| # GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video (ECCV 2026) | |
| GuideMe is a benchmark for training and evaluating multimodal large language models as real-time procedural coaches. It covers next-step instruction, completion feedback, error detection, and corrective guidance across cooking, daily-life tasks, object manipulation, and fitness. | |
| - Project: https://fawnliu.github.io/project/guideme/ | |
| - Code: https://github.com/fawnliu/GuideMe | |
| - Paper: https://arxiv.org/abs/2607.02991 | |
| ```bibtex | |
| @inproceedings{liu2026guideme, | |
| title={GuideMe: Multi-domain Task Guidance and Intervention in Streaming Video}, | |
| author={Liu, Fang and Chen, Jinpeng and Xu, Ke and Liu, Yuhao and Guan, Huankang and Lu, Xudong and Bo, Yang and Hancke, Gerhard and Liu, Rui and Lau, Rynson WH}, | |
| booktitle={European Conference on Computer Vision}, | |
| pages={57--74}, | |
| year={2026}, | |
| organization={Springer} | |
| } | |
| ``` | |