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The Facial Action Coding System (FACS) encodes the action units (AUs) in facial images, which has attracted extensive research attention due to its wide use in facial expression analysis.
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Adaptive Multimodal Fusion for Facial Action Units Recognition. In ACM MM . 2982–2990
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Facial expression recognition based on a multi-task global-local network
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Local Global Relational Network for Facial Action Units Recognition. In IEEE International Conference on Automatic Face and Gesture Recognition . IEEE, 01–08
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EEG emotion recognition using dynamical graph convolutional neural networks
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Spatial temporal graph convolutional networks for skeleton-based action recognition. In AAAI
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Classifier learning with prior probabilities for facial action unit recognition. In IEEE CVPR . 5108–5116
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Semantic relationships guided representation learning for facial action unit recognition. In AAAI . 8594–8601
Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, and Liang Lin. 2019 · 2019
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Multi-modality empowered network for facial action unit detection. In IEEE WACV . 2175–2184
Peng Liu, Zheng Zhang, Huiyuan Yang, and Lijun Yin. 2019 · 2019
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Swin transformer: Hierarchical vision transformer using shifted windows. In IEEE ICCV . 10012–10022
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JAA-Net: joint facial action unit detection and face alignment via adaptive attention
Zhiwen Shao, Zhilei Liu, Jianfei Cai, and Lizhuang Ma. 2021 · 2021
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PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net with Discrete Feedback Learning. In IEEE ICCV . 12899–12908
Yang Tang, Wangding Zeng, Dafei Zhao, and Honggang Zhang. 2021 · 2021
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Dual Learning for Joint Facial Landmark Detection and Action Unit Recognition
Shangfei Wang, Yanan Chang, and Can Wang. 2021 · 2021
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Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection. In IEEE CVPR . 10482–10491
Huiyuan Yang, Lijun Yin, Yi Zhou, and Jiuxiang Gu. 2021 · 2021
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Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition
Liangfei Zhang, Xiaopeng Hong, Ognjen Arandjelovic, and Guoying Zhao. 2021b · 2021
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GeoConv: Geodesic guided convolution for facial action unit recognition
Yuedong Chen, Guoxian Song, Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, and Jianmin Zheng. 2022b · 2022
Closest in time.
Data-aware relation learning-based graph convolution neural network for facial action unit recognition
Xibin Jia, Yuhan Zhou, Weiting Li, Jinghua Li, and Baocai Yin. 2022 · 2022
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Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition. In IJCAI . 1239–1246
Cheng Luo, Siyang Song, Weicheng Xie, Linlin Shen, and Hatice Gunes. 2022 · 2022
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Multi-order networks for action unit detection
Gauthier Tallec, Arnaud Dapogny, and Kevin Bailly. 2022 · 2022
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Biomechanics-guided Facial Action Unit Detection through Force Modeling. In CVPR . 8694–8703
Zijun Cui, Chenyi Kuang, Tian Gao, Kartik Talamadupula, and Qiang Ji. 2023 · 2023
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ALGRNet: Multi-Relational Adaptive Facial Action Unit Modelling for Face Representation and Relevant Recognitions
Xuri Ge, Joemon M Jose, Pengcheng Wang, Arunachalam Iyer, Xiao Liu, and Hu Han. 2023 · 2023
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A novel dual-channel graph convolutional neural network for facial action unit recognition
Xibin Jia, Shaowu Xu, Yuhan Zhou, Luo Wang, and Weiting Li. 2023 · 2023
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Contrastive Learning of Person-independent Representations for Facial Action Unit Detection
Yong Li and Shiguang Shan. 2023 · 2023
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MMA-Net: Multi-view Mixed Attention Mechanism for Facial Action Unit Detection
Ziqiao Shang, Congju Du, Bingyin Li, Zengqiang Yan, and Li Yu. 2023 · 2023
Closest in time.