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This paper presents the results of the SUN team for the Compound Expressions Recognition Challenge of the 6th ABAW Competition.
Face behavior a la carte: Expressions, affect and action units in a single network
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 1910
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IEMOCAP: Interactive emotional dyadic motion capture database
Carlos Busso, Murtaza Bulut, Chi-Chun Lee, et al · 2008
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Audio-visual feature selection and reduction for emotion classification
Sanaul Haq, Philip JB Jackson, and James Edge · 2008
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CREMA-D: Crowd-sourced emotional multimodal actors dataset
Houwei Cao, David G Cooper, Michael K Keutmann, et al · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Reliable crowdsourcing and deep locality-preserving learning for expression recognition in the wild
Shan Li, Weihong Deng, and JunPing Du · 2017
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SGDR: stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
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Building naturalistic emotionally balanced speech corpus by retrieving emotional speech from existing podcast recordings
Reza Lotfian and Carlos Busso · 2017
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AffectNet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor · 2017
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Aff-wild: Valence and arousal ‘in-the-wild’challenge
Stefanos Zafeiriou, Dimitrios Kollias, Mihalis A Nicolaou, et al · 2017
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mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2017
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The ryerson audio-visual database of emotional speech and song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in north american english
Steven R Livingstone and Frank A Russo · 2018
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RAMAS: Russian multimodal corpus of dyadic interaction for affective computing
Olga Perepelkina, Evdokia Kazimirova, and Maria Konstantinova · 2018
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Emotiw 2019: Automatic emotion, engagement and cohesion prediction tasks
Abhinav Dhall · 2019
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Expression, affect, action unit recognition: Aff-Wild2, multi-task learning and arcface
Dimitrios Kollias and Stefanos Zafeiriou · 2019
Distribution matching for heterogeneous multi-task learning: a large-scale face study
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2021
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ABAW: Valence-arousal estimation, expression recognition, action unit detection & multi-task learning challenges
Dimitrios Kollias · 2022
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MAFW: A large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild
Yuanyuan Liu, Wei Dai, Chuanxu Feng, et al · 2022
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In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study
Elena Ryumina, Denis Dresvyanskiy, and Alexey Karpov · 2022
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ABAW: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird, Alan Cowen, and Stefanos Zafeiriou · 2023
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Analysing affective behavior in the first abaw 2020 competition
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Does label smoothing mitigate label noise?
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ABAW: Learning from synthetic data & multi-task learning challenges
Dimitrios Kollias
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Multi-label compound expression recognition: C-EXPR database & network
Dimitrios Kollias
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Compound expression recognition in-the-wild with AU-assisted meta multi-task learning
Ximan Li, Weihong Deng, Shan Li, and Yong Li · 2023
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MAE-DFER: Efficient masked autoencoder for self-supervised dynamic facial expression recognition
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Dawn of the transformer era in speech emotion recognition: closing the valence gap
Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf, et al · 2023
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The 6th affective behavior analysis in-the-wild (ABAW) competition
Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen, et al · 2024
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Licai Sun, Zheng Lian, Bin Liu, and Jianhua Tao · 2024
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