Welcome to the homepage of the “European Computer Vision Association (ECVA)”, a non-profit organization domiciled in Zurich. The Association’s mission is the furthering of information dissemination concerning research on the theory and practice of computer vision. It will promote the field and its researchers by the organisation of dedicated activities.
ECVA will, inter alia, carry out activities to organise the European Conference on Computer Vision (ECCV) series and support the organisers of the ECCV both scientifically and logistically. Below you will find an overview of some past, current and future ECCV conferences for further information.
|ECCV||City||General Chairs||Program Chairs||Website||Papers||Web Archive|
|2022||Tel Aviv||Rita Cucchiara, Jiri Matas, Amnon Shashua, Lihi Zelnik-Manor||Shai Avidan, Gabriel Brostow, Giovanni Maria Farinella, Tal Hassner||https://eccv2022.ecva.net|
|2020||Glasgow, Scotland||Bob Fisher, Emanuele Trucco, Vittorio Ferrari, Cordelia Schmid||Andrea Vedaldi, Jan Michael Frahm, Thomas Brox, Horst Bischof||http://eccv2020.eu|
|2018||Munich, Germany||Horst Bischof, Daniel Cremers, Bernt Schiele, Ramin Zabih||Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, Yair Weiss||https://eccv2018.org|
|2016||Amsterdam, Netherlands||Theo Gevers, Arnold Smeulders||Jiri Matas, Bastian Leibe, Max Welling, Nicu Sebe||http://www.eccv2016.org|
|2014||Zürich, Switzerland||Luc Van Gool, Marc Pollefeys||Tinne Tuytelaars, Bernt Schiele, Tomas Pajdla, David Fleet||http://eccv2014.org|
|2012||Firenze, Italy||Roberto Cipolla, Carlo Colombo, Alberto Del Bimbo||Andrew Fitzgibbon, Svetlana Lazebnik, Yoichi Sato, Cordelia Schmid||https://eccv2012.unifi.it|
|2010||Crete, Greece||Antonis Argyros, Panos Trahanias, George Tziritas||Kostas Daniilidis, Petros Maragos, Nikos Paragios||https://www.ics.forth.gr/eccv2010|
|2008||Marseille, France||Jean Ponce||David Forsyth, Philip Torr, Andrew Zisserman||http://eccv2008.inrialpes.fr|
|2006||Graz, Austria||Axel Pinz||Horst Bischof, Ales Leonardis||http://eccv2006.tugraz.at|
|2004||Prague, Czech Republic||Vaclav Hlavac||Tomas Pajdla, Jiri (George) Matas||http://cmp.felk.cvut.cz/eccv2004/|
Below a comprehensive listing of ECCV awards since 2004.
Best Paper AwardsXingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh
On the Versatile Uses of Partial Distance Correlation in Deep Learning
Best Paper Awards – Honorable MentionIshit Mehta, Manmohan Chandraker, Ravi Ramamoorthi
A Level Set Theory for Neural Implicit Evolution under Explicit FlowsGarvita Tiwari, Dimitrije Antic, Jan E. Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll
Pose-NDF: Modelling Human Pose Manifolds with Neural Distance Fields
Everingham PrizeWalter J. Scheirer
Outstanding long-term service to the computer vision communityKhurram Soomro, Amir Roshan Zamir and Mubarak Shah, Hilde Kuehne, Hueihan Jhuang, Estibaliz Garrote, Tomaso A. Poggio, Thomas Serre
The UCF101 and HMD51 dataset teams
Koenderink PrizeDaniel J. Butler, Jonas Wulff, Garrett B. Stanley, Michael J. Black
A naturalistic open source movie for optical flow evaluationNathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus
Indoor Segmentation and Support Inference from RGBD Images
Best DemoYair Moshe, Dan-Ilan Ben-David, Eran Mann, Sagie Baboach, Iddo Bar-Haim, Shoval Gerbi, Adam Katav, Technion – Israel Institute of Technology, Israel
Using a Smartphone for Augmented Reality in a Classroom
Best Paper AwardsZachary Teed, Jia Deng
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Best Paper Awards – Honorable MentionMengtian Li, Yu-Xiong Wang, Deva Ramanan
Towards Streaming PerceptionBen Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Everingham PrizeAntonio Torralba
Multiple DatasetsJohannes Schönberger
COLMAP SFM and MVS software library
Koenderink PrizeFlorent Perronnin, Jorge Sánchez and Thomas Mensink
Improving the Fisher Kernel for Large-Scale Image ClassificationMichael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua
Brief: Binary robust independent elementary features
Best DemoRita Cucchiara, Matteo Fabbri, and Simone Calderara, University of Modena and Reggio Emilia, Italy
Best Paper AwardsMartin Sundermeyer, Zoltan Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
Best Paper Awards – Honorable MentionYuxin Wu, Kaiming He
Group NormalizationAlbert Pumarola, Antonio Agudo, Aleix M. Martinez, Alberto Sanfeliu, Francesco Moreno-Noguer
GANimation: Anatomically-aware Facial Animation from a Single Image
Everingham PrizeAlan Smeaton, Wessel Kraaij, Paul Over, George Awad
For a series of datasets and workshops since 2003 that have driven progress in large scale Video Retrieval.Changchang Wu
For providing a well documented software library for Structure from Motion that has been used effortlessly by so many.
Koenderink PrizeHerve Jegou, Matthijs Douze, Cordelia Schmid
Hamming Embedding and Weak Geometric Consistency for Large Scale Image SearchHelmut Grabner, Christian Leistner, Horst Bischof
Semi-supervised On-Line Boosting for Robust Tracking
Best Paper AwardsHanme Kim, Stefan Leutenegger, and Andrew J. Davison
Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera
Best Paper Awards – Honorable MentionJonathan Barron and Ben Poole
The Fast Bilateral Solver
Everingham PrizeAlex Berg, Jia Deng, Fei-Fei Li, Wei, Liu, Olga Russakovsky and team – ImageNet
For a series of datasets and challenges since 2010 that have had such impact on the computer vision field. ImageNet built on the Caltech101/256 datasets, increasing the number of images by orders of magnitude and enabling the development of new algorithms.Ramin Zabih
For extensive, generous, service to the community: As long-term head of the IEEE PAMI Technical Committee he introduced many reforms, including to the awards process and the relationship to the IEEE. And he has been the driving force in creating and running the Computer Vision Foundation (CVF).
Koenderink PrizeHerbert Bay, Tinne Tuytelaars, and Luc Van Gool
Surf: Speeded up robust features (ECCV 2006)Edward Rosten and Tom Drummond
Machine learning for high-speed corner detection (ECCV 2006)
Best Student Paper AwardEmma Alexander, Qi Guo, Sanjeev Koppal, Steven Gortler, and Todd Zickler
Focal Flow: Measuring Distance and Velocity with Defocus and Differential Motion
Best Paper AwardsKevin Matzen and Noah Snavely
Scene ChronologyJia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam
Large-Scale Object Classification using Label Relation Graphs
Best Paper Awards – Honorable MentionMatt Zeiler and Rob Fergus
Visualizing and Understanding Convolutional Neural Networks
PAMI Everingham PrizeTerry and Ginger Boult
For extensive, generous, long-term service to the community in the management of computer vision conferences and workshops.
Koenderink PrizeThomas Brox, Andrès Bruhn, Nils Papenberg & Joachim Weickert (ECCV 2004)
High Accuracy Optical Flow Estimation Based on a Theory for WarpingTimo Ahonen, Abdenour Hadid & Matti Pietikäinen (ECCV 2004)
Face Recognition with Local Binary Patterns
Best Paper AwardDaniel Kuettel, Matthieu Guillaumin and Vittorio Ferrari
Segmentation Propagation in ImageNet
Best Paper Award – Honorable MentionKris Kitani, Brian D. Ziebart, James Bagnell and Martial Hebert
Koenderink PrizeVladimir Kolmogorov and Ramin Zabih
What Energy Functions Can Be Minimized via Graph Cuts?
Best Student Paper AwardJianxiong Xiao and Yasutaka Furukawa
Reconstructing the World’s Museums
Best Paper AwardL. Laticky, C. Russell, P. Kohli and P.H.S. Torr
Graph Cut based Inference with Co-occurrence Statistics
Runner-Up Paper AwardA. Gupta, A. Efros and M. Hebert
Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics
Koenderink PrizeH. Sidenbladh, M.J. Black and D.J. Fleet
Stochastic Tracking of 3D Human Figures Using 2D Image Motion (ECCV 2000)M. Weber, M. Welling and P. Perona
For the ECCV’2000 paper entitled: Unsupervised Learning of Models for Recognition
Best Student Paper AwardT. Pätz and T. Preusser
Ambrosio-Tortorelli Segmentation of Stochastic Images
Best Paper AwardGeremy Heitz and Daphne Koller
Learning Spatial Context: Using Stuff to Find Things
Koenderink PrizeMichael Isard and Andrew Blake
Contour Tracking by Stochastic Propagation of Conditional Density (ECCV 1996)Olivier Faugeras, Quang-Tuan Luong, and Steve Maybank
Camera self-calibration: theory and experiments (ECCV 1992)
Best Student Paper AwardMatthew B. Blaschko and Christoph H. Lampert
Learning to Localize Objects with Structured Output Regression
Longuet-Higgins Best Paper AwardAnat Levin, Yair Weiss
Learning to Combine Bottom-up and Top-down Segmentation
Best Paper Award – Honorable MentionSamuel W. Hasinoff, Kiriakos N. Kutulakos
Confocal StereoOmar Ait-Aider, Nicolas Andreff, Jean Marc Lavest, and Philippe Martinet
Simultaneous Object Pose and Velocity Computation Using a Single View from a Rolling Shutter Camera
Longuet-Higgins Best Paper AwardT. Brox, A. Bruhn, N. Papenberg, and J. Weickert
High Accuracy Optical Flow Estimation Based on a Theory for Warping
Best Paper Award – Honorable MentionRené Vidal and Yi Ma
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation
Best Paper – Cognitive VisionKenji Okuma, Ali Taleghani, Nando de Freitas, James J. Little, and David G. Lowe
A Boosted Particle Filter: Multitarget Detection and Tracking
ECVA PhD Award
Iro LainaSemantics, Language and Geometry: Learning to Understand the Scene
Iro Laina’s dissertation addresses a broad range of challenging problems in computer vision, and specifically in scene understanding. The dissertation makes a series of timely, strong, and innovative scientific contributions by breaking down the overarching scene understanding problem to geometric, semantic, and linguistic components. It advances the state of the art in perceptual tasks and in the intersection of vision and language. The content of the thesis has been adopted in widespread real-world applications and has created significant impact.
Yongqin XianLearning from Limited Labeled Data – Zero Shot and Few-Shot Learning
Yongqin Xian made significant contributions in the area of zero-shot and few-shot learning. He proposed novel feature generating frameworks that have defined the state of the art in this area. He introduced the first approach for zero-label semantic segmentation and pushed the boundary of few-shot video classification by leveraging unlabeled videos from a large dataset. In addition, his zero-shot learning benchmark has become highly influential in the field.
Marcella CorniaLearning to Describe Salient Objects in Images with Vision and Language
Marcella Cornia is a cocktail of excellent technical expertise and great intellectual curiosity; the cherry on the glass is her kindness and willingness to work in both pure research projects, industrial research, and public engagement.
Triantafyllos AfourasAudio-visual Deep Learning
Triantafyllos Afouras’ outstanding dissertation introduces multiple creative ways to use audio and visual data in machine learning and in applications. It explores cross-modal and self-supervised learning for the important areas of lip reading, audio-visual speaker separation and enhancement, audio-visual object detection, and sign language recognition. Both the scientific outcomes of the dissertation and the datasets released have had a high impact in terms of citations and downloads.
With the ECVA PhD Award, ECVA recognizes and encourages outstanding research achievements during the dissertation phase, in the field of computer vision. Each awardee will receive Euro 2500 prize money. There will be two awards every year, which will be awarded at the next ECCV conference. This year, exceptionally, there will be four awards, two for dissertations of 2020 and two for dissertations of 2021.
DeadlineThe deadline for nominating a dissertation for the year 2020 and 2021 is:
June 24, 2022 (End of Day, Anywhere on Earth)
(extended due to popular request)
EligibilityAny European dissertation in the area of computer vision that has been defended in 2020 / 2021 can be nominated. A dissertation is considered European if the dissertation has been performed primarily at a European research institution.
Selection CriteriaDissertations will be reviewed for technical depth and significance of the research contribution and potential impact on theory and practice.
How to NominateThe nomination (self-nominations by the author of the dissertation are not allowed) must include:
- A short summary (approx. 2 pages) of the main research achievements of the dissertation
- 2-3 of the most important publications
- A scan of the dissertation certificate (which includes the date of the defense)
- Final version of the dissertation as pdf (or link to pdf)
- The candidate’s CV
- A short laudation (40-80 words)
Please use this template (pdf) (latex) to nominate a candidate and send the nomination (preferably as a single pdf file) to email@example.com. If you should have any questions, please send an email to firstname.lastname@example.org.
ECVA Young Researcher Award
Zeynep Akata has had a number of significant contributions in multimodal deep learning, in vision and language for low-shot learning and in explainable machine learning. Her research defined the state of the art for zero-shot learning and her natural language explanations provided novel human-understandable justifications both for fine-grained visual classification and autonomous driving. She is a full professor at Tubingen University and leads a research group there. She has received a number of awards.
With a remarkable combination of creativity, productivity, and technical depth, Amir Zamir stands out as an emerging superstar in Computer Vision. Since earning his PhD, Prof. Zamir has pioneered highly influential approaches in multi-task/transfer learning and 3D environment simulation that serve as inspiration not simply for follow-up papers, but for entire research groups – both in academia and in industry. His work points the way forward as our field transitions from the era of “dataset AI” to the embodied AI future.
With the Young Researcher Award, ECVA recognizes and encourages outstanding research achievements of young researchers in Computer Vision. Each awardee will receive Euro 5000 prize money. There will be one award every year, which will be awarded at the next ECCV conference. This year, there will be two awards for the years 2021 and 2022.
DeadlineThe deadline for nominating a candidate for the year 2021 and 2022 is:
May 31, 2022 (End of Day, Anywhere on Earth)
EligibilityYoung researchers must be based at a European research institution and should not be older than 35. Their main scope of research should be in Computer Vision or be strongly linked to Computer Vision.
Selection CriteriaNominations will be reviewed by a selection committee for the quality and significance of the research contributions of the young researcher. Emphasis will be on the research after their PhD.
How to NominateThe nomination (self-nominations are not allowed) must include:
- A short summary (approx. 2 pages) of the main research achievements
- 3-5 of the most important publications
- A scan of the dissertation certificate (which includes the date of the defense)
- The candidate’s CV
- A short laudation (40-80 words)
Please use this template (pdf) (latex) to nominate a candidate and send the nomination (preferably as a single pdf file) to email@example.com If you should have any questions, please send an email to firstname.lastname@example.org.