Micro-gesture Online Recognition using Learnable Query Points
<|reference_start|>Micro-gesture Online Recognition using Learnable Query Points: In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the Micro-gesture Online Recognition track in the MiGA challenge at IJCAI 2024. The Micro-gesture Online Recognition task involves identifying the category and locating the start and end times of micro-gestures in video clips. Compared to the typical Temporal Action Detection task, the Micro-gesture Online Recognition task focuses more on distinguishing between micro-gestures and pinpointing the start and end times of actions. Our solution ranks 2nd in the Micro-gesture Online Recognition track.<|reference_end|>
@article{liu2024micro-gesture,
    title={Micro-gesture Online Recognition using Learnable Query Points},
    author={Pengyu Liu, Fei Wang, Kun Li, Guoliang Chen, Yanyan Wei, Shengeng
  Tang, Zhiliang Wu, Dan Guo},
    journal={arXiv preprint arXiv:2407.04490},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.04490},
    primaryClass={cs.CV}
}