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.
Rama Chellappa， John Hopkins Univ.
Jiri Matas， Czech Tech. Univ.
Long Quan， HKUST
Mubarak Shah， U. of Central Florida
Kristin Dana， Rutgers Univ.
Gang Hua， Wormpex AI Research
Stefan Roth， TU Darmstadt
Dimitris Samaras， Stony Brook Univ.
Richa Singh， IIT Jodhpur
Octavia Camps， Northeastern Univ.
Brian Price， Adobe Research
Mohit Gupta， Univ. of Wisc.
Vishal Patel， John Hopkins Univ.
Richard Souvenir， Temple University
Boqing Gong， Google Research
Julien Mairal， INRIA
Doctoral Consortium Chairs
Minh Hoai， Stony Brook Univ.
Adriana Kovashka， Univ. of Pittsburgh
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
Brendan Morris， Univ. of Nevada, Las Vegas
Zhixin Shu， Adobe Research
Kosta Derpanis， Ryerson University
Eric Mortensen， Lucidyne Technologies
Anton Milan， Amazon
AJ Piergiovanni， Google Inc.
Shiliang Zhang， Peking University
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
Adversarial attacks & defense
Behavior analysis Biometrics
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
Photogrammetry and remote sensing
Physics-based vision and shape-from-X
Pose estimation and tracking
Privacy & federated learning
Recognition: detection, categorization, retrieval
RGBD sensors and analytics
Scene analysis and understanding
Segmentation, grouping & shape analysis
Transparency, fairness, accountability, privacy & ethics in vision
Video analysis and understanding
Vision + graphics
Vision + language
Vision + X Vision applications and systems
Visual reasoning Others
Draft paper submission deadline
Draft Paper Acceptance Notification
Final Paper Deadline
2027-06-19 United States Seattle2027 IEEE/CVF Conference on Computer Vision and Pattern Recognition
2026-06-06 United States Washington2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition
2021-06-192021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
2018-06-18 United States2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops
2017-07-21 United States Hawaii2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops