Conference on Computer Vision and Pattern Recognition: Difference between revisions
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{{Short description|Annual conference}} |
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{{notability|date=September 2011}} |
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{{Infobox Academic Conference |
{{Infobox Academic Conference |
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| history = |
| history = 1985–present |
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| discipline = [[Computer |
| discipline = [[Computer vision]] |
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| abbreviation = |
| abbreviation = Conf. Comput. Vis. Pattern Recognit. |
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| publisher = [[Institute of Electrical and Electronics Engineers|IEEE]] |
| publisher = [[Institute of Electrical and Electronics Engineers|IEEE]] |
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| country = International |
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| frequency = Annual |
| frequency = Annual |
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}} |
}} |
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The '''Conference on Computer Vision and Pattern Recognition''' is an annual conference on [[computer vision]] and [[pattern recognition]]. |
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The '''Conference on Computer Vision and Pattern Recognition''' is the [[IEEE]] annual conference on [[computer vision]] and [[pattern recognition]]. It is considered, together with [[ICCV]], the top level conference in computer vision.<ref>[http://www.comp.nus.edu.sg/~yiping/ConferenceRanking.htm SoC Conference Ranking]</ref><ref>[http://www.conferenceranks.com/index.html?searchall=IEEE+Conference+on+Computer+Vision+and+Pattern+Recognition Conference Rankings]</ref> It has an 'A' rating from the Australian Ranking of ICT Conferences.<ref>[http://core.edu.au/index.php/categories/conference%20rankings/1 Australian Ranking of ICT Conferences]</ref> It was first held in San Francisco in 1985. |
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==Affiliations== |
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The conference was first held in 1983 in Washington, DC, organized by [[Takeo Kanade]] and [[Dana H. Ballard]].{{cn|date=October 2024}} From 1985 to 2010 it was sponsored by the [[IEEE Computer Society]].{{cn|date=October 2024}} 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.<ref>{{Cite web |url=http://openaccess.thecvf.com/menu.py |title=Computer Vision Foundation open access}}</ref> |
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==Scope== |
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===CVPR Best Paper Award=== |
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The conference 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]].<ref>{{cite web |url=http://cvpr2020.thecvf.com/sites/default/files/CVPR2020_opening.pdf |title=Welcome to CVPR 2020! |date=2020 |website= cvpr2020.thecvf.com|access-date=2020-08-08}}</ref> |
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The conference generally has less than 30% acceptance rates for all papers and less than 5% for oral presentations.<ref>{{Cite web |url=https://github.com/lixin4ever/Conference-Acceptance-Rate |title=Conference-Acceptance-Rate |date=August 7, 2020 |via=GitHub}}</ref><ref>{{cite web |url=http://cvpr2019.thecvf.com/files/CVPR%202019%20-%20Welcome%20Slides%20Final.pdf |title=Welcome|website=cvpr2019.thecvf.com |access-date=2020-08-08}}</ref><ref>{{Cite web |url=https://syncedreview.com/2020/03/02/cvpr-2020-proceeding-as-planned-record-1470-papers-accepted/ |title=CVPR 2020 Proceeding as Planned; Record 1470 Papers Accepted|date=March 2, 2020|website=Synced}}</ref> 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.<ref>{{Cite web |url=https://tc.computer.org/tcpami/conference-history/ |title=Conference History |website=IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence |access-date=2020-07-24 |archive-date=2022-09-20 |archive-url=https://web.archive.org/web/20220920171741/https://tc.computer.org/tcpami/conference-history/ |url-status=dead}}</ref> The conference uses a multi-tier double-blind [[peer review]] process.{{cn|date=October 2024}} The program chairs, who cannot submit papers, select area chairs who manage the reviewers for their subset of submissions.<ref>{{Cite web |url=http://tab.computer.org/pamitc/archive/cvpr2012/program-details/papers/submission/area-chair-guidelines.html |title=Area Chair Guidelines - CVPR 2012 |website=tab.computer.org}}</ref> |
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These awards<ref>{{ cite web | title=CVPR Best Paper Award | url=http://www.computer.org/portal/web/tcpami/CVPR-Best-Papers | work=IEEE Computer Society website | publisher=[[IEEE]] | accessdate=15 February 2014 }}</ref> are picked by committees delegated by the program chairs of the conference. |
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==Location== |
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====CVPR Best Paper Award recipients==== |
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The conference is usually held in June in North America.<ref>{{Cite web|url=https://www.thecvf.com/?page_id=100|title=Conferences – The Computer Vision Foundation|website=www.thecvf.com}}</ref> |
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*Awarded at CVPR 2013: |
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**Best Paper: Fast, Accurate Detection of 100,000 Object Classes on a Single Machine, Thomas Dean, Jay Yagnik, Mark Ruzon, Mark Segal, Jonathon Shlens, and Sudheendra Vijayanarasimhan |
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**Best Paper Runner-Up: Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization, Marcus Brubaker, Andreas Geiger, and Raquel Urtasun |
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**Best Student Paper: Discriminative Non-blind Deblurring, Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, and Stefan Roth |
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*Awarded at CVPR 2012: |
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**Best Paper: A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization, Yuchao Dai, Hongdong Li, Mingyi He |
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**Best Student Paper: Max-Margin Early Event Detectors, Minh Hoai, Fernando De la Torre |
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*Awarded at CVPR 2011: |
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**Best Paper: Real-time Human Pose Recognition in Parts from Single Depth Images, Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Toby Sharp, Mark Finocchio, Richard Moore, Alex Kipman, [[Andrew Blake (scientist)|Andrew Blake]] |
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**Best Paper Honorable Mention: Discrete-Continuous Optimization for Large-scale Structure from Motion, David Crandall, Andrew Owens, Noah Snavely, Daniel Huttenlocher |
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**Best Student Paper: Recognition Using Visual Phrases, Ali Farhadi, Mohammad Amin Sadeghi |
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**Best Student Paper Honorable Mention: Separating Reflective and Fluorescent Components of An Image, Cherry Zhang, Imari Sato |
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*Awarded at CVPR 2010: |
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**Best Paper: Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data using the L1 Norm, Anders Eriksson and Anton van den Hengel |
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**Best Student Paper: Visual Event Recognition in Videos by Learning from Web Data, Lixin Duan, Dong Xu, Wai-Hung Tsang, and Jiebo Luo |
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**Best Student Paper Honorable Mention: Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities, Bangpeng Yao and Li Fei-Fei |
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*Awarded at CVPR 2009: |
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**Best Paper: Single Image Haze Removal Using Dark Channel Prior, Kaiming He, Jian Sun, Xiaoou Tang |
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**Best Paper Honorable Mention: Understanding and evaluating blind deconvolution algorithms, Anat Levin, Yair Weiss, Fredo Durand, Bill Freeman |
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**Best Student Paper: Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment, Ce Liu, Jenny Yuen, Antonio Torralba |
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**Best Student Paper Honorable Mention: A Tensor-Based Algorithm for High-Order Graph Matching, Olivier Duchenne, Francis Bach, In So Kweon, Jean Ponce |
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*Awarded at CVPR 2008 |
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**Best Paper: Beyond Sliding Windows: Object Localization by Efficient Subwindow Search, Christoph H. Lampert, Matthew B.Blaschko,Thomas Hofmann |
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**Best Paper: Global Stereo Reconstruction under Second Order Smoothness Priors, Oliver Woodford, Ian Reid, Philip Torr, Andrew Fitzgibbon |
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**Best Student Paper: Fast Image Search for Learned Metrics, Prateek Jain, Brian Kulis, Kristen Grauman |
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*Awarded at CVPR 2007 |
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**Best Paper: Dynamic 3D Scene Analysis from a Moving Vehicles, Bastian Leibe, Nico Cornelis, Kurt Cornelis, and Luc Van Gool |
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**Best Paper Honorable Mention: Spectral Matting, Anat Levin, Alex Rav-Acha, and Dani Lischinski |
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**Best Paper Honorable Mention: Human Detection via Classification on Riemannian Manifolds, Oncel Tuzel, Fatih Porikli, and Peter Meer |
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**Best Student Paper: Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans, Yuan Li, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, and Masato Kawade |
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*Awarded at CVPR 2006 |
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**Best Paper: Putting Objects in Perspective, Derek Hoiem, Alexei Efros, Martial Hebert |
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**Best Paper Honorable Mention:Incremental learning of object detectors using a visual shape alphabet, Andreas Opelt, Axel Pinz, [[Andrew Zisserman]] |
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*Awarded at CVPR 2005 |
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**Best Paper: Real-Time Non-Rigid Surface Detection, Julien Pilet, Vincent Lepetit, Pascal Fua |
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**Best Paper Honorable Mention: A Non-Local Algorithm for Image Denoising, Antoni Buades, Bartomeu Coll, Jean-Michel Morel |
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**Bi-Layer Segmentation of Binocular Stereo Video, Vladimir Kolmogorov, Antonio Criminisi, Andrew Blake, Geoffrey Cross, Carsten Rother |
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**Video Epitomes, Vincent Cheung, Brendan J. Frey, Nebojsa Jojic |
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*Awarded at CVPR 2003 |
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**Best Paper: Object Class Recognition by Unsupervised Scale-Invariant Learning, Rob Fergus, Pietro Perona, and [[Andrew Zisserman]] |
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**Best Paper Honorable Mention: Constraint on Five Points in Two Images, Tomas Werner |
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**Best Student Paper: Vector-Valued Image Regularization with PDE's: A Common Framework for Different Applications, David Tschumperle and Rashid Deriche |
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*Awarded at CVPR 2001 |
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**Best Paper: Morphable 3D models from video, Matthew Brand |
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**Best Paper Runner Up: Robust on-line appearance models for visual tracking, A. Jepson, D. Fleet, T.F. El-Maraghi |
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**Best Student Paper: Tracking and modeling non-rigid objects with rank constraints, L. Torresani, D. Yang, E. Alexander, C. Bregler |
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**Outstanding Student Paper: Dense image matching with global and local statistical criteria: a variational approach, G. Hermosillo, O. Faugeras |
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**Outstanding Student Paper: JPDAF based HMM for real-time contour tracking, Y. Chen, Y. Rui, T. Huang |
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**Outstanding Student Paper: Model-based curve evolution techniques for image segmentation, A. Tsai, A. Yezzi, W. Wells, C. Tempany, D. Tucker, A. Fan, E. Grimson, A. Willsky |
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==Awards== |
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===Best Paper Award=== |
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These awards are picked by committees delegated by the program chairs of the conference. |
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<ref>{{cite web |title=CVPR Best Paper Award |url=https://tc.computer.org/tcpami/cvpr-best-paper-award/ |work=IEEE Computer Society website |publisher=[[IEEE]] |accessdate=3 April 2019}}</ref> |
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===Longuet-Higgins Prize=== |
===Longuet-Higgins Prize=== |
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The |
The [[Christopher Longuet-Higgins|Longuet-Higgins]] Prize recognizes papers from ten years ago that have made a significant impact on computer vision research. |
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===PAMI Young Researcher Award=== |
===PAMI Young Researcher Award=== |
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The Pattern Analysis and Machine Intelligence |
The Pattern Analysis and Machine Intelligence Young Researcher Award is an award given by the Technical Committee on Pattern Analysis and Machine Intelligence of the IEEE Computer Society to a researcher within 7 years of completing their [[Ph.D.]] for outstanding early career research contributions.<ref>{{Cite web |url=https://www.thecvf.com/?page_id=413#YRA |title=Computer Vision Awards – The Computer Vision Foundation |website=www.thecvf.com}}</ref><ref name=pamiyra>{{cite web |title=PAMI Young Research Award |work=IEEE Computer Society website | publisher=[[IEEE]] |url=http://www.computer.org/portal/web/tcpami/PAMI-Young-Researcher-Award | accessdate=22 January 2014}}</ref> 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 conference, and the journal continues to sponsor the award.<ref name=ivc2012>{{cite journal |title=Inaugural image and vision computing outstanding young researcher award winner announced |journal=Image and Vision Computing |publisher=[[Elsevier]] |volume=30 |issue=9 |page=603 |year=2012 |issn=0262-8856 |doi=10.1016/j.imavis.2012.07.008 }}</ref><ref>{{cite web |title=Awards |url=http://www.elsevier.com/physical-sciences/computer-science/awards#pami |accessdate=22 January 2014}}</ref> |
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=== |
===PAMI Thomas S. Huang Memorial Prize=== |
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The [[Thomas S. Huang|Thomas Huang]] Memorial Prize was established at the 2020 conference and is awarded annually starting from 2021 to honor researchers who are recognized as examples in research, teaching/mentoring, and service to the computer vision community. <ref>{{Cite web |url=https://www.thecvf.com/?page_id=413#Huang |title=Computer Vision Awards: PAMI Thomas S. Huang Memorial Prize – The Computer Vision Foundation |website=www.thecvf.com}}</ref> |
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*2013: Anat Levin and Kristen Grauman<ref name=pamiyra/> |
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==See also== |
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*2012 (as the IVC Outstanding Young Researcher Award): Deva Ramanan<ref name=ivc2012/> |
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*[[International Conference on Computer Vision]] |
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*[[European Conference on Computer Vision]] |
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==References== |
==References== |
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{{Reflist}} |
{{Reflist}} |
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==External links== |
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* |
*[http://cvpr2020.thecvf.com/ 2020 conference website] |
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* |
*[http://cvpr2019.thecvf.com/ 2019 conference website] |
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* [http://www.cvpr2011.org 2011 conference website] |
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* [http://www.cvpr2012.org 2012 conference website] |
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* [http://www.pamitc.org/cvpr13/ 2013 conference website] |
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* [http://www.pamitc.org/cvpr14/ 2014 conference website] |
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{{IEEE conferences}} |
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[[Category:Institute of Electrical and Electronics Engineers]] |
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{{Authority control}} |
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[[Category:Computer vision research infrastructure]] |
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[[Category:IEEE conferences]] |
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[[Category:Signal processing conferences]] |
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[[Category:Computer science conferences]] |
[[Category:Computer science conferences]] |
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[[Category: |
[[Category:Annual events]] |
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[[Category:Science and engineering awards]] |
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[[Category:IEEE society and council awards]] |
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{{compu-conference-stub}} |
Latest revision as of 08:45, 21 October 2024
Conference on Computer Vision and Pattern Recognition | |
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Abbreviation | Conf. Comput. Vis. Pattern Recognit. |
Discipline | Computer vision |
Publication details | |
Publisher | IEEE |
History | 1985–present |
Frequency | Annual |
The Conference on Computer Vision and Pattern Recognition is an annual conference on computer vision and pattern recognition.
Affiliations
[edit]The conference was first held in 1983 in Washington, DC, organized by Takeo Kanade and Dana H. Ballard.[citation needed] From 1985 to 2010 it was sponsored by the IEEE Computer Society.[citation needed] 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.[1]
Scope
[edit]The conference 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.[2]
The conference generally has less than 30% acceptance rates for all papers and less than 5% for oral presentations.[3][4][5] 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.[6] The conference uses a multi-tier double-blind peer review process.[citation needed] The program chairs, who cannot submit papers, select area chairs who manage the reviewers for their subset of submissions.[7]
Location
[edit]The conference is usually held in June in North America.[8]
Awards
[edit]Best Paper Award
[edit]These awards are picked by committees delegated by the program chairs of the conference. [9]
Longuet-Higgins Prize
[edit]The Longuet-Higgins Prize recognizes papers from ten years ago that have made a significant impact on computer vision research.
PAMI Young Researcher Award
[edit]The Pattern Analysis and Machine Intelligence Young Researcher Award is an award given by the Technical Committee on Pattern Analysis and Machine Intelligence of the IEEE Computer Society to a researcher within 7 years of completing their Ph.D. for outstanding early career research contributions.[10][11] 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 conference, and the journal continues to sponsor the award.[12][13]
PAMI Thomas S. Huang Memorial Prize
[edit]The Thomas Huang Memorial Prize was established at the 2020 conference and is awarded annually starting from 2021 to honor researchers who are recognized as examples in research, teaching/mentoring, and service to the computer vision community. [14]
See also
[edit]References
[edit]- ^ "Computer Vision Foundation open access".
- ^ "Welcome to CVPR 2020!" (PDF). cvpr2020.thecvf.com. 2020. Retrieved 2020-08-08.
- ^ "Conference-Acceptance-Rate". August 7, 2020 – via GitHub.
- ^ "Welcome" (PDF). cvpr2019.thecvf.com. Retrieved 2020-08-08.
- ^ "CVPR 2020 Proceeding as Planned; Record 1470 Papers Accepted". Synced. March 2, 2020.
- ^ "Conference History". IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence. Archived from the original on 2022-09-20. Retrieved 2020-07-24.
- ^ "Area Chair Guidelines - CVPR 2012". tab.computer.org.
- ^ "Conferences – The Computer Vision Foundation". www.thecvf.com.
- ^ "CVPR Best Paper Award". IEEE Computer Society website. IEEE. Retrieved 3 April 2019.
- ^ "Computer Vision Awards – The Computer Vision Foundation". www.thecvf.com.
- ^ "PAMI Young Research Award". IEEE Computer Society website. IEEE. Retrieved 22 January 2014.
- ^ "Inaugural image and vision computing outstanding young researcher award winner announced". Image and Vision Computing. 30 (9). Elsevier: 603. 2012. doi:10.1016/j.imavis.2012.07.008. ISSN 0262-8856.
- ^ "Awards". Retrieved 22 January 2014.
- ^ "Computer Vision Awards: PAMI Thomas S. Huang Memorial Prize – The Computer Vision Foundation". www.thecvf.com.