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The continuous improvement of human-computer interaction technology makes it possible to compute emotions.
Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament
Albert Mehrabian · 1996
Earlier work this paper cites.
Sift: Predicting amino acid changes that affect protein function
Pauline C Ng and Steven Henikoff · 2003
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Histograms of oriented gradients for human detection
Navneet Dalal and Bill Triggs · 2005
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Facial expression recognition based on local binary patterns: A comprehensive study
Caifeng Shan, Shaogang Gong, and Peter W McOwan · 2009
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Recognizing emotions conveyed by human gait
Gentiane Venture, Hideki Kadone, Tianxiang Zhang, Julie Grèzes, Alain Berthoz, and Halim Hicheur · 2014
Earlier work this paper cites.
The geneva minimalistic acoustic parameter set (gemaps) for voice research and affective computing
Florian Eyben, Klaus R Scherer, Björn W Schuller, Johan Sundberg, Elisabeth André, Carlos Busso, Laurence Y Devillers, Julien Epps, Petri Laukka, Shrikanth S Narayanan, et al · 2015
Earlier work this paper cites.
Hierarchical committee of deep cnns with exponentially-weighted decision fusion for static facial expression recognition
Bo-Kyeong Kim, Hwaran Lee, Jihyeon Roh, and Soo-Young Lee · 2015
Earlier work this paper cites.
Body expression recognition from animated 3d skeleton
Arthur Crenn, Rizwan Ahmed Khan, Alexandre Meyer, and Saida Bouakaz · 2016
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Snore sound classification using image-based deep spectrum features
Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Michael Freitag, Sergey Pugachevskiy, Alice Baird, and Björn Schuller · 2017
Earlier work this paper cites.
Facenet2expnet: Regularizing a deep face recognition net for expression recognition
Hui Ding, Shaohua Kevin Zhou, and Rama Chellappa · 2017
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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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Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
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Face behavior a la carte: Expressions, affect and action units in a single network
Dimitrios Kollias, Viktoriia Sharmanska, and Stefanos Zafeiriou · 2019
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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
Proxemo: Gait-based emotion learning and multi-view proxemic fusion for socially-aware robot navigation
Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala, Dinesh Manocha, and Aniket Bera · 2020
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Suppressing uncertainties for large-scale facial expression recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang, Shijian Lu, and Yu Qiao · 2020
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Region attention networks for pose and occlusion robust facial expression recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang, Debin Meng, and Yu Qiao · 2020
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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
Dimitrios Kollias and Stefanos Zafeiriou · 2021
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Identifying emotions from walking using affective and deep features
Tanmay Randhavane, Uttaran Bhattacharya, Kyra Kapsaskis, Kurt Gray, Aniket Bera, and Dinesh Manocha · 2019
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Step: Spatial temporal graph convolutional networks for emotion perception from gaits
Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra, Tanmay Randhavane, Aniket Bera, and Dinesh Manocha · 2020
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Occlusion-adaptive deep network for robust facial expression recognition
Hui Ding, Peng Zhou, and Rama Chellappa · 2020
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Breg-next: Facial affect computing using adaptive residual networks with bounded gradient
Behzad Hasani, Pooran Singh Negi, and Mohammad H Mahoor · 2020
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Analysing affective behavior in the first abaw 2020 competition
D Kollias, A Schulc, E Hajiyev, and S Zafeiriou · 2020
Cited alongside, same era.
Later among the works it cites.
Analysing affective behavior in the second abaw2 competition
Dimitrios Kollias and Stefanos Zafeiriou · 2021
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Abaw: Learning from synthetic data & multi-task learning challenges
Dimitrios Kollias · 2022
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Abaw: Valence-arousal estimation, expression recognition, action unit detection & multi-task learning challenges
Dimitrios Kollias · 2022
Later among the works it cites.
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird, Alan Cowen, and Stefanos Zafeiriou · 2023
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