--- name: cvpr-topic-selection description: Use 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 Topic Selection CVPR is the largest venue in computer vision and one of the largest in all of science — 16,092 reviewed submissions and 4,090 acceptances in 2026. Size cuts both ways: almost any vision-adjacent topic has a reviewer pool there, and almost any weakness has a reviewer who has seen it a hundred times. This skill decides *whether* to feed the machine before other skills decide *how*. ## The core question Strip the engineering and ask: **is the contribution a claim about visual data or visual computation?** CVPR's 2026 program clustered exactly there — the largest areas were image/video synthesis and generation; vision+language and reasoning; multimodal learning; 3D from multi-view and sensors; and medical/biological vision (official program announcement). Contributions where vision is merely the demo domain — a generic optimizer tested on ImageNet, an ML theory result with a CIFAR table — historically route better to NeurIPS/ICML, where the reviewer pool evaluates the actual claim. ## Fit tests by contribution type | You have… | CVPR-shaped if… | Warning sign | |---|---|---| | A method/architecture | It solves a visual mechanism (geometry, temporal, pixels-to-structure), with benchmark wins + ablations | Gain vanishes under matched backbones | | A dataset/benchmark | It unlocks a task the field cannot currently study, with baselines and analysis | "Bigger than the last one" is the whole pitch (and release is due at camera-ready) | | A systems/efficiency result | Accuracy-per-FLOP frontier moves; CRF-style reporting is your friend | Speedup only on your hardware story | | A vision-language model result | The *visual* grounding is the contribution | It's an LLM paper wearing an image encoder | | An application (medical, agriculture, driving) | A general vision insight travels beyond the application | Domain novelty only → domain venue or WACV | | Theory about vision | Predicts something checkable in experiments | Pure theory → NeurIPS/ICML/SIGGRAPH-adjacent | ## The honesty checklist before committing a semester 1. **Leaderboard reality**: are you within striking distance of the current SOTA on the benchmarks reviewers will demand, with the compute you actually have? 2. **Delta nameable**: can you state, in one sentence, the mechanism that differs from the three nearest papers? (If not yet, see `cvpr-related-work` first.) 3. **Ablatable**: does the idea decompose into testable design decisions, or is it one entangled trick? 4. **Visual evidence exists**: will qualitative results/figures show the improvement, or is it only a fourth-decimal metric story? 5. **Team can pay the process tax**: November triple deadline, coauthor reviewer duties with desk-reject enforcement, a one-page January rebuttal — the process itself consumes a person-month. ## Routing map ```text Contribution core → First-choice venue ────────────────────────────────────────────────────────── Flagship vision method/benchmark → CVPR (Nov) — or ICCV/ECCV, same bar, different months: pick by readiness date Solid but not flagship-flashy; → WACV (applications-friendly CVF venue) applications emphasis 3D/geometry-centric community → 3DV (also CVF-affiliated), or CVPR 3D areas Learning theory / generic ML → NeurIPS / ICML / ICLR Graphics-adjacent synthesis → SIGGRAPH (different review culture entirely) Mature, extended, archival → TPAMI / IJCV (journal timelines, no rebuttal sprint, room beyond 8 pages) Early or niche idea → CVPR workshops (separate CFPs, lower stakes, same audience walking past your poster) ``` CVPR vs. ICCV/ECCV is rarely a quality question — the bar is comparable and reviewer pools overlap — it is a *calendar* question: which deadline does your evidence mature for? Submitting a month early to the "bigger name" with a missing ablation is how teams donate a cycle. ## Three worked verdicts (fictional projects) - *"We fine-tuned an open VLM on our agriculture dataset and accuracy rose 6 points."* → **Not CVPR-shaped yet.** The contribution is domain data + recipe. Routes: WACV (applications) or a domain venue — unless analysis reveals a *general* insight about when VLM grounding fails, which could anchor a CVPR paper with broader experiments. - *"A test-time geometry constraint makes any monocular depth model temporally consistent, +X on three benchmarks, 2ms overhead."* → **CVPR-shaped.** Visual mechanism, plug-in generality, ablatable, cheap to evaluate broadly; the risk to audit is baseline freshness. - *"A new loss improves classification on CIFAR/ImageNet, with a convergence theorem."* → **Split decision.** As stated, it is an ML-methods paper (NeurIPS/ICML reviewers evaluate the theorem properly). It becomes CVPR-shaped only if the loss exploits something visual (spatial structure, augmentation geometry) and the evidence spans vision tasks beyond classification. ## Scale realism 25.42% acceptance means the modal outcome for a competent paper is rejection, and tier outcomes concentrate attention further (in 2026, ~3–4% of the program presented orally). Choose CVPR when the upside justifies that variance: maximal audience (about 12,200 registrants in 2026), industrial visibility, and the strongest possible signal when a benchmark claim survives this particular gauntlet. ## Main conference vs. CVPR workshops The workshop program (separate CFPs, typically spring deadlines for a June conference) is a legitimate destination, not a consolation prize: new-task papers build their first community there, datasets get early adopters, and the audience walking past a workshop poster is the same 12,000-person crowd. Route to a workshop when the idea is promising but the main-conference evidence bar (leaderboard proximity, full ablations) is a cycle away — and note that workshop publication may interact with later dual-submission rules, so check both CFPs before using one as a stepping stone. ## Reverify each cycle - Current CFP topic list — areas are re-cut per edition (待核实 for 2027 until its CFP posts). - Sibling-venue deadline calendar for the routing decision. - Workshop CFPs, which appear months after the main-conference CFP. - Acceptance-rate and program-shape statistics for the newest completed edition; the 16k/25% figures above are the 2026 snapshot, not a constant. ## Output format ```text [Verdict] CVPR / sibling (which) / journal / workshop / not yet [Core claim] [Fit evidence] leaderboard distance · nameable delta · ablatable · visual evidence [Process tax] team can cover duties + rebuttal week: yes/no [Route if not CVPR] [Ripeness gap] ```