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This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Evidence of convergent validity on the dimensions of affect
James A Russell · 1978
Earlier work this paper cites.
The emotions
Nico H Frijda et al · 1986
Earlier work this paper cites.
The dictionary of affect in language, emotion: Theory, research and experience: vol. 4, the measurement of emotions, r
CM Whissel · 1989
Earlier work this paper cites.
The expression of the emotions in man and animals
Charles Darwin and Phillip Prodger · 1998
Earlier work this paper cites.
’feeltrace’: An instrument for recording perceived emotion in real time
Roddy Cowie, Ellen Douglas-Cowie, Susie Savvidou*, Edelle McMahon, Martin Sawey, and Marc Schröder · 2000
Earlier work this paper cites.
Facial action coding system (facs)
Paul Ekman · 2002
Earlier work this paper cites.
Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
Earlier work this paper cites.
Deep learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
Earlier work this paper cites.
A survey of affective computing for stress detection: Evaluating technologies in stress detection for better health
Shalom Greene, Himanshu Thapliyal, and Allison Caban-Holt · 2016
Earlier work this paper cites.
Incremental boosting convolutional neural network for facial action unit recognition
Shizhong Han, Zibo Meng, Ahmed-Shehab Khan, and Yan Tong · 2016
Earlier work this paper cites.
Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia
Junghoe Kim, Vince D Calhoun, Eunsoo Shim, and Jong-Hwan Lee · 2016
Earlier work this paper cites.
Face2face: Real-time face capture and reenactment of rgb videos
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2016
Earlier work this paper cites.
Fatauva-net : An integrated deep learning framework for facial attribute recognition, action unit (au) detection, and valence-arousal estimation
Wei-Yi Chang, Shih-Huan Hsu, and Jen-Hsien Chien · 2017
Earlier work this paper cites.
Multimodal multi-task learning for dimensional and continuous emotion recognition
Shizhe Chen, Qin Jin, Jinming Zhao, and Shuai Wang · 2017
Earlier work this paper cites.
Recognition of affect in the wild using deep neural networks
Dimitrios Kollias, Mihalis A Nicolaou, Irene Kotsia, Guoying Zhao, and Stefanos Zafeiriou · 2017
Earlier work this paper cites.
Aff-wild: Valence and arousal’in-the-wild’challenge
Stefanos Zafeiriou, Dimitrios Kollias, Mihalis A Nicolaou, Athanasios Papaioannou, Guoying Zhao, and Irene Kotsia · 2017
Earlier work this paper cites.
Automated eeg-based screening of depression using deep convolutional neural network
U Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Jen Hong Tan, Hojjat Adeli, and D Puthankattil Subha · 2018
Earlier work this paper cites.
Aff-wild2: Extending the aff-wild database for affect recognition
Dimitrios Kollias and Stefanos Zafeiriou · 2018
Earlier work this paper cites.
A multi-task learning & generation framework: Valence-arousal, action units & primary expressions
Dimitrios Kollias and Stefanos Zafeiriou · 2018
Earlier work this paper cites.
Hai X Pham, Yuting Wang, and Vladimir Pavlovic · 2018
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Ganimation: Anatomically-aware facial animation from a single image
Albert Pumarola, Antonio Agudo, Aleix M Martinez, Alberto Sanfeliu, and Francesc Moreno-Noguer · 2018
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Headon: real-time reenactment of human portrait videos
Justus Thies, Michael Zollhöfer, Christian Theobalt, Marc Stamminger, and Matthias Nießner · 2018
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Face behavior a la carte: Expressions, affect and action units in a single network
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Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
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Driver emotion recognition for intelligent vehicles: A survey
Sebastian Zepf, Javier Hernandez, Alexander Schmitt, Wolfgang Minker, and Rosalind W Picard · 2020
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m 3 m^{3} t: Multi-modal continuous valence-arousal estimation in the wild
Yuan-Hang Zhang, Rulin Huang, Jiabei Zeng, Shiguang Shan, and Xilin Chen · 2020
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Panagiotis Antoniadis, Ioannis Pikoulis, Panagiotis P Filntisis, and Petros Maragos · 2021
Later among the works it cites.
Didan Deng, Liang Wu, and Bertram E Shi · 2021
Later among the works it cites.
Affect expression behaviour analysis in the wild using consensual collaborative training
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Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
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Ibrahim M Nasser, Mohammed O Al-Shawwa, and Samy S Abu-Naser · 2019
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Fau, facial expressions, valence and arousal: A multi-task solution
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Multitask emotion recognition with incomplete labels
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An audio-video deep and transfer learning framework for multimodal emotion recognition in the wild
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A multi-modal and multi-task learning method for action unit and expression recognition
Yue Jin, Tianqing Zheng, Chao Gao, and Guoqiang Xu · 2021
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Distribution matching for heterogeneous multi-task learning: a large-scale face study
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2021
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Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework
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Analysing affective behavior in the second abaw2 competition
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Technical report for valence-arousal estimation on affwild2 dataset
I Li et al · 2021
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Spatial and temporal networks for facial expression recognition in the wild videos
Shuyi Mao, Xinqi Fan, and Xiaojiang Peng · 2021
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Causal affect prediction model using a facial image sequence
Geesung Oh, Euiseok Jeong, and Sejoon Lim · 2021
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Action units recognition using improved pairwise deep architecture
Junya Saito, Xiaoyu Mi, Akiyoshi Uchida, Sachihiro Youoku, Takahisa Yamamoto, and Kentaro Murase · 2021
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Multitask multi-database emotion recognition
Manh Tu Vu and Marie Beurton-Aimar · 2021
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A multi-task mean teacher for semi-supervised facial affective behavior analysis
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Technical report for valence-arousal estimation in abaw2 challenge
Hong-Xia Xie, I Li, Ling Lo, Hong-Han Shuai, Wen-Huang Cheng, et al · 2021
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Audio-visual attentive fusion for continuous emotion recognition
Su Zhang, Yi Ding, Ziquan Wei, and Cuntai Guan · 2021
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Prior aided streaming network for multi-task affective recognitionat the 2nd abaw2 competition
Wei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, and Yu Ding · 2021
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