Attention Transfer (ANT) Network for View-invariant Action Recognition-Reference-Cited by-同舟云学术

Attention Transfer (ANT) Network for View-invariant Action Recognition

Published:2019-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Multimedia
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Author:

Ji Yanli¹,Xu Feixiang¹,Yang Yang¹,Xie Ning¹,Shen Heng Tao¹,Harada Tatsuya²

Affiliation:

1. University of Electronic Science and Technology of China UESTC, Chengdu, China

2. The University of Tokyo, Tokyo, Japan

Funder

the Natural Science Foundation of China (NSFC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3343031.3350959

Reference49 articles.

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3. Y. Bin Y. Yang F. Shen N. Xie H. T. Shen and X. Li. 2018. Describing Video with Attention based Bidirectional LSTM. IEEE Transactions on Cybernetics (2018). doi:10.1109/TCYB.2018. 2831447. Y. Bin Y. Yang F. Shen N. Xie H. T. Shen and X. Li. 2018. Describing Video with Attention based Bidirectional LSTM. IEEE Transactions on Cybernetics (2018). doi:10.1109/TCYB.2018. 2831447.

4. Y. Du Y. Fu and L. Wang. 2015. Skeleton based action recognition with convolutional neural network. In ACPR. Y. Du Y. Fu and L. Wang. 2015. Skeleton based action recognition with convolutional neural network. In ACPR.

5. Attentional Mechanisms for Socially Interactive Robots–A Survey

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