Ego2Web is a benchmark for evaluating web agents grounded in egocentric video understanding. It connects real-world human activities with web-based tasks, enabling research at the intersection of embodied perception and web interaction.
@article{yu2026ego2web, title={Ego2Web: Benchmarking Web Agents with Egocentric Video Grounding}, author={Yu, Shoubin and Shu, Lei and Yang, Antoine and Fu, Yao and Sunkara, Srinivas and Wang, Maria and Chen, Jindong and Bansal, Mohit and Gong, Boqing}, journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2026} }