Pose-Appearance Relational Modeling for Video Action Recognition-Reference-Cited by-同舟云学术

Pose-Appearance Relational Modeling for Video Action Recognition

Published:2023 Issue: Volume:32 Page:295-308
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Cui Mengmeng¹^ORCID,Wang Wei¹^ORCID,Zhang Kunbo¹^ORCID,Sun Zhenan¹^ORCID,Wang Liang¹^ORCID

Affiliation:

1. National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Strategic Priority Research Program of Chinese Academy of Sciences

Beijing Municipal Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/09986038.pdf?arnumber=9986038

Reference70 articles.

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3. Recognizing realistic actions from videos “in the wild”

4. Neural machine translation by jointly learning to align and translate;bahdanau;arXiv 1409 0473,2014

5. Long Short-Term Memory-Networks for Machine Reading

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