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Automatic facial behavior analysis has a long history of studies in the intersection of computer vision, physiology and psychology.
Constants across cultures in the face and emotion
Paul Ekman and Wallace V Friesen · 1971
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Multitask learning
Rich Caruana · 1997
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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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Handbook of cognition and emotion
Tim Dalgleish and Mick Power · 2000
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Describing the emotional states that are expressed in speech
Roddy Cowie and Randolph R Cornelius · 2003
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Multi-task feature learning
Andreas Argyriou, Theodoros Evgeniou, and Massimiliano Pontil · 2007
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A survey on transfer learning
Sinno Jialin Pan and Qiang Yang · 2010
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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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Compound facial expressions of emotion
Shichuan Du, Yong Tao, and Aleix M Martinez · 2014
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Decorrelating semantic visual attributes by resisting the urge to share
Dinesh Jayaraman, Fei Sha, and Kristen Grauman · 2014
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Bp4d-spontaneous: a high-resolution spontaneous 3d dynamic facial expression database
Xing Zhang, Lijun Yin, Jeffrey F Cohn, Shaun Canavan, Michael Reale, Andy Horowitz, Peng Liu, and Jeffrey M Girard · 2014
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Cross-dataset learning and person-specific normalisation for automatic action unit detection
Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson · 2015
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Do deep neural networks learn facial action units when doing expression recognition?
Pooya Khorrami, Thomas Paine, and Thomas Huang · 2015
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Emotion categories and dimensions in the facial communication of affect: An integrated approach
Marc Mehu and Klaus R Scherer · 2015
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Deep face recognition
Omkar M Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
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From emotions to action units with hidden and semi-hidden-task learning
Adria Ruiz, Joost Van de Weijer, and Xavier Binefa · 2015
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Fera 2015-second facial expression recognition and analysis challenge
Michel F Valstar, Timur Almaev, Jeffrey M Girard, Gary McKeown, Marc Mehu, Lijun Yin, Maja Pantic, and Jeffrey F Cohn · 2015
Cited alongside, same era.
Holistic 3d scene understanding from a single geo-tagged image
Shenlong Wang, Sanja Fidler, and Raquel Urtasun · 2015
Cited alongside, same era.
Discriminant multi-label manifold embedding for facial action unit detection
Anıl Yüce, Hua Gao, and Jean-Philippe Thiran · 2015
Cited alongside, same era.
Emotionet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild
C.F. Benitez-Quiroz, R. Srinivasan, and A.M. Martinez · 2016
Cited alongside, same era.
Emotionet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild
C Fabian Benitez-Quiroz, Ramprakash Srinivasan, and Aleix M Martinez · 2016
Cited alongside, same era.
SSH: Single stage headless face detector
Mahyar Najibi, Pouya Samangouei, Rama Chellappa, and Larry Davis · 2017
Later among the works it cites.
An all-in-one convolutional neural network for face analysis
Rajeev Ranjan, Swami Sankaranarayanan, Carlos D Castillo, and Rama Chellappa · 2017
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View-independent facial action unit detection
Chuangao Tang, Wenming Zheng, Jingwei Yan, Qiang Li, Yang Li, Tong Zhang, and Zhen Cui · 2017
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Fera 2017-addressing head pose in the third facial expression recognition and analysis challenge
Michel F Valstar, Enrique Sánchez-Lozano, Jeffrey F Cohn, László A Jeni, Jeffrey M Girard, Zheng Zhang, Lijun Yin, and Maja Pantic · 2017
Later among the works it cites.
Expression-assisted facial action unit recognition under incomplete au annotation
Shangfei Wang, Quan Gan, and Qiang Ji · 2017
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Multi-task deep neural network for joint face recognition and facial attribute prediction
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Multiple facial action unit recognition enhanced by facial expressions
Jiajia Yang, Shan Wu, Shangfei Wang, and Qiang Ji · 2016
Cited alongside, same era.
Wider face: A face detection benchmark
Shuo Yang, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2016
Cited alongside, same era.
Multimodal spontaneous emotion corpus for human behavior analysis
Zheng Zhang, Jeff M Girard, Yue Wu, Xing Zhang, Peng Liu, Umur Ciftci, Shaun Canavan, Michael Reale, Andy Horowitz, Huiyuan Yang, et al · 2016
Cited alongside, same era.
Emotionet challenge: Recognition of facial expressions of emotion in the wild
C Fabian Benitez-Quiroz, Ramprakash Srinivasan, Qianli Feng, Yan Wang, and Aleix M Martinez · 2017
Cited alongside, same era.
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
Cited alongside, same era.
From individual to group-level emotion recognition: Emotiw 5.0
Abhinav Dhall, Roland Goecke, Shreya Ghosh, Jyoti Joshi, Jesse Hoey, and Tom Gedeon · 2017
Cited alongside, same era.
Facial action recognition using very deep networks for highly imbalanced class distribution
Wan Ding, Dong-Yan Huang, Zhuo Chen, Xinguo Yu, and Weisi Lin · 2017
Cited alongside, same era.
Zhanxiong Wang, Keke He, Yanwei Fu, Rui Feng, Yu-Gang Jiang, and Xiangyang Xue · 2017
Later among the works it 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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A survey on multi-task learning
Yu Zhang and Qiang Yang · 2017
Later among the works it cites.
Emotiw 2018: Audio-video, student engagement and group-level affect prediction
Abhinav Dhall, Amanjot Kaur, Roland Goecke, and Tom Gedeon · 2018
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Aff-wild2: Extending the aff-wild database for affect recognition
Dimitrios Kollias and Stefanos Zafeiriou · 2018
Later among the works it cites.
A multi-task learning & generation framework: Valence-arousal, action units & primary expressions
Dimitrios Kollias and Stefanos Zafeiriou · 2018
Later among the works it cites.
Two-level attention with two-stage multi-task learning for facial emotion recognition
Xiaohua Wang, Muzi Peng, Lijuan Pan, Min Hu, Chunhua Jin, and Fuji Ren · 2018
Later among the works it cites.
Taskonomy: Disentangling task transfer learning
Amir R Zamir, Alexander Sax, William Shen, Leonidas J Guibas, Jitendra Malik, and Silvio Savarese · 2018
Later among the works it cites.
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
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Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
Dimitrios Kollias and Stefanos Zafeiriou · 2019
Closest in time.
Analysing affective behavior in the first abaw 2020 competition
Dimitrios Kollias, Attila Schulc, Elnar Hajiyev, and Stefanos Zafeiriou · 2020
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