The Conference on Computer Vision and Pattern Recognition (CVPR) is an annual academic conference on computer vision and pattern recognition. It is one of the most prestigious venues in the field, known for its rigorous peer review and rigorous acceptance standards. The conference covers topics ranging from object recognition and image segmentation to deep learning and 3D reconstruction.
The inaugural CVPR was held in 1983 in Washington, D.C., organized by Takeo Kanade and Dana H. Ballard. From 1985 to 2010, the IEEE Computer Society sponsored the event. In 2011, the University of Colorado Colorado Springs became a co-sponsor. Since 2012, CVPR has been co-sponsored by the IEEE Computer Society and the Computer Vision Foundation, which ensures open access to all conference papers. The conference typically takes place in June in various North American cities.
Affiliation and Governance
CVPR is jointly managed by the IEEE Computer Society and the Computer Vision Foundation. The conference leadership includes a rotating group of volunteers who are selected through a public election at the Pattern Analysis and Machine Intelligence - Technical Community (PAMI-TC) meeting four years in advance. The program chairs, who are barred from submitting their own papers, appoint a team of area chairs, each responsible for overseeing the review process for a set of submissions. Review is performed using a multi-tier double-blind process, meaning authors and reviewers do not know each other's identities.
Scope and Paper Selection
The conference accepts papers on a wide range of topics related to extracting structures or answers from images or video, as well as applying mathematical methods to data for pattern recognition. Common topics include object recognition, image segmentation, motion estimation, 3D reconstruction, and deep learning. CVPR has a highly competitive acceptance rate, historically below 30% for all papers and below 5% for oral presentations. Oral presentations are a subset of papers given special prominence at the conference. The selection process is carried out by the program chairs and area chairs, who manage reviewers for each paper.
Awards
CVPR has established several awards to recognize outstanding research. The Best Paper Award is selected by committees appointed by the program chairs. The Longuet-Higgins Prize honors papers from ten years prior that have had a significant impact on the field. The PAMI Young Researcher Award, instituted in 2012 by the journal Image and Vision Computing, recognizes early career researchers within seven years of completing their Ph.D. for outstanding contributions. The journal continues to sponsor this award, presented at CVPR. The PAMI Thomas S. Huang Memorial Prize, established at the 2020 conference, is given annually starting in 2021 to honor researchers who exemplify excellence in research, teaching or mentoring, and service to the community.
Impact and Significance
CVPR is widely regarded as a top-tier conference in computer vision, with a highly competitive selection process. The open-access policy, since 2012, has increased the visibility of accepted papers, often influencing subsequent research in machine learning and artificial intelligence. Presenting at CVPR is considered a benchmark for cutting-edge research in the field, with some papers becoming foundational references for future work. The conference also serves as a networking hub, bringing together researchers, industry practitioners, and students from around the world.
Related Conferences
The International Conference on Computer Vision (ICCV) and the European Conference on Computer Vision (ECCV) are two other leading conferences in the field. Together with CVPR, they form a triad of the most significant annual gatherings for computer vision research. Each has its own history and emphasis, but all three are recognized for their high standards of peer review and contributions to the development of artificial intelligence.
External Links
- 2020 conference website
- 2019 conference website