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Similarity-based neural network; Multidimensional perceptual scaling;
Facial expressions; Stable dynamic parameter adaptation; Nonlinear mapping
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Elsevier DOI
1103
Dynamic facial expression recognition; Feature subset selection;
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Wrapper technique
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1609
Facial expression recognition
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Elsevier DOI
1306
BibRef
Earlier:
Learning spatial weighting via quadratic programming for facial
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CVPR4HB10(86-93).
IEEE DOI
1006
Facial expression analysis; Quadratic programming; Expression
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BibRef
Zhang, W.[Wei],
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1507
Multimodal learning
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Unsupervised feature selection based on spectral regression from
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IET-CV(9), No. 5, 2015, pp. 655-662.
DOI Link
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emotion recognition
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IEEE DOI
1604
Data models
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Ren, F.,
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Automatic Facial Expression Learning Method Based on Humanoid Robot
XIN-REN,
HMS(46), No. 6, December 2016, pp. 810-821.
IEEE DOI
1612
control engineering computing
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Sun, Z.[Zhe],
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IET-CV(11), No. 8, December 2017, pp. 675-682.
DOI Link
1712
BibRef
Sun, Z.[Zhe],
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SIViP(12), No. 5, July 2018, pp. 835-843.
Springer DOI
1806
BibRef
Liu, Y.Y.[Yuan-Yuan],
Yuan, X.H.[Xiao-Hui],
Gong, X.[Xi],
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Conditional convolution neural network enhanced random forest for
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PR(84), 2018, pp. 251-261.
Elsevier DOI
1809
Classification, Feature extraction,
Facial expression recognition, Head pose alignment, Conditional CoNERF
BibRef
Li, T.H.[Tai-Hao],
Du, C.F.[Cui-Fen],
Naren, T.[Tuya],
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Liu, S.P.[Shu-Peng],
Zhou, J.S.[Jian-She],
Xu, X.Y.[Xiao-Yin],
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IET-IPR(12), No. 11, November 2018, pp. 1951-1955.
DOI Link
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BibRef
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Yan, H.B.[Hai-Bin],
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PR(75), No. 1, 2018, pp. 33-40.
Elsevier DOI
1712
Facial expression recognition
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Illumination invariants in deep video expression recognition,
PR(76), No. 1, 2018, pp. 25-35.
Elsevier DOI
1801
Deep learning
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Salmam, F.Z.[Fatima Zahra],
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PR(92), 2019, pp. 177-191.
Elsevier DOI
1905
Attention, Convolutional neural network,
Facial expression recognition,
Salient expressional region descriptor
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Xie, S.Y.[Si-Yue],
Hu, H.F.[Hai-Feng],
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Facial Expression Recognition With Two-Branch Disentangled Generative
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CirSysVideo(31), No. 6, June 2021, pp. 2359-2371.
IEEE DOI
2106
Face recognition, Feature extraction,
Generative adversarial networks, Task analysis, Generators,
Two-branch Disentangled Generative Adversarial Network
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Chen, J.Y.[Jing-Ying],
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PRL(125), 2019, pp. 105-112.
Elsevier DOI
1909
Facial expression recognition, Convolutional neural network,
Soft label, Label-level perturbation strategy, Ensemble classifier
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Raviv, D.[Dan],
Raskar, R.[Ramesh],
Multi-Velocity Neural Networks for Facial Expression Recognition in
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AffCom(10), No. 2, April 2019, pp. 290-296.
IEEE DOI
1906
Videos, Training, Splines (mathematics), Face recognition,
Convolutional codes, Biological neural networks, Deep learning,
machine learning
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IEEE DOI
1801
BibRef
Earlier: A1, A2, Only:
Facial Expression Recognition with Regional Features Using Local Binary
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CAIP13(556-563).
Springer DOI
1308
Active appearance model, Computer architecture, Data integration,
Face, Face recognition, Feature extraction,
support vector machine (SVM)
BibRef
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Zong, Y.,
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Cross-Domain Color Facial Expression Recognition Using Transductive
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AffCom(9), No. 1, January 2018, pp. 21-37.
IEEE DOI
1804
face recognition, feature extraction, image classification,
image colour analysis, learning (artificial intelligence),
transductive transfer learning
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Cross-pose color facial expression recognition using transductive
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ICIP15(1935-1939)
IEEE DOI
1512
Color facial expression recognition
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Xie, S.Y.[Si-Yue],
Hu, H.F.[Hai-Feng],
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DOI Link
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Elsevier DOI
1908
Facial Expression Recognition, Weighted Patch-based LBP,
Manifold Regularization Dictionary Pair Learning model,
Iterative Optimization Classification Strategy
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JVCIR(55), 2018, pp. 677-687.
Elsevier DOI
1809
Facial expression recognition, Multi-task learning,
Feature learning, Convolutional neural network
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Zou, X.[Xinyi],
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2211
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IEEE DOI
2010
Face recognition, Databases,
Generative adversarial networks, Deep learning, Training data,
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2202
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CVPR21(7656-7665)
IEEE DOI
2111
Databases, Face recognition, Feature extraction
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Discriminative filter based regression learning for facial expression
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ICIP13(1192-1196)
IEEE DOI
1402
Cost function
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Li, S.,
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IP(28), No. 1, January 2019, pp. 356-370.
IEEE DOI
1810
convolution, emotion recognition,
expectation-maximisation algorithm, face recognition,
deep learning
BibRef
Li, S.,
Deng, W.,
Du, J.,
Reliable Crowdsourcing and Deep Locality-Preserving Learning for
Expression Recognition in the Wild,
CVPR17(2584-2593)
IEEE DOI
1711
Compounds, Crowdsourcing, Databases, Face recognition, Gold,
Machine learning, Reliability
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Dai, S.,
Man, H.,
Mixture Statistic Metric Learning for Robust Human Action and
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CirSysVideo(28), No. 10, October 2018, pp. 2484-2499.
IEEE DOI
1811
BibRef
Earlier:
A statistic manifold kernel with graph embedding discriminant
analysis for action and expression recognition,
ICIP17(1792-1796)
IEEE DOI
1803
Measurement, Kernel, Manifolds, Face recognition, Visualization,
Indexes, Action recognition, facial expression recognition,
mixture statistical metric learning.
Task analysis,
Visualization, YouTube, Statistic manifold kernel
BibRef
Kuo, C.,
Lai, S.,
Sarkis, M.,
A Compact Deep Learning Model for Robust Facial Expression
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AMFG18(2202-22028)
IEEE DOI
1812
Databases, Training, Face recognition, Hidden Markov models, Face,
Image recognition, Image sequences
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Liu, X.F.[Xiao-Feng],
Vijaya Kumar, B.V.K.,
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PR(88), 2019, pp. 1-12.
Elsevier DOI
1901
Hard negative generation, Adaptive metric learning,
Face normalization, Facial expression recognition
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Li, Y.,
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Shan, S.,
Chen, X.,
Occlusion Aware Facial Expression Recognition Using CNN With
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IP(28), No. 5, May 2019, pp. 2439-2450.
IEEE DOI
1903
BibRef
Earlier:
Patch-Gated CNN for Occlusion-aware Facial Expression Recognition,
ICPR18(2209-2214)
IEEE DOI
1812
convolutional neural nets, emotion recognition, face recognition,
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AffCom(10), No. 2, April 2019, pp. 223-236.
IEEE DOI
1906
BibRef
Earlier: A2, A1, A4, Only:
Learning Features Robust to Image Variations with Siamese Networks for
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Springer DOI
1701
Feature extraction, Face recognition, Robustness,
Machine learning, Training, long short-term memory (LSTM)
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Histogram distance metric learning for facial expression recognition,
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Elsevier DOI
1908
Metric learning, Local metric learning, Chi-squared distance,
Histogram classification, Facial expression recognition in the wild
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JVCIR(62), 2019, pp. 1-11.
Elsevier DOI
1908
Facial expression recognition, Emotion recognition, Convolution neural network
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Tang, Y.[Yan],
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Facial Expression Recognition Using Frequency Neural Network,
IP(30), 2021, pp. 444-457.
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2012
Frequency-domain analysis, Feature extraction,
Discrete cosine transforms, Face recognition, Deep learning,
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Huang, M.Y.[Meng-Yu],
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Wang, H.X.[Hao-Xiang],
Tang, Y.[Yan],
Convolution by Multiplication: Accelerated Two- Stream Fourier Domain
Convolutional Neural Network for Facial Expression Recognition,
CirSysVideo(32), No. 3, March 2022, pp. 1431-1442.
IEEE DOI
2203
Feature extraction, Face recognition, Frequency-domain analysis,
Convolutional neural networks, Deep learning, Convolution,
frequency domain
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Zhou, J.Z.[Jin-Zhao],
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JVCIR(75), 2021, pp. 103018.
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2103
Facial expression recognition, Uniform rectangular features,
Frequency multiplication network
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Zhou, J.Z.[Jin-Zhao],
Zhang, X.M.[Xing-Ming],
Liu, Y.[Yang],
Lan, X.Y.[Xiang-Yuan],
Facial Expression Recognition Using Spatial-Temporal Semantic Graph
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ICIP20(1961-1965)
IEEE DOI
2011
Semantics, Face recognition, Feature extraction, Convolution,
Heuristic algorithms, Geometry, Neural networks,
Spatial Temporal Graph Convolutional Network
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Xie, L.,
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Wei, H.,
Zhang, K.,
Pang, G.,
Online Kernel-Based Structured Output SVM for Early Expression
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SPLetters(26), No. 9, September 2019, pp. 1305-1309.
IEEE DOI
1909
face recognition, feature extraction,
learning (artificial intelligence), support vector machines,
deep features
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JVCIR(65), 2019, pp. 102659.
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1912
Convolutional neural network, Facial expression recognition, Feature extraction
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A Weakly Supervised learning technique for classifying facial
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PRL(128), 2019, pp. 162-168.
Elsevier DOI
1912
Weakly supervised learning, Facial expression recognition, Label smoothing
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Happy, S.L.,
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Expression recognition with deep features extracted from holistic and
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IVC(105), 2021, pp. 104038.
Elsevier DOI
2101
Facial expression recognition, Convolutional neural networks,
Part-based face representation, Data augmentation
BibRef
Gogic, I.[Ivan],
Manhart, M.[Martina],
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MultMed(22), No. 1, January 2020, pp. 122-137.
IEEE DOI
2001
Multimodal human affective computing,
locally confined cross-modality interaction,
bidirectional multiconnected LSTM
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Mai, S.[Sijie],
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Xu, J.[Jia],
Xing, S.L.[Song-Long],
Multi-Fusion Residual Memory Network for Multimodal Human Sentiment
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AffCom(13), No. 1, January 2022, pp. 320-334.
IEEE DOI
2203
Feature extraction, Acoustics, Hidden Markov models, Task analysis,
Fuses, Sentiment analysis, Visualization, Sentiment analysis,
residual memory network
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An, F.P.[Feng-Ping],
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Liang, D.D.[Dan-Dan],
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Li, K.[Kuan],
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Qiao, Y.[Yu],
Region Attention Networks for Pose and Occlusion Robust Facial
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IP(29), 2020, pp. 4057-4069.
IEEE DOI
2002
Facial expression recognition,
occlusion-robust and pose-invariant, region attention network, deep convolutional neural networks
BibRef
Wang, K.[Kai],
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Yang, J.F.[Jian-Fei],
Lu, S.J.[Shi-Jian],
Qiao, Y.[Yu],
Suppressing Uncertainties for Large-Scale Facial Expression
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CVPR20(6896-6905)
IEEE DOI
2008
Uncertainty, Face recognition, Feature extraction,
Noise measurement, Training, Face
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Du, L.S.[Ling-Shuang],
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Facial expression recognition based on deep convolution long
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Elsevier DOI
2004
Facial expression recognition, Computer applications, CNN, LSTM
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Sun, Z.[Zhe],
Chiong, R.[Raymond],
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Elsevier DOI
2005
Visual domain adaptation, Facial expression recognition, Adversarial learning
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TimeConvNets: A Deep Time Windowed Convolution Neural Network Design
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CRV20(9-16)
IEEE DOI
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convolution, temporal, emotion, expression, dataset
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Facial expression recognition, Deep learning, Kernel methods
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Mahmoudi, M.A.[M. Amine],
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Kernel-based convolution expansion for facial expression recognition,
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2208
Emotion recognition, Facial expression recognition,
Deep learning, Kernel methods
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Wen, G.,
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Dynamic Objectives Learning for Facial Expression Recognition,
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IEEE DOI
2010
Face recognition, Covariance matrices, Feature extraction,
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STM, SURF, CNN, LSTM
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2011
CNN, Face visualization, Healthcare systems,
Human-machine interaction
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IEEE DOI
2011
Convolution, Feature extraction, Databases, Convolutional codes,
Computational modeling, Training, Computer architecture, deep learning
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Facial expression recognition, Deep learning,
Combined center dispersion loss function, Ensemble model
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IEEE DOI
2101
Face recognition, Feature extraction, Faces, Adaptation models,
Training, Mouth, Image coding, Facial expression recognition,
knowledge distillation
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Wu, M.,
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2102
Feature extraction, Genetic algorithms,
Principal component analysis, Face recognition, Optimization,
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The FaceChannel: A Light-weight Deep Neural Network for Facial
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IEEE DOI
2102
Face recognition, Adaptation models, Training,
Computational modeling, Faces, Annotations, Data models, Deep Learning
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Balasubramanian, S.,
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2104
Facial expression recognition, FER, Spatio-channel attention,
SCAN, CNN, Occlusion-robust, Pose-invariant
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Kondo, K.[Kazuaki],
Nakamura, T.[Taichi],
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Siamese-structure Deep Neural Network Recognizing Changes in Facial
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ICPR21(4605-4612)
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2105
Measurement, Visualization, Image recognition, Face recognition,
Perturbation methods, Neural networks, Mouth, Quality-of-life,
Siamese network
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Dharanya, V.,
Joseph Raj, A.N.[Alex Noel],
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Facial Expression Recognition through person-wise regeneration of
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JVCIR(77), 2021, pp. 103110.
Elsevier DOI
2106
Facial Expression Recognition (FER), Subject dependence,
Conditional GAN(CGAN), Auxiliary Classifier GAN(ACGAN), U-Net,
Capsule Network(capsuleNet)
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Li, M.[Ming],
Xu, H.[Hao],
Huang, X.C.[Xing-Chang],
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Liu, X.L.[Xiao-Lin],
Li, X.[Xin],
Facial Expression Recognition with Identity and Emotion Joint
Learning,
AffCom(12), No. 2, April 2021, pp. 544-550.
IEEE DOI
2106
Face recognition, Face, Task analysis, Feature extraction,
Convolution, Emotion recognition, Training data,
transfer learning
BibRef
Rao, T.R.[Tian-Rong],
Li, J.[Jie],
Wang, X.Y.[Xiao-Yu],
Sun, Y.[Yibo],
Chen, H.[Hong],
Facial Expression Recognition With Multiscale Graph Convolutional
Networks,
MultMedMag(28), No. 2, April 2021, pp. 11-19.
IEEE DOI
2107
Face recognition, Feature extraction, Emotion recognition,
Image recognition, Solid modeling, Data mining, Convolutional neural networks
BibRef
Xia, H.Y.[Hai-Ying],
Li, C.Y.[Chang-Yuan],
Tan, Y.[Yumei],
Li, L.Y.[Ling-Yun],
Song, S.X.[Shu-Xiang],
Destruction and Reconstruction Learning for Facial Expression
Recognition,
MultMedMag(28), No. 2, April 2021, pp. 20-28.
IEEE DOI
2107
Feature extraction, Face recognition, Image reconstruction,
Image recognition, Emotion recognition, Training data,
Destruction and Reconstruction
BibRef
Zhao, Z.Q.[Zeng-Qun],
Liu, Q.S.[Qing-Shan],
Wang, S.M.[Shan-Min],
Learning Deep Global Multi-Scale and Local Attention Features for
Facial Expression Recognition in the Wild,
IP(30), 2021, pp. 6544-6556.
IEEE DOI
2108
Feature extraction, Face recognition, Image recognition, Faces,
Convolution, Image reconstruction, Geometry,
local attention
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Jin, X.[Xing],
Lai, Z.H.[Zhi-Hui],
Jin, Z.[Zhong],
Learning Dynamic Relationships for Facial Expression Recognition
Based on Graph Convolutional Network,
IP(30), 2021, pp. 7143-7155.
IEEE DOI
2108
Convolution, Face recognition, Task analysis, Feature extraction,
Convolutional codes, Mouth, Gold, Facial expression recognition,
light-weight network
BibRef
Sun, W.[Wenyun],
Zhao, H.T.[Hai-Tao],
Jin, Z.[Zhong],
3D Convolutional Neural Networks for Facial Expression Classification,
SFBA16(I: 528-543).
Springer DOI
1704
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Yu, W.M.[Wen-Meng],
Xu, H.[Hua],
Co-attentive multi-task convolutional neural network for facial
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PR(123), 2022, pp. 108401.
Elsevier DOI
2112
Facial expression recognition, Facial landmarks detection, Multi-task learning
BibRef
Gan, C.Q.[Chen-Quan],
Xiao, J.H.[Jun-Hao],
Wang, Z.Y.[Zhang-Yi],
Zhang, Z.F.[Zu-Fan],
Zhu, Q.Y.[Qing-Yi],
Facial expression recognition using densely connected convolutional
neural network and hierarchical spatial attention,
IVC(117), 2022, pp. 104342.
Elsevier DOI
2112
Facial image, Facial expression recognition,
Densely connected convolutional neural network, Spatial attention
BibRef
Qayyum, A.[Abdul],
Razzak, I.[Imran],
Moustafa, N.[Nour],
Mazher, M.[Moona],
Progressive ShallowNet for large scale dynamic and spontaneous facial
behaviour analysis in children,
IVC(119), 2022, pp. 104375.
Elsevier DOI
2202
Psychological health, Human computer interaction, Emotion care,
Depressed, Facial behavior recognition, Patient monitoring
BibRef
Nguyen, H.D.[Hai-Duong],
Kim, S.H.[Sun-Hee],
Lee, G.S.[Guee-Sang],
Yang, H.J.[Hyung-Jeong],
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Kim, S.H.[Soo-Hyung],
Facial Expression Recognition Using a Temporal Ensemble of
Multi-Level Convolutional Neural Networks,
AffCom(13), No. 1, January 2022, pp. 226-237.
IEEE DOI
2203
Face recognition, Image recognition, Computer architecture,
Feature extraction, Emotion recognition,
multi-level convolutional neural networks
BibRef
Gera, D.[Darshan],
Balasubramanian, S.,
Jami, A.[Anwesh],
CERN: Compact facial expression recognition net,
PRL(155), 2022, pp. 9-18.
Elsevier DOI
2203
Light-weight, Transfer learning, Facial expression recognition,
Attention, Local-global context, CNN
BibRef
Tong, X.Y.[Xiao-Yun],
Sun, S.L.[Song-Lin],
Fu, M.X.[Mei-Xia],
Adaptive weight based on overlapping blocks network for facial
expression recognition,
IVC(120), 2022, pp. 104399.
Elsevier DOI
2204
Facial expression recognition, Feature map block,
Adaptive weight, Deep learning
BibRef
Wang, C.[Cong],
Xue, J.[Jian],
Lu, K.[Ke],
Yan, Y.F.[Yan-Fu],
Light Attention Embedding for Facial Expression Recognition,
CirSysVideo(32), No. 4, April 2022, pp. 1834-1847.
IEEE DOI
2204
Face recognition, Feature extraction, Task analysis, Training, Faces,
Computer architecture, Videos, Facial expression recognition,
deep neural network
BibRef
Kong, Y.H.[Ying-Hui],
Zhang, S.[Shuaitong],
Zhang, K.[Ke],
Ni, Q.[Qiang],
Han, J.G.[Jun-Gong],
Real-time facial expression recognition based on iterative transfer
learning and efficient attention network,
IET-IPR(16), No. 6, 2022, pp. 1694-1708.
DOI Link
2204
BibRef
Zhang, F.F.[Fei-Fei],
Xu, M.L.[Ming-Liang],
Xu, C.S.[Chang-Sheng],
Weakly-Supervised Facial Expression Recognition in the Wild With
Noisy Data,
MultMed(24), No. 2022, pp. 1800-1814.
IEEE DOI
2204
Noise measurement, Face recognition, Data models, Task analysis,
Training data, Training, Annotations,
noise modeling
BibRef
Zhang, X.[Xi],
Zhang, F.F.[Fei-Fei],
Xu, C.S.[Chang-Sheng],
Joint Expression Synthesis and Representation Learning for Facial
Expression Recognition,
CirSysVideo(32), No. 3, March 2022, pp. 1681-1695.
IEEE DOI
2203
Face recognition, Task analysis, Generative adversarial networks,
Image synthesis, Image recognition, Faces, Training,
representation learning
BibRef
Li, Y.J.[Ying-Jian],
Gao, Y.N.[Ying-Nan],
Chen, B.Z.[Bing-Zhi],
Zhang, Z.[Zheng],
Lu, G.M.[Guang-Ming],
Zhang, D.[David],
Self-Supervised Exclusive-Inclusive Interactive Learning for
Multi-Label Facial Expression Recognition in the Wild,
CirSysVideo(32), No. 5, May 2022, pp. 3190-3202.
IEEE DOI
2205
Task analysis, Databases, Training, Face recognition, Training data,
Data models, Uncertainty,
conditional adversarial learning
BibRef
Sun, Z.[Zhe],
Chiong, R.[Raymond],
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A dynamic constraint representation approach based on cross-domain
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JVCIR(85), 2022, pp. 103458.
Elsevier DOI
2205
Facial expression recognition,
Cross-domain dictionary learning, Dynamic constraint representation
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Chen, J.Y.[Jing-Ying],
Yang, L.[Lei],
Tan, L.[Lei],
Xu, R.[Ruyi],
Orthogonal channel attention-based multi-task learning for multi-view
facial expression recognition,
PR(129), 2022, pp. 108753.
Elsevier DOI
2206
Multi-view facial expression recognition,
Orthogonal channel attention, Multi-task learning,
Separated channel attention module
BibRef
Zhang, J.[Jing],
Yu, H.M.[Hui-Min],
Improving the Facial Expression Recognition and Its Interpretability
via Generating Expression Pattern-map,
PR(129), 2022, pp. 108737.
Elsevier DOI
2206
Facial expression recognition,
Facial expression visualization, Deep neural networks
BibRef
Fan, Y.R.[Ying-Ruo],
Li, V.O.K.[Victor O.K.],
Lam, J.C.K.[Jacqueline C.K.],
Facial Expression Recognition With Deeply-Supervised Attention
Network,
AffCom(13), No. 2, April 2022, pp. 1057-1071.
IEEE DOI
2206
Training, Face, Face recognition, Task analysis, Visualization,
Feature extraction, Facial expression recognition, visual explanation
BibRef
Kar, N.B.[Nikunja Bihari],
Babu, K.S.[Korra Sathya],
Bakshi, S.[Sambit],
Facial expression recognition system based on variational mode
decomposition and whale optimized KELM,
IVC(123), 2022, pp. 104445.
Elsevier DOI
2206
Facial expression recognition, Kernel extreme learning machine,
Whale optimization
BibRef
Liu, H.[Hanwei],
Cai, H.L.[Hui-Ling],
Lin, Q.C.[Qing-Cheng],
Li, X.F.[Xue-Feng],
Xiao, H.[Hui],
Adaptive Multilayer Perceptual Attention Network for Facial
Expression Recognition,
CirSysVideo(32), No. 9, September 2022, pp. 6253-6266.
IEEE DOI
2209
Face recognition, Feature extraction, Mouth, Robustness,
Facial features, Data mining, Visualization,
variant pose
BibRef
Karnati, M.[Mohan],
Seal, A.[Ayan],
Yazidi, A.[Anis],
Krejcar, O.[Ondrej],
FLEPNet: Feature Level Ensemble Parallel Network for Facial
Expression Recognition,
AffCom(13), No. 4, October 2022, pp. 2058-2070.
IEEE DOI
2212
Face recognition, Feature extraction, Lighting, Databases,
Training data, Discrete Fourier transforms, Data mining,
facial expression classification
BibRef
Lang, J.J.[Jun-Jie],
Sun, X.[Xiao],
Li, J.[Jia],
Wang, M.[Meng],
Multi-stage and multi-branch network with similar expressions label
distribution learning for facial expression recognition,
PRL(163), 2022, pp. 17-24.
Elsevier DOI
2212
Similar expressions,
Multi-stage multi-branch classification network, Label distribution learning
BibRef
Liu, P.[Ping],
Lin, Y.[Yuewei],
Meng, Z.[Zibo],
Lu, L.[Lu],
Deng, W.H.[Wei-Hong],
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Yang, Y.[Yi],
Point Adversarial Self-Mining: A Simple Method for Facial Expression
Recognition,
Cyber(52), No. 12, December 2022, pp. 12649-12660.
IEEE DOI
2212
Face recognition, Training, Feature extraction, Faces,
Facial expression recognition (FER), in-the-wild data, point adversarial attack
BibRef
Chen, T.S.[Tian-Shui],
Pu, T.[Tao],
Wu, H.F.[He-Feng],
Xie, Y.[Yuan],
Liu, L.B.[Ling-Bo],
Lin, L.[Liang],
Cross-Domain Facial Expression Recognition:
A Unified Evaluation Benchmark and Adversarial Graph Learning,
PAMI(44), No. 12, December 2022, pp. 9887-9903.
IEEE DOI
2212
Feature extraction, Benchmark testing,
Adversarial machine learning, Face recognition, Task analysis,
fair evaluation
BibRef
Xie, Y.H.[Yu-Hao],
Gao, Y.F.[Yue-Fang],
Lin, J.T.[Jian-Tao],
Chen, T.S.[Tian-Shui],
Learning Consistent Global-Local Representation for Cross-Domain
Facial Expression Recognition,
ICPR22(2489-2495)
IEEE DOI
2212
Representation learning, Analytical models, Face recognition,
Semantics, Reliability
BibRef
Jiang, M.[Man],
Yin, S.[Shoulin],
Facial expression recognition based on convolutional block attention
module and multi-feature fusion,
IJCVR(13), No. 1, 2023, pp. 21-37.
DOI Link
2212
BibRef
Zhang, Z.Y.[Zi-Yang],
Sun, X.[Xiao],
Li, J.[Jia],
Wang, M.[Meng],
MAN: Mining Ambiguity and Noise for Facial Expression Recognition in
the Wild,
PRL(164), 2022, pp. 23-29.
Elsevier DOI
2212
Facial Expression Recognition, Annotation ambiguity,
Mutual Learning, Unsupervised Learning
BibRef
Wan, F.[Fei],
Zhi, R.C.[Rui-Cong],
Gaussian distribution-based facial expression feature extraction
network,
PRL(164), 2022, pp. 104-111.
Elsevier DOI
2212
Facial expression recognition, Gaussian distribution model,
Feature disentanglement
BibRef
Mishra, R.K.[Ram Krishn],
Urolagin, S.[Siddhaling],
Arul-Jothi, J.A.[J. Angel],
Gaur, P.[Pramod],
Deep hybrid learning for facial expression binary classifications and
predictions,
IVC(128), 2022, pp. 104573.
Elsevier DOI
2212
Convolutional neural network, Deep neural network,
Deep neural hybrid learning, Transfer learning
BibRef
Albraikan, A.A.[Amani Abdulrahman],
Alzahrani, J.S.[Jaber S.],
Alshahrani, R.[Reem],
Yafoz, A.[Ayman],
Alsini, R.[Raed],
Hilal, A.M.[Anwer Mustafa],
Alkhayyat, A.[Ahmed],
Gupta, D.[Deepak],
Intelligent facial expression recognition and classification using
optimal deep transfer learning model,
IVC(128), 2022, pp. 104583.
Elsevier DOI
2212
Facial expression recognition, Deep learning, Mask RCNN,
Face detection, Machine learning, Adam optimizer
BibRef
Sun, Z.[Zhe],
Zhang, H.[Hehao],
Bai, J.[Jiatong],
Liu, M.Y.[Ming-Yang],
Hu, Z.P.[Zheng-Ping],
A discriminatively deep fusion approach with improved conditional GAN
(im-cGAN) for facial expression recognition,
PR(135), 2023, pp. 109157.
Elsevier DOI
2212
Facial expression recognition, Discriminatively deep fusion approach,
Discriminative loss function
BibRef
Choi, J.Y.[Jae Young],
Lee, B.[Bumshik],
Combining Deep Convolutional Neural Networks with Stochastic Ensemble
Weight Optimization for Facial Expression Recognition in the Wild,
MultMed(25), 2023, pp. 100-111.
IEEE DOI
2301
Optimization, Face recognition, Deep learning, Faces,
Convolutional neural networks, Bagging, Training,
deep ensemble generalization error
BibRef
Yu, B.C.[Bao-Cheng],
Zhang, G.Y.[Guan-Yu],
Xu, W.X.[Wen-Xia],
Wei, M.[Ming],
Face Expression Recognition Based on Lightweight Fused Attention
Mechanism,
ICRVC22(85-89)
IEEE DOI
2301
Target recognition, Convolution, Face recognition,
Computational modeling, Feature extraction, depthwise seperable convolution
BibRef
Liu, X.W.[Xue-Wen],
Guo, Z.[Zhe],
Yuan, B.[Boya],
Guo, H.J.[Hao-Jie],
Robust Facial Expression Recognition Based on Dual Branch
Multi-feature Learning,
ICIVC22(1-6)
IEEE DOI
2301
Training, Adaptation models, Sensitivity, Image recognition, Face recognition,
Mouth, Feature extraction, Densely connected dynamic selection
BibRef
Bonnard, J.[Jules],
Dapogny, A.[Arnaud],
Dhombres, F.[Ferdinand],
Bailly, K.[Kevin],
Privileged Attribution Constrained Deep Networks for Facial
Expression Recognition,
ICPR22(1055-1061)
IEEE DOI
2212
Heating systems, Location awareness, Adaptation models,
Ultrasonic imaging, Limiting, Face recognition, Computational modeling
BibRef
Li, X.[Xiao],
Li, C.L.[Chun-Lei],
Tian, B.[Bo],
Liu, Z.F.[Zhou-Feng],
Yang, R.[Ruimin],
Learning Discriminative Features with Region Attention and Refinement
Network for Facial Expression Recognition in the Wild,
ICPR22(1113-1119)
IEEE DOI
2212
Face recognition, Source coding, Feature extraction,
Facial Expression Recognition, discriminative features,
latent feature mining
BibRef
Miyoshi, R.[Ryo],
Akizuki, S.[Shuichi],
Tobitani, K.[Kensuke],
Nagata, N.[Noriko],
Hashimoto, M.[Manabu],
Convolutional Neural Tree for Video-Based Facial Expression
Recognition Embedding Emotion Wheel as Inductive Bias,
ICIP22(3261-3265)
IEEE DOI
2211
Performance evaluation, Emotion recognition, Image recognition,
Face recognition, Psychology, Wheels, Videos, Emotion model
BibRef
Jin, R.[Rijin],
Zhao, S.[Sirui],
Hao, Z.K.[Zhong-Kai],
Xu, Y.F.[Yi-Fan],
Xu, T.[Tong],
Chen, E.[Enhong],
AVT: Au-Assisted Visual Transformer for Facial Expression Recognition,
ICIP22(2661-2665)
IEEE DOI
2211
Gold, Visualization, Image recognition, Fuses, Face recognition,
Lighting, Transformers, Facial Expression Recognition, Transformer, AU
BibRef
Pan, X.S.[Xiang-Shuai],
Liu, W.F.[Wei-Feng],
Wang, Y.J.[Yan-Jiang],
Lu, X.P.[Xiao-Ping],
Liu, B.[Baodi],
MSL-FER: Mirrored Self-Supervised Learning for Facial Expression
Recognition,
ICIP22(1601-1605)
IEEE DOI
2211
Representation learning, Uncertainty, Image recognition, Costs,
Face recognition, Self-supervised learning, Feature extraction,
Attention
BibRef
Phan, K.N.[Kim Ngan],
Nguyen, H.H.[Hong-Hai],
Huynh, V.T.[Van-Thong],
Kim, S.H.[Soo-Hyung],
Facial Expression Classification using Fusion of Deep Neural Network
in Video,
ABAW22(2506-2510)
IEEE DOI
2210
Human computer interaction, Emotion recognition,
Computational modeling, Neural networks, Transformers,
Pattern recognition
BibRef
Li, H.[Hangyu],
Wang, N.N.[Nan-Nan],
Yang, X.[Xi],
Wang, X.Y.[Xiao-Yu],
Gao, X.B.[Xin-Bo],
Towards Semi-Supervised Deep Facial Expression Recognition with An
Adaptive Confidence Margin,
CVPR22(4156-4165)
IEEE DOI
2210
Training, Adaptation models, Codes, Face recognition,
Semisupervised learning, Data models, Face and gestures,
Self- semi- meta- unsupervised learning
BibRef
Xue, F.L.[Fang-Lei],
Wang, Q.C.[Qiang-Chang],
Guo, G.D.[Guo-Dong],
TransFER: Learning Relation-aware Facial Expression Representations
with Transformers,
ICCV21(3581-3590)
IEEE DOI
2203
Adaptation models, Face recognition, Computational modeling,
Transfer learning, Computer architecture, Benchmark testing, Faces,
Recognition and classification
BibRef
Verma, M.[Manisha],
Nakashima, Y.[Yuta],
Kobori, H.[Hirokazu],
Takaoka, R.[Ryota],
Takemura, N.[Noriko],
Kimura, T.[Tsukasa],
Nagahara, H.[Hajime],
Numao, M.[Masayuki],
Shinohara, K.[Kazumitsu],
Learners' Efficiency Prediction Using Facial Behavior Analysis,
ICIP21(1084-1088)
IEEE DOI
2201
Measurement, Analytical models, Portable computers,
Electronic learning, Webcams, Image processing, Sociology,
facial behavior analysis
BibRef
Schoneveld, L.[Liam],
Othmani, A.[Alice],
Towards a General Deep Feature Extractor for Facial Expression
Recognition,
ICIP21(2339-2342)
IEEE DOI
2201
Training, Deep learning, Emotion recognition, Visualization,
Image recognition, Face recognition,
Knowledge distillation
BibRef
Du, Y.T.[Yang-Tao],
Yang, D.K.[Ding-Kang],
Zhai, P.[Peng],
Li, M.C.[Ming-Chen],
Zhang, L.H.[Li-Hua],
Learning Associative Representation for Facial Expression Recognition,
ICIP21(889-893)
IEEE DOI
2201
Image recognition, Face recognition, Lighting, Benchmark testing,
Generative adversarial networks, Generators, Facial expression,
robust representation
BibRef
Shome, D.[Debaditya],
Kar, T.,
FedAffect: Few-shot federated learning for facial expression
recognition,
HTCV21(4151-4158)
IEEE DOI
2112
Training, Data privacy, Face recognition,
Supervised learning, Collaborative work
BibRef
Zheng, Z.Z.[Zhen-Zhu],
Rasmussen, C.[Christopher],
Peng, X.[Xi],
Student-Teacher Oneness: A Storage-efficient approach that improves
facial expression recognition,
HTCV21(4060-4069)
IEEE DOI
2112
Training, Lead acid batteries, Deep learning,
Face recognition, Memory management
BibRef
Farzaneh, A.H.[Amir Hossein],
Qi, X.J.[Xiao-Jun],
Facial Expression Recognition in the Wild via Deep Attentive Center
Loss,
WACV21(2401-2410)
IEEE DOI
2106
Measurement, Learning systems, Face recognition,
Neural networks, Linear programming
BibRef
Ayral, T.[Théo],
Pedersoli, M.[Marco],
Bacon, S.[Simon],
Granger, E.[Eric],
Temporal Stochastic Softmax for 3D CNNs:
An Application in Facial Expression Recognition,
WACV21(3028-3037)
IEEE DOI
2106
Training, Visualization, Annotations,
Face recognition, Computational modeling, Stochastic processes
BibRef
Méndez-Llanes, N.[Nelson],
Castillo-Rosado, K.[Katy],
Méndez-Vázquez, H.[Heydi],
Tistarelli, M.[Massimo],
Quality-based Representation for Unconstrained Face Recognition,
ICPR21(6494-6500)
IEEE DOI
2105
Deep learning, Analytical models, Databases, Face recognition,
Computational modeling, Feature extraction, Proposals
BibRef
Liu, D.Z.[Dai-Zong],
Zhang, H.T.[Hong-Ting],
Zhou, P.[Pan],
Video-based Facial Expression Recognition using Graph Convolutional
Networks,
ICPR21(607-614)
IEEE DOI
2105
Image recognition, Face recognition,
Video sequences, Streaming media, Feature extraction, Data mining
BibRef
Georgescu, M.I.[Mariana-Iuliana],
Ionescu, R.T.[Radu Tudor],
Teacher-Student Training and Triplet Loss for Facial Expression
Recognition under Occlusion,
ICPR21(2288-2295)
IEEE DOI
2105
Training, Headphones, Knowledge engineering, Solid modeling,
Face recognition, Neural networks, Virtual reality
BibRef
Zhu, Y.P.[Yong-Pei],
Fan, H.W.[Hong-Wei],
Yuan, K.[Kehong],
Classification Mechanism of Convolutional Neural Network for Facial
Expression Recognition,
FBE20(717-729).
Springer DOI
2103
BibRef
Valev, H.[Hristo],
Gallucci, A.[Alessio],
Leufkens, T.[Tim],
Westerink, J.[Joyce],
Sas, C.[Corina],
Applying Delaunay Triangulation Augmentation for Deep Learning Facial
Expression Generation and Recognition,
FBE20(730-740).
Springer DOI
2103
BibRef
Zhou, J.,
Zhang, X.,
Liu, Y.,
Learning the Connectivity: Situational Graph Convolution Network for
Facial Expression Recognition,
VCIP20(230-234)
IEEE DOI
2102
Face recognition, Convolution, Feature extraction, Training,
Robustness, Geometry, Topology, facial expression recognition,
occluded facial expression recognition
BibRef
Do, N.T.,
Nguyen-Quynh, T.T.,
Kim, S.H.,
Affective Expression Analysis in-the-wild using Multi-Task Temporal
Statistical Deep Learning Model,
FG20(624-628)
IEEE DOI
2102
Face recognition, Emotion recognition, Training, Testing,
Feature extraction, Faces, Annotations,
ABAW Challenge
BibRef
Aspandi, D.,
Mallol-Ragolta, A.,
Schuller, B.,
Binefa, X.,
Latent-Based Adversarial Neural Networks for Facial Affect
Estimations,
FG20(606-610)
IEEE DOI
2102
Feature extraction, Computational modeling, Training, Generators,
Estimation, Biological system modeling,
Latent Representation
BibRef
Rasipuram, S.,
Bhat, J.H.,
Maitra, A.,
Multi-modal Expression Recognition in the Wild Using Sequence
Modeling,
FG20(629-631)
IEEE DOI
2102
Face recognition, Feature extraction, Videos, Databases,
Mel frequency cepstral coefficient, Emotion recognition,
multi modal analysis
BibRef
Rasipuram, S.,
Bhat, J.H.,
Maitra, A.,
Multi-modal Sequence-to-sequence Model for Continuous Affect
Prediction in the Wild Using Deep 3D Features,
FG20(611-614)
IEEE DOI
2102
Feature extraction, Videos, Face recognition, Visualization,
Databases, Emotion recognition, Training, affect recognition,
multi modal anaysis
BibRef
Churamani, N.,
Gunes, H.,
CLIFER: Continual Learning with Imagination for Facial Expression
Recognition,
FG20(322-328)
IEEE DOI
2102
Adaptation models, Data models, Semantics, Face recognition,
Image recognition, Convolution, Brain modeling,
Affective Computing
BibRef
Behzad, M.,
Vo, N.,
Li, X.,
Zhao, G.,
Landmarks-assisted Collaborative Deep Framework for Automatic 4D
Facial Expression Recognition,
FG20(1-5)
IEEE DOI
2102
Feature extraction, Collaboration,
Face recognition, Strain, Training
BibRef
Bernheim, S.,
Arnaud, E.,
Dapogny, A.[Arnaud],
Bailly, K.[Kevin],
MoDuL: Deep Modal and Dual Landmark-wise Gated Network for Facial
Expression Recognition,
FG20(153-159)
IEEE DOI
2102
Logic gates, Feature extraction, Face recognition, Agriculture,
Faces, Task analysis, Iron, Facial expression recognition,
ensemble methods
BibRef
Mahmoudi, M.A.,
Chetouani, A.,
Boufera, F.,
Tabia, H.,
Kernelized Dense Layers For Facial Expression Recognition,
ICIP20(2226-2230)
IEEE DOI
2011
Kernel, Convolution, Neurons, Standards, Task analysis,
Computational modeling, Training, facial expression recognition,
fully connected layers
BibRef
Jin, L.,
Zhou, Y.,
Liu, H.,
Song, E.,
Deformable Quaternion Gabor Convolutional Neural Network For Color
Facial Expression Recognition,
ICIP20(1696-1700)
IEEE DOI
2011
Quaternions, Gabor filters, Training, Convolution,
Image color analysis, Feature extraction, color image processing
BibRef
Zhu, K.,
Wang, Y.,
Yang, H.,
Huang, D.,
Chen, L.,
Intensity Enhancement Via GAN for Multimodal Facial Expression
Recognition,
ICIP20(1346-1350)
IEEE DOI
2011
Face Expression Recognition, Generative Adversarial Network,
Intensity Enhancement
BibRef
Fan, X.,
Deng, Z.,
Wang, K.,
Peng, X.,
Qiao, Y.,
Learning Discriminative Representation For Facial Expression
Recognition From Uncertainties,
ICIP20(903-907)
IEEE DOI
2011
Facial expression, Rayleigh loss, weighted Softmax, robust representation.
BibRef
Florea, C.[Corneliu],
Badea, M.[Mihai],
Florea, L.[Laura],
Racoviteanu, A.[Andrei],
Vertan, C.[Constantin],
Margin-mix: Semi-supervised Learning for Face Expression Recognition,
ECCV20(XXIII:1-17).
Springer DOI
2011
BibRef
Xu, X.,
Ruan, Z.,
Yang, L.,
Facial Expression Recognition Based on Graph Neural Network,
ICIVC20(211-214)
IEEE DOI
2009
Face recognition, Face, Feature extraction,
Convolutional neural networks, Image recognition, Databases,
graph convolutional neural network
BibRef
Verma, M.,
Kobori, H.,
Nakashima, Y.,
Takemura, N.,
Nagahara, H.,
Facial Expression Recognition with Skip-Connection to Leverage
Low-Level Features,
ICIP19(51-55)
IEEE DOI
1910
Facial expression recognition, facial landmarks,
convolutional neural network, low level features.
BibRef
Bai, M.,
Xie, W.,
Shen, L.,
Disentangled Feature Based Adversarial Learning for Facial Expression
Recognition,
ICIP19(31-35)
IEEE DOI
1910
Disentangled feature, adversarial learning,
expression disentangling, residual expression
BibRef
Chen, J.,
Konrad, J.,
Ishwar, P.,
VGAN-Based Image Representation Learning for Privacy-Preserving
Facial Expression Recognition,
PRIV18(1651-165109)
IEEE DOI
1812
Face, Face recognition, Privacy, Visualization,
Image recognition, Generative adversarial networks
BibRef
Yang, H.,
Ciftci, U.,
Yin, L.,
Facial Expression Recognition by De-expression Residue Learning,
CVPR18(2168-2177)
IEEE DOI
1812
Face, Generators, Face recognition, Databases,
Training data, Training
BibRef
Lin, F.,
Hong, R.,
Zhou, W.,
Li, H.,
Facial Expression Recognition with Data Augmentation and Compact
Feature Learning,
ICIP18(1957-1961)
IEEE DOI
1809
Face, Training, Databases, Face recognition, Shape, Solid modeling,
cluster loss
BibRef
Shen, F.,
Liu, J.,
Wu, P.,
Double Complete D-LBP with Extreme Learning Machine Auto-Encoder and
Cascade Forest for Facial Expression Analysis,
ICIP18(1947-1951)
IEEE DOI
1809
Databases, Forestry, Feature extraction, Histograms,
Face recognition, Principal component analysis, Training,
cascade forest
BibRef
Cai, J.,
Meng, Z.,
Khan, A.S.,
Li, Z.,
O'Reilly, J.,
Tong, Y.,
Island Loss for Learning Discriminative Features in Facial Expression
Recognition,
FG18(302-309)
IEEE DOI
1806
Backpropagation, Databases, Face recognition, Head, Lighting,
Propagation losses, Training, Convolutional Neural Network,
Island Loss
BibRef
Aneja, D.[Deepali],
Chaudhuri, B.,
Colburn, A.[Alex],
Faigin, G.[Gary],
Shapiro, L.G.[Linda G.],
Mones, B.[Barbara],
Learning to Generate 3D Stylized Character Expressions from Humans,
WACV18(160-169)
IEEE DOI
1806
computer animation, face recognition, feedforward neural nets,
learning (artificial intelligence), 3D animated character rig,
BibRef
Aneja, D.[Deepali],
Colburn, A.[Alex],
Faigin, G.[Gary],
Shapiro, L.G.[Linda G.],
Mones, B.[Barbara],
Modeling Stylized Character Expressions via Deep Learning,
ACCV16(II: 136-153).
Springer DOI
1704
BibRef
Mikheeva, O.,
Ek, C.H.,
Kjellstroem, H.,
Perceptual Facial Expression Representation,
FG18(179-186)
IEEE DOI
1806
Computational modeling, Data models, Encoding, Face, Neural networks,
Semantics, Standards, facial expressions, representation learning,
variational auto encoder
BibRef
Li, Z.,
Wu, S.,
Xiao, G.,
Facial Expression Recognition by Multi-Scale CNN with Regularized
Center Loss,
ICPR18(3384-3389)
IEEE DOI
1812
convolution, face recognition, feature extraction,
feedforward neural nets, image classification,
regularized center loss
BibRef
Dong, J.Y.[Jia-Yu],
Zheng, H.C.[Hui-Cheng],
Lian, L.[Lina],
Dynamic Facial Expression Recognition Based on Convolutional Neural
Networks with Dense Connections,
ICPR18(3433-3438)
IEEE DOI
1812
Databases, Image sequences, Face, Training, Face recognition,
Training data, Convolutional neural networks
BibRef
Tran, E.,
Mayhew, M.B.,
Kim, H.,
Karande, P.,
Kaplan, A.D.,
Facial Expression Recognition Using a Large Out-of-Context Dataset,
Assist18(52-59)
IEEE DOI
1806
emotion recognition, face recognition, neural nets, FER+ dataset,
MS-Celeb-1M dataset, emotion labels, emotion recognition model,
Training
BibRef
Gu, J.,
Hu, H.,
Xie, S.,
Enhanced dictionary pair learning sparse representation model for
facial expression classification,
ICIP17(4467-4471)
IEEE DOI
1803
Dictionaries, Face, Feature extraction, Indexes, Training,
dictionary pair learning, facial expression recognition,
sparse representation
BibRef
Mavani, V.,
Raman, S.,
Miyapuram, K.P.,
Facial Expression Recognition Using Visual Saliency and Deep Learning,
CogCV17(2783-2788)
IEEE DOI
1802
Face recognition, Feature extraction, Machine learning, Testing,
Training, Visualization
BibRef
Liu, X.,
Guo, Z.,
Li, S.,
Jia, P.,
Kong, L.,
You, J.,
Kumar, B.V.K.V.,
Permutation-Invariant Feature Restructuring for Correlation-Aware
Image Set-Based Recognition,
ICCV19(4985-4995)
IEEE DOI
2004
face recognition, feature extraction, image sequences,
learning (artificial intelligence), optimisation,
Image reconstruction
BibRef
Liu, X.F.[Xiao-Feng],
Kumar, B.V.K.V.[B.V.K. Vijaya],
You, J.[Jane],
Jia, P.[Ping],
Adaptive Deep Metric Learning for Identity-Aware Facial Expression
Recognition,
Biometrics17(522-531)
IEEE DOI
1709
Face recognition, Feature extraction, Measurement,
Optimization, Training
BibRef
Gui, L.,
Baltrušaitis, T.,
Morency, L.P.[Louis-Philippe],
Curriculum Learning for Facial Expression Recognition,
FG17(505-511)
IEEE DOI
1707
Complexity theory, Emotion recognition, Face, Face recognition,
Machine learning, Neural networks, Training
BibRef
Ding, H.,
Zhou, S.K.,
Chellappa, R.,
FaceNet2ExpNet:
Regularizing a Deep Face Recognition Net for Expression Recognition,
FG17(118-126)
IEEE DOI
1707
Convolution, Distribution functions, Face, Face recognition,
Image recognition, Neurons, Training
BibRef
Ghasemi, A.,
Baktashmotlagh, M.,
Denman, S.,
Sridharan, S.,
Tien, D.N.,
Fookes, C.,
Deep discovery of facial motions using a shallow embedding layer,
ICIP17(1567-1571)
IEEE DOI
1803
Feature extraction, Hidden Markov models, Kernel, Machine learning,
Pain, Training
BibRef
Ghasemi, A.,
Denman, S.[Simon],
Sridharan, S.[Sridha],
Fookes, C.[Clinton],
Discovery of facial motions using deep machine perception,
WACV16(1-7)
IEEE DOI
1606
Convolution
BibRef
Huang, Y.,
Lu, H.Q.[Han-Qing],
Hybrid hypergraph construction for facial expression recognition,
ICPR16(4142-4147)
IEEE DOI
1705
Face, Face recognition, Image recognition, Mathematical model,
Neural networks, Training
BibRef
Arbabzadah, F.[Farhad],
Montavon, G.[Grégoire],
Müller, K.R.[Klaus-Robert],
Samek, W.[Wojciech],
Identifying Individual Facial Expressions by Deconstructing a Neural
Network,
GCPR16(344-354).
Springer DOI
1611
BibRef
Karali, A.[Abubakrelsedik],
Bassiouny, A.[Ahmad],
El-Saban, M.[Motaz],
Facial expression recognition in the wild using rich deep features,
ICIP15(3442-3446)
IEEE DOI
1512
Facial expression recognition; deep neural networks features
BibRef
Cai, J.[Jie],
Meng, Z.[Zibo],
Khan, A.S.[Ahmed Shehab],
O'Reilly, J.[James],
Li, Z.Y.[Zhi-Yuan],
Han, S.Z.[Shi-Zhong],
Tong, Y.[Yan],
Identity-Free Facial Expression Recognition Using Conditional
Generative Adversarial Network,
ICIP21(1344-1348)
IEEE DOI
2201
Image recognition, Face recognition, Neural networks, Lighting,
Transforms, Generative adversarial networks,
Generative Adversarial Network
BibRef
Meng, Z.[Zibo],
Liu, P.[Ping],
Cai, J.,
Han, S.Z.[Shi-Zhong],
Tong, Y.[Yan],
Identity-Aware Convolutional Neural Network for Facial Expression
Recognition,
FG17(558-565)
IEEE DOI
1707
Databases, Face recognition, Feature extraction, Image recognition,
Measurement, Spatiotemporal phenomena, Training
BibRef
Liu, P.[Ping],
Han, S.Z.[Shi-Zhong],
Meng, Z.[Zibo],
Tong, Y.[Yan],
Facial Expression Recognition via a Boosted Deep Belief Network,
CVPR14(1805-1812)
IEEE DOI
1409
BibRef
Liu, P.[Ping],
Zhou, J.T.Y.[Joey Tian-Yi],
Tsang, I.W.H.[Ivor Wai-Hung],
Meng, Z.[Zibo],
Han, S.Z.[Shi-Zhong],
Tong, Y.[Yan],
Feature Disentangling Machine: A Novel Approach of Feature Selection
and Disentangling in Facial Expression Analysis,
ECCV14(IV: 151-166).
Springer DOI
1408
BibRef
de Vries, G.J.[Gert-Jan],
Pauws, S.[Steffen],
Biehl, M.[Michael],
Facial Expression Recognition Using Learning Vector Quantization,
CAIP15(II:760-771).
Springer DOI
1511
BibRef
Li, W.[Wei],
Li, M.[Min],
Su, Z.[Zhong],
Zhu, Z.G.[Zhi-Gang],
A Deep-Learning Approach to Facial Expression Recognition with Candid
Images,
MVA15(279-282)
IEEE DOI
1507
Computational modeling
BibRef
Jung, H.[Heechul],
Lee, S.[Sihaeng],
Yim, J.,
Park, S.[Sunjeong],
Kim, J.[Junmo],
Joint Fine-Tuning in Deep Neural Networks for Facial Expression
Recognition,
ICCV15(2983-2991)
IEEE DOI
1602
Databases
BibRef
Jung, H.[Heechul],
Lee, S.[Sihaeng],
Park, S.[Sunjeong],
Kim, B.J.[Byung-Ju],
Kim, J.[Junmo],
Lee, I.[Injae],
Ahn, C.H.[Chung-Hyun],
Development of deep learning-based facial expression recognition
system,
FCV15(1-4)
IEEE DOI
1506
Haar transforms
BibRef
Fang, Y.C.[Yu-Chun],
Chang, L.[Lu],
Multi-instance Feature Learning Based on Sparse Representation for
Facial Expression Recognition,
MMMod15(I: 224-233).
Springer DOI
1501
BibRef
Liu, W.F.[Wei-Feng],
Song, C.F.[Cai-Feng],
Wang, Y.J.[Yan-Jiang],
Facial expression recognition based on discriminative dictionary
learning,
ICPR12(1839-1842).
WWW Link.
1302
BibRef
Ptucha, R.[Raymond],
Tsagkatakis, G.[Grigorios],
Savakis, A.E.[Andreas E.],
Manifold based Sparse Representation for robust expression recognition
without neutral subtraction,
BenchFace11(2136-2143).
IEEE DOI
1201
BibRef
And:
Manifold learning for simultaneous pose and facial expression
recognition,
ICIP11(3021-3024).
IEEE DOI
1201
BibRef
Earlier: A1, A3, Only
Facial Expression Recognition Using Facial Features and Manifold
Learning,
ISVC10(III: 301-309).
Springer DOI
1011
BibRef
And: A1, A3, Only
Pose estimation using facial feature points and manifold learning,
ICIP10(3261-3264).
IEEE DOI
1009
BibRef
Tax, D.M.J.,
Hendriks, E.,
Valstar, M.F.[Michel F.],
Pantic, M.[Maja],
The Detection of Concept Frames Using Clustering Multi-instance
Learning,
ICPR10(2917-2920).
IEEE DOI
1008
For facial expressions. Not model sequence, just concept (key) frames.
BibRef
Isukapalli, R.,
Elgammal, A.M.,
Greiner, R.,
Learning to Identify Facial Expression During Detection Using Markov
Decision Process,
FGR06(305-310).
IEEE DOI
0604
BibRef
Chen, X.[Xilen],
Kwong, S.[Sam],
Lu, Y.[Yan],
Human facial expression recognition based on learning subspace method,
ICME00(MP7).
0007
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Sptatio-Temporal Analysis for Face Expression Recognition .