3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks-Reference-Cited by-同舟云学术

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3D Skeleton-Based Human Motion Prediction Using Dynamic Multi-Scale Spatiotemporal Graph Recurrent Neural Networks

Published:2024-02 Issue:1 Volume:8 Page:164-174
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Lovanshi Mayank¹^ORCID,Tiwari Vivek²^ORCID,Jain Swati³^ORCID

Affiliation:

1. Department of Computer Science & Engineering, International Institute of Information Technology, Naya Raipur, India

2. Department of Computer Science & Engineering, ABV-Indian Institute of Information Technology & Management (ABV-IIITM), Gwalior, India

3. Govt. J. Yoganandam Chhattisgarh College, Raipur, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7433297/10412693/10269077.pdf?arnumber=10269077

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3D Skeleton-Based Non-Autoregressive Human Motion Prediction Using Encoder-Decoder Attention-Based Model;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

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