CVPR Skills
A 12-skill depth pack for CVPR submissions: venue fit at 16k-submission scale, OpenReview submission audits, the one-page rebuttal, mandatory reviewer duties for authors, the Compute Reporting Form, supplementary videos, benchmark-grade experiments, and CVF open-access / IEEE Xplore camera-ready work. Grounded in official CVPR 2026 pages checked on 2026-07-08.
Skills in this plugin
11- ▌ Cvpr Submission · brycewang-stanfordUse when auditing a CVPR submission before the OpenReview deadline, covering abstract registration and profile requirements, the 8-page limit including figures and tables, the Compute Reporting Form, anonymity and external-link bans, dual-submission attestations, reviewer-duty enrollment, and desk-reject triage.
- ▌ Cvpr Experiments · brycewang-stanfordUse when designing or auditing the experimental program of a CVPR paper, covering benchmark and baseline selection under matched-compute fairness, the ablation study reviewers treat as mandatory, qualitative and failure-case evidence, efficiency metrics tied to the Compute Reporting Form, and generalization tests beyond a single dataset.
- ▌ Cvpr Camera Ready · brycewang-stanfordUse when preparing the final version of an accepted CVPR paper, covering de-anonymization, the dataset-release-by-camera-ready obligation, CVF open access versus the IEEE Xplore version of record, oral/highlight/poster preparation at conference scale, and arXiv/preprint synchronization after acceptance.
- ▌ Cvpr Related Work · brycewang-stanfordUse when building the related-work section and positioning for a CVPR paper, covering literature that moves at arXiv speed, concurrent-work etiquette, the CVPR/ICCV/ECCV sibling triangle, double-blind self-citation, verifying that cited "CVPR papers" are actually CVPR papers, and defining deltas against the true nearest neighbors.
- ▌ Cvpr Supplementary · brycewang-stanfordUse when deciding what belongs in a CVPR supplementary upload versus the 8-page body, covering the one-week-later supplement deadline, video and qualitative-result norms in computer vision, anonymous code packaging, the no-external-links rule, and keeping decision-critical evidence out of material reviewers may skip.
- ▌ Cvpr Writing Style · brycewang-stanfordUse when writing or revising a CVPR paper's prose and figures, covering the 8-page budget where figures and tables count against the limit, the page-1 teaser figure convention, benchmark-table craft, claim calibration for a skeptical vision audience, and taking responsibility for tool-assisted text under CVPR's rules.
- ▌ Cvpr Review Process · brycewang-stanfordUse when reasoning about how CVPR review actually works at 16,000-submission scale, covering the OpenReview pipeline and timeline, reviewer-duty enforcement and desk rejects, the reviewer LLM ban, AC and discussion dynamics, oral/highlight/poster decision tiers, and calibrating expectations to a ~25% acceptance rate.
- ▌ Cvpr Author Response · brycewang-stanfordUse when planning or drafting the CVPR one-page rebuttal after reviews are released, covering the official rebuttal template, the ban on new contributions and external links, triaging multiple reviews at 16k-submission scale, choosing which numbers fit in one page, and writing for the AC who reads the discussion.
- ▌ Cvpr Reproducibility · brycewang-stanfordUse when hardening a CVPR paper's reproducibility story, covering the Compute Reporting Form's hardware and compute sections, training-recipe disclosure, benchmark protocol and split hygiene, seed and variance reporting for vision experiments, and closing the gaps reviewers probe at a benchmark-driven venue.
- ▌ Cvpr Topic Selection · brycewang-stanfordUse when deciding whether a project belongs at CVPR or should route elsewhere, covering what counts as a vision contribution at the field's flagship, fit tests for methods, datasets, and application papers, realistic odds at 25% acceptance and 16k submissions, and routing to ICCV, ECCV, WACV, 3DV, NeurIPS, or a journal.
- ▌ Cvpr Artifact Evaluation · brycewang-stanfordUse when packaging code, models, datasets, or demo videos for a CVPR paper at either review time or release time, covering anonymous supplement packaging under the external-link ban, the dataset-release-by-camera-ready rule, model-weight and license decisions, and making a vision artifact runnable by a skeptical stranger.