AU-assisted Graph Attention Convolutional Network for Micro-Expression Recognition-Reference-Cited by-同舟云学术

AU-assisted Graph Attention Convolutional Network for Micro-Expression Recognition

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
language:
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Author:

Xie Hong-Xia¹,Lo Ling¹,Shuai Hong-Han¹,Cheng Wen-Huang²

Affiliation:

1. National Chiao Tung University, Hsinchu, Taiwan Roc

2. National Chiao Tung Univresity, Hsinchu, Taiwan Roc

Funder

Ministry of Science and Technology, Taiwan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3414012

Reference55 articles.

1. Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks

2. Jie Cai Zibo Meng Ahmed Shehab Khan Zhiyuan Li James O'Reilly and Yan Tong. 2019. Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network. arXiv:1903.08051 (2019). Jie Cai Zibo Meng Ahmed Shehab Khan Zhiyuan Li James O'Reilly and Yan Tong. 2019. Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network. arXiv:1903.08051 (2019).

3. Multi-Label Image Recognition With Graph Convolutional Networks

4. Learning Spatial and Temporal Cues for Multi-Label Facial Action Unit Detection

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