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Over the past few years, deep learning methods have shown remarkable results in many face-related tasks including automatic facial expression recognition (FER) in-the-wild.
The proof and measurement of association between two things
C. Spearman · 1961
Earlier work this paper cites.
Constants across cultures in the face and emotion
P. Ekman and W. V. Friesen · 1971
Earlier work this paper cites.
A circumplex model of affect
J. A. Russell · 1980
Earlier work this paper cites.
More evidence for the universality of a contempt expression
D. Matsumoto · 1992
Earlier work this paper cites.
Strong evidence for universals in facial expressions: a reply to russell’s mistaken critique
P. Ekman · 1994
Earlier work this paper cites.
Multitask learning
R. Caruana · 1997
Earlier work this paper cites.
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition
C. Liu and H. Wechsler · 2002
Earlier work this paper cites.
Facial expression recognition based on local binary patterns: A comprehensive study
C. Shan, S. Gong, and P. W. McOwan · 2009
Earlier work this paper cites.
Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark
A. Dhall, R. Goecke, S. Lucey, and T. Gedeon · 2011
Earlier work this paper cites.
Local binary patterns for multi-view facial expression recognition
S. Moore and R. Bowden · 2011
Earlier work this paper cites.
Continuous prediction of spontaneous affect from multiple cues and modalities in valence-arousal space
M. A. Nicolaou, H. Gunes, and M. Pantic · 2011
Earlier work this paper cites.
The first facial expression recognition and analysis challenge
M. F. Valstar, B. Jiang, M. Mehu, M. Pantic, and K. Scherer · 2011
Earlier work this paper cites.
Challenges in representation learning: A report on three machine learning contests
I. J. Goodfellow, D. Erhan, P. L. Carrier, A. Courville, M. Mirza, B. Hamner, W. Cukierski, Y. Tang, D. Thaler, D.-H. Lee, et al · 2013
Earlier work this paper cites.
Rectifier nonlinearities improve neural network acoustic models
A. L. Maas, A. Y. Hannun, and A. Y. Ng · 2013
Earlier work this paper cites.
Towards personalised gaming via facial expression recognition
P. M. Blom, S. Bakkes, C. Tan, S. Whiteson, D. Roijers, R. Valenti, and T. Gevers · 2014
Earlier work this paper cites.
Multi-label image classification with a probabilistic label enhancement model
X. Li, F. Zhao, and Y. Guo · 2014
Earlier work this paper cites.
Predicting ad liking and purchase intent: Large-scale analysis of facial responses to ads
D. McDuff, R. El Kaliouby, J. F. Cohn, and R. W. Picard · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. D. Manning · 2014
Earlier work this paper cites.
Overfeat: Integrated recognition, localization and detection using convolutional networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2014
Earlier work this paper cites.
Facial expression recognition and histograms of oriented gradients: a comprehensive study
P. Carcagnì, M. Del Coco, M. Leo, and C. Distante · 2015
Earlier work this paper cites.
The expression of the emotions in man and animals
C. Darwin · 2015
Earlier work this paper cites.
Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
D. Eigen and R. Fergus · 2015
Cited alongside, same era.
Hierarchical committee of deep cnns with exponentially-weighted decision fusion for static facial expression recognition
B.-K. Kim, H. Lee, J. Roh, and S.-Y. Lee · 2015
Cited alongside, same era.
Image based static facial expression recognition with multiple deep network learning
Z. Yu and C. Zhang · 2015
Cited alongside, same era.
Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
C. A. Corneanu, M. O. Simón, J. F. Cohn, and S. E. Guerrero · 2016
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, R. Srinivasan, and A. M. Martinez · 2016
Cited alongside, same era.
Island loss for learning discriminative features in facial expression recognition
J. Cai, Z. Meng, A. S. Khan, Z. Li, J. O’Reilly, and Y. Tong · 2018
Later among the works it cites.
Signed graph convolutional networks
T. Derr, Y. Ma, and J. Tang · 2018
Later among the works it cites.
Cake: Compact and accurate k-dimensional representation of emotion
C. Kervadec, V. Vielzeuf, S. Pateux, A. Lechervy, and F. Jurie · 2018
Later among the works it cites.
Deeper insights into graph convolutional networks for semi-supervised learning
Q. Li, Z. Han, and X.-M. Wu · 2018
Later among the works it cites.
Reliable crowdsourcing and deep locality-preserving learning for unconstrained facial expression recognition
S. Li and W. Deng · 2018
Later among the works it cites.
Occlusion aware facial expression recognition using cnn with attention mechanism
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Conditional graphical lasso for multi-label image classification
Q. Li, M. Qiao, W. Bian, and D. Tao · 2016
Cited alongside, same era.
Fatauva-net: An integrated deep learning framework for facial attribute recognition, action unit detection, and valence-arousal estimation
W.-Y. Chang, S.-H. Hsu, and J.-H. Chien · 2017
Cited alongside, same era.
Facenet2expnet: Regularizing a deep face recognition net for expression recognition
H. Ding, S. K. Zhou, and R. Chellappa · 2017
Cited alongside, same era.
From hard to soft: Towards more human-like emotion recognition by modelling the perception uncertainty
J. Han, Z. Zhang, M. Schmitt, M. Pantic, and B. Schuller · 2017
Cited alongside, same era.
Learning supervised scoring ensemble for emotion recognition in the wild
P. Hu, D. Cai, S. Wang, A. Yao, and Y. Chen · 2017
Cited alongside, same era.
Densely connected convolutional networks
G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger · 2017
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
T. N. Kipf and M. Welling · 2017
Cited alongside, same era.
Y. Li, J. Zeng, S. Shan, and X. Chen · 2018
Later among the works it cites.
Facial expression recognition with inconsistently annotated datasets
J. Zeng, S. Shan, and X. Chen · 2018
Later among the works it cites.
Facial motion prior networks for facial expression recognition
Y. Chen, J. Wang, S. Chen, Z. Shi, and J. Cai · 2019
Later among the works it cites.
Multi-label image recognition with graph convolutional networks
Z.-M. Chen, X.-S. Wei, P. Wang, and Y. Guo · 2019
Later among the works it cites.
Fusing body posture with facial expressions for joint recognition of affect in child–robot interaction
P. P. Filntisis, N. Efthymiou, P. Koutras, G. Potamianos, and P. Maragos · 2019
Later among the works it cites.
Local learning with deep and handcrafted features for facial expression recognition
M.-I. Georgescu, R. T. Ionescu, and M. Popescu · 2019
Later among the works it cites.
Facial expression recognition using deep siamese neural networks with a supervised loss function
W. Hayale, P. Negi, and M. Mahoor · 2019
Later among the works it cites.
Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface
D. Kollias and S. Zafeiriou · 2019
Later among the works it cites.
Two-level attention with two-stage multi-task learning for facial emotion recognition
W. Xiaohua, P. Muzi, P. Lijuan, H. Min, J. Chunhua, and R. Fuji · 2019
Later among the works it cites.
Multi-label image recognition with graph convolutional networks
Z.-M. Chen, X.-S. Wei, P. Wang, and Y. Guo · 2019
Later among the works it cites.
B. T. Atmaja and M. Akagi · 2020
Later among the works it cites.
Occlusion-adaptive deep network for robust facial expression recognition
H. Ding, P. Zhou, and R. Chellappa · 2020
Later among the works it cites.
Breg-next: Facial affect computing using adaptive residual networks with bounded gradient
B. Hasani, P. S. Negi, and M. Mahoor · 2020
Later among the works it cites.
Deep facial expression recognition: A survey
S. Li and W. Deng · 2020
Later among the works it cites.
Suppressing uncertainties for large-scale facial expression recognition
K. Wang, X. Peng, J. Yang, S. Lu, and Y. Qiao · 2020
Later among the works it cites.
Region attention networks for pose and occlusion robust facial expression recognition
K. Wang, X. Peng, J. Yang, D. Meng, and Y. Qiao · 2020
Later among the works it cites.