Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach-Reference-Cited by-同舟云学术

Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach

Published:2023-10 Issue:10 Volume:33 Page:5707-5720
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Yu Hua¹^ORCID,Fan Xuanzhe¹^ORCID,Hou Yaqing¹^ORCID,Pei Wenbin¹^ORCID,Ge Hongwei¹^ORCID,Yang Xin¹^ORCID,Zhou Dongsheng²^ORCID,Zhang Qiang¹^ORCID,Zhang Mengjie³^ORCID

Affiliation:

1. College of Computer Science and Technology, Dalian University of Technology, Dalian, China

2. School of Software Engineering, Dalian University, Dalian, China

3. School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China (NSFC)-Liaoning Province United Foundation

NSFC

Fundamental Research Funds for the Central Universities

Liaoning Revitalization Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10269772/10064318.pdf?arnumber=10064318

Reference50 articles.

1. Recurrent Network Models for Human Dynamics

2. Structured Prediction Helps 3D Human Motion Modelling

3. Towards Natural and Accurate Future Motion Prediction of Humans and Animals

4. Learning Trajectory Dependencies for Human Motion Prediction

5. On Human Motion Prediction Using Recurrent Neural Networks

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