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
Tutorials Chairs
Tat-Jun Chin
University of Adelaide
Xiaodan Liang
Sun Yat-sen University
Doctoral Consortium Chairs
Jean Francois Lalonde
Laval University
Tatiana Tommasi
Politecnico di Torino
Social Activities Chair
Rana Hanocka
Tel Aviv University
Demo Chairs
Matt O'Toole
Carnegie Mellon University
Technical Chair
Yi Wu
Nanjing University of Posts and Telecommunications
Event Producer
Nicole Finn
CTC 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:
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
06月20日
2021
06月25日
2021
摘要截稿日期
初稿截稿日期
注册截止日期
2020年06月13日 美国 Seattle
2020 IEEE Conference on Computer Vision and Pattern Recognition2019年06月15日 美国 Long Beach,USA
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition2018年06月18日 美国 Salt Lake City,USA
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition2017年07月21日 美国 Hawaii
2017 IEEE计算机视觉与模式识别会议2016年06月26日 美国 Las Vegas, USA
2016 IEEE计算机视觉与模式识别会议2015年06月08日 美国
2015年IEEE计算机视觉与模式识别会议2013年06月23日 美国
2013 IEEE计算机视觉与模式识别大会
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