Pose-Aided Video-Based Person Re-Identification via Recurrent Graph Convolutional Network-Reference-Cited by-同舟云学术

Pose-Aided Video-Based Person Re-Identification via Recurrent Graph Convolutional Network

Author:

Pan Honghu¹,Liu Qiao²^ORCID,Chen Yongyong¹^ORCID,He Yunqi³,Zheng Yuan⁴^ORCID,Zheng Feng⁵,He Zhenyu¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

2. National Center for Applied Mathematics, Chongqing Normal University, Chongqing, China

3. College of Information and Computer Engineering, Northeast Forestry University, Harbin, China

4. School of Computer Science, Inner Mongolia University, Huhehot, China

5. College of Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Research Council

Major Key Project of Pengcheng Laboratory

Guangdong Natural Science Foundation

Shenzhen Science and Technology Program

Natural Science Foundation of Chongqing

Science and Technology Research Program of Chongqing Municipal Education Commission

Foundation of National Center for Applied Mathematics in Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

Reference72 articles.

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