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

Tieniu Tan
Chinese Academy of Sciences

Lihi Zelnik

Program Chairs

David Forsyth
University of Illinois Urbana-Champaign

Georgia Gkioxari

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

Workshop Chairs

Bohyung Han
Seoul National University

Caroline Pantofaru

Torsten Sattler
Chalmers University

Call for paper

Important date

Draft paper submission deadline

Submission Topics

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

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Important Date
  • Conference Date

    Jun 19



    Jun 25


  • Nov 16 2020

    Draft paper submission deadline

Sponsored By
Computer Vision Foundation - CVF IEEE Computer Society
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