IEEE/CVF Conference on Computer Vision and Pattern Recognition
Paper Explorer
Search and explore CVPR 2026 accepted papers with abstracts, paper type labels, affiliation summaries, and a phylogenetic-style CV/ML topic taxonomy inspired by the CVML Paper Phylogeny project.
Conference statistics Official
Final decisions were released on February 20, 2026. The conference is scheduled for June 3-7, 2026 in Denver, Colorado.
16,092
SUBMISSIONS
Total submissions
4,090
ACCEPTED
Accepted papers
25.42%
ACCEPTANCE
Highly selective CV/ML venue
1,717
FINDINGS
Recommended for Findings workshop
Paper types
The source JSON is normalized into exactly three labels: oral, highlight, poster.
Type distribution
Acceptance composition
CV/ML phylogeny Auto-tagged
Inspired by CVML Paper Phylogeny: six semantic annotation agents read titles and abstracts, then assign each paper to a 4-depth tree, Phylum -> Class -> Order -> Genus. Multi-label papers contribute to multiple branches.
Interactive lineage tree
Selected lineage
Topic distributions
Click any bar to filter the paper list below.
Top phyla
Top classes
Top genera
Affiliations & regions
Institution strings are split from the JSON and regions are inferred with lightweight keyword rules. Counts are per-paper unique affiliations or countries.
Affiliation and region statistics were produced using automated parsing and repeated automated/manual review passes to reduce obvious alias and country-mapping errors. The source affiliation strings are noisy, so some institution merges or region assignments may still be incorrect; interpret these rankings as exploratory rather than official statistics.
Top affiliations
Affiliation regions
Country x phylum
Rows are top affiliation regions, columns are top CV/ML phyla. Click cells or labels to filter.
Each paper can carry up to three semantic tags, so a multi-tag paper may contribute to multiple phylum columns.
3D bar view
Drag to rotate, wheel to zoom, click a bar to filter.
Rows: top affiliation regionsColumns: top phylaHeight: paper count
Authors & abstracts
Authors per paper
Find papers
Searches title, authors, institutions, abstract, and taxonomy labels. Click a paper title to expand the abstract.