya, Shubham Jain, Prateek Prasanna; [pdf]
[supplementary material]

[DOI]
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images: Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel; [pdf]
[supplementary material]

[DOI]
Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis: Chongyang Zhong, Lei Hu, Zihao Zhang, Shihong Xia; [pdf]
[supplementary material]

[DOI]
Towards Grand Unification of Object Tracking: Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu; [pdf]
[supplementary material]

[DOI]
ByteTrack: Multi-Object Tracking by Associating Every Detection Box: Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang; [pdf]
[supplementary material]

[DOI]
Robust Multi-Object Tracking by Marginal Inference: Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu; [pdf]
[supplementary material]

[DOI]
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?: Aleksandr Kim, Guillem Brasó, Aljoša Ošep, Laura Leal-Taixé; [pdf]
[supplementary material]

[DOI]
Particle Video Revisited: Tracking through Occlusions Using Point Trajectories: Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki; [pdf]
[DOI]
Tracking Objects As Pixel-Wise Distributions: Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia; [pdf]
[supplementary material]

[DOI]
CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds: Zhiyang Guo, Yunyao Mao, Wengang Zhou, Min Wang, Houqiang Li; [pdf]
[supplementary material]

[DOI]
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline: Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Aleš Leonardis, Feng Zheng; [pdf]
[supplementary material]

[DOI]
Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting: Dooseop Choi, KyoungWook Min; [pdf]
[supplementary material]

[DOI]
AiATrack: Attention in Attention for Transformer Visual Tracking: Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan; [pdf]
[supplementary material]

[DOI]
Disentangling Architecture and Training for Optical Flow: Deqing Sun, Charles Herrmann, Fitsum Reda, Michael Rubinstein, David J. Fleet, William T. Freeman; [pdf]
[supplementary material]

[DOI]
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow: Jenny Schmalfuss, Philipp Scholze, Andrés Bruhn; [pdf]
[supplementary material]

[DOI]
Robust Landmark-Based Stent Tracking in X-Ray Fluoroscopy: Luojie Huang, Yikang Liu, Li Chen, Eric Z. Chen, Xiao Chen, Shanhui Sun; [pdf]
[supplementary material]

[DOI]
Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations: Song Wen, Hao Wang, Dimitris N. Metaxas; [pdf]
[DOI]
Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction: Li-Wu Tsao, Yan-Kai Wang, Hao-Siang Lin, Hong-Han Shuai, Lai-Kuan Wong, Wen-Huang Cheng; [pdf]
[supplementary material]

[DOI]
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors: Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui; [pdf]
[supplementary material]

[DOI]
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction: Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon; [pdf]
[DOI]
Sequential Multi-View Fusion Network for Fast LiDAR Point Motion Estimation: Gang Zhang, Xiaoyan Li, Zhenhua Wang; [pdf]
[supplementary material]

[DOI]
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs: Yanyan Li, Federico Tombari; [pdf]
[supplementary material]

[DOI]
Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving: Sukai Wang, Ming Liu; [pdf]
[supplementary material]

[DOI]
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework: Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen; [pdf]
[supplementary material]

[DOI]
MotionCLIP: Exposing Human Motion Generation to CLIP Space: Guy Tevet, Brian Gordon, Amir Hertz, Amit H. Bermano, Daniel Cohen-Or; [pdf]
[supplementary material]

[DOI]
Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking: Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang; [pdf]
[supplementary material]

[DOI]
Aware of the History: Trajectory Forecasting with the Local Behavior Data: Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann; [pdf]
[supplementary material]

[DOI]
Optical Flow Training under Limited Label Budget via Active Learning: Shuai Yuan, Xian Sun, Hannah Kim, Shuzhi Yu, Carlo Tomasi; [pdf]
[supplementary material]

[DOI]
Hierarchical Feature Embedding for Visual Tracking: Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang, Chen Li; [pdf]
[supplementary material]

[DOI]
Tackling Background Distraction in Video Object Segmentation: Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park, Sungjun Jang, Minjung Kim, Sangyoun Lee; [pdf]
[DOI]
Social-Implicit: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation: Abduallah Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, Christian Claudel; [pdf]
[supplementary material]

[DOI]
TEMOS: Generating Diverse Human Motions from Textual Descriptions: Mathis Petrovich, Michael J. Black, Gül Varol; [pdf]
[supplementary material]

[DOI]
Tracking Every Thing in the Wild: Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu; [pdf]
[supplementary material]

[DOI]
HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance: Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt; [pdf]
[supplementary material]

[DOI]
Towards Sequence-Level Training for Visual Tracking: Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho; [pdf]
[supplementary material]

[DOI]
Learned Monocular Depth Priors in Visual-Inertial Initialization: Yunwen Zhou, Abhishek Kar, Eric Turner, Adarsh Kowdle, Chao X. Guo, Ryan C. DuToit, Konstantine Tsotsos; [pdf]
[supplementary material]

[DOI]
Robust Visual Tracking by Segmentation: Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
MeshLoc: Mesh-Based Visual Localization: Vojtech Panek, Zuzana Kukelova, Torsten Sattler; [pdf]
[supplementary material]

[DOI]
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction: Yu-Wen Chen, Hsuan-Kung Yang, Chu-Chi Chiu, Chun-Yi Lee; [pdf]
[DOI]
Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization: Xuhui Tian, Xinran Lin, Fan Zhong, Xueying Qin; [pdf]
[supplementary material]

[DOI]
"FEAR: Fast, Efficient, Accurate and Robust Visual Tracker": Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiři Matas; [pdf]
[supplementary material]

[DOI]
PREF: Predictability Regularized Neural Motion Fields: Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu; [pdf]
[supplementary material]

[DOI]
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums: Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan, Qiong Cao, Yibo Yang, Xinge You; [pdf]
[DOI]
"HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking": Haoxian Zhang, Yonggen Ling; [pdf]
[supplementary material]

[DOI]
RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer: Jianfeng Xiang, Junliang Chen, Wenshuang Liu, Xianxu Hou, Linlin Shen; [pdf]
[supplementary material]

[DOI]
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image: Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang; [pdf]
[supplementary material]

[DOI]
Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation: Guangcong Zheng, Shengming Li, Hui Wang, Taiping Yao, Yang Chen, Shouhong Ding, Xi Li; [pdf]
[supplementary material]

[DOI]
Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling: Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng; [pdf]
[supplementary material]

[DOI]
Learning to Generate Realistic LiDAR Point Clouds: Vlas Zyrianov, Xiyue Zhu, Shenlong Wang; [pdf]
[supplementary material]

[DOI]
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds: Tuan-Anh Vu, Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung; [pdf]
[DOI]
Diverse Image Inpainting with Normalizing Flow: Cairong Wang, Yiming Zhu, Chun Yuan; [pdf]
[supplementary material]

[DOI]
Improved Masked Image Generation with Token-Critic: José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa; [pdf]
[supplementary material]

[DOI]
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation: Junghyuk Lee, Jong-Seok Lee; [pdf]
[supplementary material]

[DOI]
Exploring Gradient-Based Multi-directional Controls in GANs: Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi; [pdf]
[supplementary material]

[DOI]
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition: Tianyu Wang, Miaomiao Liu, Kee Siong Ng; [pdf]
[supplementary material]

[DOI]
Neural Scene Decoration from a Single Photograph: Hong-Wing Pang, Yingshu Chen, Phuoc-Hieu Le, Binh-Son Hua, Thanh Nguyen, Sai-Kit Yeung; [pdf]
[supplementary material]

[DOI]
Outpainting by Queries: Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang; [pdf]
[supplementary material]

[DOI]
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes: Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks; [pdf]
[supplementary material]

[DOI]
ChunkyGAN: Real Image Inversion via Segments: Adéla Šubrtová, David Futschik, Jan Čech, Michal Lukáč, Eli Shechtman, Daniel Sýkora; [pdf]
[supplementary material]

[DOI]
GAN Cocktail: Mixing GANs without Dataset Access: Omri Avrahami, Dani Lischinski, Ohad Fried; [pdf]
[supplementary material]

[DOI]
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering: Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Yujun Cai, Jiashi Feng, Shuicheng Yan; [pdf]
[supplementary material]

[DOI]
Controllable Shadow Generation Using Pixel Height Maps: Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Oztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes; [pdf]
[supplementary material]

[DOI]
Learning Where to Look – Generative NAS Is Surprisingly Efficient: Jovita Lukasik, Steffen Jung, Margret Keuper; [pdf]
[supplementary material]

[DOI]
Subspace Diffusion Generative Models: Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola; [pdf]
[supplementary material]

[DOI]
DuelGAN: A Duel between Two Discriminators Stabilizes the GAN Training: Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu; [pdf]
[supplementary material]

[DOI]
MINER: Multiscale Implicit Neural Representation: Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan; [pdf]
[supplementary material]

[DOI]
An Embedded Feature Whitening Approach to Deep Neural Network Optimization: Hongwei Yong, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization: Alp Yurtsever, Tolga Birdal, Vladislav Golyanik; [pdf]
[supplementary material]

[DOI]
Self-Supervised Learning of Visual Graph Matching: Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan; [pdf]
[DOI]
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models: Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang; [pdf]
[supplementary material]

[DOI]
QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving lq-Norm Optimization Problem: Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu; [pdf]
[supplementary material]

[DOI]
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning: Qiankun Gao, Chen Zhao, Bernard Ghanem, Jian Zhang; [pdf]
[supplementary material]

[DOI]
Domain Generalization by Mutual-Information Regularization with Pre-trained Models: Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun; [pdf]
[supplementary material]

[DOI]
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning: Damien Teney, Maxime Peyrard, Ehsan Abbasnejad; [pdf]
[supplementary material]

[DOI]
Neural-Sim: Learning to Generate Training Data with NeRF: Yunhao Ge, Harkirat Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet; [pdf]
[supplementary material]

[DOI]
Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning: Hanwei Fan, Jiandong Mu, Wei Zhang; [pdf]
[supplementary material]

[DOI]
Learned Variational Video Color Propagation: Markus Hofinger, Erich Kobler, Alexander Effland, Thomas Pock; [pdf]
[supplementary material]

[DOI]
Continual Variational Autoencoder Learning via Online Cooperative Memorization: Fei Ye, Adrian G. Bors; [pdf]
[supplementary material]

[DOI]
Learning to Learn with Smooth Regularization: Yuanhao Xiong, Cho-Jui Hsieh; [pdf]
[supplementary material]

[DOI]
Incremental Task Learning with Incremental Rank Updates: Rakib Hyder, Ken Shao, Boyu Hou, Panos Markopoulos, Ashley Prater-Bennette, M. Salman Asif; [pdf]
[supplementary material]

[DOI]
Batch-Efficient EigenDecomposition for Small and Medium Matrices: Yue Song, Nicu Sebe, Wei Wang; [pdf]
[supplementary material]

[DOI]
Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging: Chengshuai Yang, Shiyu Zhang, Xin Yuan; [pdf]
[supplementary material]

[DOI]
Approximate Discrete Optimal Transport Plan with Auxiliary Measure Method: Dongsheng An, Na Lei, Xianfeng Gu; [pdf]
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[DOI]
A Comparative Study of Graph Matching Algorithms in Computer Vision: Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy; [pdf]
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[DOI]
Improving Generalization in Federated Learning by Seeking Flat Minima: Debora Caldarola, Barbara Caputo, Marco Ciccone; [pdf]
[supplementary material]

[DOI]
Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not: Liangzu Peng, Mahyar Fazlyab, René Vidal; [pdf]
[DOI]
Transfer without Forgetting: Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara; [pdf]
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[DOI]
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation: Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei; [pdf]
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[DOI]
Tackling Long-Tailed Category Distribution under Domain Shifts: Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang; [pdf]
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[DOI]
Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation: Li Gao, Dong Nie, Bo Li, Xiaofeng Ren; [pdf]
[supplementary material]

[DOI]
Improving Vision Transformers by Revisiting High-Frequency Components: Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu; [pdf]
[supplementary material]

[DOI]
Recurrent Bilinear Optimization for Binary Neural Networks: Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo; [pdf]
[DOI]
Neural Architecture Search for Spiking Neural Networks: Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda; [pdf]
[supplementary material]

[DOI]
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification: Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock; [pdf]
[supplementary material]

[DOI]
DaViT: Dual Attention Vision Transformers: Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan; [pdf]
[supplementary material]

[DOI]
Optimal Transport for Label-Efficient Visible-Infrared Person Re-identification: Jiangming Wang, Zhizhong Zhang, Mingang Chen, Yi Zhang, Cong Wang, Bin Sheng, Yanyun Qu, Yuan Xie; [pdf]
[supplementary material]

[DOI]
Locality Guidance for Improving Vision Transformers on Tiny Datasets: Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan, Guoli Song, Jie Chen; [pdf]
[supplementary material]

[DOI]
Neighborhood Collective Estimation for Noisy Label Identification and Correction: Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu; [pdf]
[supplementary material]

[DOI]
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay: Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang; [pdf]
[supplementary material]

[DOI]
Anti-Retroactive Interference for Lifelong Learning: Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo; [pdf]
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[DOI]
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning: Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu; [pdf]
[supplementary material]

[DOI]
Dynamic Metric Learning with Cross-Level Concept Distillation: Wenzhao Zheng, Yuanhui Huang, Borui Zhang, Jie Zhou, Jiwen Lu; [pdf]
[supplementary material]

[DOI]
MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing: Linhui Sun, Yifan Zhang, Ke Cheng, Jian Cheng, Hanqing Lu; [pdf]
[DOI]
Out-of-Distribution Detection with Boundary Aware Learning: Sen Pei, Xin Zhang, Bin Fan, Gaofeng Meng; [pdf]
[supplementary material]

[DOI]
Learning Hierarchy Aware Features for Reducing Mistake Severity: Ashima Garg, Depanshu Sani, Saket Anand; [pdf]
[supplementary material]

[DOI]
Learning to Detect Every Thing in an Open World: Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko; [pdf]
[supplementary material]

[DOI]
KVT: k-NN Attention for Boosting Vision Transformers: Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin; [pdf]
[supplementary material]

[DOI]
Registration Based Few-Shot Anomaly Detection: Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael Spratling, Yan-Feng Wang; [pdf]
[supplementary material]

[DOI]
Improving Robustness by Enhancing Weak Subnets: Yong Guo, David Stutz, Bernt Schiele; [pdf]
[supplementary material]

[DOI]
Learning Invariant Visual Representations for Compositional Zero-Shot Learning: Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo; [pdf]
[DOI]
Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality: Yue Song, Nicu Sebe, Wei Wang; [pdf]
[supplementary material]

[DOI]
Out-of-Distribution Detection with Semantic Mismatch under Masking: Yijun Yang, Ruiyuan Gao, Qiang Xu; [pdf]
[supplementary material]

[DOI]
Data-Free Neural Architecture Search via Recursive Label Calibration: Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner; [pdf]
[supplementary material]

[DOI]
Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion: Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning; [pdf]
[supplementary material]

[DOI]
Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels: Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng; [pdf]
[supplementary material]

[DOI]
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers: Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li; [pdf]
[supplementary material]

[DOI]
MaxViT: Multi-axis Vision Transformer: Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, Yinxiao Li; [pdf]
[supplementary material]

[DOI]
ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer: Rui Yang, Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao, Min Zheng, Xiu Li; [pdf]
[supplementary material]

[DOI]
Three Things Everyone Should Know about Vision Transformers: Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou; [pdf]
[supplementary material]

[DOI]
DeiT III: Revenge of the ViT: Hugo Touvron, Matthieu Cord, Hervé Jégou; [pdf]
[supplementary material]

[DOI]
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition: Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang; [pdf]
[supplementary material]

[DOI]
Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition: Zhou Yang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi; [pdf]
[supplementary material]

[DOI]
Novel Class Discovery without Forgetting: K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian; [pdf]
[supplementary material]

[DOI]
SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification: Yan Hong, Jianfu Zhang, Zhongyi Sun, Ke Yan; [pdf]
[supplementary material]

[DOI]
Negative Samples Are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification: Hyungtae Lee, Sungmin Eum, Heesung Kwon; [pdf]
[supplementary material]

[DOI]
Discrete-Constrained Regression for Local Counting Models: Haipeng Xiong, Angela Yao; [pdf]
[supplementary material]

[DOI]
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition: Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos; [pdf]
[supplementary material]

[DOI]
Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection: Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan Kankanhalli; [pdf]
[supplementary material]

[DOI]
A Fast Knowledge Distillation Framework for Visual Recognition: Zhiqiang Shen, Eric Xing; [pdf]
[supplementary material]

[DOI]
DICE: Leveraging Sparsification for Out-of-Distribution Detection: Yiyou Sun, Yixuan Li; [pdf]
[supplementary material]

[DOI]
Invariant Feature Learning for Generalized Long-Tailed Classification: Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang; [pdf]
[supplementary material]

[DOI]
Sliced Recursive Transformer: Zhiqiang Shen, Zechun Liu, Eric Xing; [pdf]
[supplementary material]

[DOI]
Cross-Domain Ensemble Distillation for Domain Generalization: Kyungmoon Lee, Sungyeon Kim, Suha Kwak; [pdf]
[supplementary material]

[DOI]
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels: Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu; [pdf]
[DOI]
Hyperspherical Learning in Multi-Label Classification: Bo Ke, Yunquan Zhu, Mengtian Li, Xiujun Shu, Ruizhi Qiao, Bo Ren; [pdf]
[supplementary material]

[DOI]
When Active Learning Meets Implicit Semantic Data Augmentation: Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li; [pdf]
[DOI]
VL-LTR: Learning Class-Wise Visual-Linguistic Representation for Long-Tailed Visual Recognition: Changyao Tian, Wenhai Wang, Xizhou Zhu, Jifeng Dai, Yu Qiao; [pdf]
[supplementary material]

[DOI]
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization: Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang; [pdf]
[supplementary material]

[DOI]
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection: Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt; [pdf]
[supplementary material]

[DOI]
Tracking by Associating Clips: Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee; [pdf]
[DOI]
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples: Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto; [pdf]
[supplementary material]

[DOI]
Background-Insensitive Scene Text Recognition with Text Semantic Segmentation: Liang Zhao, Zhenyao Wu, Xinyi Wu, Greg Wilsbacher, Song Wang; [pdf]
[DOI]
Semantic Novelty Detection via Relational Reasoning: Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi; [pdf]
[supplementary material]

[DOI]
Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers: Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava; [pdf]
[supplementary material]

[DOI]
Training Vision Transformers with Only 2040 Images: Yun-Hao Cao, Hao Yu, Jianxin Wu; [pdf]
[supplementary material]

[DOI]
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection: Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee; [pdf]
[supplementary material]

[DOI]
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs: Shantanu Jaiswal, Basura Fernando, Cheston Tan; [pdf]
[supplementary material]

[DOI]
Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars: Hao Chen, Xiu-Shen Wei, Faen Zhang, Yang Shen, Hui Xu, Liang Xiao; [pdf]
[supplementary material]

[DOI]
Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain: Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer; [pdf]
[supplementary material]

[DOI]
Photo-Realistic Neural Domain Randomization: Sergey Zakharov, Rareș Ambruș, Vitor Guizilini, Wadim Kehl, Adrien Gaidon; [pdf]
[supplementary material]

[DOI]
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning: Ting Yao, Yingwei Pan, Yehao Li, Chong-Wah Ngo, Tao Mei; [pdf]
[DOI]
Tailoring Self-Supervision for Supervised Learning: WonJun Moon, Ji-Hwan Kim, Jae-Pil Heo; [pdf]
[supplementary material]

[DOI]
Difficulty-Aware Simulator for Open Set Recognition: WonJun Moon, Junho Park, Hyun Seok Seong, Cheol-Ho Cho, Jae-Pil Heo; [pdf]
[supplementary material]

[DOI]
Few-Shot Class-Incremental Learning from an Open-Set Perspective: Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell; [pdf]
[supplementary material]

[DOI]
FOSTER: Feature Boosting and Compression for Class-Incremental Learning: Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan; [pdf]
[supplementary material]

[DOI]
Visual Knowledge Tracing: Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha; [pdf]
[supplementary material]

[DOI]
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning: Jayateja Kalla, Soma Biswas; [pdf]
[DOI]
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism: Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu; [pdf]
[DOI]
VSA: Learning Varied-Size Window Attention in Vision Transformers: Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Unbiased Manifold Augmentation for Coarse Class Subdivision: Baoming Yan, Ke Gao, Bo Gao, Lin Wang, Jiang Yang, Xiaobo Li; [pdf]
[DOI]
DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition: Matej Grcić, Petra Bevandić, Siniša Šegvić; [pdf]
[supplementary material]

[DOI]
Rethinking Confidence Calibration for Failure Prediction: Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu; [pdf]
[supplementary material]

[DOI]
Uncertainty-Guided Source-Free Domain Adaptation: Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin; [pdf]
[supplementary material]

[DOI]
Should All Proposals Be Treated Equally in Object Detection?: Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos; [pdf]
[DOI]
VIP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers: Junbo Li, Huan Zhang, Cihang Xie; [pdf]
[supplementary material]

[DOI]
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection: Amanda Rios, Nilesh Ahuja, Ibrahima Ndiour, Utku Genc, Laurent Itti, Omesh Tickoo; [pdf]
[supplementary material]

[DOI]
IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition: Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu; [pdf]
[DOI]
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions: Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard; [pdf]
[supplementary material]

[DOI]
Rotation Regularization without Rotation: Takumi Kobayashi; [pdf]
[supplementary material]

[DOI]
Towards Accurate Open-Set Recognition via Background-Class Regularization: Wonwoo Cho, Jaegul Choo; [pdf]
[supplementary material]

[DOI]
In Defense of Image Pre-training for Spatiotemporal Recognition: Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan Yuille, Yuyin Zhou, Cihang Xie; [pdf]
[supplementary material]

[DOI]
Augmenting Deep Classifiers with Polynomial Neural Networks: Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar; [pdf]
[supplementary material]

[DOI]
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection: Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang; [pdf]
[supplementary material]

[DOI]
Online Task-Free Continual Learning with Dynamic Sparse Distributed Memory: Julien Pourcel, Ngoc-Son Vu, Robert M. French; [pdf]
[DOI]
Contrastive Deep Supervision: Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma; [pdf]
[DOI]
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective: Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Boyan Zhou, Jiajun Liang, Osamu Yoshie; [pdf]
[supplementary material]

[DOI]
LocVTP: Video-Text Pre-training for Temporal Localization: Meng Cao, Tianyu Yang, Junwu Weng, Can Zhang, Jue Wang, Yuexian Zou; [pdf]
[supplementary material]

[DOI]
Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads: Jiawei Ma, Guangxing Han, Shiyuan Huang, Yuncong Yang, Shih-Fu Chang; [pdf]
[supplementary material]

[DOI]
Implicit Neural Representations for Image Compression: Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari; [pdf]
[supplementary material]

[DOI]
LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space: Emre Aksan, Shugao Ma, Akin Caliskan, Stanislav Pidhorskyi, Alexander Richard, Shih-En Wei, Jason Saragih, Otmar Hilliges; [pdf]
[supplementary material]

[DOI]
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining: Qihang Zhang, Zhenghao Peng, Bolei Zhou; [pdf]
[supplementary material]

[DOI]
Learning Ego 3D Representation As Ray Tracing: Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang; [pdf]
[supplementary material]

[DOI]
Static and Dynamic Concepts for Self-Supervised Video Representation Learning: Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin; [pdf]
[supplementary material]

[DOI]
SphereFed: Hyperspherical Federated Learning: Xin Dong, Sai Qian Zhang, Ang Li, H.T. Kung; [pdf]
[supplementary material]

[DOI]
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning: Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas; [pdf]
[supplementary material]

[DOI]
Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning: Mingda Wang, Canqian Yang, Yi Xu; [pdf]
[supplementary material]

[DOI]
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning: Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning: Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen; [pdf]
[supplementary material]

[DOI]
CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One: Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong; [pdf]
[supplementary material]

[DOI]
Manifold Adversarial Learning for Cross-Domain 3D Shape Representation: Hao Huang, Cheng Chen, Yi Fang; [pdf]
[supplementary material]

[DOI]
Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches: Yuanzheng Ci, Chen Lin, Lei Bai, Wanli Ouyang; [pdf]
[supplementary material]

[DOI]
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling: Boyan Jiang, Xinlin Ren, Mingsong Dou, Xiangyang Xue, Yanwei Fu, Yinda Zhang; [pdf]
[supplementary material]

[DOI]
On the Versatile Uses of Partial Distance Correlation in Deep Learning: Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh; [pdf]
[supplementary material]

[DOI]
Self-Regulated Feature Learning via Teacher-Free Feature Distillation: Lujun Li; [pdf]
[supplementary material]

[DOI]
Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning: Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu; [pdf]
[supplementary material]

[DOI]
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification: Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin, Qi Chu, Jinyang Huang, Feng Zhu, Rui Zhao, Nenghai Yu; [pdf]
[supplementary material]

[DOI]
DAS: Densely-Anchored Sampling for Deep Metric Learning: Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang; [pdf]
[supplementary material]

[DOI]
Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition: Yuhang Zhang, Chengrui Wang, Xu Ling, Weihong Deng; [pdf]
[supplementary material]

[DOI]
A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning: Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci; [pdf]
[supplementary material]

[DOI]
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers: Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu; [pdf]
[DOI]
UFO: Unified Feature Optimization: Teng Xi, Yifan Sun, Deli Yu, Bi Li, Nan Peng, Gang Zhang, Xinyu Zhang, Zhigang Wang, Jinwen Chen, Jian Wang, Lufei Liu, Haocheng Feng, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang; [pdf]
[supplementary material]

[DOI]
Sound Localization by Self-Supervised Time Delay Estimation: Ziyang Chen, David F. Fouhey, Andrew Owens; [pdf]
[supplementary material]

[DOI]
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation: Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao; [pdf]
[supplementary material]

[DOI]
SLIP: Self-Supervision Meets Language-Image Pre-training: Norman Mu, Alexander Kirillov, David Wagner, Saining Xie; [pdf]
[supplementary material]

[DOI]
Discovering Deformable Keypoint Pyramids: Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman; [pdf]
[supplementary material]

[DOI]
Neural Video Compression Using GANs for Detail Synthesis and Propagation: Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici; [pdf]
[supplementary material]

[DOI]
A Contrastive Objective for Learning Disentangled Representations: Jonathan Kahana, Yedid Hoshen; [pdf]
[supplementary material]

[DOI]
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning: John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi; [pdf]
[supplementary material]

[DOI]
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer: Haokui Zhang, Wenze Hu, Xiaoyu Wang; [pdf]
[supplementary material]

[DOI]
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning: Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister; [pdf]
[supplementary material]

[DOI]
Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective: Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Chenyu Wang, Wanli Ouyang; [pdf]
[supplementary material]

[DOI]
Decoupled Contrastive Learning: Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun; [pdf]
[supplementary material]

[DOI]
Joint Learning of Localized Representations from Medical Images and Reports: Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert; [pdf]
[supplementary material]

[DOI]
The Challenges of Continuous Self-Supervised Learning: Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta; [pdf]
[supplementary material]

[DOI]
Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval: Zhixin Ling, Zhen Xing, Jian Zhou, Xiangdong Zhou; [pdf]
[supplementary material]

[DOI]
Identifying Hard Noise in Long-Tailed Sample Distribution: Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang; [pdf]
[supplementary material]

[DOI]
Relative Contrastive Loss for Unsupervised Representation Learning: Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang; [pdf]
[supplementary material]

[DOI]
Fine-Grained Fashion Representation Learning by Online Deep Clustering: Yang Jiao, Ning Xie, Yan Gao, Chien-chih Wang, Yi Sun; [pdf]
[supplementary material]

[DOI]
NashAE: Disentangling Representations through Adversarial Covariance Minimization: Eric Yeats, Frank Liu, David Womble, Hai Li; [pdf]
[supplementary material]

[DOI]
A Gyrovector Space Approach for Symmetric Positive Semi-Definite Matrix Learning: Xuan Son Nguyen; [pdf]
[supplementary material]

[DOI]
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training: Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan; [pdf]
[supplementary material]

[DOI]
Contrasting Quadratic Assignments for Set-Based Representation Learning: Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold Smeulders; [pdf]
[supplementary material]

[DOI]
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer: Arjun Ashok, K J Joseph, Vineeth N Balasubramanian; [pdf]
[supplementary material]

[DOI]
Object Discovery and Representation Networks: Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelović; [pdf]
[supplementary material]

[DOI]
Trading Positional Complexity vs Deepness in Coordinate Networks: Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey; [pdf]
[supplementary material]

[DOI]
MVDG: A Unified Multi-View Framework for Domain Generalization: Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao; [pdf]
[supplementary material]

[DOI]
Panoptic Scene Graph Generation: Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu; [pdf]
[supplementary material]

[DOI]
Object-Compositional Neural Implicit Surfaces: Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, Jianmin Zheng; [pdf]
[supplementary material]

[DOI]
RigNet: Repetitive Image Guided Network for Depth Completion: Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang; [pdf]
[supplementary material]

[DOI]
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling: Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao; [pdf]
[supplementary material]

[DOI]
LiDAL: Inter-Frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation: Zeyu Hu, Xuyang Bai, Runze Zhang, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai; [pdf]
[supplementary material]

[DOI]
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation: Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma; [pdf]
[supplementary material]

[DOI]
DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation: Runyu Ding, Jihan Yang, Li Jiang, Xiaojuan Qi; [pdf]
[supplementary material]

[DOI]
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning: Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba; [pdf]
[DOI]
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene Flow Estimation with Monocular Images: Runfa Li, Truong Nguyen; [pdf]
[supplementary material]

[DOI]
TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes: Mutian Xu, Pei Chen, Haolin Liu, Xiaoguang Han; [pdf]
[supplementary material]

[DOI]
Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation?: Xinyi Wu, Zhenyao Wu, Jin Wan, Lili Ju, Song Wang; [pdf]
[supplementary material]

[DOI]
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation: Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu; [pdf]
[supplementary material]

[DOI]
Improving the Reliability for Confidence Estimation: Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu; [pdf]
[supplementary material]

[DOI]
Fine-Grained Scene Graph Generation with Data Transfer: Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua; [pdf]
[supplementary material]

[DOI]
Pose2Room: Understanding 3D Scenes from Human Activities: Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner; [pdf]
[supplementary material]

[DOI]
Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection: Xubin Zhong, Changxing Ding, Zijian Li, Shaoli Huang; [pdf]
[supplementary material]

[DOI]
Discovering Human-Object Interaction Concepts via Self-Compositional Learning: Zhi Hou, Baosheng Yu, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Primitive-Based Shape Abstraction via Nonparametric Bayesian Inference: Yuwei Wu, Weixiao Liu, Sipu Ruan, Gregory S. Chirikjian; [pdf]
[supplementary material]

[DOI]
Stereo Depth Estimation with Echoes: Chenghao Zhang, Kun Tian, Bolin Ni, Gaofeng Meng, Bin Fan, Zhaoxiang Zhang, Chunhong Pan; [pdf]
[supplementary material]

[DOI]
Inverted Pyramid Multi-task Transformer for Dense Scene Understanding: Hanrong Ye, Dan Xu; [pdf]
[supplementary material]

[DOI]
PETR: Position Embedding Transformation for Multi-View 3D Object Detection: Yingfei Liu, Tiancai Wang, Xiangyu Zhang, Jian Sun; [pdf]
[DOI]
S2Net: Stochastic Sequential Pointcloud Forecasting: Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani; [pdf]
[DOI]
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation: Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, Jian Yang; [pdf]
[supplementary material]

[DOI]
PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation: Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds: Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Aleš Leonardis, Niki Trigoni, Andrew Markham; [pdf]
[supplementary material]

[DOI]
PointMixer: MLP-Mixer for Point Cloud Understanding: Jaesung Choe, Chunghyun Park, Francois Rameau, Jaesik Park, In So Kweon; [pdf]
[supplementary material]

[DOI]
Initialization and Alignment for Adversarial Texture Optimization: Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing; [pdf]
[supplementary material]

[DOI]
MOTR: End-to-End Multiple-Object Tracking with TRansformer: Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, Yichen Wei; [pdf]
[DOI]
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing: Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen; [pdf]
[supplementary material]

[DOI]
LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited Environments: Henry Howard-Jenkins, Victor Adrian Prisacariu; [pdf]
[supplementary material]

[DOI]
3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling: Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai; [pdf]
[supplementary material]

[DOI]
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation: Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Salient Object Detection for Point Clouds: Songlin Fan, Wei Gao, Ge Li; [pdf]
[DOI]
Learning Semantic Segmentation from Multiple Datasets with Label Shifts: Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han; [pdf]
[supplementary material]

[DOI]
Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination: Kangcheng Liu, Yuzhi Zhao, Qiang Nie, Zhi Gao, Ben M. Chen; [pdf]
[supplementary material]

[DOI]
Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning: Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li; [pdf]
[DOI]
Variance-Aware Weight Initialization for Point Convolutional Neural Networks: Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski; [pdf]
[supplementary material]

[DOI]
Break and Make: Interactive Structural Understanding Using LEGO Bricks: Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox; [pdf]
[supplementary material]

[DOI]
Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation: Wencan Cheng, Jong Hwan Ko; [pdf]
[DOI]
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching: Runyu Mao, Chen Bai, Yatong An, Fengqing Zhu, Cheng Lu; [pdf]
[supplementary material]

[DOI]
Video Restoration Framework and Its Meta-Adaptations to Data-Poor Conditions: Prashant W Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh; [pdf]
[supplementary material]

[DOI]
MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud: Michaël Ramamonjisoa, Sinisa Stekovic, Vincent Lepetit; [pdf]
[supplementary material]

[DOI]
Scene Text Recognition with Permuted Autoregressive Sequence Models: Darwin Bautista, Rowel Atienza; [pdf]
[supplementary material]

[DOI]
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition: Bohan Li, Ye Yuan, Dingkang Liang, Xiao Liu, Zhilong Ji, Jinfeng Bai, Wenyu Liu, Xiang Bai; [pdf]
[DOI]
Detecting Tampered Scene Text in the Wild: Yuxin Wang, Hongtao Xie, Mengting Xing, Jing Wang, Shenggao Zhu, Yongdong Zhang; [pdf]
[supplementary material]

[DOI]
Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning: Jingqun Tang, Wenming Qian, Luchuan Song, Xiena Dong, Lan Li, Xiang Bai; [pdf]
[supplementary material]

[DOI]
GLASS: Global to Local Attention for Scene-Text Spotting: Roi Ronen, Shahar Tsiper, Oron Anschel, Inbal Lavi, Amir Markovitz, R. Manmatha; [pdf]
[supplementary material]

[DOI]
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts: Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa; [pdf]
[supplementary material]

[DOI]
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting: Chuhui Xue, Wenqing Zhang, Yu Hao, Shijian Lu, Philip H. S. Torr, Song Bai; [pdf]
[supplementary material]

[DOI]
Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition: Xudong Xie, Ling Fu, Zhifei Zhang, Zhaowen Wang, Xiang Bai; [pdf]
[supplementary material]

[DOI]
Levenshtein OCR: Cheng Da, Peng Wang, Cong Yao; [pdf]
[DOI]
Multi-Granularity Prediction for Scene Text Recognition: Peng Wang, Cheng Da, Cong Yao; [pdf]
[DOI]
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting: Ying Chen, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Xi Li; [pdf]
[supplementary material]

[DOI]
Contextual Text Block Detection towards Scene Text Understanding: Chuhui Xue, Jiaxing Huang, Wenqing Zhang, Shijian Lu, Changhu Wang, Song Bai; [pdf]
[supplementary material]

[DOI]
CoMER: Modeling Coverage for Transformer-Based Handwritten Mathematical Expression Recognition: Wenqi Zhao, Liangcai Gao; [pdf]
[DOI]
Don’t Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context: Chongyu Liu, Lianwen Jin, Yuliang Liu, Canjie Luo, Bangdong Chen, Fengjun Guo, Kai Ding; [pdf]
[supplementary material]

[DOI]
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers: Oren Nuriel, Sharon Fogel, Ron Litman; [pdf]
[supplementary material]

[DOI]
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features: Byeonghu Na, Yoonsik Kim, Sungrae Park; [pdf]
[DOI]
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition: Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu; [pdf]
[DOI]
Pure Transformer with Integrated Experts for Scene Text Recognition: Yew Lee Tan, Adams Wai-Kin Kong, Jung-Jae Kim; [pdf]
[supplementary material]

[DOI]
OCR-Free Document Understanding Transformer: Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park; [pdf]
[supplementary material]

[DOI]
CAR: Class-Aware Regularizations for Semantic Segmentation: Ye Huang, Di Kang, Liang Chen, Xuefei Zhe, Wenjing Jia, Linchao Bao, Xiangjian He; [pdf]
[supplementary material]

[DOI]
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation: Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee; [pdf]
[supplementary material]

[DOI]
SeqFormer: Sequential Transformer for Video Instance Segmentation: Junfeng Wu, Yi Jiang, Song Bai, Wenqing Zhang, Xiang Bai; [pdf]
[supplementary material]

[DOI]
Saliency Hierarchy Modeling via Generative Kernels for Salient Object Detection: Wenhu Zhang, Liangli Zheng, Huanyu Wang, Xintian Wu, Xi Li; [pdf]
[supplementary material]

[DOI]
In Defense of Online Models for Video Instance Segmentation: Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan Yuille, Xiang Bai; [pdf]
[supplementary material]

[DOI]
Active Pointly-Supervised Instance Segmentation: Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu; [pdf]
[supplementary material]

[DOI]
A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining: Bowen Shi, Dongsheng Jiang, Xiaopeng Zhang, Han Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian; [pdf]
[supplementary material]

[DOI]
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model: Ho Kei Cheng, Alexander G. Schwing; [pdf]
[supplementary material]

[DOI]
Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving: Jiale Li, Hang Dai, Yong Ding; [pdf]
[supplementary material]

[DOI]
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds: Xu Yan, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shuguang Cui, Zhen Li; [pdf]
[supplementary material]

[DOI]
Extract Free Dense Labels from CLIP: Chong Zhou, Chen Change Loy, Bo Dai; [pdf]
[supplementary material]

[DOI]
3D Compositional Zero-Shot Learning with DeCompositional Consensus: Muhammad Ferjad Naeem, Evin Pınar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari; [pdf]
[supplementary material]

[DOI]
Video Mask Transfiner for High-Quality Video Instance Segmentation: Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu; [pdf]
[supplementary material]

[DOI]
Box-Supervised Instance Segmentation with Level Set Evolution: Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Xian-Sheng Hua, Lei Zhang; [pdf]
[DOI]
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding: Hao Wen, Yunze Liu, Jingwei Huang, Bo Duan, Li Yi; [pdf]
[supplementary material]

[DOI]
Adaptive Agent Transformer for Few-Shot Segmentation: Yuan Wang, Rui Sun, Zhe Zhang, Tianzhu Zhang; [pdf]
[supplementary material]

[DOI]
Waymo Open Dataset: Panoramic Video Panoptic Segmentation: Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar; [pdf]
[supplementary material]

[DOI]
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation: Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin; [pdf]
[supplementary material]

[DOI]
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions: Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong; [pdf]
[supplementary material]

[DOI]
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation: Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim; [pdf]
[supplementary material]

[DOI]
"Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications": Lingzhi Zhang, Shenghao Zhou, Simon Stent, Jianbo Shi; [pdf]
[supplementary material]

[DOI]
Perceptual Artifacts Localization for Inpainting: Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi; [pdf]
[supplementary material]

[DOI]
2D Amodal Instance Segmentation Guided by 3D Shape Prior: Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang; [pdf]
[DOI]
Data Efficient 3D Learner via Knowledge Transferred from 2D Model: Ping-Chung Yu, Cheng Sun, Min Sun; [pdf]
[supplementary material]

[DOI]
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation: Tong Wu, Guangyu Gao, Junshi Huang, Xiaolin Wei, Xiaoming Wei, Chi Harold Liu; [pdf]
[DOI]
Dense Gaussian Processes for Few-Shot Segmentation: Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan; [pdf]
[supplementary material]

[DOI]
3D Instances as 1D Kernels: Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong; [pdf]
[supplementary material]

[DOI]
TransMatting: Enhancing Transparent Objects Matting with Transformers: Huanqia Cai, Fanglei Xue, Lele Xu, Lili Guo; [pdf]
[DOI]
MVSalNet:Multi-View Augmentation for RGB-D Salient Object Detection: Jiayuan Zhou, Lijun Wang, Huchuan Lu, Kaining Huang, Xinchu Shi, Bocong Liu; [pdf]
[DOI]
k-Means Mask Transformer: Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen; [pdf]
[supplementary material]

[DOI]
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness: Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr; [pdf]
[supplementary material]

[DOI]
Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation: Sung-Hoon Yoon, Hyeokjun Kweon, Jegyeong Cho, Shinjeong Kim, Kuk-Jin Yoon; [pdf]
[supplementary material]

[DOI]
Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment: Zihan Lin, Zilei Wang, Yixin Zhang; [pdf]
[DOI]
Interclass Prototype Relation for Few-Shot Segmentation: Atsuro Okazawa; [pdf]
[supplementary material]

[DOI]
Slim Scissors: Segmenting Thin Object from Synthetic Background: Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei; [pdf]
[supplementary material]

[DOI]
Abstracting Sketches through Simple Primitives: Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata; [pdf]
[supplementary material]

[DOI]
Multi-Scale and Cross-Scale Contrastive Learning for Semantic Segmentation: Theodoros Pissas, Claudio S. Ravasio, Lyndon Da Cruz, Christos Bergeles; [pdf]
[supplementary material]

[DOI]
One-Trimap Video Matting: Hongje Seong, Seoung Wug Oh, Brian Price, Euntai Kim, Joon-Young Lee; [pdf]
[supplementary material]

[DOI]
D2ADA: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation: Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan, Hsin-Ying Lee, Tung-I Chen, Kuan-Chih Huang, Winston H. Hsu; [pdf]
[supplementary material]

[DOI]
Learning Quality-Aware Dynamic Memory for Video Object Segmentation: Yong Liu, Ran Yu, Fei Yin, Xinyuan Zhao, Wei Zhao, Weihao Xia, Yujiu Yang; [pdf]
[supplementary material]

[DOI]
Learning Implicit Feature Alignment Function for Semantic Segmentation: Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang; [pdf]
[supplementary material]

[DOI]
Quantum Motion Segmentation: Federica Arrigoni, Willi Menapace, Marcel Seelbach Benkner, Elisa Ricci, Vladislav Golyanik; [pdf]
[supplementary material]

[DOI]
Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation: Feng Zhu, Zongxin Yang, Xin Yu, Yi Yang, Yunchao Wei; [pdf]
[supplementary material]

[DOI]
Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation: Xiao-Juan Li, Jie Yang, Fang-Lue Zhang; [pdf]
[supplementary material]

[DOI]
Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter: Tuan Ngo, Khoi Nguyen; [pdf]
[DOI]
Union-Set Multi-source Model Adaptation for Semantic Segmentation: Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama; [pdf]
[DOI]
Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions: Ardian Umam, Cheng-Kun Yang, Yung-Yu Chuang, Jen-Hui Chuang, Yen-Yu Lin; [pdf]
[supplementary material]

[DOI]
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation: Ye Yu, Jialin Yuan, Gaurav Mittal, Li Fuxin, Mei Chen; [pdf]
[supplementary material]

[DOI]
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection: Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee; [pdf]
[supplementary material]

[DOI]
Global Spectral Filter Memory Network for Video Object Segmentation: Yong Liu, Ran Yu, Jiahao Wang, Xinyuan Zhao, Yitong Wang, Yansong Tang, Yujiu Yang; [pdf]
[DOI]
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer: Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan; [pdf]
[supplementary material]

[DOI]
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation: Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu; [pdf]
[supplementary material]

[DOI]
Learning Topological Interactions for Multi-Class Medical Image Segmentation: Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary Saltz, Tahsin Kurc, Joel Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen; [pdf]
[supplementary material]

[DOI]
Unsupervised Segmentation in Real-World Images via Spelke Object Inference: Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear; [pdf]
[supplementary material]

[DOI]
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model: Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai; [pdf]
[supplementary material]

[DOI]
Fast Two-View Motion Segmentation Using Christoffel Polynomials: Bengisu Ozbay, Octavia Camps, Mario Sznaier; [pdf]
[supplementary material]

[DOI]
UCTNet: Uncertainty-Aware Cross-Modal Transformer Network for Indoor RGB-D Semantic Segmentation: Xiaowen Ying, Mooi Choo Chuah; [pdf]
[supplementary material]

[DOI]
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation: Geon Lee, Chanho Eom, Wonkyung Lee, Hyekang Park, Bumsub Ham; [pdf]
[supplementary material]

[DOI]
Learning Regional Purity for Instance Segmentation on 3D Point Clouds: Shichao Dong, Guosheng Lin, Tzu-Yi Hung; [pdf]
[supplementary material]

[DOI]
Cross-Domain Few-Shot Semantic Segmentation: Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu; [pdf]
[supplementary material]

[DOI]
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning: Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian, Jin Xie; [pdf]
[supplementary material]

[DOI]
SdAE: Self-Distillated Masked Autoencoder: Yabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian; [pdf]
[supplementary material]

[DOI]
Demystifying Unsupervised Semantic Correspondence Estimation: Mehmet Aygün, Oisin Mac Aodha; [pdf]
[supplementary material]

[DOI]
Open-Set Semi-Supervised Object Detection: Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira; [pdf]
[supplementary material]

[DOI]
Vibration-Based Uncertainty Estimation for Learning from Limited Supervision: Hengtong Hu, Lingxi Xie, Xinyue Huo, Richang Hong, Qi Tian; [pdf]
[DOI]
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation: Jogendra Nath Kundu, Suvaansh Bhambri, Akshay Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu; [pdf]
[supplementary material]

[DOI]
Weakly Supervised Object Localization through Inter-class Feature Similarity and Intra-Class Appearance Consistency: Jun Wei, Sheng Wang, S. Kevin Zhou, Shuguang Cui, Zhen Li; [pdf]
[DOI]
Active Learning Strategies for Weakly-Supervised Object Detection: Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce; [pdf]
[supplementary material]

[DOI]
Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-training: Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan; [pdf]
[supplementary material]

[DOI]
Bootstrapped Masked Autoencoders for Vision BERT Pretraining: Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu; [pdf]
[supplementary material]

[DOI]
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping: Bo Pang, Yifan Zhang, Yaoyi Li, Jia Cai, Cewu Lu; [pdf]
[DOI]
Improving Few-Shot Part Segmentation Using Coarse Supervision: Oindrila Saha, Zezhou Cheng, Subhransu Maji; [pdf]
[supplementary material]

[DOI]
What to Hide from Your Students: Attention-Guided Masked Image Modeling: Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis; [pdf]
[supplementary material]

[DOI]
Pointly-Supervised Panoptic Segmentation: Junsong Fan, Zhaoxiang Zhang, Tieniu Tan; [pdf]
[DOI]
MVP: Multimodality-Guided Visual Pre-training: Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian; [pdf]
[DOI]
Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection: Wen-Yan Lin, Zhonghang Liu, Siying Liu; [pdf]
[supplementary material]

[DOI]
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation: Lukas Hoyer, Dengxin Dai, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation: Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer; [pdf]
[supplementary material]

[DOI]
Dual-Domain Self-Supervised Learning and Model Adaption for Deep Compressive Imaging: Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji; [pdf]
[supplementary material]

[DOI]
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning: Xudong Wang, Long Lian, Stella X. Yu; [pdf]
[supplementary material]

[DOI]
Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation: Simone Rossetti, Damiano Zappia, Marta Sanzari, Marco Schaerf, Fiora Pirri; [pdf]
[supplementary material]

[DOI]
Dense Siamese Network for Dense Unsupervised Learning: Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
Multi-Granularity Distillation Scheme towards Lightweight Semi-Supervised Semantic Segmentation: Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang; [pdf]
[DOI]
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation: Feng Wang, Huiyu Wang, Chen Wei, Alan Yuille, Wei Shen; [pdf]
[supplementary material]

[DOI]
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization: Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin; [pdf]
[supplementary material]

[DOI]
RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning: Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi; [pdf]
[supplementary material]

[DOI]
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation: Tarun Kalluri, Astuti Sharma, Manmohan Chandraker; [pdf]
[supplementary material]

[DOI]
United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning: Wenda Zhao, Fei Wei, You He, Huchuan Lu; [pdf]
[DOI]
Synergistic Self-Supervised and Quantization Learning: Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou; [pdf]
[supplementary material]

[DOI]
Semi-Supervised Vision Transformers: Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang; [pdf]
[supplementary material]

[DOI]
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision: Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu; [pdf]
[supplementary material]

[DOI]
Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection: Linfeng Li, Minyue Jiang, Yue Yu, Wei Zhang, Xiangru Lin, Yingying Li, Xiao Tan, Jingdong Wang, Errui Ding; [pdf]
[supplementary material]

[DOI]
A Closer Look at Invariances in Self-Supervised Pre-training for 3D Vision: Lanxiao Li, Michael Heizmann; [pdf]
[supplementary material]

[DOI]
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization: Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim; [pdf]
[supplementary material]

[DOI]
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation: Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha; [pdf]
[supplementary material]

[DOI]
W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection: Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo; [pdf]
[supplementary material]

[DOI]
Decoupled Adversarial Contrastive Learning for Self-Supervised Adversarial Robustness: Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon; [pdf]
[supplementary material]

[DOI]
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning: Huseyin Coskun, Alireza Zareian, Joshua L. Moore, Federico Tombari, Chen Wang; [pdf]
[DOI]
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning: K L Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash; [pdf]
[supplementary material]

[DOI]
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning: Junqiang Huang, Xiangwen Kong, Xiangyu Zhang; [pdf]
[supplementary material]

[DOI]
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation: Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia; [pdf]
[supplementary material]

[DOI]
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation: Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai, Chen Qian; [pdf]
[supplementary material]

[DOI]
Semantic-Aware Fine-Grained Correspondence: Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao; [pdf]
[supplementary material]

[DOI]
Self-Supervised Classification Network: Elad Amrani, Leonid Karlinsky, Alex Bronstein; [pdf]
[supplementary material]

[DOI]
Data Invariants to Understand Unsupervised Out-of-Distribution Detection: Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila; [pdf]
[supplementary material]

[DOI]
Domain Invariant Masked Autoencoders for Self-Supervised Learning from Multi-Domains: Haiyang Yang, Shixiang Tang, Meilin Chen, Yizhou Wang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang; [pdf]
[supplementary material]

[DOI]
Semi-Supervised Object Detection via Virtual Category Learning: Changrui Chen, Kurt Debattista, Jungong Han; [pdf]
[DOI]
Completely Self-Supervised Crowd Counting via Distribution Matching: Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel; [pdf]
[DOI]
Coarse-to-Fine Incremental Few-Shot Learning: Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan Yuille, Gregory D. Hager; [pdf]
[supplementary material]

[DOI]
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling: Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan; [pdf]
[supplementary material]

[DOI]
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition: Shreyank N Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara; [pdf]
[supplementary material]

[DOI]
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation: Renhao Wang, Hang Zhao, Yang Gao; [pdf]
[supplementary material]

[DOI]
PSS: Progressive Sample Selection for Open-World Visual Representation Learning: Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe; [pdf]
[supplementary material]

[DOI]
Improving Self-Supervised Lightweight Model Learning via Hard-Aware Metric Distillation: Hao Liu, Mang Ye; [pdf]
[DOI]
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection: Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim; [pdf]
[supplementary material]

[DOI]
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers: Hui Tang, Lin Sun, Kui Jia; [pdf]
[supplementary material]

[DOI]
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model: Boah Kim, Inhwa Han, Jong Chul Ye; [pdf]
[supplementary material]

[DOI]
Semi-Leak: Membership Inference Attacks against Semi-Supervised Learning: Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang; [pdf]
[supplementary material]

[DOI]
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning: Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah; [pdf]
[supplementary material]

[DOI]
Embedding Contrastive Unsupervised Features to Cluster in- and Out-of-Distribution Noise in Corrupted Image Datasets: Paul Albert, Eric Arazo, Noel E. O’Connor, Kevin McGuinness; [pdf]
[supplementary material]

[DOI]
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space: Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao; [pdf]
[DOI]
Towards Realistic Semi-Supervised Learning: Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah; [pdf]
[supplementary material]

[DOI]
Masked Siamese Networks for Label-Efficient Learning: Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael Rabbat, Nicolas Ballas; [pdf]
[supplementary material]

[DOI]
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization: Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz; [pdf]
[supplementary material]

[DOI]
Understanding Collapse in Non-Contrastive Siamese Representation Learning: Alexander C. Li, Alexei A. Efros, Deepak Pathak; [pdf]
[supplementary material]

[DOI]
Federated Self-Supervised Learning for Video Understanding: Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas Lane; [pdf]
[DOI]
Towards Efficient and Effective Self-Supervised Learning of Visual Representations: Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu; [pdf]
[supplementary material]

[DOI]
DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection: Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj; [pdf]
[supplementary material]

[DOI]
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds: Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov; [pdf]
[DOI]
MVSTER: Epipolar Transformer for Efficient Multi-View Stereo: Xiaofeng Wang, Zheng Zhu, Guan Huang, Fangbo Qin, Yun Ye, Yijia He, Xu Chi, Xingang Wang; [pdf]
[supplementary material]

[DOI]
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild: Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani; [pdf]
[supplementary material]

[DOI]
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis: Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov; [pdf]
[DOI]
KD-MVS: Knowledge Distillation Based Self-Supervised Learning for Multi-View Stereo: Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang; [pdf]
[supplementary material]

[DOI]
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas: John Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana, Will Hutchcroft, James Hays, Frank Dellaert, Sing Bing Kang; [pdf]
[supplementary material]

[DOI]
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering: Di Chang, Aljaž Božič, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner; [pdf]
[supplementary material]

[DOI]
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes: Julian Chibane, Francis Engelmann, Tuan Anh Tran, Gerard Pons-Moll; [pdf]
[supplementary material]

[DOI]
NeILF: Neural Incident Light Field for Physically-Based Material Estimation: Yao Yao, Jingyang Zhang, Jingbo Liu, Yihang Qu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan; [pdf]
[supplementary material]

[DOI]
ARF: Artistic Radiance Fields: Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely; [pdf]
[supplementary material]

[DOI]
Multiview Stereo with Cascaded Epipolar RAFT: Zeyu Ma, Zachary Teed, Jia Deng; [pdf]
[supplementary material]

[DOI]
ARAH: Animatable Volume Rendering of Articulated Human SDFs: Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang; [pdf]
[supplementary material]

[DOI]
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer: Hongkai Chen, Zixin Luo, Lei Zhou, Yurun Tian, Mingmin Zhen, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan; [pdf]
[supplementary material]

[DOI]
NDF: Neural Deformable Fields for Dynamic Human Modelling: Ruiqi Zhang, Jie Chen; [pdf]
[supplementary material]

[DOI]
Neural Density-Distance Fields: Itsuki Ueda, Yoshihiro Fukuhara, Hirokatsu Kataoka, Hiroaki Aizawa, Hidehiko Shishido, Itaru Kitahara; [pdf]
[supplementary material]

[DOI]
NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer: Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia; [pdf]
[supplementary material]

[DOI]
Learning Online Multi-sensor Depth Fusion: Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-Scale Scene Rendering: Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin; [pdf]
[DOI]
Decomposing the Tangent of Occluding Boundaries according to Curvatures and Torsions: Huizong Yang, Anthony Yezzi; [pdf]
[supplementary material]

[DOI]
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors: Jiepeng Wang, Peng Wang, Xiaoxiao Long, Christian Theobalt, Taku Komura, Lingjie Liu, Wenping Wang; [pdf]
[supplementary material]

[DOI]
Generalizable Patch-Based Neural Rendering: Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia; [pdf]
[supplementary material]

[DOI]
Improving RGB-D Point Cloud Registration by Learning Multi-Scale Local Linear Transformation: Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu; [pdf]
[DOI]
Real-Time Neural Character Rendering with Pose-Guided Multiplane Images: Hao Ouyang, Bo Zhang, Pan Zhang, Hao Yang, Jiaolong Yang, Dong Chen, Qifeng Chen, Fang Wen; [pdf]
[supplementary material]

[DOI]
SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views: Xiaoxiao Long, Cheng Lin, Peng Wang, Taku Komura, Wenping Wang; [pdf]
[supplementary material]

[DOI]
Disentangling Object Motion and Occlusion for Unsupervised Multi-Frame Monocular Depth: Ziyue Feng, Liang Yang, Longlong Jing, Haiyan Wang, YingLi Tian, Bing Li; [pdf]
[supplementary material]

[DOI]
Depth Field Networks for Generalizable Multi-View Scene Representation: Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rareș Ambruș, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon; [pdf]
[supplementary material]

[DOI]
Context-Enhanced Stereo Transformer: Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan Yuille, Yingwei Li; [pdf]
[DOI]
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching: Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou, Liangjun Zhang; [pdf]
[supplementary material]

[DOI]
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images: Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long, Taku Komura, Wenping Wang; [pdf]
[supplementary material]

[DOI]
Latency-Aware Collaborative Perception: Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, Siheng Chen; [pdf]
[DOI]
TensoRF: Tensorial Radiance Fields: Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su; [pdf]
[supplementary material]

[DOI]
NeFSAC: Neurally Filtered Minimal Samples: Luca Cavalli, Marc Pollefeys, Daniel Barath; [pdf]
[supplementary material]

[DOI]
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data: Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi; [pdf]
[supplementary material]

[DOI]
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields: Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh; [pdf]
[supplementary material]

[DOI]
NeuMan: Neural Human Radiance Field from a Single Video: Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan; [pdf]
[supplementary material]

[DOI]
TAVA: Template-Free Animatable Volumetric Actors: Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner; [pdf]
[supplementary material]

[DOI]
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching: Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu; [pdf]
[DOI]
Relative Pose from SIFT Features: Daniel Barath, Zuzana Kukelova; [pdf]
[supplementary material]

[DOI]
Selection and Cross Similarity for Event-Image Deep Stereo: Hoonhee Cho, Kuk-Jin Yoon; [pdf]
[supplementary material]

[DOI]
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding: Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang; [pdf]
[supplementary material]

[DOI]
CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-Scale Indoor Scene: Hao-Xiang Chen, Jiahui Huang, Tai-Jiang Mu, Shi-Min Hu; [pdf]
[supplementary material]

[DOI]
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild: Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu; [pdf]
[supplementary material]

[DOI]
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding: Yujin Chen, Matthias Nießner, Angela Dai; [pdf]
[supplementary material]

[DOI]
Few ‘Zero Level Set’-Shot Learning of Shape Signed Distance Functions in Feature Space: Amine Ouasfi, Adnane Boukhayma; [pdf]
[supplementary material]

[DOI]
Solution Space Analysis of Essential Matrix Based on Algebraic Error Minimization: Gaku Nakano; [pdf]
[DOI]
Approximate Differentiable Rendering with Algebraic Surfaces: Leonid Keselman, Martial Hebert; [pdf]
[supplementary material]

[DOI]
CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360° Indoor Panoramas: Will Hutchcroft, Yuguang Li, Ivaylo Boyadzhiev, Zhiqiang Wan, Haiyan Wang, Sing Bing Kang; [pdf]
[supplementary material]

[DOI]
Affine Correspondences between Multi-Camera Systems for 6DOF Relative Pose Estimation: Banglei Guan, Ji Zhao; [pdf]
[supplementary material]

[DOI]
GraphFit: Learning Multi-Scale Graph-Convolutional Representation for Point Cloud Normal Estimation: Keqiang Li, Mingyang Zhao, Huaiyu Wu, Dong-Ming Yan, Zhen Shen, Fei-Yue Wang, Gang Xiong; [pdf]
[supplementary material]

[DOI]
IS-MVSNet: Importance Sampling-Based MVSNet: Likang Wang, Yue Gong, Xinjun Ma, Qirui Wang, Kaixuan Zhou, Lei Chen; [pdf]
[DOI]
Point Scene Understanding via Disentangled Instance Mesh Reconstruction: Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng; [pdf]
[supplementary material]

[DOI]
DiffuStereo: High Quality Human Reconstruction via Diffusion-Based Stereo Using Sparse Cameras: Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu; [pdf]
[supplementary material]

[DOI]
Space-Partitioning RANSAC: Daniel Barath, Gábor Valasek; [pdf]
[supplementary material]

[DOI]
SimpleRecon: 3D Reconstruction without 3D Convolutions: Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, Clément Godard; [pdf]
[supplementary material]

[DOI]
Structure and Motion from Casual Videos: Zhoutong Zhang, Forrester Cole, Zhengqi Li, Noah Snavely, Michael Rubinstein, William T. Freeman; [pdf]
[supplementary material]

[DOI]
What Matters for 3D Scene Flow Network: Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang; [pdf]
[supplementary material]

[DOI]
Correspondence Reweighted Translation Averaging: Lalit Manam, Venu Madhav Govindu; [pdf]
[supplementary material]

[DOI]
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images: Radu Alexandru Rosu, Shunsuke Saito, Ziyan Wang, Chenglei Wu, Sven Behnke, Giljoo Nam; [pdf]
[supplementary material]

[DOI]
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs: Xin Liu, Xiaofei Shao, Bo Wang, Yali Li, Shengjin Wang; [pdf]
[supplementary material]

[DOI]
Objects Can Move: 3D Change Detection by Geometric Transformation Consistency: Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos, Tomas Pajdla; [pdf]
[supplementary material]

[DOI]
Language-Grounded Indoor 3D Semantic Segmentation in the Wild: Dávid Rozenberszki, Or Litany, Angela Dai; [pdf]
[supplementary material]

[DOI]
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs: Sameera Ramasinghe, Simon Lucey; [pdf]
[supplementary material]

[DOI]
Deforming Radiance Fields with Cages: Tianhan Xu, Tatsuya Harada; [pdf]
[DOI]
FLEX: Extrinsic Parameters-Free Multi-View 3D Human Motion Reconstruction: Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or; [pdf]
[supplementary material]

[DOI]
MODE: Multi-View Omnidirectional Depth Estimation with 360° Cameras: Ming Li, Xueqian Jin, Xuejiao Hu, Jingzhao Dai, Sidan Du, Yang Li; [pdf]
[supplementary material]

[DOI]
GigaDepth: Learning Depth from Structured Light with Branching Neural Networks: Simon Schreiberhuber, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze; [pdf]
[supplementary material]

[DOI]
ActiveNeRF: Learning Where to See with Uncertainty Estimation: Xuran Pan, Zihang Lai, Shiji Song, Gao Huang; [pdf]
[supplementary material]

[DOI]
PoserNet: Refining Relative Camera Poses Exploiting Object Detections: Matteo Taiana, Matteo Toso, Stuart James, Alessio Del Bue; [pdf]
[supplementary material]

[DOI]
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation: Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey; [pdf]
[supplementary material]

[DOI]
Unbiased Gradient Estimation for Differentiable Surface Splatting via Poisson Sampling: Jan U. Müller, Michael Weinmann, Reinhard Klein; [pdf]
[supplementary material]

[DOI]
Towards Learning Neural Representations from Shadows: Kushagra Tiwary, Tzofi Klinghoffer, Ramesh Raskar; [pdf]
[supplementary material]

[DOI]
Class-Incremental Novel Class Discovery: Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci; [pdf]
[supplementary material]

[DOI]
Unknown-Oriented Learning for Open Set Domain Adaptation: Jie Liu, Xiaoqing Guo, Yixuan Yuan; [pdf]
[supplementary material]

[DOI]
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation: Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan; [pdf]
[supplementary material]

[DOI]
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation: Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia; [pdf]
[supplementary material]

[DOI]
Class-Agnostic Object Counting Robust to Intraclass Diversity: Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele; [pdf]
[supplementary material]

[DOI]
Burn after Reading: Online Adaptation for Cross-Domain Streaming Data: Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah; [pdf]
[supplementary material]

[DOI]
Mind the Gap in Distilling StyleGANs: Guodong Xu, Yuenan Hou, Ziwei Liu, Chen Change Loy; [pdf]
[supplementary material]

[DOI]
Improving Test-Time Adaptation via Shift-Agnostic Weight Regularization and Nearest Source Prototypes: Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun; [pdf]
[supplementary material]

[DOI]
Learning Instance-Specific Adaptation for Cross-Domain Segmentation: Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang; [pdf]
[supplementary material]

[DOI]
RegionCL: Exploring Contrastive Region Pairs for Self-Supervised Representation Learning: Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Long-Tailed Class Incremental Learning: Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng; [pdf]
[supplementary material]

[DOI]
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning: Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim; [pdf]
[supplementary material]

[DOI]
Adversarial Partial Domain Adaptation by Cycle Inconsistency: Kun-Yu Lin, Jiaming Zhou, Yukun Qiu, Wei-Shi Zheng; [pdf]
[supplementary material]

[DOI]
Combating Label Distribution Shift for Active Domain Adaptation: Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak; [pdf]
[supplementary material]

[DOI]
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation: Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi; [pdf]
[supplementary material]

[DOI]
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation: Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi; [pdf]
[supplementary material]

[DOI]
A Unified Framework for Domain Adaptive Pose Estimation: Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff; [pdf]
[supplementary material]

[DOI]
A Broad Study of Pre-training for Domain Generalization and Adaptation: Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko; [pdf]
[supplementary material]

[DOI]
Prior Knowledge Guided Unsupervised Domain Adaptation: Tao Sun, Cheng Lu, Haibin Ling; [pdf]
[supplementary material]

[DOI]
GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real Generalization: Gilhyun Nam, Gyeongjae Choi, Kyungmin Lee; [pdf]
[supplementary material]

[DOI]
AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection: Yipeng Gao, Lingxiao Yang, Yunmu Huang, Song Xie, Shiyong Li, Wei-Shi Zheng; [pdf]
[DOI]
Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box: Jayeon Yoo, Inseop Chung, Nojun Kwak; [pdf]
[supplementary material]

[DOI]
Visual Prompt Tuning: Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim; [pdf]
[supplementary material]

[DOI]
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap: Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia; [pdf]
[supplementary material]

[DOI]
Interpretable Open-Set Domain Adaptation via Angular Margin Separation: Xinhao Li, Jingjing Li, Zhekai Du, Lei Zhu, Wen Li; [pdf]
[supplementary material]

[DOI]
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation: Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation: Zhengkai Jiang, Yuxi Li, Ceyuan Yang, Peng Gao, Yabiao Wang, Ying Tai, Chengjie Wang; [pdf]
[DOI]
RBC: Rectifying the Biased Context in Continual Semantic Segmentation: Hanbin Zhao, Fengyu Yang, Xinghe Fu, Xi Li; [pdf]
[supplementary material]

[DOI]
Factorizing Knowledge in Neural Networks: Xingyi Yang, Jingwen Ye, Xinchao Wang; [pdf]
[supplementary material]

[DOI]
Contrastive Vicinal Space for Unsupervised Domain Adaptation: Jaemin Na, Dongyoon Han, Hyung Jin Chang, Wonjun Hwang; [pdf]
[supplementary material]

[DOI]
Cross-Modal Knowledge Transfer without Task-Relevant Source Data: Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Amit K. Roy-Chowdhury; [pdf]
[supplementary material]

[DOI]
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions: Theodoros Panagiotakopoulos, Pier Luigi Dovesi, Linus Härenstam-Nielsen, Matteo Poggi; [pdf]
[supplementary material]

[DOI]
Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition: Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen; [pdf]
[supplementary material]

[DOI]
BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation: Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks: Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng; [pdf]
[DOI]
Incomplete Multi-View Domain Adaptation via Channel Enhancement and Knowledge Transfer: Haifeng Xia, Pu Wang, Zhengming Ding; [pdf]
[DOI]
DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization: Xueqing Deng, Dawei Sun, Shawn Newsam, Peng Wang; [pdf]
[supplementary material]

[DOI]
ML-BPM: Multi-Teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation: Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon; [pdf]
[supplementary material]

[DOI]
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks: Nan Ding, Xi Chen, Tomer Levinboim, Soravit Changpinyo, Radu Soricut; [pdf]
[supplementary material]

[DOI]
Personalized Education: Blind Knowledge Distillation: Xiang Deng, Jian Zheng, Zhongfei Zhang; [pdf]
[supplementary material]

[DOI]
Not All Models Are Equal: Predicting Model Transferability in a Self-Challenging Fisher Space: Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo; [pdf]
[supplementary material]

[DOI]
How Stable Are Transferability Metrics Evaluations?: Andrea Agostinelli, Michal Pándy, Jasper Uijlings, Thomas Mensink, Vittorio Ferrari; [pdf]
[supplementary material]

[DOI]
Attention Diversification for Domain Generalization: Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu; [pdf]
[DOI]
ESS: Learning Event-Based Semantic Segmentation from Still Images: Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza; [pdf]
[supplementary material]

[DOI]
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection: Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang; [pdf]
[supplementary material]

[DOI]
Human Trajectory Prediction via Neural Social Physics: Jiangbei Yue, Dinesh Manocha, He Wang; [pdf]
[supplementary material]

[DOI]
Towards Open Set Video Anomaly Detection: Yuansheng Zhu, Wentao Bao, Qi Yu; [pdf]
[supplementary material]

[DOI]
ECLIPSE: Efficient Long-Range Video Retrieval Using Sight and Sound: Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius; [pdf]
[supplementary material]

[DOI]
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing: Haoyue Cheng, Zhaoyang Liu, Hang Zhou, Chen Qian, Wayne Wu, Limin Wang; [pdf]
[supplementary material]

[DOI]
Less than Few: Self-Shot Video Instance Segmentation: Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek; [pdf]
[supplementary material]

[DOI]
Adaptive Face Forgery Detection in Cross Domain: Luchuan Song, Zheng Fang, Xiaodan Li, Xiaoyi Dong, Zhenchao Jin, Yuefeng Chen, Siwei Lyu; [pdf]
[supplementary material]

[DOI]
Real-Time Online Video Detection with Temporal Smoothing Transformers: Yue Zhao, Philipp Krähenbühl; [pdf]
[DOI]
TALLFormer: Temporal Action Localization with a Long-Memory Transformer: Feng Cheng, Gedas Bertasius; [pdf]
[supplementary material]

[DOI]
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation: Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool; [pdf]
[DOI]
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency: Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid; [pdf]
[supplementary material]

[DOI]
Rethinking Learning Approaches for Long-Term Action Anticipation: Megha Nawhal, Akash Abdu Jyothi, Greg Mori; [pdf]
[supplementary material]

[DOI]
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition: Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan; [pdf]
[supplementary material]

[DOI]
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation: Gensheng Pei, Fumin Shen, Yazhou Yao, Guo-Sen Xie, Zhenmin Tang, Jinhui Tang; [pdf]
[DOI]
PAC-Net: Highlight Your Video via History Preference Modeling: Hang Wang, Penghao Zhou, Chong Zhou, Zhao Zhang, Xing Sun; [pdf]
[DOI]
How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning?: Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees G. M. Snoek; [pdf]
[supplementary material]

[DOI]
A Sliding Window Scheme for Online Temporal Action Localization: Young Hwi Kim, Hyolim Kang, Seon Joo Kim; [pdf]
[supplementary material]

[DOI]
ERA: Expert Retrieval and Assembly for Early Action Prediction: Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu; [pdf]
[supplementary material]

[DOI]
Dual Perspective Network for Audio-Visual Event Localization: Varshanth Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu; [pdf]
[supplementary material]

[DOI]
NSNet: Non-Saliency Suppression Sampler for Efficient Video Recognition: Boyang Xia, Wenhao Wu, Haoran Wang, Rui Su, Dongliang He, Haosen Yang, Xiaoran Fan, Wanli Ouyang; [pdf]
[supplementary material]

[DOI]
Video Activity Localisation with Uncertainties in Temporal Boundary: Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu; [pdf]
[supplementary material]

[DOI]
Temporal Saliency Query Network for Efficient Video Recognition: Boyang Xia, Zhihao Wang, Wenhao Wu, Haoran Wang, Jungong Han; [pdf]
[supplementary material]

[DOI]
Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency: Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson; [pdf]
[supplementary material]

[DOI]
Leveraging Action Affinity and Continuity for Semi-Supervised Temporal Action Segmentation: Guodong Ding, Angela Yao; [pdf]
[DOI]
"Spotting Temporally Precise, Fine-Grained Events in Video": James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian; [pdf]
[supplementary material]

[DOI]
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation: Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi; [pdf]
[supplementary material]

[DOI]
Efficient Video Transformers with Spatial-Temporal Token Selection: Junke Wang, Xitong Yang, Hengduo Li, Li Liu, Zuxuan Wu, Yu-Gang Jiang; [pdf]
[DOI]
Long Movie Clip Classification with State-Space Video Models: Md Mohaiminul Islam, Gedas Bertasius; [pdf]
[supplementary material]

[DOI]
Prompting Visual-Language Models for Efficient Video Understanding: Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie; [pdf]
[supplementary material]

[DOI]
Asymmetric Relation Consistency Reasoning for Video Relation Grounding: Huan Li, Ping Wei, Jiapeng Li, Zeyu Ma, Jiahui Shang, Nanning Zheng; [pdf]
[DOI]
Self-Supervised Social Relation Representation for Human Group Detection: Jiacheng Li, Ruize Han, Haomin Yan, Zekun Qian, Wei Feng, Song Wang; [pdf]
[supplementary material]

[DOI]
K-Centered Patch Sampling for Efficient Video Recognition: Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin; [pdf]
[supplementary material]

[DOI]
A Deep Moving-Camera Background Model: Guy Erez, Ron Shapira Weber, Oren Freifeld; [pdf]
[supplementary material]

[DOI]
GraphVid: It Only Takes a Few Nodes to Understand a Video: Eitan Kosman, Dotan Di Castro; [pdf]
[DOI]
Delta Distillation for Efficient Video Processing: Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli; [pdf]
[supplementary material]

[DOI]
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning: David Junhao Zhang, Kunchang Li, Yali Wang, Yunpeng Chen, Shashwat Chandra, Yu Qiao, Luoqi Liu, Mike Zheng Shou; [pdf]
[DOI]
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality: Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf; [pdf]
[supplementary material]

[DOI]
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context: Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu; [pdf]
[supplementary material]

[DOI]
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks: Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson; [pdf]
[supplementary material]

[DOI]
Semi-Supervised Learning of Optical Flow by Flow Supervisor: Woobin Im, Sebin Lee, Sung-Eui Yoon; [pdf]
[supplementary material]

[DOI]
Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization: Nikita Dvornik, Isma Hadji, Hai Pham, Dhaivat Bhatt, Brais Martinez, Afsaneh Fazly, Allan D. Jepson; [pdf]
[supplementary material]

[DOI]
Deep 360° Optical Flow Estimation Based on Multi-Projection Fusion: Yiheng Li, Connelly Barnes, Kun Huang, Fang-Lue Zhang; [pdf]
[supplementary material]

[DOI]
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos: Fanyi Xiao, Joseph Tighe, Davide Modolo; [pdf]
[DOI]
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection: Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar; [pdf]
[supplementary material]

[DOI]
Frozen CLIP Models Are Efficient Video Learners: Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li; [pdf]
[supplementary material]

[DOI]
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection: Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan; [pdf]
[supplementary material]

[DOI]
Panoramic Vision Transformer for Saliency Detection in 360° Videos: Heeseung Yun, Sehun Lee, Gunhee Kim; [pdf]
[supplementary material]

[DOI]
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration: Aditi Basu Bal, Ramy Mounir, Sathyanarayanan Aakur, Sudeep Sarkar, Anuj Srivastava; [pdf]
[supplementary material]

[DOI]
Motion Sensitive Contrastive Learning for Self-Supervised Video Representation: Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang; [pdf]
[supplementary material]

[DOI]
Dynamic Temporal Filtering In Video Models: Fuchen Long, Zhaofan Qiu, Yingwei Pan, Ting Yao, Chong-Wah Ngo, Tao Mei; [pdf]
[DOI]
Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification: Renrui Zhang, Wei Zhang, Rongyao Fang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li; [pdf]
[supplementary material]

[DOI]
Temporal Lift Pooling for Continuous Sign Language Recognition: Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng; [pdf]
[supplementary material]

[DOI]
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes: Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang; [pdf]
[supplementary material]

[DOI]
SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding: Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei; [pdf]
[supplementary material]

[DOI]
Cross-Modal Prototype Driven Network for Radiology Report Generation: Jun Wang, Abhir Bhalerao, Yulan He; [pdf]
[supplementary material]

[DOI]
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts: Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng; [pdf]
[supplementary material]

[DOI]
SeqTR: A Simple Yet Universal Network for Visual Grounding: Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji; [pdf]
[DOI]
VTC: Improving Video-Text Retrieval with User Comments: Laura Hanu, James Thewlis, Yuki M. Asano, Christian Rupprecht; [pdf]
[supplementary material]

[DOI]
FashionViL: Fashion-Focused Vision-and-Language Representation Learning: Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang; [pdf]
[supplementary material]

[DOI]
Weakly Supervised Grounding for VQA in Vision-Language Transformers: Aisha Urooj, Hilde Kuehne, Chuang Gan, Niels Da Vitoria Lobo, Mubarak Shah; [pdf]
[supplementary material]

[DOI]
Automatic Dense Annotation of Large-Vocabulary Sign Language Videos: Liliane Momeni, Hannah Bull, K R Prajwal, Samuel Albanie, Gül Varol, Andrew Zisserman; [pdf]
[supplementary material]

[DOI]
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval: Yuying Ge, Yixiao Ge, Xihui Liu, Jinpeng Wang, Jianping Wu, Ying Shan, Xiaohu Qie, Ping Luo; [pdf]
[supplementary material]

[DOI]
"GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval": Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou; [pdf]
[supplementary material]

[DOI]
A Simple and Robust Correlation Filtering Method for Text-Based Person Search: Wei Suo, Mengyang Sun, Kai Niu, Yiqi Gao, Peng Wang, Yanning Zhang, Qi Wu; [pdf]
[DOI]
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing: Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay; [pdf]
[supplementary material]

[DOI]
Generative Negative Text Replay for Continual Vision-Language Pretraining: Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He; [pdf]
[supplementary material]

[DOI]
Video Graph Transformer for Video Question Answering: Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan; [pdf]
[supplementary material]

[DOI]
Trace Controlled Text to Image Generation: Kun Yan, Lei Ji, Chenfei Wu, Jianmin Bao, Ming Zhou, Nan Duan, Shuai Ma; [pdf]
[supplementary material]

[DOI]
Video Question Answering with Iterative Video-Text Co-Tokenization: AJ Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova; [pdf]
[supplementary material]

[DOI]
Rethinking Data Augmentation for Robust Visual Question Answering: Long Chen, Yuhang Zheng, Jun Xiao; [pdf]
[supplementary material]

[DOI]
Explicit Image Caption Editing: Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao; [pdf]
[supplementary material]

[DOI]
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding: Jiachang Hao, Haifeng Sun, Pengfei Ren, Jingyu Wang, Qi Qi, Jianxin Liao; [pdf]
[supplementary material]

[DOI]
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly: Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach; [pdf]
[supplementary material]

[DOI]
GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features: Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani; [pdf]
[supplementary material]

[DOI]
Selective Query-Guided Debiasing for Video Corpus Moment Retrieval: Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo; [pdf]
[DOI]
Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding: Cheng Shi, Sibei Yang; [pdf]
[DOI]
Object-Centric Unsupervised Image Captioning: Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim; [pdf]
[supplementary material]

[DOI]
Contrastive Vision-Language Pre-training with Limited Resources: Quan Cui, Boyan Zhou, Yu Guo, Weidong Yin, Hao Wu, Osamu Yoshie, Yubo Chen; [pdf]
[supplementary material]

[DOI]
Learning Linguistic Association towards Efficient Text-Video Retrieval: Sheng Fang, Shuhui Wang, Junbao Zhuo, Xinzhe Han, Qingming Huang; [pdf]
[supplementary material]

[DOI]
ASSISTER: Assistive Navigation via Conditional Instruction Generation: Zanming Huang, Zhongkai Shangguan, Jimuyang Zhang, Gilad Bar, Matthew Boyd, Eshed Ohn-Bar; [pdf]
[DOI]
X-DETR: A Versatile Architecture for Instance-Wise Vision-Language Tasks: Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto; [pdf]
[supplementary material]

[DOI]
Learning Disentanglement with Decoupled Labels for Vision-Language Navigation: Wenhao Cheng, Xingping Dong, Salman Khan, Jianbing Shen; [pdf]
[supplementary material]

[DOI]
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input: Qingpei Guo, Kaisheng Yao, Wei Chu; [pdf]
[supplementary material]

[DOI]
Word-Level Fine-Grained Story Visualization: Bowen Li; [pdf]
[DOI]
Unifying Event Detection and Captioning as Sequence Generation via Pre-training: Qi Zhang, Yuqing Song, Qin Jin; [pdf]
[supplementary material]

[DOI]
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation: Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan; [pdf]
[DOI]
Fine-Grained Visual Entailment: Christopher Thomas, Yipeng Zhang, Shih-Fu Chang; [pdf]
[supplementary material]

[DOI]
Bottom Up Top down Detection Transformers for Language Grounding in Images and Point Clouds: Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki; [pdf]
[supplementary material]

[DOI]
New Datasets and Models for Contextual Reasoning in Visual Dialog: Yifeng Zhang, Ming Jiang, Qi Zhao; [pdf]
[supplementary material]

[DOI]
VisageSynTalk: Unseen Speaker Video-to-Speech Synthesis via Speech-Visage Feature Selection: Joanna Hong, Minsu Kim, Yong Man Ro; [pdf]
[supplementary material]

[DOI]
Classification-Regression for Chart Comprehension: Matan Levy, Rami Ben-Ari, Dani Lischinski; [pdf]
[supplementary material]

[DOI]
AssistQ: Affordance-Centric Question-Driven Task Completion for Egocentric Assistant: Benita Wong, Joya Chen, You Wu, Stan Weixian Lei, Dongxing Mao, Difei Gao, Mike Zheng Shou; [pdf]
[supplementary material]

[DOI]
FindIt: Generalized Localization with Natural Language Queries: Weicheng Kuo, Fred Bertsch, Wei Li, AJ Piergiovanni, Mohammad Saffar, Anelia Angelova; [pdf]
[supplementary material]

[DOI]
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling: Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Faisal Ahmed, Zicheng Liu, Yumao Lu, Lijuan Wang; [pdf]
[supplementary material]

[DOI]
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels: Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin; [pdf]
[supplementary material]

[DOI]
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning: Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi; [pdf]
[supplementary material]

[DOI]
Speaker-Adaptive Lip Reading with User-Dependent Padding: Minsu Kim, Hyunjun Kim, Yong Man Ro; [pdf]
[supplementary material]

[DOI]
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation: Tan M. Dinh, Rang Nguyen, Binh-Son Hua; [pdf]
[supplementary material]

[DOI]
SemAug: Semantically Meaningful Image Augmentations for Object Detection through Language Grounding: Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang; [pdf]
[supplementary material]

[DOI]
Referring Object Manipulation of Natural Images with Conditional Classifier-Free Guidance: Myungsub Choi; [pdf]
[DOI]
NewsStories: Illustrating Articles with Visual Summaries: Reuben Tan, Bryan A. Plummer, Kate Saenko, JP Lewis, Avneesh Sud, Thomas Leung; [pdf]
[supplementary material]

[DOI]
Webly Supervised Concept Expansion for General Purpose Vision Models: Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi; [pdf]
[supplementary material]

[DOI]
FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation: Kaiwen Zhou, Xin Eric Wang; [pdf]
[supplementary material]

[DOI]
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval: Haoran Wang, Dongliang He, Wenhao Wu, Boyang Xia, Min Yang, Fu Li, Yunlong Yu, Zhong Ji, Errui Ding, Jingdong Wang; [pdf]
[supplementary material]

[DOI]
Language-Driven Artistic Style Transfer: Tsu-Jui Fu, Xin Eric Wang, William Yang Wang; [pdf]
[supplementary material]

[DOI]
Single-Stream Multi-level Alignment for Vision-Language Pretraining: Zaid Khan, Vijay Kumar B G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu; [pdf]
[supplementary material]

[DOI]
Most and Least Retrievable Images in Visual-Language Query Systems: Liuwan Zhu, Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu; [pdf]
[supplementary material]

[DOI]
Sports Video Analysis on Large-Scale Data: Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes; [pdf]
[supplementary material]

[DOI]
Grounding Visual Representations with Texts for Domain Generalization: Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim; [pdf]
[supplementary material]

[DOI]
Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions: Joaquín Ossandón, Benjamín Earle, Alvaro Soto; [pdf]
[supplementary material]

[DOI]
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation: Adyasha Maharana, Darryl Hannan, Mohit Bansal; [pdf]
[supplementary material]

[DOI]
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance: Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff; [pdf]
[supplementary material]

[DOI]
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation: Xian Liu, Yinghao Xu, Qianyi Wu, Hang Zhou, Wayne Wu, Bolei Zhou; [pdf]
[supplementary material]

[DOI]
End-to-End Active Speaker Detection: Juan León Alcázar, Moritz Cordes, Chen Zhao, Bernard Ghanem; [pdf]
[supplementary material]

[DOI]
Emotion Recognition for Multiple Context Awareness: Dingkang Yang, Shuai Huang, Shunli Wang, Yang Liu, Peng Zhai, Liuzhen Su, Mingcheng Li, Lihua Zhang; [pdf]
[supplementary material]

[DOI]
Adaptive Fine-Grained Sketch-Based Image Retrieval: Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song; [pdf]
[supplementary material]

[DOI]
Quantized GAN for Complex Music Generation from Dance Videos: Ye Zhu, Kyle Olszewski, Yu Wu, Panos Achlioptas, Menglei Chai, Yan Yan, Sergey Tulyakov; [pdf]
[supplementary material]

[DOI]
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction: Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro; [pdf]
[DOI]
Localizing Visual Sounds the Easy Way: Shentong Mo, Pedro Morgado; [pdf]
[DOI]
Learning Visual Styles from Audio-Visual Associations: Tingle Li, Yichen Liu, Andrew Owens, Hang Zhao; [pdf]
[supplementary material]

[DOI]
Remote Respiration Monitoring of Moving Person Using Radio Signals: Jae-Ho Choi, Ki-Bong Kang, Kyung-Tae Kim; [pdf]
[supplementary material]

[DOI]
Camera Pose Estimation and Localization with Active Audio Sensing: Karren Yang, Michael Firman, Eric Brachmann, Clément Godard; [pdf]
[supplementary material]

[DOI]
PACS: A Dataset for Physical Audiovisual Commonsense Reasoning: Samuel Yu, Peter Wu, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency; [pdf]
[supplementary material]

[DOI]
VoViT: Low Latency Graph-Based Audio-Visual Voice Separation Transformer: Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro; [pdf]
[supplementary material]

[DOI]
Telepresence Video Quality Assessment: Zhenqiang Ying, Deepti Ghadiyaram, Alan Bovik; [pdf]
[DOI]
MultiMAE: Multi-modal Multi-task Masked Autoencoders: Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir; [pdf]
[supplementary material]

[DOI]
AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation: Efthymios Tzinis, Scott Wisdom, Tal Remez, John R. Hershey; [pdf]
[supplementary material]

[DOI]
Audio—Visual Segmentation: Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong; [pdf]
[supplementary material]

[DOI]
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression: Yeying Jin, Wenhan Yang, Robby T. Tan; [pdf]
[supplementary material]

[DOI]
Relationformer: A Unified Framework for Image-to-Graph Generation: Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern Menze; [pdf]
[supplementary material]

[DOI]
GAMa: Cross-view Video Geo-localization: Shruti Vyas, Chen Chen, Mubarak Shah; [pdf]
[supplementary material]

[DOI]
Revisiting a kNN-based Image Classification System with High-capacity Storage: Kengo Nakata, Youyang Ng, Daisuke Miyashita, Asuka Maki, Yu-Chieh Lin, Jun Deguchi; [pdf]
[supplementary material]

[DOI]
Geometric Representation Learning for Document Image Rectification: Hao Feng, Wengang Zhou, Jiajun Deng, Yuechen Wang, Houqiang Li; [pdf]
[supplementary material]

[DOI]
S2-VER: Semi-Supervised Visual Emotion Recognition: Guoli Jia, Jufeng Yang; [pdf]
[DOI]
Image Coding for Machines with Omnipotent Feature Learning: Ruoyu Feng, Xin Jin, Zongyu Guo, Runsen Feng, Yixin Gao, Tianyu He, Zhizheng Zhang, Simeng Sun, Zhibo Chen; [pdf]
[supplementary material]

[DOI]
Feature Representation Learning for Unsupervised Cross-Domain Image Retrieval: Conghui Hu, Gim Hee Lee; [pdf]
[supplementary material]

[DOI]
"Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition": Shilin Xu, Xiangtai Li, Jingbo Wang, Guangliang Cheng, Yunhai Tong, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Semantic-Guided Multi-Mask Image Harmonization: Xuqian Ren, Yifan Liu; [pdf]
[supplementary material]

[DOI]
Learning an Isometric Surface Parameterization for Texture Unwrapping: Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras; [pdf]
[DOI]
Towards Regression-Free Neural Networks for Diverse Compute Platforms: Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia; [pdf]
[supplementary material]

[DOI]
Relationship Spatialization for Depth Estimation: Xiaoyu Xu, Jiayan Qiu, Xinchao Wang, Zhou Wang; [pdf]
[supplementary material]

[DOI]
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models: Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka; [pdf]
[supplementary material]

[DOI]
FAR: Fourier Aerial Video Recognition: Divya Kothandaraman, Tianrui Guan, Xijun Wang, Shuowen Hu, Ming Lin, Dinesh Manocha; [pdf]
[supplementary material]

[DOI]
Translating a Visual LEGO Manual to a Machine-Executable Plan: Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu; [pdf]
[supplementary material]

[DOI]
Fabric Material Recovery from Video Using Multi-Scale Geometric Auto-Encoder: Junbang Liang, Ming Lin; [pdf]
[DOI]
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment: Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu; [pdf]
[supplementary material]

[DOI]
The One Where They Reconstructed 3D Humans and Environments in TV Shows: Georgios Pavlakos, Ethan Weber, Matthew Tancik, Angjoo Kanazawa; [pdf]
[supplementary material]

[DOI]
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information: Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh Iyer; [pdf]
[supplementary material]

[DOI]
An Efficient Person Clustering Algorithm for Open Checkout-Free Groceries: Junde Wu, Yu Zhang, Rao Fu, Yuanpei Liu, Jing Gao; [pdf]
[supplementary material]

[DOI]
POP: Mining POtential Performance of New Fashion Products via Webly Cross-Modal Query Expansion: Christian Joppi, Geri Skenderi, Marco Cristani; [pdf]
[supplementary material]

[DOI]
Pose Forecasting in Industrial Human-Robot Collaboration: Alessio Sampieri, Guido Maria D’Amely di Melendugno, Andrea Avogaro, Federico Cunico, Francesco Setti, Geri Skenderi, Marco Cristani, Fabio Galasso; [pdf]
[supplementary material]

[DOI]
Actor-Centered Representations for Action Localization in Streaming Videos: Sathyanarayanan Aakur, Sudeep Sarkar; [pdf]
[supplementary material]

[DOI]
Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT: Xiufeng Xie, Ning Zhou, Wentao Zhu, Ji Liu; [pdf]
[DOI]
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment: Paritosh Parmar, Amol Gharat, Helge Rhodin; [pdf]
[supplementary material]

[DOI]
Responsive Listening Head Generation: A Benchmark Dataset and Baseline: Mohan Zhou, Yalong Bai, Wei Zhang, Ting Yao, Tiejun Zhao, Tao Mei; [pdf]
[supplementary material]

[DOI]
"Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics": Sen Zhang, Jing Zhang, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
TIPS: Text-Induced Pose Synthesis: Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya, Umapada Pal, Michael Blumenstein; [pdf]
[supplementary material]

[DOI]
Addressing Heterogeneity in Federated Learning via Distributional Transformation: Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao; [pdf]
[DOI]
Where in the World Is This Image? Transformer-Based Geo-Localization in the Wild: Shraman Pramanick, Ewa M. Nowara, Joshua Gleason, Carlos D. Castillo, Rama Chellappa; [pdf]
[supplementary material]

[DOI]
Colorization for In Situ Marine Plankton Images: Guannan Guo, Qi Lin, Tao Chen, Zhenghui Feng, Zheng Wang, Jianping Li; [pdf]
[supplementary material]

[DOI]
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection: Mingyu Yang, Yu Chen, Hun-Seok Kim; [pdf]
[supplementary material]

[DOI]
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch: Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang, James Hays; [pdf]
[supplementary material]

[DOI]
A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D: Tianyi Liu, Sen He, Vinodh Kumaran Jayakumar, Wei Wang; [pdf]
[DOI]
AutoTransition: Learning to Recommend Video Transition Effects: Yaojie Shen, Libo Zhang, Kai Xu, Xiaojie Jin; [pdf]
[supplementary material]

[DOI]
Online Segmentation of LiDAR Sequences: Dataset and Algorithm: Romain Loiseau, Mathieu Aubry, Loïc Landrieu; [pdf]
[DOI]
Open-World Semantic Segmentation for LIDAR Point Clouds: Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Mingqian Tang, Ming Liu, Michael Yu Wang; [pdf]
[DOI]
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients: Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger; [pdf]
[supplementary material]

[DOI]
Differentiable Raycasting for Self-Supervised Occupancy Forecasting: Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan; [pdf]
[supplementary material]

[DOI]
InAction: Interpretable Action Decision Making for Autonomous Driving: Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, Zhengming Ding; [pdf]
[supplementary material]

[DOI]
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection: Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov; [pdf]
[supplementary material]

[DOI]
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving: Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu; [pdf]
[supplementary material]

[DOI]
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving: Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov; [pdf]
[supplementary material]

[DOI]
StretchBEV: Stretching Future Instance Prediction Spatially and Temporally: Adil Kaan Akan, Fatma Güney; [pdf]
[supplementary material]

[DOI]
RCLane: Relay Chain Prediction for Lane Detection: Shenghua Xu, Xinyue Cai, Bin Zhao, Li Zhang, Hang Xu, Yanwei Fu, Xiangyang Xue; [pdf]
[supplementary material]

[DOI]
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation: Antonin Vobecky, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic; [pdf]
[supplementary material]

[DOI]
CenterFormer: Center-based Transformer for 3D Object Detection: Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, Hassan Foroosh; [pdf]
[supplementary material]

[DOI]
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches: Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang; [pdf]
[supplementary material]

[DOI]
ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning: Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark: Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan; [pdf]
[supplementary material]

[DOI]
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation: Kwonyoung Kim, Jungin Park, Jiyoung Lee, Dongbo Min, Kwanghoon Sohn; [pdf]
[supplementary material]

[DOI]
BRNet: Exploring Comprehensive Features for Monocular Depth Estimation: Wencheng Han, Junbo Yin, Xiaogang Jin, Xiangdong Dai, Jianbing Shen; [pdf]
[supplementary material]

[DOI]
SiamDoGe: Domain Generalizable Semantic Segmentation Using Siamese Network: Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Lili Ju, Song Wang; [pdf]
[supplementary material]

[DOI]
Context-Aware Streaming Perception in Dynamic Environments: Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica; [pdf]
[supplementary material]

[DOI]
SpOT: Spatiotemporal Modeling for 3D Object Tracking: Colton Stearns, Davis Rempe, Jie Li, Rareș Ambruș, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas; [pdf]
[supplementary material]

[DOI]
Multimodal Transformer for Automatic 3D Annotation and Object Detection: Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Lam, Siew-Chong Tan, Ngai Wong; [pdf]
[supplementary material]

[DOI]
Dynamic 3D Scene Analysis by Point Cloud Accumulation: Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler; [pdf]
[supplementary material]

[DOI]
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection: Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He; [pdf]
[supplementary material]

[DOI]
"JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes": Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao; [pdf]
[supplementary material]

[DOI]
Semi-Supervised 3D Object Detection with Proficient Teachers: Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang; [pdf]
[DOI]
Point Cloud Compression with Sibling Context and Surface Priors: Zhili Chen, Zian Qian, Sukai Wang, Qifeng Chen; [pdf]
[supplementary material]

[DOI]
Lane Detection Transformer Based on Multi-Frame Horizontal and Vertical Attention and Visual Transformer Module: Han Zhang, Yunchao Gu, Xinliang Wang, Junjun Pan, Minghui Wang; [pdf]
[DOI]
ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection: Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang; [pdf]
[DOI]
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map: Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan; [pdf]
[supplementary material]

[DOI]
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions: Nikhil Reddy, Abhinav Singhal, Abhishek Kumar, Mahsa Baktashmotlagh, Chetan Arora; [pdf]
[supplementary material]

[DOI]
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds: Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov; [pdf]
[supplementary material]

[DOI]
Visual Cross-View Metric Localization with Dense Uncertainty Estimates: Zimin Xia, Olaf Booij, Marco Manfredi, Julian F. P. Kooij; [pdf]
[supplementary material]

[DOI]
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer: Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, Jiaqi Ma; [pdf]
[supplementary material]

[DOI]
DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction: Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li; [pdf]
[DOI]
Action-Based Contrastive Learning for Trajectory Prediction: Marah Halawa, Olaf Hellwich, Pia Bideau; [pdf]
[DOI]
Radatron: Accurate Detection Using Multi-Resolution Cascaded MIMO Radar: Sohrab Madani, Jayden Guan, Waleed Ahmed, Saurabh Gupta, Haitham Hassanieh; [pdf]
[supplementary material]

[DOI]
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection: Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu; [pdf]
[supplementary material]

[DOI]
Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks: Maosheng Ye, Rui Wan, Shuangjie Xu, Tongyi Cao, Qifeng Chen; [pdf]
[DOI]
FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds: Lihe Ding, Shaocong Dong, Tingfa Xu, Xinli Xu, Jie Wang, Jianan Li; [pdf]
[DOI]
SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global Cross-Sensor Attention: Simon Doll, Richard Schulz, Lukas Schneider, Viviane Benzin, Markus Enzweiler, Hendrik P.A. Lensch; [pdf]
[DOI]
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes: Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro; [pdf]
[supplementary material]

[DOI]
Rethinking Closed-Loop Training for Autonomous Driving: Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
SLiDE: Self-Supervised LiDAR De-Snowing through Reconstruction Difficulty: Gwangtak Bae, Byungjun Kim, Seongyong Ahn, Jihong Min, Inwook Shim; [pdf]
[supplementary material]

[DOI]
Generative Meta-Adversarial Network for Unseen Object Navigation: Sixian Zhang, Weijie Li, Xinhang Song, Yubing Bai, Shuqiang Jiang; [pdf]
[supplementary material]

[DOI]
Object Manipulation via Visual Target Localization: Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi; [pdf]
[supplementary material]

[DOI]
MoDA: Map Style Transfer for Self-Supervised Domain Adaptation of Embodied Agents: Eun Sun Lee, Junho Kim, SangWon Park, Young Min Kim; [pdf]
[supplementary material]

[DOI]
Housekeep: Tidying Virtual Households Using Commonsense Reasoning: Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal; [pdf]
[supplementary material]

[DOI]
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects: Qiyu Dai, Jiyao Zhang, Qiwei Li, Tianhao Wu, Hao Dong, Ziyuan Liu, Ping Tan, He Wang; [pdf]
[supplementary material]

[DOI]
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction: Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao; [pdf]
[supplementary material]

[DOI]
OPD: Single-View 3D Openable Part Detection: Hanxiao Jiang, Yongsen Mao, Manolis Savva, Angel X. Chang; [pdf]
[supplementary material]

[DOI]
AirDet: Few-Shot Detection without Fine-Tuning for Autonomous Exploration: Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian Scherer; [pdf]
[supplementary material]

[DOI]
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance: Hongtao Wen, Jianhang Yan, Wanli Peng, Yi Sun; [pdf]
[supplementary material]

[DOI]
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning: Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo; [pdf]
[supplementary material]

[DOI]
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors: Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki; [pdf]
[supplementary material]

[DOI]
Learning Efficient Multi-agent Cooperative Visual Exploration: Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu; [pdf]
[supplementary material]

[DOI]
Zero-Shot Category-Level Object Pose Estimation: Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner; [pdf]
[supplementary material]

[DOI]
Sim-to-Real 6D Object Pose Estimation via Iterative Self-Training for Robotic Bin Picking: Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou; [pdf]
[supplementary material]

[DOI]
Active Audio-Visual Separation of Dynamic Sound Sources: Sagnik Majumder, Kristen Grauman; [pdf]
[supplementary material]

[DOI]
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos: Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang; [pdf]
[supplementary material]

[DOI]
Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments: Jacob Krantz, Stefan Lee; [pdf]
[supplementary material]

[DOI]
Style-Agnostic Reinforcement Learning: Juyong Lee, Seokjun Ahn, Jaesik Park; [pdf]
[supplementary material]

[DOI]
Self-Supervised Interactive Object Segmentation through a Singulation-and-Grasping Approach: Houjian Yu, Changhyun Choi; [pdf]
[supplementary material]

[DOI]
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation: Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev; [pdf]
[supplementary material]

[DOI]
"BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking": Dorian F. Henning, Tristan Laidlow, Stefan Leutenegger; [pdf]
[supplementary material]

[DOI]
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion: Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann; [pdf]
[supplementary material]

[DOI]
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning: Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu; [pdf]
[supplementary material]

[DOI]
Video Dialog As Conversation about Objects Living in Space-Time: Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran; [pdf]
[supplementary material]

[DOI]

Quaternion Equivariant Capsule Networks for 3D Point Clouds: Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari; [pdf]
[supplementary material]

[DOI]
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares: Yizhak Ben-Shabat, Stephen Gould; [pdf]
[supplementary material]

[DOI]
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search: Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti; [pdf]
[supplementary material]

[DOI]
Describing Textures using Natural Language: Chenyun Wu, Mikayla Timm, Subhransu Maji; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
AiR: Attention with Reasoning Capability: Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao; [pdf]
[supplementary material]

[DOI]
Self6D: Self-Supervised Monocular 6D Object Pose Estimation: Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab , Federico Tombari; [pdf]
[supplementary material]

[DOI]
Invertible Image Rescaling: Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu; [pdf]
[supplementary material]

[DOI]
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation: Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
Crowdsampling the Plenoptic Function: Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
DeepSFM: Structure From Motion Via Deep Bundle Adjustment: Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue; [pdf]
[supplementary material]

[DOI]
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry: Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
Conditional Convolutions for Instance Segmentation: Zhi Tian, Chunhua Shen, Hao Chen; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
Privacy Preserving Structure-from-Motion: Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schönberger, Marc Pollefeys; [pdf]
[supplementary material]

[DOI]
Rewriting a Deep Generative Model: David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba; [pdf]
[supplementary material]

[DOI]
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets: Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan; [pdf]
[supplementary material]

[DOI]
Long-term Human Motion Prediction with Scene Context: Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images: Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation: Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin; [pdf]
[supplementary material]

[DOI]
BorderDet: Border Feature for Dense Object Detection: Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun; [pdf]
[supplementary material]

[DOI]
Regularization with Latent Space Virtual Adversarial Training: Genki Osada, Budrul Ahsan, Revoti Prasad Bora, Takashi Nishide; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
Gradient Centralization: A New Optimization Technique for Deep Neural Networks: Hongwei Yong, Jianqiang Huang, Xiansheng Hua, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Content-Aware Unsupervised Deep Homography Estimation: Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Nianjin Ye, Jue Wang, Ji Zhou, Jian Sun; [pdf]
[supplementary material]

[DOI]
Multi-View Optimization of Local Feature Geometry: Mihai Dusmanu, Johannes L. Schönberger, Marc Pollefeys; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
Learning Stereo from Single Images: Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman; [pdf]
[supplementary material]

[DOI]
Prototype Rectification for Few-Shot Learning: Jinlu Liu, Liang Song, Yongqiang Qin; [pdf]
[supplementary material]

[DOI]
Learning Feature Descriptors using Camera Pose Supervision: Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
Appearance Consensus Driven Self-Supervised Human Mesh Recovery: Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu; [pdf]
[supplementary material]

[DOI]
Diffraction Line Imaging: Mark Sheinin, Dinesh N. Reddy, Matthew O’Toole, Srinivasa G. Narasimhan; [pdf]
[supplementary material]

[DOI]
Aligning and Projecting Images to Class-conditional Generative Networks: Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann; [pdf]
[supplementary material]

[DOI]
Suppress and Balance: A Simple Gated Network for Salient Object Detection: Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang; [pdf]
[supplementary material]

[DOI]
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning: Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
In-Home Daily-Life Captioning Using Radio Signals: Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi; [pdf]
[supplementary material]

[DOI]
Self-Challenging Improves Cross-Domain Generalization: Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang; [pdf]
[supplementary material]

[DOI]
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering: Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu; [pdf]
[supplementary material]

[DOI]
Multitask Learning Strengthens Adversarial Robustness: Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song , Junfeng Yang, Carl Vondrick; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
Improving Deep Video Compression by Resolution-adaptive Flow Coding: Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu; [pdf]
[supplementary material]

[DOI]
Motion Capture from Internet Videos: Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling: Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao; [pdf]
[supplementary material]

[DOI]
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction: Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation: Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image: Stefan Popov, Pablo Bauszat, Vittorio Ferrari; [pdf]
[supplementary material]

[DOI]
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs: Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao; [pdf]
[supplementary material]

[DOI]
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow: Zachary Teed, Jia Deng; [pdf]
[supplementary material]

[DOI]
Domain-invariant Stereo Matching Networks: Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, Philip Torr; [pdf]
[supplementary material]

[DOI]
DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling: Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
Towards Streaming Perception: Mengtian Li, Yu-Xiong Wang, Deva Ramanan; [pdf]
[supplementary material]

[DOI]
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation: Rakshith Shetty, Mario Fritz, Bernt Schiele; [pdf]
[supplementary material]

[DOI]
Adversarial Generative Grammars for Human Activity Prediction: AJ Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo; [pdf]
[supplementary material]

[DOI]
GDumb: A Simple Approach that Questions Our Progress in Continual Learning: Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania; [pdf]
[supplementary material]

[DOI]
Learning Lane Graph Representations for Motion Forecasting: Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun; [pdf]
[supplementary material]

[DOI]
What Matters in Unsupervised Optical Flow: Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova; [pdf]
[supplementary material]

[DOI]
Synthesis and Completion of Facades from Satellite Imagery: Xiaowei Zhang, Christopher May, Daniel Aliaga; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning: Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang; [pdf]
[supplementary material]

[DOI]
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation: Marie-Julie Rakotosaona, Maks Ovsjanikov; [pdf]
[supplementary material]

[DOI]
Cross-Domain Cascaded Deep Translation: Oren Katzir, Dani Lischinski, Daniel Cohen-Or; [pdf]
[supplementary material]

[DOI]
“Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face Alignment: Tatsuro Koizumi, William A. P. Smith; [pdf]
[supplementary material]

[DOI]
Online Invariance Selection for Local Feature Descriptors: Rémi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys; [pdf]
[supplementary material]

[DOI]
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations: Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang; [pdf]
[supplementary material]

[DOI]
TextCaps: a Dataset for Image Captioning with Reading Comprehension: Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
LIMP: Learning Latent Shape Representations with Metric Preservation Priors: Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà; [pdf]
[supplementary material]

[DOI]
Unsupervised Sketch to Photo Synthesis: Runtao Liu, Qian Yu, Stella X. Yu; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification: Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari; [pdf]
[supplementary material]

[DOI]
Hierarchical Face Aging through Disentangled Latent Characteristics: Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
Learning to Localize Actions from Moments: Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei; [pdf]
[supplementary material]

[DOI]
ForkGAN: Seeing into the Rainy Night: Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve: Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai; [pdf]
[supplementary material]

[DOI]
A Unified Framework of Surrogate Loss by Refactoring and Interpolation: Lanlan Liu, Mingzhe Wang, Jia Deng; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
Memory-augmented Dense Predictive Coding for Video Representation Learning: Tengda Han, Weidi Xie, Andrew Zisserman; [pdf]
[supplementary material]

[DOI]
PointMixup: Augmentation for Point Clouds: Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[DOI]
Convolutional Occupancy Networks: Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
TIDE: A General Toolbox for Identifying Object Detection Errors: Daniel Bolya, Sean Foley, James Hays, Judy Hoffman; [pdf]
[supplementary material]

[DOI]
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding: Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, Or Litany; [pdf]
[supplementary material]

[DOI]
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation: Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang; [pdf]
[supplementary material]

[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]
[supplementary material]

[DOI]
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving: Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao; [pdf]
[supplementary material]

[DOI]
Video Object Segmentation with Episodic Graph Memory Networks: Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool; [pdf]
[supplementary material]

[DOI]
Rethinking Bottleneck Structure for Efficient Mobile Network Design: Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan; [pdf]
[supplementary material]

[DOI]
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks: Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik; [pdf]
[supplementary material]

[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]
[supplementary material]

[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]
[supplementary material]

[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