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Facial Action Coding System is an important approach of facial expression analysis.This paper describes our submission to the third Affective Behavior Analysis (ABAW) 2022 competition.
S. Zafeiriou, D. Kollias, M. A. Nicolaou, A. Papaioannou, G. Zhao, and I. Kotsia, “Aff-wild: Valence and arousal ‘in-the-wild’ challenge,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2017, pp. 1980–1987
1987
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778
2016
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” Advances in neural information processing systems , vol. 30, 2017
2017
Earlier work this paper cites.
——, “Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface,” 2019
2019
Earlier work this paper cites.
D. Kollias, P. Tzirakis, M. A. Nicolaou, A. Papaioannou, G. Zhao, B. Schuller, I. Kotsia, and S. Zafeiriou, “Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond,” International Journal of Computer Vision , vol. 127, no. 6-7, p. 907–929, Feb 2019. [Online]. Available: http://dx.doi.org/10.1007/s11263-019-01158-4
2019
Earlier work this paper cites.
D. Kollias, A. Schulc, E. Hajiyev, and S. Zafeiriou, “Analysing affective behavior in the first abaw 2020 competition,” in 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)(FG) , pp. 794–800
2020
Cited alongside, same era.
D. Kollias, V. Sharmanska, and S. Zafeiriou, “Face behavior a la carte: Expressions, affect and action units in a single network,” 2020
2020
Cited alongside, same era.
F. Kuhnke, L. Rumberg, and J. Ostermann, “Two-stream aural-visual affect analysis in the wild,” 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) , Nov 2020. [Online]. Available: http://dx.doi.org/10.1109/FG47880.2020.00056
2020
Cited alongside, same era.
D. Kollias and S. Zafeiriou, “Analysing affective behavior in the second abaw2 competition,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2021, pp. 3652–3660
2021
Cited alongside, same era.
D. Kollias and S. Zafeiriou, “Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework,” 2021
2021
Later among the works it cites.
G. M. Jacob and B. Stenger, “Facial action unit detection with transformers,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021, pp. 7680–7689
2021
Later among the works it cites.
Z. Zhao and Q. Liu, “Former-dfer: Dynamic facial expression recognition transformer,” in Proceedings of the 29th ACM International Conference on Multimedia , 2021, pp. 1553–1561
2021
Later among the works it cites.
2021
Later among the works it cites.
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D. Kollias, V. Sharmanska, and S. Zafeiriou, “Distribution matching for heterogeneous multi-task learning: a large-scale face study,” 2021
2021
Cited alongside, same era.
2022
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