Temporal interaction and excitation for action recognition-Reference-Cited by-同舟云学术

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Temporal interaction and excitation for action recognition

Published:2023-08-16 Issue:04 Volume:32 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Wang Chenwu¹,Yang Linfeng²,Zhu Zhixiang¹,Wang Pei¹,Nan Ajian³

Affiliation:

1. Xi’an University of Posts and Telecommunications, School of Modern Post, Xi’an, China

2. Xi’an University of Posts and Telecommunications, School of Computer Science and Technology, Xi’an, China

3. Shaanxi Information Engineering Research Institute, Data Operations Department, Xi’an, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference49 articles.

1. Action Recognition with Improved Trajectories

2. Action recognition by dense trajectories

3. Two-stream convolutional networks for action recognition in videos;Simonyan,2014

4. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

5. Convolutional two-stream network fusion for video action recognition;Feichtenhofer,2016

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