GCANet: Geometry cues-aware facial expression recognition based on graph convolutional networks-Reference-Cited by-同舟云学术

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GCANet: Geometry cues-aware facial expression recognition based on graph convolutional networks

Published:2023-07 Issue:7 Volume:35 Page:101605
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Wang Shutong,Zhao Anran,Lai Chenghang,Zhang Qi,Li Duantengchuan,Gao Yihua,Dong Liangshan,Wang Xiaoguang

Funder

National Office for Philosophy and Social Sciences

Chinese National Funding of Social Sciences

Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China

Publisher

Elsevier BV

Subject

General Computer Science

Reference75 articles.

1. Acharya, D., Huang, Z., Pani Paudel, D., Van Gool, L., 2018. Covariance pooling for facial expression recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 367–374.

2. Albanie, S., Nagrani, A., Vedaldi, A., Zisserman, A., 2018. Emotion recognition in speech using cross-modal transfer in the wild. In: Proceedings of the 26th ACM International Conference on Multimedia, pp. 292–301.

3. Openface 2.0: Facial behavior analysis toolkit;Baltrusaitis,2018

4. Bargal, S.A., Barsoum, E., Ferrer, C.C., Zhang, C., 2016. Emotion recognition in the wild from videos using images. In: Proceedings of the 18th ACM International Conference on Multimodal Interaction, pp. 433–436.

5. Barsoum, E., Zhang, C., Ferrer, C.C., Zhang, Z., 2016. Training deep networks for facial expression recognition with crowd-sourced label distribution. In: Proceedings of the 18th ACM International Conference on Multimodal Interaction, pp. 279–283.

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