Fetching the paper…
Reading the bibliography…
Numerous models describing the human emotional states have been built by the psychology community.
Constants across cultures in the face and emotion
Paul Ekman and Wallace V Friesen · 1971
Earlier work this paper cites.
Measuring facial movement
Paul Ekman and Wallace V Friesen · 1976
Earlier work this paper cites.
A circumplex model of affect
James A Russell · 1980
Earlier work this paper cites.
Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in temperament
Albert Mehrabian · 1996
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark
Abhinav Dhall, Roland Goecke, Simon Lucey, and Tom Gedeon · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
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.
Compound facial expressions of emotion
Shichuan Du, Yong Tao, and Aleix M Martinez · 2014
Cited alongside, same era.
Adam: Amethod for stochastic optimization
Diederik P Kingma and Jimmy Lei Ba · 2014
Cited alongside, same era.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
Cited alongside, same era.
Do deep neural networks learn facial action units when doing expression recognition?
Pooya Khorrami, Thomas Paine, and Thomas Huang · 2015
Cited alongside, same era.
Deep learning for emotion recognition on small datasets using transfer learning
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Later among the works it cites.
Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham W Taylor · 2017
Later among the works it cites.
Reliable crowdsourcing and deep locality-preserving learning for expression recognition in the wild
Shan Li, Weihong Deng, and JunPing Du · 2017
Later among the works it cites.
Affectnet: A database for facial expression, valence, and arousal computing in the wild
Ali Mollahosseini, Behzad Hasani, and Mohammad H Mahoor · 2017
Later among the works it cites.
Covariance pooling for facial expression recognition
Dinesh Acharya, Zhiwu Huang, Danda Pani Paudel, and Luc Van Gool · 2018
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Hong-Wei Ng, Viet Dung Nguyen, Vassilios Vonikakis, and Stefan Winkler · 2015
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.
Chieh-Ming Kuo, Shang-Hong Lai, and Michel Sarkis · 2018
Closest in time.
Gerard Pons and David Masip · 2018
Closest in time.