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Automatic understanding of human affect using visual signals is a problem that has attracted significant interest over the past 20 years.
Evidence of convergent validity on the dimensions of affect
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R. Plutchik · 1980
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The dictionary of affect in language, emotion: Theory, research and experience: vol. 4, the measurement of emotions, r
C. Whissel · 1989
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Broadcast news parsing using visual cues: A robust face detection approach
Y. Avrithis, N. Tsapatsoulis, and S. Kollias · 2000
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’feeltrace’: An instrument for recording perceived emotion in real time
R. Cowie, E. Douglas-Cowie, S. Savvidou*, E. McMahon, M. Sawey, and M. Schröder · 2000
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T. Dalgleish and M. Power · 2000
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Recognizing action units for facial expression analysis
Y.-l. Tian, T. Kanade, and J. F. Cohn · 2001
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Facial action coding system (facs)
P. Ekman · 2002
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Welcome to virtualdub. org!-virtualdub. org, 2002
A. Lee · 2002
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Describing the emotional states that are expressed in speech
R. Cowie and R. R. Cornelius · 2003
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Web-based database for facial expression analysis
M. Pantic, M. Valstar, R. Rademaker, and L. Maat · 2005
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A 3d facial expression database for facial behavior research
L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato · 2006
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The sensitive artificial listner: an induction technique for generating emotionally coloured conversation
E. Douglas-Cowie, R. Cowie, C. Cox, N. Amier, and D. K. Heylen · 2008
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A high-resolution 3d dynamic facial expression database
L. Yin, X. Chen, Y. Sun, T. Worm, and M. Reale · 2008
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Multi-pie
R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker · 2010
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The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression
P. Lucey, J. F. Cohn, T. Kanade, J. Saragih, Z. Ambadar, and I. Matthews · 2010
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Induced disgust, happiness and surprise: an addition to the mmi facial expression database
M. Valstar and M. Pantic · 2010
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Tracing emotion: an overview
R. Cowie, G. McKeown, and E. Douglas-Cowie · 2012
Cited alongside, same era.
Deap: A database for emotion analysis; using physiological signals
S. Koelstra, C. Muhl, M. Soleymani, J.-S. Lee, A. Yazdani, T. Ebrahimi, T. Pun, A. Nijholt, and I. Patras · 2012
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The semaine database: Annotated multimodal records of emotionally colored conversations between a person and a limited agent
G. McKeown, M. Valstar, R. Cowie, M. Pantic, and M. Schröder · 2012
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The belfast induced natural emotion database
I. Sneddon, M. McRorie, G. McKeown, and J. Hanratty · 2012
Cited alongside, same era.
A multimodal database for affect recognition and implicit tagging
M. Soleymani, J. Lichtenauer, T. Pun, and M. Pantic · 2012
Cited alongside, same era.
Introducing the recola multimodal corpus of remote collaborative and affective interactions
Avec 2017–real-life depression, and a ect recognition workshop and challenge
F. Ringeval, B. Schuller, M. Valstar, J. Gratch, R. Cowie, S. Scherer, S. Mozgai, N. Cummins, M. Schmi, and M. Pantic · 2017
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Assessment of parkinson’s disease based on deep neural networks
A. Tagaris, D. Kollias, and A. Stafylopatis · 2017
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Aff-wild: Valence and arousal ‘in-the-wild’challenge
S. Zafeiriou, D. Kollias, M. A. Nicolaou, A. Papaioannou, G. Zhao, and I. Kotsia · 2017
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Aff-wild: Valence and arousal’in-the-wild’challenge
S. Zafeiriou, D. Kollias, M. A. Nicolaou, A. Papaioannou, G. Zhao, and I. Kotsia · 2017
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Vggface2: A dataset for recognising faces across pose and age
Q. Cao, L. Shen, W. Xie, O. M. Parkhi, and A. Zisserman · 2018
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Photorealistic facial synthesis in the dimensional affect space
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F. Ringeval, A. Sonderegger, J. Sauer, and D. Lalanne · 2013
Cited alongside, same era.
Densenet: Implementing efficient convnet descriptor pyramids
F. Iandola, M. Moskewicz, S. Karayev, R. Girshick, T. Darrell, and K. Keutzer · 2014
Cited alongside, same era.
Computationally modeling human emotion
S. Marsella and J. Gratch · 2014
Cited alongside, same era.
Face detection without bells and whistles
M. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool · 2014
Cited alongside, same era.
Joint fine-tuning in deep neural networks for facial expression recognition
H. Jung, S. Lee, J. Yim, S. Park, and J. Kim · 2015
Cited alongside, same era.
Interweaving deep learning and semantic techniques for emotion analysis in human-machine interaction
D. Kollias, G. Marandianos, A. Raouzaiou, and A.-G. Stafylopatis · 2015
Cited alongside, same era.
Deep face recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
Cited alongside, same era.
D. Kollias, S. Cheng, M. Pantic, and S. Zafeiriou · 2018
Closest in time.
Generating faces for affect analysis
D. Kollias, S. Cheng, E. Ververas, I. Kotsia, and S. Zafeiriou · 2018
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Deep neural architectures for prediction in healthcare
D. Kollias, A. Tagaris, A. Stafylopatis, S. Kollias, and G. Tagaris · 2018
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Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond, 2018
D. Kollias, P. Tzirakis, M. A. Nicolaou, A. Papaioannou, G. Zhao, B. Schuller, I. Kotsia, and S. Zafeiriou · 2018
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A multi-component cnn-rnn approach for dimensional emotion recognition in-the-wild
D. Kollias and S. Zafeiriou · 2018
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A multi-task learning & generation framework: Valence-arousal, action units & primary expressions
D. Kollias and S. Zafeiriou · 2018
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Training deep neural networks with different datasets in-the-wild: The emotion recognition paradigm
D. Kollias and S. Zafeiriou · 2018
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Machine learning for neurodegenerative disorder diagnosis—survey of practices and launch of benchmark dataset
A. Tagaris, D. Kollias, A. Stafylopatis, G. Tagaris, and S. Kollias · 2018
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Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
D. Kollias, P. Tzirakis, M. A. Nicolaou, A. Papaioannou, G. Zhao, B. Schuller, I. Kotsia, and S. Zafeiriou · 2019
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D. Kollias and S. Zafeiriou · 2019
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Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
D. Kollias and S. Zafeiriou · 2019
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