Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Zhu, Anqi"'
While remarkable progress has been made on supervised skeleton-based action recognition, the challenge of zero-shot recognition remains relatively unexplored. In this paper, we argue that relying solely on aligning label-level semantics and global sk
Externí odkaz:
http://arxiv.org/abs/2406.13327
Action-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action Detection
Human action recognition is a crucial task in computer vision systems. However, in real-world scenarios, human actions often fall outside the distribution of training data, requiring a model to both recognize in-distribution (ID) actions and reject o
Externí odkaz:
http://arxiv.org/abs/2405.20633
Skeleton-based action recognition receives increasing attention because the skeleton representations reduce the amount of training data by eliminating visual information irrelevant to actions. To further improve the sample efficiency, meta-learning-b
Externí odkaz:
http://arxiv.org/abs/2209.10073
Autor:
Wang, Xihui1 (AUTHOR), Zhu, Anqi2 (AUTHOR), Fan, Yu1 (AUTHOR) fanyu@ustc.edu.cn, Liang, Liang2 (AUTHOR)
Publikováno v:
International Journal of Production Research. Jul2024, Vol. 62 Issue 14, p5211-5235. 25p.
Autor:
Yang, Xiaomeng, Xu, Fanglei, Qin, Keyi, Yu, Yida, Zheng, Qishan, Zhu, Anqi, Hu, Biying, Gu, Chuanhua
Publikováno v:
In Thinking Skills and Creativity December 2024 54
Autor:
Dorighi, Kristel M., Zhu, Anqi, Fortin, Jean-Philippe, Hung-Hao Lo, Jerry, Sudhamsu, Jawahar, Wendorff, Timothy J., Durinck, Steffen, Callow, Marinella, Foster, Scott A., Haley, Benjamin
Publikováno v:
In Cell Reports 25 June 2024 43(6)
Publikováno v:
In International Journal of Production Economics May 2024 271
Autor:
Lan, Yanping, Xu, Boheng, Xi, Yuxin, Luo, Yi, Guo, Xiaoxia, Huang, Zhibin, Luo, Danjiao, Zhu, Anqi, He, Pujing, Li, Changxing, Huang, Qiuying, Li, Qingge
Publikováno v:
In Laboratory Investigation February 2024 104(2)
Publikováno v:
In Ad Hoc Networks 1 January 2024 152
Publikováno v:
In Future Generation Computer Systems January 2024 150:202-219