Use when targeting British Machine Vision Conference (BMVC) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for computer vision.
SkillScore82Maintained
Automatic
◆Research pack
Last verified 9/2/2026
What it changes
Passed 18 of 22 test cases with the skill, and 15 of 22 without it.
Without skill68%
With skill82%
Checks it passed that the model alone missed
Suggests ISBI as an alternative medical imaging venue.
Includes bmvc2026.bmva.org as the official anchor domain.
Structures each bracketed header on a concise single line without sub-bullet sections.
and 2 more in the full report
5 fixed13 passed either way2 still failing2 broke
Pass-rate lift
+14 pp
Tokens
+73%
Agent turns
0%
Response time
-25%
Model gemini-3.6-flashMeasured 9/2/2026v118 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 5
Prompt
Our paper presents a deep learning method for 3D brain MRI tumor segmentation evaluated exclusively on private hospital clinical scans without general computer vision baselines. We want to target BMVC. Assess the submission fit using [Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], and [Re-route suggestion].
What was checked, without and with the skill
Checked
Without skill
With skill
Suggests ISBI as an alternative medical imaging venue.
Missed
Passed
Identifies the absence of standard computer vision benchmark datasets as a major weakness for a general vision conference.
Passed
Passed
case-08 · gemini-3.6-flash · 9/2/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md109 linessingle file
British Machine Vision Conference (BMVC)
Conference positioning
British Machine Vision Conference (BMVC) is a top computer-science conference venue for vision, pattern recognition, learning, and visual computing with BMVA community focus. It rewards a technically sound CV paper where the contribution is clear to specialist reviewers. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.
Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.
When to trigger
The author names BMVC / British Machine Vision Conference as the target venue.
A manuscript in vision needs a conference-fit read before being formatted or submitted.
The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.
Scope & topic fit
Core fit: vision, pattern recognition, learning, and visual computing with BMVA community focus.
Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
The paper should explain why the result matters to BMVC's reviewers, not just why it is interesting to the authors' lab or product context.
Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.
Venue-specific calibration
Reviewer lens: Treat BMVC as a computer vision venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
Contribution hook to foreground: the venue-specific contribution bar.
Scope vocabulary to use naturally in the abstract and introduction: vision, pattern recognition, learning, and visual computing with BMVA community focus.
Official anchor domain: bmvc2026.bmva.org. Quote annual rules only after opening that source and the current-year CFP/author kit.
Close-neighbor routing guardrail
Use this profile only when the manuscript's central contribution is genuinely in computer
vision and the author can say why BMVC reviewers are the primary audience, not merely a
convenient deadline.
Closest roster neighbors to compare before final routing: winter-conference-on-applications- of-computer-vision (WACV), asian-conference-on-computer-vision (ACCV), international- conference-on-3d-vision (3DV), ieee-international-symposium-on-biomedical-imaging (ISBI).
Break ties by contribution type, evidence shape, reviewer community, and the current
Use when targeting IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for computer vision flagship.
Use when targeting 《经济管理》(Business Management Journal — 中国社会科学院工业经济研究所主办的工商管理学术月刊, 不收费) or deciding whether a Chinese management manuscript fits this venue. Encodes the journal's fit, framing, fee-free policy, house style, official-submission re-check, and desk-reject heuristics.