no code implementations • 14 Apr 2022 • Anthony Cioppa, Silvio Giancola, Adrien Deliege, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, Marc Van Droogenbroeck
Tracking objects in soccer videos is extremely important to gather both player and team statistics, whether it is to estimate the total distance run, the ball possession or the team formation.
1 code implementation • CVPR 2022 • Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava
Without the boundary information of action segments, existing methods mostly rely on multiple instance learning (MIL), where the predictions of unlabeled instances (i. e., video snippets) are supervised by classifying labeled bags (i. e., untrimmed videos).
2 code implementations • 28 Jun 2021 • Xin Zhou, Le Kang, Zhiyu Cheng, Bo He, Jingyu Xin
With rapidly evolving internet technologies and emerging tools, sports related videos generated online are increasing at an unprecedentedly fast pace.
no code implementations • 25 Sep 2019 • Bapu Li(*), Yanwen Fan(*), Zhiyu Cheng, Yingze Bao (* means equal contribution)
We further devise a new loss function in the search process to simultaneously optimize accuracy and parameter size of the model.