Skill UI

This guide provides comprehensive advice for positioning applied computer vision research for the IEEE/CVF WACV conference. It helps authors assess the manuscript's fit, re-frame the narrative from journal or arXiv styles, and ensure the contribution highlights practical systems, strong empirical evaluation, and application grounding required by top CV venues.

This skill audits OpenMed NER or de-identification models to detect performance disparities across sensitive demographic subgroups (e.g., sex, age, race). It calculates metrics like per-group recall and leakage disparity, helping users identify instances of 'under-protection' before deployment, ensuring equitable AI governance and compliance.

This agent is designed to serve as a comprehensive and helpful assistant, capable of guiding users through a wide variety of tasks and inquiries. It acts as a general knowledge resource and helper, providing information, suggestions, and support across multiple domains whenever the user needs assistance.