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research-article

Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning

Authors:

Guang LiangAuthors Info & Claims

MM '19: Proceedings of the 27th ACM International Conference on Multimedia

Pages 238 - 246

https://doi.org/10.1145/3343031.3350872

Published: 15 October 2019 Publication History

Abstract

Existing facial expression recognition methods either focus on pose variations or identity bias, but not both simultaneously. This paper proposes an adversarial feature learning method to address both of these issues. Specifically, the proposed method consists of five components: an encoder, an expression classifier, a pose discriminator, a subject discriminator, and a generator. An encoder extracts feature representations, and an expression classifier tries to perform facial expression recognition using the extracted feature representations. The encoder and the expression classifier are trained collaboratively, so that the extracted feature representations are discriminative for expression recognition. A pose discriminator and a subject discriminator classify the pose and the subject from the extracted feature representations respectively. They are trained adversarially with the encoder. Thus, the extracted feature representations are robust to poses and subjects. A generator reconstructs facial images to further favor the feature representations. Experiments on five benchmark databases demonstrate the superiority of the proposed method to state-of-the-art work.

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Cited By

Wang SYang JYang Y(2024)A collaborative filtering method by fusion of facial information featuresJournal of Intelligent & Fuzzy Systems10.3233/JIFS-232718(1-20)Online publication date: 19-Mar-2024
https://doi.org/10.3233/JIFS-232718
Win KAkhtar ZMohan C(2024)Does Hard-Negative Contrastive Learning Improve Facial Emotion Recognition?Proceedings of the 2024 7th International Conference on Machine Vision and Applications10.1145/3653946.3653971(162-168)Online publication date: 12-Mar-2024
https://dl.acm.org/doi/10.1145/3653946.3653971
Cho YKim CCho HKu YKim EBoboev MLee JBaek S(2024)RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00581(5901-5910)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00581
Show More Cited By

Index Terms

Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Information

Published In

cover image ACM Conferences

MM '19: Proceedings of the 27th ACM International Conference on Multimedia

October 2019

2794 pages

ISBN:9781450368896

DOI:10.1145/3343031

General Chairs:
Laurent Amsaleg
CNRS-IRISA, France
,
Benoit Huet
EURECOM, France
,
Martha Larson
Radboud University and TU Delft (Netherlands)
,
Program Chairs:
Guillaume Gravier
CNRS-IRISA, France
,
Hayley Hung
Delft University of Technology Netherlands
,
Chong-Wah Ngo
City University of Hong Kong Hong Kong
,
Wei Tsang Ooi
National University of Singapore Singapore

Copyright © 2019 ACM.

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2019

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Project from Anhui Science and Technology Agency
NSFC

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MM '19

Sponsor:

SIGMM

MM '19: The 27th ACM International Conference on Multimedia

October 21 - 25, 2019

Nice, France

Acceptance Rates

MM '19 Paper Acceptance Rate 252 of 936 submissions, 27%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Citations

Cited By

Wang SYang JYang Y(2024)A collaborative filtering method by fusion of facial information featuresJournal of Intelligent & Fuzzy Systems10.3233/JIFS-232718(1-20)Online publication date: 19-Mar-2024
https://doi.org/10.3233/JIFS-232718
Win KAkhtar ZMohan C(2024)Does Hard-Negative Contrastive Learning Improve Facial Emotion Recognition?Proceedings of the 2024 7th International Conference on Machine Vision and Applications10.1145/3653946.3653971(162-168)Online publication date: 12-Mar-2024
https://dl.acm.org/doi/10.1145/3653946.3653971
Cho YKim CCho HKu YKim EBoboev MLee JBaek S(2024)RMFER: Semi-supervised Contrastive Learning for Facial Expression Recognition with Reaction Mashup Video2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00581(5901-5910)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00581
Xie WPeng ZShen LLu WZhang YSong S(2024)Cross-Layer Contrastive Learning of Latent Semantics for Facial Expression RecognitionIEEE Transactions on Image Processing10.1109/TIP.2024.337845933(2514-2529)Online publication date: 2024
https://doi.org/10.1109/TIP.2024.3378459
Wang RSong PZheng W(2024)Graph-Diffusion-Based Domain-Invariant Representation Learning for Cross-Domain Facial Expression RecognitionIEEE Transactions on Computational Social Systems10.1109/TCSS.2024.335511311:3(4163-4174)Online publication date: Jun-2024
https://doi.org/10.1109/TCSS.2024.3355113
Wang SWu YChang YLi GMao M(2024)Pose-Aware Facial Expression Recognition Assisted by Expression DescriptionsIEEE Transactions on Affective Computing10.1109/TAFFC.2023.326777415:1(241-253)Online publication date: Jan-2024
https://doi.org/10.1109/TAFFC.2023.3267774
Ni SLiu SCai HWang HXiao H(2024)Facial Expression Recognition with Multi-level Integration Disentangled Generative Adversarial Network2024 IEEE International Conference on Industrial Technology (ICIT)10.1109/ICIT58233.2024.10540810(1-6)Online publication date: 25-Mar-2024
https://doi.org/10.1109/ICIT58233.2024.10540810
Zhang YJiang JZhao YLiang K(2024)SLNL: Soft Label Regularization For Semi-Supervised Facial Expression Recognition With Negative Label Learning2024 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP51287.2024.10647657(423-429)Online publication date: 27-Oct-2024
https://doi.org/10.1109/ICIP51287.2024.10647657
Sun RZhang ZLiu HZhao LZhou QLiu Z(2024)DacFER: Dual Attention Correction Learning for Efficient Facial Expression Recognition2024 7th International Conference on Electronics Technology (ICET)10.1109/ICET61945.2024.10672990(941-945)Online publication date: 17-May-2024
https://doi.org/10.1109/ICET61945.2024.10672990
Tao MLiao LLi KXu JHuang W(2024)Optimized-CNN enabled Facial Emotion Recognition within Collaborative Edge Computing2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD61410.2024.10580276(12-17)Online publication date: 8-May-2024
https://doi.org/10.1109/CSCWD61410.2024.10580276
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