News
2nd Place at CVPR 2025 EgoVis Workshop Challenge secured by Constantin Patsch
The approach authored by Constantin Patsch, Marsil Zakour, Yuankai Wu, Eckehard Steinbach achieved the 2nd place at the Egocentric Vision Workshop (EgoVis)@ CVPR 2025 on the mistake detection benchmark of the HoloAssist dataset, featuring challenging egocentric assembly scenarios.
The model addresses the task of online mistake detection, where real-time video analysis allows human operators to correct errors as they occur. Upon detecting an error, a large language model (LLM) is further leveraged to generate explanatory feedback.