CompAgent: An Agentic Framework for Visual Compliance Verification
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Developed an agentic framework for visual compliance verification using multi-modal LLMs, enabling automated inspection of visual content against compliance specifications.
@inproceedings{ghosh2026compagent,
title={CompAgent: An Agentic Framework for Visual Compliance Verification},
author={Ghosh, Rahul and Chaudhury, Baishali and Das, Hari Prasanna and Ashok, Meghana and Razkenari, Ryan and Chen, Long and Hong, Sungmin and Liu, Chun-Hao},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={11201--11210},
year={2026}
}