CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
General Chairs
Rama Chellappa, John Hopkins Univ.
Jiri Matas, Czech Tech. Univ.
Long Quan, HKUST
Mubarak Shah, U. of Central Florida
Program Chairs
Kristin Dana, Rutgers Univ.
Gang Hua, Wormpex AI Research
Stefan Roth, TU Darmstadt
Dimitris Samaras, Stony Brook Univ.
Richa Singh, IIT Jodhpur
Finance Chairs
Octavia Camps, Northeastern Univ.
Brian Price, Adobe Research
Workshop Chairs
Mohit Gupta, Univ. of Wisc.
Vishal Patel, John Hopkins Univ.
Richard Souvenir, Temple University
Tutorials Chairs
Boqing Gong, Google Research
Julien Mairal, INRIA
Doctoral Consortium Chairs
Minh Hoai, Stony Brook Univ.
Adriana Kovashka, Univ. of Pittsburgh
Technical Chair
Ke Ma, Maneet Singh
Local Arrangements Chairs
Philippos Mordohai, Stevens Inst. of Tech.
Jinwei Ye, LSU
Diversity, Equity, and Inclusion Chairs
Noah Snavely, Cornell University
Shuran Song, Columbia University
Social Activities Chairs
Giovanni M. Farinella, Univ. of Catania
Rana Hanocka, University of Chicago
Corporate Relations Chairs
Mei Han, Ping An Labs
Shiguang Shan, Chinese Academy of Science
Bjorn Stenger, Rakuten Inst. of Tech.
Demo Exhibit Chairs
Humphrey Shi, University of Oregon
Maria Vakalopoulou, CentraleSupélec, University Paris-Saclay
Presentation Chairs
Brendan Morris, Univ. of Nevada, Las Vegas
Zhixin Shu, Adobe Research
Publicity Chairs
Kosta Derpanis, Ryerson University
Publications Specialist
Eric Mortensen, Lucidyne Technologies
Website Chairs
Anton Milan, Amazon
AJ Piergiovanni, Google Inc.
Shiliang Zhang, Peking University
Event Producer
Nicole Bumpus Finn, C to C Events
Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of computer vision and pattern recognition including, but not limited to:
3D from multi-view & sensors
3D from single images
Action/event recognition
Adversarial attacks & defense
Behavior analysis Biometrics
Computational photography
Computer vision theory
Computer vision for social good
Datasets and evaluation
Deep learning architectures & techniques
Document analysis and understanding
Efficient learning and inference
Explainable computer vision
Face and gesture Image and video synthesis and generation
Low-level vision Machine learning
Medical, biological and cell microscopy
Motion and tracking Navigation and autonomous driving
Optimization methods
Photogrammetry and remote sensing
Physics-based vision and shape-from-X
Pose estimation and tracking
Privacy & federated learning
Recognition: detection, categorization, retrieval
Representation learning
RGBD sensors and analytics
Robot vision
Scene analysis and understanding
Segmentation, grouping & shape analysis
Statistical methods
Transfer/low-shot/long-tail learning
Transparency, fairness, accountability, privacy & ethics in vision
Self-/semi-/meta-/unsupervised learning
Video analysis and understanding
Vision + graphics
Vision + language
Vision + X Vision applications and systems
Visual reasoning Others
06月19日
2022
06月20日
2022
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
2027年06月19日 美国 Seattle
2027 IEEE/CVF Conference on Computer Vision and Pattern Recognition2026年06月06日 美国 Washington
2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition2021年06月19日
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops2018年06月18日 美国
2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops2017年07月21日 美国 Hawaii
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops
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