ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human–Computer Interaction-Reference-Cited by-同舟云学术

ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human–Computer Interaction

Author:

Liu Hai¹^ORCID,Liu Tingting²^ORCID,Zhang Zhaoli¹^ORCID,Sangaiah Arun Kumar³^ORCID,Yang Bing²,Li Youfu⁴^ORCID

Affiliation:

1. National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China

2. School of Education, Hubei University, Wuhan, China

3. School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India

4. Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong

Funder

National Natural Science Foundation of China

China Unicom Hubei Branch Bilateral Cooperation Research Funds

Research Funds of Hubei Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference42 articles.

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