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Affective computing has been largely limited in terms of available data resources.
Evidence of convergent validity on the dimensions of affect
James A Russell · 1978
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The dictionary of affect in language, emotion: Theory, research and experience: vol. 4, the measurement of emotions, r
CM Whissel · 1989
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The japanese female facial expression (jaffe) database
Michael J Lyons, Shigeru Akamatsu, Miyuki Kamachi, Jiro Gyoba, and Julien Budynek · 1998
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’feeltrace’: An instrument for recording perceived emotion in real time
Roddy Cowie, Ellen Douglas-Cowie, Susie Savvidou*, Edelle McMahon, Martin Sawey, and Marc Schröder · 2000
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Handbook of cognition and emotion
Tim Dalgleish and Mick Power · 2000
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Recognizing action units for facial expression analysis
Ying-li Tian, Takeo Kanade, and Jeffrey F Cohn · 2001
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Facial action coding system (facs)
Paul Ekman · 2002
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Describing the emotional states that are expressed in speech
Roddy Cowie and Randolph R Cornelius · 2003
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Learning a similarity metric discriminatively, with application to face verification
Sumit Chopra, Raia Hadsell, Yann LeCun, et al · 2005
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Web-based database for facial expression analysis
Maja Pantic, Michel Valstar, Ron Rademaker, and Ludo Maat · 2005
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A 3d facial expression database for facial behavior research
Lijun Yin, Xiaozhou Wei, Yi Sun, Jun Wang, and Matthew J Rosato · 2006
Earlier work this paper cites.
A high-resolution 3d dynamic facial expression database
Lijun Yin, Xiaochen Chen, Yi Sun, Tony Worm, and Michael Reale · 2008
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The mug facial expression database
Niki Aifanti, Christos Papachristou, and Anastasios Delopoulos · 2010
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Multi-pie
Ralph Gross, Iain Matthews, Jeffrey Cohn, Takeo Kanade, and Simon Baker · 2010
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The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression
Patrick Lucey, Jeffrey F Cohn, Takeo Kanade, Jason Saragih, Zara Ambadar, and Iain Matthews · 2010
Earlier work this paper cites.
Induced disgust, happiness and surprise: an addition to the mmi facial expression database
Michel Valstar and Maja Pantic · 2010
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The semaine database: Annotated multimodal records of emotionally colored conversations between a person and a limited agent
Gary McKeown, Michel Valstar, Roddy Cowie, Maja Pantic, and Marc Schroder · 2011
Cited alongside, same era.
Challenges in representation learning: A report on three machine learning contests
Ian J Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, et al · 2013
Cited alongside, same era.
Disfa: A spontaneous facial action intensity database
S Mohammad Mavadati, Mohammad H Mahoor, Kevin Bartlett, Philip Trinh, and Jeffrey F Cohn · 2013
Cited alongside, same era.
Introducing the recola multimodal corpus of remote collaborative and affective interactions
Fabien Ringeval, Andreas Sonderegger, Jens Sauer, and Denis Lalanne · 2013
Cited alongside, same era.
Indian movie face database: a benchmark for face recognition under wide variations
Shankar Setty, Moula Husain, Parisa Beham, Jyothi Gudavalli, Menaka Kandasamy, Radhesyam Vaddi, Vidyagouri Hemadri, JC Karure, Raja Raju, B Rajan, et al · 2013
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
Later among the works it cites.
Recognition of affect in the wild using deep neural networks
Dimitrios Kollias, Mihalis A Nicolaou, Irene Kotsia, Guoying Zhao, and Stefanos Zafeiriou · 2017
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Afew-va database for valence and arousal estimation in-the-wild
Jean Kossaifi, Georgios Tzimiropoulos, Sinisa Todorovic, and Maja Pantic · 2017
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Sphereface: Deep hypersphere embedding for face recognition
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song · 2017
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Affectnet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor · 2017
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Cited alongside, same era.
Compound facial expressions of emotion
Shichuan Du, Yong Tao, and Aleix M Martinez · 2014
Cited alongside, same era.
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
Cited alongside, same era.
The mahnob mimicry database: A database of naturalistic human interactions
Sanjay Bilakhia, Stavros Petridis, Anton Nijholt, and Maja Pantic · 2015
Cited alongside, same era.
Deep metric learning using triplet network
Elad Hoffer and Nir Ailon · 2015
Cited alongside, same era.
Deep face recognition
Omkar M Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
Cited alongside, same era.
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.
Discriminant multi-label manifold embedding for facial action unit detection
Anıl Yüce, Hua Gao, and Jean-Philippe Thiran · 2015
Cited alongside, same era.
SSH: Single stage headless face detector
Mahyar Najibi, Pouya Samangouei, Rama Chellappa, and Larry Davis · 2017
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Avec 2017–real-life depression, and affect recognition workshop and challenge
Fabien Ringeval, Björn Schuller, Michel Valstar, Jonathan Gratch, Roddy Cowie, Stefan Scherer, Sharon Mozgai, Nicholas Cummins, Maximilian Schmi, and Maja Pantic · 2017
Later among the works it cites.
Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A Alemi · 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.
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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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2018
Later among the works it cites.
Training deep neural networks with different datasets in-the-wild: The emotion recognition paradigm
Dimitrios Kollias and Stefanos Zafeiriou · 2018
Later among the works it cites.
Cosface: Large margin cosine loss for deep face recognition
Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, and Wei Liu · 2018
Later among the works it cites.
Local learning with deep and handcrafted features for facial expression recognition
Mariana-Iuliana Georgescu, Radu Tudor Ionescu, and Marius Popescu · 2019
Closest in time.
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
Closest in time.