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Over the past few years many research efforts have been devoted to the field of affect analysis.
Robust estimation of a location parameter
P. J. Huber et al · 1964
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Facial action coding system
P. Ekman and W. V. Friesen · 1977
Earlier work this paper cites.
Evidence of convergent validity on the dimensions of affect
J. A. Russell · 1978
Earlier work this paper cites.
Emotion: A psychoevolutionary synthesis
R. Plutchik · 1980
Earlier work this paper cites.
The dictionary of affect in language, emotion: Theory, research and experience: vol. 4, the measurement of emotions, r
C. Whissel · 1989
Earlier work this paper cites.
Multitask learning
R. Caruana · 1997
Earlier work this paper cites.
Broadcast news parsing using visual cues: A robust face detection approach
Y. Avrithis, N. Tsapatsoulis, and S. Kollias · 2000
Earlier work this paper cites.
Handbook of cognition and emotion
T. Dalgleish and M. Power · 2000
Earlier work this paper cites.
Recognizing action units for facial expression analysis
Y.-l. Tian, T. Kanade, and J. F. Cohn · 2001
Earlier work this paper cites.
Describing the emotional states that are expressed in speech
R. Cowie and R. R. Cornelius · 2003
Earlier work this paper cites.
Web-based database for facial expression analysis
M. Pantic, M. Valstar, R. Rademaker, and L. Maat · 2005
Earlier work this paper cites.
A 3d facial expression database for facial behavior research
L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato · 2006
Earlier work this paper cites.
Learning generative models via discriminative approaches
Z. Tu · 2007
Earlier work this paper cites.
A high-resolution 3d dynamic facial expression database
L. Yin, X. Chen, Y. Sun, T. Worm, and M. Reale · 2008
Earlier work this paper cites.
Multi-pie
R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker · 2010
Earlier work this paper cites.
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
Cited alongside, same era.
Induced disgust, happiness and surprise: an addition to the mmi facial expression database
M. Valstar and M. Pantic · 2010
Cited alongside, same era.
Empirical evaluation of gated recurrent neural networks on sequence modeling
J. Chung, C. Gulcehre, K. Cho, and Y. Bengio · 2014
Cited alongside, same era.
Unsupervised domain adaptation by backpropagation
Y. Ganin and V. Lempitsky · 2014
Cited alongside, same era.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Cited alongside, same era.
Recognition of affect in the wild using deep neural networks
D. Kollias, M. A. Nicolaou, I. Kotsia, G. Zhao, and S. Zafeiriou · 2017
Later among the works it cites.
Adaptation and contextualization of deep neural network models
D. Kollias, M. Yu, A. Tagaris, G. Leontidis, A. Stafylopatis, and S. Kollias · 2017
Later among the works it cites.
Assessment of parkinson’s disease based on deep neural networks
A. Tagaris, D. Kollias, and A. Stafylopatis · 2017
Later among the works it cites.
Aff-wild: Valence and arousal’in-the-wild’challenge
S. Zafeiriou, D. Kollias, M. A. Nicolaou, A. Papaioannou, G. Zhao, and I. Kotsia · 2017
Later among the works it cites.
Photorealistic facial synthesis in the dimensional affect space
D. Kollias, S. Cheng, M. Pantic, and S. Zafeiriou · 2018
Closest in time.
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Face detection without bells and whistles
M. Mathias, R. Benenson, M. Pedersoli, and L. Van Gool · 2014
Cited alongside, same era.
Distilling the knowledge in a neural network
G. Hinton, O. Vinyals, and J. Dean · 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.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
Cited alongside, same era.
Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
C. Corneanu, M. Oliu, J. Cohn, and S. Escalera · 2016
Cited alongside, same era.
On line emotion detection using retrainable deep neural networks
D. Kollias, A. Tagaris, and A. Stafylopatis · 2016
Cited alongside, same era.
D. Kollias, S. Cheng, E. Ververas, I. Kotsia, and S. Zafeiriou · 2018
Closest in time.
Deep neural architectures for prediction in healthcare
D. Kollias, A. Tagaris, A. Stafylopatis, S. Kollias, and G. Tagaris · 2018
Closest in time.
Aff-wild2: Extending the aff-wild database for affect recognition
D. Kollias and S. Zafeiriou · 2018
Closest in time.
A multi-component cnn-rnn approach for dimensional emotion recognition in-the-wild
D. Kollias and S. Zafeiriou · 2018
Closest in time.
Training deep neural networks with different datasets in-the-wild: The emotion recognition paradigm
D. Kollias and S. Zafeiriou · 2018
Closest in time.
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
Closest in time.
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
Closest in time.
D. Kollias and S. Zafeiriou · 2019
Closest in time.
Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
D. Kollias and S. Zafeiriou · 2019
Closest in time.