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of 2 064
pro vyhledávání: '"Zhou, Yujie"'
Publikováno v:
JMIR Mental Health, Vol 8, Iss 2, p e27596 (2021)
Externí odkaz:
https://doaj.org/article/aa86d121eb9d4b2680a5b1c071f88544
Publikováno v:
JMIR Mental Health, Vol 8, Iss 1, p e23125 (2021)
BackgroundThe outbreak of COVID-19 has dominated headlines worldwide. The number of infections has continued to rise and had reached 30,000 worldwide at the time this paper was written. Because of the high risk of nosocomial transmission, medical hea
Externí odkaz:
https://doaj.org/article/ab6c0245806d4ffcb1f6ca954341f37b
Zero-shot skeleton-based action recognition aims to recognize actions of unseen categories after training on data of seen categories. The key is to build the connection between visual and semantic space from seen to unseen classes. Previous studies h
Externí odkaz:
http://arxiv.org/abs/2308.03950
Publikováno v:
ACM MM 2023
Human motion prediction (HMP) has emerged as a popular research topic due to its diverse applications, but it remains a challenging task due to the stochastic and aperiodic nature of future poses. Traditional methods rely on hand-crafted features and
Externí odkaz:
http://arxiv.org/abs/2308.01097
Autor:
Wang, Jiaqi, Zhang, Pan, Chu, Tao, Cao, Yuhang, Zhou, Yujie, Wu, Tong, Wang, Bin, He, Conghui, Lin, Dahua
Recent advances in detecting arbitrary objects in the real world are trained and evaluated on object detection datasets with a relatively restricted vocabulary. To facilitate the development of more general visual object detection, we propose V3Det,
Externí odkaz:
http://arxiv.org/abs/2304.03752
Self-supervised learning has demonstrated remarkable capability in representation learning for skeleton-based action recognition. Existing methods mainly focus on applying global data augmentation to generate different views of the skeleton sequence
Externí odkaz:
http://arxiv.org/abs/2302.09018
Federated learning (FL), which has gained increasing attention recently, enables distributed devices to train a common machine learning (ML) model for intelligent inference cooperatively without data sharing. However, problems in practical networks,
Externí odkaz:
http://arxiv.org/abs/2210.03444
Autor:
Su, Bing, Du, Dazhao, Yang, Zhao, Zhou, Yujie, Li, Jiangmeng, Rao, Anyi, Sun, Hao, Lu, Zhiwu, Wen, Ji-Rong
Although artificial intelligence (AI) has made significant progress in understanding molecules in a wide range of fields, existing models generally acquire the single cognitive ability from the single molecular modality. Since the hierarchy of molecu
Externí odkaz:
http://arxiv.org/abs/2209.05481
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 08, Pp 955-960 (2024)
Background With the population ages, the mental health of the elderly has become a hot topic of concern for the whole society. Previous studies have shown that mental health problems in the elderly are closely related to well-being, while personality
Externí odkaz:
https://doaj.org/article/0e1a55f69ddf46c0a1ae7d9e2c68b5a4
Publikováno v:
In Process Safety and Environmental Protection October 2024 190 Part B:185-197