Skill UI

A comprehensive guide modeling the ICCV review pipeline, covering the entire cycle from registration to final decision (March-June). It details author responsibilities, the enforcement of reviewer accountability, the prohibition of LLM use in reviews, and strategies for authors to interpret and leverage diverse review feedback, including utilizing the 'Findings' workshop.

This comprehensive guide serves as a pre-flight audit checklist for major academic conference submissions, specifically targeting ICCV. It covers critical process areas, including the single-day upload requirement, strict page budget adherence, maintaining double-blind anonymity, vetting OpenReview fields, and identifying potential identity or formatting leaks. Use this to prevent desk rejection before the deadline.

A comprehensive guide for authors submitting to top-tier computer vision conferences (like ICCV). It details the new single-deadline workflow, emphasizing the parallel production of code and videos. Learn how to structure supplementary materials for maximum reviewer impact, including detailed ablation studies, failure mode galleries, and maintaining strict double-blind anonymity in the archive.

A comprehensive guide for researchers deciding the optimal venue for a computer vision project. It analyzes the biennial nature of top conferences like ICCV, evaluating project readiness, timing maturity, and comparing the unique requirements of ICCV, CVPR, and ECCV to maximize acceptance chances.

A comprehensive guide for researchers managing the complex, year-long cycle of major computer vision conferences (like ICCV). Covers critical stages from the initial 'autumn fork' decision and submission deadlines to rebuttal, final decisions, and post-conference strategies, including international travel logistics and fallback plans.

A comprehensive guide for authors preparing submissions for top-tier computer vision conferences like ICCV. It instructs writers on structuring papers for a generalist reviewer pool, maintaining the 'inclusive 8-page economy,' adopting a mechanism-first exposition style, and formulating claims that withstand rigorous review and rebuttal cycles. Essential for elevating technical prose to a publishable standard.

A comprehensive guide for positioning and refining computer vision manuscripts for the IEEE/CVF International Conference on Computer Vision (ICCV). This skill helps authors assess conference fit, structure evidence, perform benchmarking, and adopt the necessary narrative for a flagship CV submission, covering topics from foundation models to video recognition.

This guide helps researchers determine the optimal venue for their Computer Vision paper, specifically addressing the unique identity of WACV (Applications-first) versus major conferences like CVPR, ICCV, and ECCV. It guides authors on whether their contribution is driven by real-world applications/constraints or by advancing core algorithms, and how to choose between the Applications or Algorithms track within WACV.