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Conference on Computer Vision and Pattern Recognition

CVPR conference series

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General referenceInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionAug 2, 2026
Entity authorityQ2992422
Source-derived summary

The Conference on Computer Vision and Pattern Recognition is an annual conference on computer vision and pattern recognition.

Affiliations

The conference was first held in 1983 in Washington, DC, organized by Takeo Kanade and Dana H. Ballard. 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.

Scope

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.

The conference generally has less than 30% acceptance rates for all papers and less than 5% for oral presentations. 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. The conference uses a multi-tier double-blind peer review process.

Editorial summary

“Conference on Computer Vision and Pattern Recognition” enters the record as cVPR conference series. Crown Archives preserves that source wording while asking what Conference, Computer and Vision can confirm, complicate or overturn.

Editorial reviewA dependable orientation record for establishing vocabulary, names and a first evidence trail. The current lead gives the account dated anchors—1983, 1985, 2010, 2011—that can be checked directly. The linked authority record independently contributes the date 1983. Its strongest next move is a source search built around Conference, Computer and Vision.
Editorial analysis

Why this record matters

“Conference on Computer Vision and Pattern Recognition” is worth following because a concise public description often conceals a longer documentary argument. Here, Conference, Computer and Vision provides the most credible route into that argument.

Evidence profile

Named sources, stable identifiers and responsible institutions provide the strongest route from overview to verifiable evidence. The source revision retrieved here is dated Aug 2, 2026. The linked authority identifier is Q2992422. VIAF identifies the subject as 131389625. 2 of 3 selected statements include explicit references; 1 carry qualifiers and 0 use preferred rank. The first chronological checks are 1983, 1985, 2010 and 2011.

Critical limits

Overview language is designed for orientation and should not be treated as a substitute for the evidence cited beneath it. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

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  2. Expand the search: follow Conference on Computer Vision and Pattern Recognition primary sources, Conference on Computer Vision and Pattern Recognition archive and Conference research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

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Source & attribution

This entry incorporates text from Conference on Computer Vision and Pattern Recognition” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.