Conference on Computer Vision and Pattern Recognition | |
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Abbreviation | CVPR |
Discipline | Computer vision |
Publication details | |
Publisher | IEEE |
History | 1985–present |
Frequency | Annual |
The Conference on Computer Vision and Pattern Recognition (CVPR) is an annual conference on computer vision and pattern recognition, which is regarded as one of the most important conferences in its field. [1] [2] [3] According to Google Scholar Metrics (2022), it is the highest impact computing venue. [4]
CVPR was first held in Washington, DC, in 1983 by Takeo Kanade and Dana Ballard (previously the conference was named Pattern Recognition and Image Processing). [5] From 1985 to 2010 it was sponsored by the IEEE Computer Society. In 2011 it was also co-sponsored by University of Colorado Colorado Springs. Since 2012 it has been co-sponsored by the IEEE Computer Society and the Computer Vision Foundation, which provides open access to the conference papers. [6]
CVPR considers a wide range of topics related to computer vision and pattern recognition—basically any topic that is extracting structures or answers from images or video or applying mathematical methods to data to extract or recognize patterns. Common topics include object recognition, image segmentation, motion estimation, 3D reconstruction, and deep learning. [7]
The conference is highly selective with generally <30% acceptance rates for all papers and <5% for oral presentations. [8] [9] [10] It is managed by a rotating group of volunteers who are chosen in a public election at the Pattern Analysis and Machine Intelligence-Technical Community (PAMI-TC) meeting four years before the meeting. [11] CVPR uses a multi-tier double-blind peer review process. The program chairs (who cannot submit papers), select area chairs who manage the reviewers for their subset of submissions. [12]
The conference is usually held in June in North America. [13]
These awards [16] are picked by committees delegated by the program chairs of the conference.
The Longuet-Higgins Prize recognizes CVPR papers from ten years ago that have made a significant impact on computer vision research.
The Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award [17] is an award given by the Technical Committee on Pattern Analysis and Machine Intelligence (TCPAMI) of the IEEE Computer Society to a researcher within 7 years of completing their Ph.D. for outstanding early career research contributions. [18] Candidates are nominated by the computer vision community, with winners selected by a committee of senior researchers in the field. This award was originally instituted in 2012 by the journal Image and Vision Computing , also presented at the CVPR, and the IVC continues to sponsor the award. [19] [20]
Year | Winner(s) |
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2021 | Georgia Gkioxari |
2021 | Phillip Isola |
2020 | Jon Barron |
2020 | Deqing Sun |
2019 | Karen Simonyan |
2018 | Andreas Geiger |
2018 | Kaiming He |
2017 | Ross Girshick |
2017 | Julien Mairal |
2016 | Ce Liu |
2016 | Abhinav Gupta |
2015 | John Wright |
2014 | Derek Hoiem |
2014 | Jamie Shotton |
2013 | Anat Levin |
2013 | Kristen Grauman |
2012 | Deva Ramanan |
The Thomas Huang Memorial Prize [21] was established at CVPR 2020 and is awarded annually starting from CVPR 2021 to honor researchers who are recognized as examples in research, teaching/mentoring, and service to the computer vision community.
Year | Winner(s) |
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2021 | Antonio Torralba |
Year | Acceptance Rate |
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2023 | 2360/9155 = 25.8% |
2022 | 2067/8162 = 25.3% |
2021 | 1661/7039 = 23.6% |
2020 | 1467/5865 = 25.0% |
Automatic image annotation is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image. This application of computer vision techniques is used in image retrieval systems to organize and locate images of interest from a database.
David A. Forsyth is a South-African-born American computer scientist and the Fulton Watson Copp Chair in Computer Science the University of Illinois at Urbana–Champaign.
Takeo Kanade is a Japanese computer scientist and one of the world's foremost researchers in computer vision. He is U.A. and Helen Whitaker Professor at Carnegie Mellon School of Computer Science. He has approximately 300 peer-reviewed academic publications and holds around 20 patents.
The International Conference on Computer Vision (ICCV) is a research conference sponsored by the Institute of Electrical and Electronics Engineers (IEEE) held every other year. It is considered to be one of the top conferences in computer vision, alongside CVPR and ECCV, and it is held on years in which ECCV is not.
Jitendra Malik is an Indian-American academic who is the Arthur J. Chick Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is known for his research in computer vision.
The European Conference on Computer Vision (ECCV) is a biennial research conference with the proceedings published by Springer Science+Business Media. Similar to ICCV in scope and quality, it is held those years which ICCV is not. It is considered to be one of the top conferences in computer vision, alongside CVPR and ICCV, with an 'A' rating from the Australian Ranking of ICT Conferences and an 'A1' rating from the Brazilian ministry of education. The acceptance rate for ECCV 2010 was 24.4% for posters and 3.3% for oral presentations.
Matti Kalevi Pietikäinen is a computer scientist. He is currently Professor (emer.) in the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. His research interests are in texture-based computer vision, face analysis, affective computing, biometrics, and vision-based perceptual interfaces. He was Director of the Center for Machine Vision Research, and Scientific Director of Infotech Oulu.
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Jason Joseph Corso is Co-Founder / CEO of the computer vision startup Voxel51 and a Professor of Robotics, Electrical Engineering and Computer Science at the University of Michigan.
Gregory D. Hager is the Mandell Bellmore Professor of Computer Science and founding director of the Johns Hopkins Malone Center for Engineering in Healthcare at Johns Hopkins University.
Jiebo Luo is a Chinese-American computer scientist, the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the University of Rochester. He is interested in artificial intelligence, data science and computer vision.
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Song-Chun Zhu is a Chinese computer scientist and applied mathematician known for his work in computer vision, cognitive artificial intelligence and robotics. Zhu currently works at Peking University and was previously a professor in the Departments of Statistics and Computer Science at the University of California, Los Angeles. Zhu also previously served as Director of the UCLA Center for Vision, Cognition, Learning and Autonomy (VCLA).
Jiaya Jia is a tenured professor of the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK). He is an IEEE Fellow, the associate editor-in-chief of one of IEEE’s flagship and premier journals- Transactions on Pattern Analysis and Machine Intelligence (TPAMI), as well as on the editorial board of International Journal of Computer Vision (IJCV).
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