Zobrazeno 1 - 10
of 106
pro vyhledávání: '"LIU Shiya"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 4, Pp 784-793 (2023)
With the increasing number of users express their emotions via images on social media, image emotion analysis attracts much attention of researchers. For the ambiguity and subjectivity of emotion, image emotion analysis is more challenging than other
Externí odkaz:
https://doaj.org/article/0fee132db8664f028a545ff10d93f517
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 2, Pp 370-378 (2023)
In the reconstruction process from 2D images to 3D face models, texture completion still suffers from pixel blurring and color inconsistency when face images are under different perspectives. In this paper, we propose a method based on visibility wei
Externí odkaz:
https://doaj.org/article/30db2b392ace45ef9ce901c9867cccc4
Publikováno v:
Security and Safety, Vol 2, p E2023014 (2023)
Externí odkaz:
https://doaj.org/article/1060cf9ea31f4a0195d94fdc5857a15a
Autor:
Liu Shiya
Publikováno v:
Security and Safety, Vol 2, p 2023010 (2023)
Externí odkaz:
https://doaj.org/article/b1053a43005b4b1d8424bc0eadbe840c
Autor:
Liu, Shiya1 (AUTHOR) liushiya@fosu.edu.cn, Zhu, Zheshuai1 (AUTHOR) 2112052078@stu.fosu.edu.cn, Chen, Zibin1 (AUTHOR) 2112202070@stu.fosu.edu.cn, He, Jun1 (AUTHOR) 2112202075@stu.fosu.edu.cn, Chen, Xingda1 (AUTHOR), Chen, Zhiwen2 (AUTHOR) zhiwen.chen@csu.edu.cn
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6907. 16p.
Publikováno v:
In Neurocomputing 7 December 2024 609
Autor:
Liu, Shiya1 (AUTHOR), Shen, Gaigai1 (AUTHOR), Zhou, Xuanyu2 (AUTHOR), Sun, Lixin1 (AUTHOR), Yu, Long1 (AUTHOR), Cao, Yuanting1 (AUTHOR), Shu, Xiong3 (AUTHOR) shuxiong@jst-hosp.com.cn, Ran, Yuliang1 (AUTHOR) ranyuliang@cicams.ac.cn
Publikováno v:
Advanced Science. 9/4/2024, Vol. 11 Issue 33, p1-17. 17p.
Autor:
Yang, Xinxin, Huang, Li, Zhang, Yanyan, Wang, Kaixin, Liu, Shiya, Li, Xiaojin, Ding, Yuanyuan, Deng, Daling, Zhang, Tianhao, Zhao, Wenjing, Ma, Lulin, Wang, Yafeng, Shu, Shaofang, Chen, Xiangdong
Publikováno v:
In Clinical Nutrition September 2024 43(9):2198-2210
There is a need to protect the personal identity information in public EEG datasets. However, it is challenging to remove such information that has infinite classes (open set). We propose an approach to disguise the identity information in EEG signal
Externí odkaz:
http://arxiv.org/abs/2010.08915
Autor:
Liu, Shiya
Due to the limited computation and storage resources of Internet of Things (IoT) devices, many emerging intelligent applications based on deep learning techniques heavily depend on cloud computing for computation and storage. However, cloud computing
Externí odkaz:
http://hdl.handle.net/10919/116629