Zobrazeno 1 - 10
of 710
pro vyhledávání: '"Wang, Kejun"'
Autor:
Wang, Kejun1 (AUTHOR), Chen, Siyuan1 (AUTHOR), Bao, Guanyu1 (AUTHOR), Sun, Tao2 (AUTHOR), Zhang, Junqiu2 (AUTHOR), Chen, Daobing3 (AUTHOR), Sun, Lining1 (AUTHOR), Han, Zhiwu2 (AUTHOR), Liu, Chao1 (AUTHOR) c.liu@suda.edu.cn, Wang, Qian1 (AUTHOR) qianwang@suda.edu.cn
Publikováno v:
Advanced Science. 11/6/2024, Vol. 11 Issue 41, p1-10. 10p.
The critical goal of gait recognition is to acquire the inter-frame walking habit representation from the gait sequences. The relations between frames, however, have not received adequate attention in comparison to the intra-frame features. In this p
Externí odkaz:
http://arxiv.org/abs/2209.12364
As a study on the efficient usage of data, Multi-source Unsupervised Domain Adaptation transfers knowledge from multiple source domains with labeled data to an unlabeled target domain. However, the distribution discrepancy between different domains a
Externí odkaz:
http://arxiv.org/abs/2208.02947
Autor:
Sun, Qinggang, Wang, Kejun
The separation of single-channel underwater acoustic signals is a challenging problem with practical significance. Few existing studies focus on the source separation problem with unknown numbers of signals, and how to evaluate the performance of the
Externí odkaz:
http://arxiv.org/abs/2207.11749
Autor:
Liu, Cong *, Liu, Pingquan, Liu, Shuangxing, Guo, Haishan, Zhu, Tingqi, Li, Wenting *, Wang, Kejun *, Kang, Xiangtao *, Sun, Guirong *
Publikováno v:
In Poultry Science December 2024 103(12)
Publikováno v:
Neurocomputing2021
As a unique and promising biometric, video-based gait recognition has broad applications. The key step of this methodology is to learn the walking pattern of individuals, which, however, often suffers challenges to extract the behavioral feature from
Externí odkaz:
http://arxiv.org/abs/2104.11473
Autor:
Li, Wenting, Gao, Chaoqun, Cai, Zhao, Yan, Sensen, Lei, Yanru, Wei, Mengya, Sun, Guirong, Tian, Yadong, Wang, Kejun, Kang, Xiangtao
Publikováno v:
In Journal of Integrative Agriculture March 2024 23(3):975-987
Autor:
Song, Chenglei, Zhang, Zhe, Wei, Yilin, Dou, Yaqing, Qi, Kunlong, Li, Xiuling, Yang, Feng, Li, Xinjian, Wang, Kejun, Qiao, Ruimin, Han, Xuelei
Publikováno v:
In Theriogenology February 2024 215:103-112
Publikováno v:
In Advanced Powder Technology January 2024 35(1)
Facing the complex marine environment, it is extremely challenging to conduct underwater acoustic target recognition (UATR) using ship-radiated noise. Inspired by neural mechanism of auditory perception, this paper provides a new deep neural network
Externí odkaz:
http://arxiv.org/abs/2011.14336