Use when targeting Asian Conference on Computer Vision (ACCV) 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 regional flagship.
SkillScore96Maintained
Automatic
◆Research pack
Last verified 9/2/2026
What it changes
Passed 24 of 25 test cases with the skill, and 12 of 25 without it.
Without skill48%
With skill96%
Checks it passed that the model alone missed
The response evaluates [Fit] as High.
The response assigns a Low fit rating.
The response assigns a High fit rating.
and 11 more in the full report
12 fixed12 passed either way1 still failing0 broke
Pass-rate lift
+48 pp
Tokens
+73%
Agent turns
0%
Response time
-25%
Model gemini-3.6-flashMeasured 9/2/2026v124 of 25 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 12
Prompt
We designed a custom FPGA accelerator chip for low-latency visual-inertial odometry processing. The paper focuses 80% on FPGA hardware layout and 20% on computer vision. Assess fit for ACCV using bracketed key fields ([Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], [Re-route suggestion]).
What was checked, without and with the skill
Checked
Without skill
With skill
The response categorizes contribution type as design.
Missed
Passed
The response suggests re-routing to an embedded hardware systems venue.
Passed
Passed
case-16 · 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
Asian Conference on Computer Vision (ACCV)
Conference positioning
Asian Conference on Computer Vision (ACCV) is a top computer-science conference venue for computer vision methods and applications with strong Asia-Pacific community visibility. It rewards a CV paper seeking rigorous review in a focused international venue. 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 ACCV / Asian Conference on Computer Vision as the target venue.
A manuscript in computer vision methods and applications with strong Asia-Pacific community visibility 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: computer vision methods and applications with strong Asia-Pacific community visibility.
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 ACCV'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 ACCV as a computer vision regional flagship 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: computer vision methods and applications with strong Asia-Pacific community visibility.
Official anchor domain: accv-conf.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 regional flagship and the author can say why ACCV reviewers are the primary audience,
not merely a convenient deadline.
Closest roster neighbors to compare before final routing: european-conference-on-computer- vision (ECCV), winter-conference-on-applications-of-computer-vision (WACV), british- machine-vision-conference (BMVC), international-conference-on-3d-vision (3DV). Break ties
by contribution type, evidence shape, reviewer community, and the current official CFP from
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.