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Action Unit (AU) Detection is the branch of affective computing that aims at recognizing unitary facial muscular movements.
What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS)
Rosenberg Ekman · 1997
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Disfa: A spontaneous facial action intensity database
S Mohammad Mavadati, Mohammad H Mahoor, Kevin Bartlett, Philip Trinh, and Jeffrey F Cohn · 2013
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A high-resolution spontaneous 3d dynamic facial expression database
Xing Zhang, Lijun Yin, Jeffrey F Cohn, Shaun Canavan, Michael Reale, Andy Horowitz, and Peng Liu · 2013
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Deep region and multi-label learning for facial action unit detection
Kaili Zhao, Wen-Sheng Chu, and Honggang Zhang · 2016
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Eac-net: A region-based deep enhancing and cropping approach for facial action unit detection
Wei Li, Farnaz Abtahi, Zhigang Zhu, and Lijun Yin · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 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
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Deep structure inference network for facial action unit recognition
Ciprian Corneanu, Meysam Madadi, and Sergio Escalera · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Deep adaptive attention for joint facial action unit detection and face alignment
Zhiwen Shao, Zhilei Liu, Jianfei Cai, and Lizhuang Ma · 2018
Cited alongside, same era.
mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, and David Lopez-Paz · 2018
Cited alongside, same era.
Face behavior a la carte: Expressions, affect and action units in a single network
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A Nicolaou, Athanasios Papaioannou, Guoying Zhao, Björn Schuller, Irene Kotsia, and Stefanos Zafeiriou · 2019
Cited alongside, same era.
Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
Dimitrios Kollias and Stefanos Zafeiriou · 2019
Facial action unit detection with transformers
Geethu Miriam Jacob and Bjorn Stenger · 2021
Later among the works it cites.
Distribution matching for heterogeneous multi-task learning: a large-scale face study
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2021
Later among the works it cites.
Affect analysis in-the-wild: Valence-arousal, expressions, action units and a unified framework
Dimitrios Kollias and Stefanos Zafeiriou · 2021
Later among the works it cites.
Analysing affective behavior in the second abaw2 competition
Dimitrios Kollias and Stefanos Zafeiriou · 2021
Later among the works it cites.
Query2label: A simple transformer way to multi-label classification
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, and Jun Zhu · 2021
Later among the works it cites.
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Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
Cited alongside, same era.
Local relationship learning with person-specific shape regularization for facial action unit detection
Xuesong Niu, Hu Han, Songfan Yang, Yan Huang, and Shiguang Shan · 2019
Cited alongside, same era.
Facial action unit detection using attention and relation learning
Zhiwen Shao, Zhilei Liu, Jianfei Cai, Yunsheng Wu, and Lizhuang Ma · 2019
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Analysing affective behavior in the first abaw 2020 competition
D Kollias, A Schulc, E Hajiyev, and S Zafeiriou · 2020
Cited alongside, same era.
Jaa-net: Joint facial action unit detection and face alignment via adaptive attention
Zhiwen Shao, Zhilei Liu, Jianfei Cai, and Lizhuang Ma · 2021
Later among the works it cites.
Hybrid message passing with performance-driven structures for facial action unit detection
Tengfei Song, Zijun Cui, Wenming Zheng, and Qiang Ji · 2021
Later among the works it cites.
Dimitrios Kollias · 2022
Closest in time.
Multi-order networks for action unit detection
Gauthier Tallec, Arnaud Dapogny, and Kevin Bailly · 2022
Closest in time.