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.
Due to the continuing impact and future unpredictability of the COVID-19 pandemic, CVPR 2021 is moving to a virtual event. This was a difficult decision, but the safety and well-being of our participants is our utmost priority. While we understand that a virtual event cannot replicate the experience of a physical meeting, we will work hard to provide a high quality alternative that allows the exchange of our community's latest research and ideas.
Sponsor Type:1; 9
General Chairs
Michael S. Brown
York University
Rahul Sukthankar
Google
Tieniu Tan
Chinese Academy of Sciences
Lihi Zelnik
Technion
Program Chairs
David Forsyth
University of Illinois Urbana-Champaign
Georgia Gkioxari
Facebook
Tinne Tuytelaars
KU Leuven
Ruigang Yang
University of Kentucky
Jingyi Yu
Shanghai Tech
Diversity, Equity, and Inclusion Chairs
Tamara Berg
University of North Carolina
Richard Souvenir
Temple University
Finance Chairs
Walter Scheirer
University of Notre Dame
Ramin Zabih
Google
Workshop Chairs
Bohyung Han
Seoul National University
Caroline Pantofaru
Google
Torsten Sattler
Chalmers University
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:
2D object recognition
3D computer vision
3D object recognition
Action and behavior recognition
Adversarial learning, adversarial attack and defense methods
Biometrics, face, gesture, body pose
Computational photography
Datasets and evaluation
Efficient training and inference methods for networks
Explainable AI, fairness, accountability, privacy, transparency and ethics in vision
Image and video retrieval
Image and video synthesis
Image classification
Low-level and physics-based vision
Machine learning architectures and formulations
Medical, biological and cell microscopy
Motion and tracking
Optimization and learning methods
Pose estimation
Representation learning, deep learning
Scene analysis and understanding
Transfer, low-shot, semi- and un- supervised learning
Video analysis and understanding
Vision + language, vision + other modalities
Vision applications and systems, vision for robotics and autonomous vehicles
Jun 19
2021
Jun 25
2021
Draft paper submission deadline
Registration deadline
2027-06-19 United States Seattle
2027 IEEE/CVF Conference on Computer Vision and Pattern Recognition2026-06-06 United States Washington
2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition2022-06-19 United States New Orleans
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops2018-06-18 United States
2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops2017-07-21 United States Hawaii
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops
Submit Comment