DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos-Reference-Cited by-同舟云学术

DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Wang Yan¹,Sun Yixuan¹,Song Wei²,Gao Shuyong¹,Huang Yiwen¹,Chen Zhaoyu¹,Ge Weifeng¹,Zhang Wenqiang³

Affiliation:

1. Fudan University, Shanghai, China

2. Shanghai Ocean University, Shanghai, China

3. Fudan University & Yiwu Research Institute of Fudan University, Shanghai, China

Funder

Scientific and Technological Innovation Action Plan of Shanghai Science and Technology Committee

Shanghai Pujiang Program

Fudan University-CIOMP Joint Fund

National Natural Science Foundation of China

Double First-class Construction Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547865

Reference68 articles.

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2. Danilo Avola , Luigi Cinque , Alessio Fagioli , Gian Luca Foresti, and Cristiano Massaroni . 2020 . Deep temporal analysis for non-acted body affect recognition. IEEE Transactions on Affective Computing ( 2020). Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, and Cristiano Massaroni. 2020. Deep temporal analysis for non-acted body affect recognition. IEEE Transactions on Affective Computing (2020).

3. Towards a robust affect recognition: Automatic facial expression recognition in 3D faces

4. Island Loss for Learning Discriminative Features in Facial Expression Recognition

5. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

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