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Connection Science Volume 34, 2022 - Issue 1
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Articles

Multi-stream part-fused graph convolutional networks for skeleton-based gait recognition

Likai Wanga College of Intelligence and Computing, Tianjin University, Tianjin, People's Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3464-9003
ORCID Icon,
Jinyan Chena College of Intelligence and Computing, Tianjin University, Tianjin, People's Republic of China
,
Zhenghang Chena College of Intelligence and Computing, Tianjin University, Tianjin, People's Republic of China
,
Yuxin Liua College of Intelligence and Computing, Tianjin University, Tianjin, People's Republic of China
&
Haolin Yangb College of Information Science and Technology, Jinan University, Guangzhou, People's Republic of China
Pages 652-669 | Received 06 Sep 2021, Accepted 30 Dec 2021, Published online: 17 Jan 2022

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Jisheng Qin, Xiaoqin Zeng, Shengli Wu & Yang Zou. (2022) Feature recommendation strategy for graph convolutional network. Connection Science 34:1, pages 1697-1718.
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Chuan Zhao, Xin Li, Zezhi Shao, HongJi Yang & Fei Wang. (2022) Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction. Connection Science 34:1, pages 1252-1272.
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Articles from other publishers (1)

Md. Bakhtiar Hasan, Tasnim Ahmed & Md. Hasanul Kabir. (2022) HEATGait: Hop-Extracted Adjacency Technique in Graph Convolution based Gait Recognition. HEATGait: Hop-Extracted Adjacency Technique in Graph Convolution based Gait Recognition.

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