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Color
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Micro-expression spotting
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IEEE DOI
1806
Adaptation models, Computational modeling, Data models,
Face recognition, Hidden Markov models, Prototypes, Training,
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Micro-expression recognition
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IEEE DOI
1706
Adaptive optics, Cameras, Face, Frequency division multiplexing,
Optical imaging, Strain, Tagging, Microexpression, emotions,
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Liong, S.T.[Sze-Teng],
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SP:IC(62), 2018, pp. 82-92.
Elsevier DOI
1802
BibRef
Earlier:
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Springer DOI
1704
Micro-expressions, Emotion, Apex, Optical flow, Optical strain, Recognition
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IEEE DOI
1804
Databases, Emotion recognition, Face recognition, Speech,
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transfer learning
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Seeking Salient Facial Regions for Cross-Database Micro-Expression
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ICPR22(1019-1025)
IEEE DOI
2212
Visualization, Image recognition, Databases, Face recognition,
Imaging, Feature extraction, Computational efficiency
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Springer DOI
2103
BibRef
Zhang, T.,
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IEEE DOI
1902
Emotion recognition, Brain modeling, Electroencephalography,
Recurrent neural networks, Electrodes, Face recognition,
spatial-temporal recurrent neural network (STRNN)
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IEEE DOI
2206
Electroencephalography, Feature extraction, Emotion recognition,
Brain modeling, Electrodes, Biological neural networks,
spatial-temporal network
BibRef
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Elsevier DOI
1805
Micro-expression recognition, Binary feature descriptor,
Coupled metric learning, Smooth support vector machine
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Lu, H.[Hua],
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1808
Micro-expression recognition, Optical flow, HOF, MBH, FMBH
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IEEE DOI
2008
Kernel, Hidden Markov models, Face recognition, Face,
Feature extraction, Videos, Gaussian mixture model,
intermediate matching kernel
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Zong, Y.[Yuan],
Huang, X.H.[Xiao-Hua],
Zheng, W.M.[Wen-Ming],
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Zhao, G.Y.[Guo-Ying],
Learning From Hierarchical Spatiotemporal Descriptors for
Micro-Expression Recognition,
MultMed(20), No. 11, November 2018, pp. 3160-3172.
IEEE DOI
1810
Spatiotemporal phenomena, Feature extraction, Face recognition,
Task analysis, Databases, Training, Gold,
kernelized group sparse learning
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Lao, L.J.[Ling-Jie],
Li, Y.[Yong],
Liu, M.L.[Meng Lin],
Xu, C.Y.[Chun-Yan],
Cui, Z.[Zhen],
Temporal Discriminative Micro-Expression Recognition via Graph
Contrastive Learning,
ICPR22(1033-1040)
IEEE DOI
2212
Convolution, Video sequences, Training data, Medical treatment,
Transformers, Pattern recognition, Task analysis
BibRef
Jain, D.K.[Deepak Kumar],
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Elsevier DOI
1812
Active shape model, Micro-expression, Random walk
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Schuller, B.,
Microexpressions: A Chance for Computers to Beat Humans at Detecting
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IEEE DOI
1903
Review of Affectivin Computing articles on microexpressions, Emotion recognition
Artificial intelligence
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AffCom(10), No. 1, January 2019, pp. 7-17.
IEEE DOI
1903
Dataset, Facial Expressions. Videos, Encoding, Face recognition, Training, Lighting, Task analysis,
Databases, Facial expressions, facial action coding system,
corpora
BibRef
Gan, Y.S.,
Liong, S.T.[Sze-Teng],
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SP:IC(74), 2019, pp. 129-139.
Elsevier DOI
1904
Apex, CNN, Optical flow, Micro-expression, Recognition
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Zhi, R.C.[Rui-Cong],
Xu, H.R.[Hai-Rui],
Wan, M.[Ming],
Li, T.T.[Ting-Ting],
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Elsevier DOI
2212
Micro-expression recognition, Supervised contrastive learning,
Motion magnification, Optical flow
BibRef
Tang, M.H.[Ming-Hao],
Zong, Y.[Yuan],
Zheng, W.M.[Wen-Ming],
Dai, J.S.[Ji-Sheng],
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Shi, J.G.[Jin-Gang],
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Combined Static and Motion Features for Deep-Networks-Based Activity
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IEEE DOI
1909
BibRef
Earlier:
Micro Actions and Deep Static Features for Activity Recognition,
DICTA17(1-8)
IEEE DOI
1804
Videos, Electron tubes, Feature extraction, Activity recognition,
Dynamics, Tracking, Fuses, Activity recognition, fusing features,
long short-term memory (LSTM).
entropy, image motion analysis,
image recognition, probability, recurrent neural nets,
Trajectory
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Wang, L.[Lei],
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Elsevier DOI
1909
Micro-expression recognition, Temporal accumulation,
Weighted LBP-TOP feature, Optical flow
BibRef
Happy, S.L.,
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Fuzzy Histogram of Optical Flow Orientations for Micro-Expression
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AffCom(10), No. 3, July 2019, pp. 394-406.
IEEE DOI
1909
Histograms, Feature extraction, Face recognition, Databases,
Integrated optics, Machine learning, Tensile stress,
spatio-temporal features
BibRef
Verma, M.,
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IEEE DOI
1911
Feature extraction, Imaging, Image color analysis, Image sequences,
Convolution, Face recognition, Video sequences, Dynamic imaging,
micro expression recognition
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2005
Action recognition, microactions, dual-branch network,
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Elsevier DOI
2006
Micro-expressions, Mean oriented Riez features, Recognition,
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IEEE DOI
2007
Semantics, Predictive models, Feature extraction, Training,
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IEEE DOI
2009
Task analysis, Data models, Complexity theory, Feature extraction,
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Elsevier DOI
2009
Micro-expression, Multi-scale active patches,
Weighted sparse representation, LBP-TOP
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Li, Y.,
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Joint Local and Global Information Learning With Single Apex Frame
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IEEE DOI
2011
Face recognition, Optical imaging, Frequency-domain analysis,
Feature extraction, Deep learning, Databases,
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Micro-expression recognition, Deep learning,
Micro-expression datasets, Survey
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Facial micro-expressions as a soft biometric for person recognition,
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Elsevier DOI
2102
Person recognition, Multi-modal biometrics, Soft biometrics, Micro-expressions
BibRef
Liu, K.H.[Kun-Hong],
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Xu, H.C.[Huang-Chao],
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2103
Genetic algorithm, Apex, CNN, Optical flow, Micro-expression, Recognition
BibRef
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Spoofed replay attack detection by Multidimensional Fourier transform
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Elsevier DOI
2103
Facial spoofing, Micro-expressions,
Multidimensional Fourier domain, Replay attack
BibRef
Liu, Y.J.,
Li, B.J.,
Lai, Y.K.,
Sparse MDMO: Learning a Discriminative Feature for Micro-Expression
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AffCom(12), No. 1, January 2021, pp. 254-261.
IEEE DOI
2103
Optical imaging, Atom optics, Encoding, Manifolds, Sparse matrices,
Measurement, Dictionaries, Micro-expression, MDMO feature,
recognition
BibRef
Verma, M.,
Vipparthi, S.K.,
Singh, G.,
AffectiveNet: Affective-Motion Feature Learning for Microexpression
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MultMedMag(28), No. 1, January 2021, pp. 17-27.
IEEE DOI
2104
Feature extraction, Task analysis, Computational modeling,
Optical imaging, Optical network units, Image recognition,
micro expression recognition
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Wang, S.J.,
He, Y.,
Li, J.,
Fu, X.,
MESNet: A Convolutional Neural Network for Spotting Multi-Scale
Micro-Expression Intervals in Long Videos,
IP(30), 2021, pp. 3956-3969.
IEEE DOI
2104
Measurement, Convolution, Feature extraction,
Spatiotemporal phenomena, Convolutional neural networks, Videos,
micro-expression spotting
BibRef
He, Y.,
Wang, S.J.,
Li, J.,
Yap, M.H.,
Spotting Macro-and Micro-expression Intervals in Long Video Sequences,
FG20(742-748)
IEEE DOI
2102
Measurement, Video sequences, Faces, Psychology, Time measurement,
Mathematics, Law enforcement
BibRef
Yap, C.H.,
Kendrick, C.,
Yap, M.H.,
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions
Dataset,
FG20(771-776)
IEEE DOI
2102
Videos, Gold, Face recognition, Lips, Measurement, Task analysis,
Support vector machines, micro expressions, macro expressions,
facial action coding system
BibRef
Guo, Y.F.[Yi-Fei],
Li, B.[Bing],
Ben, X.Y.[Xian-Ye],
Ren, Y.[Yi],
Zhang, J.P.[Jun-Ping],
Yan, R.[Rui],
Li, Y.J.[Yu-Jun],
A Magnitude and Angle Combined Optical Flow Feature for
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MultMedMag(28), No. 2, April 2021, pp. 29-39.
IEEE DOI
2107
Brightness, High-speed optical techniques, Task analysis,
Optical flow, Estimation, Smoothing methods, Psychology, Emotion recognition
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Pan, H.[Hang],
Xie, L.[Lun],
Li, J.[Juan],
Lv, Z.P.[Ze-Ping],
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IET-CV(15), No. 6, 2021, pp. 440-448.
DOI Link
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Guermazi, R.[Radhouane],
Ben Abdallah, T.[Taoufik],
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Facial micro-expression recognition based on accordion
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JVCIR(79), 2021, pp. 103183.
Elsevier DOI
2109
BibRef
Earlier: A2, A1, A3:
Using Normal/abnormal Video Sequence Categorization to Efficient Facial
Expression Recognition in the Wild,
ACIVS20(504-516).
Springer DOI
2003
Facial micro-expressions, Pyramid levels' combination,
Accordion representation, Low-dimensional feature space, Proximity measure.
BibRef
Aouayeb, M.[Mouath],
Hamidouche, W.[Wassim],
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Kpalma, K.[Kidiyo],
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SP:IC(99), 2021, pp. 116457.
Elsevier DOI
2111
Micro-expression, Regions of Interest,
Convolutional Neural Network, Long Short Term Memory
BibRef
Li, J.,
Soladie, C.[Catherine],
Seguier, R.[Renaud],
LTP-ML: Micro-Expression Detection by Recognition of Local Temporal
Pattern of Facial Movements,
FG18(634-641)
IEEE DOI
1806
Eyebrows, Face, Feature extraction, Gold, Machine learning,
Measurement, Principal component analysis, Detection,
Micro-expression
BibRef
Zhou, L.[Ling],
Mao, Q.[Qirong],
Huang, X.H.[Xiao-Hua],
Zhang, F.F.[Fei-Fei],
Zhang, Z.H.[Zhi-Hong],
Feature refinement: An expression-specific feature learning and
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PR(122), 2022, pp. 108275.
Elsevier DOI
2112
Micro-expression recognition, Deep learning,
Attention mechanism, Shared feature, Feature refinement
BibRef
Zhu, J.[Jie],
Zong, Y.[Yuan],
Chang, H.L.[Hong-Li],
Zhao, L.[Li],
Tang, C.G.[Chuan-Gao],
Joint Patch Weighting and Moment Matching for Unsupervised Domain
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IEICE(E105-D), No. 2, February 2022, pp. 441-445.
WWW Link.
2202
BibRef
Zhou, Y.[Ying],
Song, Y.X.[Yan-Xin],
Chen, L.[Lei],
Chen, Y.[Yang],
Ben, X.Y.[Xian-Ye],
Cao, Y.[Yewen],
A novel micro-expression detection algorithm based on BERT and 3DCNN,
IVC(119), 2022, pp. 104378.
Elsevier DOI
2202
Micro-expression detection, 3DCNN, BERT
BibRef
Cen, S.X.[Shi-Xin],
Yu, Y.[Yang],
Yan, G.[Gang],
Yu, M.[Ming],
Guo, Y.Q.[Yu-Qiang],
Multi-task Facial Activity Patterns Learning for micro-expression
recognition using Joint Temporal Local Cube Binary Pattern,
SP:IC(103), 2022, pp. 116616.
Elsevier DOI
2203
Micro-expression recognition,
Joint temporal local cube binary pattern, Facial action unit,
Feature selection
BibRef
Allaert, B.[Benjamin],
Bilasco, I.M.[Ioan Marius],
Djeraba, C.[Chaabane],
Micro and Macro Facial Expression Recognition Using Advanced Local
Motion Patterns,
AffCom(13), No. 1, January 2022, pp. 147-158.
IEEE DOI
2203
Face, Face recognition, Feature extraction, Strain,
Motion segmentation, Skin, Macro expression, micro expression,
local motion patterns
BibRef
Mi, Y.[Yang],
Liu, Z.H.[Zhi-Hao],
Zhao, K.[Kai],
Wang, S.[Song],
Recognizing micro actions in videos by learning multi-layer local
features,
PRL(158), 2022, pp. 55-62.
Elsevier DOI
2205
Action recognition, Micro action, Lower-level layers, Local features
BibRef
Sun, B.[Bo],
Cao, S.[Siming],
Li, D.L.[Dong-Liang],
He, J.[Jun],
Yu, L.[Lejun],
Dynamic Micro-Expression Recognition Using Knowledge Distillation,
AffCom(13), No. 2, April 2022, pp. 1037-1043.
IEEE DOI
2206
Feature extraction, Gold, Neural networks, Face, Machine learning,
Encoding, Knowledge engineering, Micro-expression recognition,
deep learning
BibRef
Ben, X.[Xianye],
Ren, Y.[Yi],
Zhang, J.P.[Jun-Ping],
Wang, S.J.[Su-Jing],
Kpalma, K.[Kidiyo],
Meng, W.X.[Wei-Xiao],
Liu, Y.J.[Yong-Jin],
Video-Based Facial Micro-Expression Analysis: A Survey of Datasets,
Features and Algorithms,
PAMI(44), No. 9, September 2022, pp. 5826-5846.
IEEE DOI
2208
Face recognition, Muscles, Neural pathways, Facial muscles,
Emotion recognition, Image sequences, Transient analysis,
datasets
BibRef
Zhang, J.J.[Jun-Jie],
Sun, G.M.[Guang-Min],
Zheng, K.[Kun],
Mazhar, S.[Sarah],
Fu, X.H.[Xiao-Hui],
Li, Y.[Yu],
Yu, H.[Hui],
SSGNN: A Macro and Microfacial Expression Recognition Graph Neural
Network Combining Spatial and Spectral Domain Features,
HMS(52), No. 4, August 2022, pp. 747-760.
IEEE DOI
2208
Feature extraction, Spectral analysis,
Convolutional neural networks, Training data, Face recognition,
spectral domain
BibRef
Pan, H.[Hang],
Xie, L.[Lun],
Wang, Z.L.[Zhi-Liang],
Spatio-temporal convolutional emotional attention network for
spotting macro- and micro-expression intervals in long video
sequences,
PRL(162), 2022, pp. 89-96.
Elsevier DOI
2210
BibRef
Earlier:
Local Bilinear Convolutional Neural Network for Spotting Macro- and
Micro-expression Intervals in Long Video Sequences,
FG20(749-753)
IEEE DOI
2102
Macro-expression, Micro-expression, Attention model,
Convolution, Spatio-temporal feature.
Face recognition, Video sequences, Databases,
Convolutional neural networks, Feature extraction,
Spotting Micro expression
BibRef
Fan, X.[Xinqi],
Shahid, A.R.[Ali Raza],
Yan, H.[Hong],
Edge-aware motion based facial micro-expression generation with
attention mechanism,
PRL(162), 2022, pp. 97-104.
Elsevier DOI
2210
Facial micro-expression generation,
Edge-aware motion based generation, Multi-head self-attention
BibRef
Zhu, J.[Jie],
Zong, Y.[Yuan],
Chang, H.L.[Hong-Li],
Xiao, Y.[Yushun],
Zhao, L.[Li],
A Sparse-Based Transformer Network With Associated Spatiotemporal
Feature for Micro-Expression Recognition,
SPLetters(29), 2022, pp. 2073-2077.
IEEE DOI
2211
Transformers, Feature extraction, Spatiotemporal phenomena,
Encoding, Convolution, Video sequences,
micro-expression recognition
BibRef
Zhang, L.[Liangfei],
Hong, X.P.[Xiao-Peng],
Arandjelovic, O.[Ognjen],
Zhao, G.Y.[Guo-Ying],
Short and Long Range Relation Based Spatio-Temporal Transformer for
Micro-Expression Recognition,
AffCom(13), No. 4, October 2022, pp. 1973-1985.
IEEE DOI
2212
Feature extraction, Transformers, Deep learning, Task analysis,
Optical flow, Histograms, Face recognition, Emotion recognition,
self-attention mechanism
BibRef
Mao, Q.[Qirong],
Zhou, L.[Ling],
Zheng, W.M.[Wen-Ming],
Shao, X.[Xiuyan],
Huang, X.H.[Xiao-Hua],
Objective Class-Based Micro-Expression Recognition Under Partial
Occlusion Via Region-Inspired Relation Reasoning Network,
AffCom(13), No. 4, October 2022, pp. 1998-2016.
IEEE DOI
2212
Face recognition, Databases, Cognition, Feature extraction,
Task analysis, Optical fiber networks, Optical sensors,
self-attention
BibRef
Li, Y.[Yante],
Wei, J.S.[Jin-Sheng],
Liu, Y.[Yang],
Kauttonen, J.[Janne],
Zhao, G.Y.[Guo-Ying],
Deep Learning for Micro-Expression Recognition: A Survey,
AffCom(13), No. 4, October 2022, pp. 2028-2046.
IEEE DOI
2212
Videos, Databases, Iron, Annotations, Deep learning, Cameras, Lips,
Micro-expression recognition, deep learning, Survey
BibRef
He, Y.H.[Yu-Hong],
Xu, Z.L.[Zhong-Liang],
Ma, L.[Lin],
Li, H.F.[Hai-Feng],
Micro-expression spotting based on optical flow features,
PRL(163), 2022, pp. 57-64.
Elsevier DOI
2212
Micro-expression spotting method, Farneback optical flow method, Overlap index
BibRef
Wang, M.Z.[Ming-Zhong],
Wang, Q.[Qi],
Wang, Q.S.[Qing-Shan],
Zheng, Z.W.[Zhi-Wen],
A fixed-point rotation-based feature selection method for
micro-expression recognition,
PRL(164), 2022, pp. 261-267.
Elsevier DOI
2212
Micro-expression recognition, Quaternion,
Differential energy image, Fixed-point rotation, Feature selection
BibRef
Zou, B.[Bochao],
Wang, Y.X.[Ying-Xue],
Zhang, X.L.[Xiao-Long],
Lyu, X.[Xiangwen],
Ma, H.M.[Hui-Min],
Concordance between facial micro-expressions and physiological
signals under emotion elicitation,
PRL(164), 2022, pp. 200-209.
Elsevier DOI
2212
Affective computing, Micro-expressions, Physiological signals, Concordance
BibRef
Liong, G.B.[Gen-Bing],
See, J.[John],
Chan, C.S.[Chee-Seng],
Spot-then-Recognize: A Micro-Expression Analysis Network for Seamless
Evaluation of Long Videos,
SP:IC(110), 2023, pp. 116875.
Elsevier DOI
2212
Facial Micro-Expression, Spotting, Recognition,
Optical flow features, Shallow neural networks
BibRef
Dong, Z.Z.[Zi-Zhao],
Wang, G.[Gang],
Lu, S.Y.[Shao-Yuan],
Dai, L.[Luyao],
Huang, S.C.[Shu-Cheng],
Liu, Y.[Ye],
Intentional-Deception Detection Based on Facial Muscle Movements in
an Interactive Social Context,
PRL(164), 2022, pp. 30-39.
Elsevier DOI
2212
Intentional-deception detection, Micro-expression,
Facial electrophysiological, Feature selection
BibRef
Sun, X.[Xiao],
Lang, J.J.[Jun-Jie],
Zheng, S.X.[Shi-Xing],
Huang, Y.[Yating],
Wang, M.[Meng],
Dual Expression Fusion:
A Universal Microexpression Recognition Framework,
MultMedMag(29), No. 4, October 2022, pp. 48-58.
IEEE DOI
2301
Feature extraction, Face recognition, Facial features,
Emotion recognition, Encoding, Deep learning, Video sequences
BibRef
Yang, B.[Bo],
Wu, J.M.[Jian-Ming],
Ikeda, K.[Kazushi],
Hattori, G.[Gen],
Sugano, M.[Masaru],
Iwasawa, Y.[Yusuke],
Matsuo, Y.[Yutaka],
Deep Learning Pipeline for Spotting Macro- and Micro-expressions in
Long Video Sequences Based on Action Units and Optical Flow,
PRL(165), 2023, pp. 63-74.
Elsevier DOI
2301
deep learning, macro-expression, micro-expression, action units, optical flow
BibRef
Li, J.T.[Jing-Ting],
Soladié, C.[Catherine],
Séguier, R.[Renaud],
Local Temporal Pattern and Data Augmentation for Spotting
Micro-Expressions,
AffCom(14), No. 1, January 2023, pp. 811-822.
IEEE DOI
2303
Feature extraction, Databases, Training, Machine learning,
Machine learning algorithms, Magnetic heads, Data mining,
Hammerstein model
BibRef
Wang, T.H.[Tian-Hao],
Shang, L.[Lin],
Temporal augmented contrastive learning for micro-expression
recognition,
PRL(167), 2023, pp. 122-131.
Elsevier DOI
2303
Micro expression recognition, Momentum contrastive learning,
Temporal augmentation, Generative adversarial learning, Inception network
BibRef
Li, S.[Sunan],
Zong, Y.[Yuan],
Lu, C.[Cheng],
Tang, C.G.[Chuan-Gan],
Zhao, Y.[Yan],
Group Sparse Reduced Rank Tensor Regression for Micro-Expression
Recognition,
IEICE(E106-D), No. 4, April 2023, pp. 575-578.
WWW Link.
2304
BibRef
Guo, X.P.[Xu-Peng],
Zhang, X.B.[Xiao-Biao],
Li, L.[Lei],
Xia, Z.Q.[Zhao-Qiang],
Micro-expression spotting with multi-scale local transformer in long
videos,
PRL(168), 2023, pp. 146-152.
Elsevier DOI
2304
Micro-expression spotting, Convolutional network, Local transformer
BibRef
Chen, B.[Bin],
Liu, K.H.[Kun-Hong],
Xu, Y.[Yong],
Wu, Q.Q.[Qing-Qiang],
Yao, J.F.[Jun-Feng],
Block Division Convolutional Network With Implicit Deep Features
Augmentation for Micro-Expression Recognition,
MultMed(25), 2023, pp. 1345-1358.
IEEE DOI
2305
Feature extraction, Task analysis, Data mining, Strain,
Spatiotemporal phenomena, Optical flow,
micro-expression recognition
BibRef
Sun, M.X.[Meng-Xin],
Chen, L.Y.[Li-Yan],
Liu, K.H.[Kun-Hong],
Liong, S.T.[Sze-Teng],
Wu, Q.Q.[Qing-Qiang],
Feature Elimination through Data Complexity for Error-Correcting
Output Codes based micro-expression recognition,
SP:IC(115), 2023, pp. 116962.
Elsevier DOI
2306
Error-Correcting Output Codes (ECOC),
Micro-Expression recognition, Data complexity, Feature elimination
BibRef
Chen, G.[Gan],
Peng, J.J.[Jun-Jie],
Zhang, W.Q.[Wen-Qiang],
Huang, K.[Kanrun],
Cheng, F.[Feng],
Yuan, H.C.[Hao-Chen],
Huang, Y.S.[Yan-Song],
A Region Group Adaptive Attention Model For Subtle Expression
Recognition,
AffCom(14), No. 2, April 2023, pp. 1613-1626.
IEEE DOI
2306
Face recognition, Feature extraction, Muscles, Adaptation models,
Psychology, Estimation, Convolutional neural networks,
subtle expression recognition
BibRef
Gupta, P.[Puneet],
MERASTC: Micro-Expression Recognition Using Effective Feature
Encodings and 2D Convolutional Neural Network,
AffCom(14), No. 2, April 2023, pp. 1431-1441.
IEEE DOI
2306
Face recognition, Feature extraction, Encoding, Deep learning,
Optical network units, Training data, Strain,
spatiotemporal CNN
BibRef
Xie, H.X.[Hong-Xia],
Lo, L.[Ling],
Shuai, H.H.[Hong-Han],
Cheng, W.H.[Wen-Huang],
An Overview of Facial Micro-Expression Analysis: Data, Methodology
and Challenge,
AffCom(14), No. 3, July 2023, pp. 1857-1875.
IEEE DOI
2310
BibRef
Zhao, G.Y.[Guo-Ying],
Li, X.B.[Xiao-Bai],
Li, Y.[Yante],
Pietikäinen, M.[Matti],
Facial Micro-Expressions: An Overview,
PIEEE(111), No. 10, October 2023, pp. 1215-1235.
IEEE DOI
2310
Survey, Micro-Expressions.
BibRef
Wei, J.S.[Jin-Sheng],
Chen, H.Y.[Hao-Yu],
Lu, G.M.[Guan-Ming],
Yan, J.J.[Jing-Jie],
Xie, Y.[Yue],
Zhao, G.Y.[Guo-Ying],
Prior Information Based Decomposition and Reconstruction Learning for
Micro-Expression Recognition,
IEICE(E106-D), No. 10, October 2023, pp. 1752-1756.
WWW Link.
2310
BibRef
Ben, X.Y.[Xian-Ye],
Gong, C.[Chen],
Huang, T.H.[Tian-Huan],
Li, C.Y.[Chuan-Ye],
Yan, R.[Rui],
Li, Y.J.[Yu-Jun],
Tackling Micro-Expression Data Shortage via Dataset Alignment and
Active Learning,
MultMed(25), 2023, pp. 5429-5443.
IEEE DOI
2311
BibRef
Zhou, J.X.[Jian-Xiong],
Wu, Y.[Ying],
Micro-expression spotting with a novel wavelet convolution
magnification network in long videos,
PRL(178), 2024, pp. 130-137.
Elsevier DOI
2402
Wavelet convolution magnification network, Micro-expression spotting,
Recognition, Optical flow features, Feature enhancement
BibRef
Yu, W.W.[Wang-Wang],
Jiang, J.W.[Jing-Wen],
Yang, K.F.[Kai-Fu],
Yan, H.M.[Hong-Mei],
Li, Y.J.[Yong-Jie],
LGSNet: A Two-Stream Network for Micro- and Macro-Expression Spotting
With Background Modeling,
AffCom(15), No. 1, January 2024, pp. 223-240.
IEEE DOI
2403
Task analysis, Proposals, Face recognition, Feature extraction,
Optical imaging, Training, Manuals, Background modeling,
convolutional neural networks
BibRef
Varanka, T.[Tuomas],
Li, Y.[Yante],
Peng, W.[Wei],
Zhao, G.Y.[Guo-Ying],
Data Leakage and Evaluation Issues in Micro-Expression Analysis,
AffCom(15), No. 1, January 2024, pp. 186-197.
IEEE DOI Code:
WWW Link.
2403
Protocols, Gold, Facial muscles, Training, Lips, Libraries, Data models,
Action units, affective computing, benchmark, cross-dataset, emotion, protocol
BibRef
Li, D.[Deng],
Xing, B.[Bohao],
Liu, X.[Xin],
Enhancing Micro Gesture Recognition for Emotion Understanding via
Context-Aware Visual-Text Contrastive Learning,
SPLetters(31), 2024, pp. 1309-1313.
IEEE DOI
2405
Visualization, Gesture recognition, Self-supervised learning,
Feature extraction, Task analysis, Transformers, Skeleton,
multimodality learning
BibRef
Guo, D.[Dan],
Li, K.[Kun],
Hu, B.[Bin],
Zhang, Y.[Yan],
Wang, M.[Meng],
Benchmarking Micro-Action Recognition:
Dataset, Methods, and Applications,
CirSysVideo(34), No. 7, July 2024, pp. 6238-6252.
IEEE DOI Code:
WWW Link.
2407
Task analysis, Legged locomotion, Psychology, Interviews, Foot,
Semantics, Mars, Micro-action, body language,
action analysis
BibRef
Huang, P.[Pinyi],
Wang, L.[Lei],
Cai, T.F.[Tian-Fu],
Guo, K.[Kehua],
Micro-Expression Recognition with Layered Relations and More Input
Frames,
ICIP23(2210-2214)
IEEE DOI
2312
BibRef
Kumar, A.J.R.[Ankith Jain Rakesh],
Bhanu, B.[Bir],
Relational Edge-Node Graph Attention Network for Classification of
Micro-Expressions,
ABAW23(5819-5828)
IEEE DOI
2309
BibRef
Zhai, Z.J.[Zhi-Jun],
Zhao, J.H.[Jian-Hui],
Long, C.J.[Cheng-Jiang],
Xu, W.J.[Wen-Ju],
He, S.J.[Shuang-Jiang],
Zhao, H.J.[Hui-Juan],
Feature Representation Learning with Adaptive Displacement Generation
and Transformer Fusion for Micro-Expression Recognition,
CVPR23(22086-22095)
IEEE DOI
2309
BibRef
Fan, X.[Xinqi],
Chen, X.[Xueli],
Jiang, M.J.[Ming-Jie],
Shahid, A.R.[Ali Raza],
Yan, H.[Hong],
SelfME: Self-Supervised Motion Learning for Micro-Expression
Recognition,
CVPR23(13834-13843)
IEEE DOI
2309
BibRef
Nguyen, X.B.[Xuan-Bac],
Duong, C.N.[Chi Nhan],
Li, X.[Xin],
Gauch, S.[Susan],
Seo, H.S.[Han-Seok],
Luu, K.[Khoa],
Micron-BERT: BERT-Based Facial Micro-Expression Recognition,
CVPR23(1482-1492)
IEEE DOI
2309
BibRef
Shukla, S.[Saurav],
Rai, P.K.[Prabodh Kant],
Verlekar, T.T.[Tanmay T.],
Micro-Expression Recognition Using a Shallow Convlstm-based Network,
ACCVWS22(19-30).
Springer DOI
2307
BibRef
Li, Y.[Yante],
Peng, W.[Wei],
Zhao, G.Y.[Guo-Ying],
Micro-expression Action Unit Detection with Dual-view Attentive
Similarity-Preserving Knowledge Distillation,
FG21(01-08)
IEEE DOI
2303
Knowledge engineering, Face recognition,
Transfer learning, Gesture recognition, Encoding
BibRef
Verma, M.[Monu],
Lubal, P.[Priyanka],
Vipparthi, S.K.[Santosh Kumar],
Abdel-Mottaleb, M.[Mohamed],
RNAS-MER: A Refined Neural Architecture Search with Hybrid
Spatiotemporal Operations for Micro-Expression Recognition,
WACV23(4759-4768)
IEEE DOI
2302
Training, Convolution, Microprocessors, Stacking, Benchmark testing,
Algorithms: Image recognition and understanding.
BibRef
Yang, P.C.[Peng-Cheng],
Jin, H.M.[Hong-Mei],
Li, Z.L.[Zhan-Li],
Combining Attention Mechanism and Dual-Stream 3D Convolutional Neural
Network for Micro-expression Recognition,
ICIVC22(51-59)
IEEE DOI
2301
Training, Solid modeling, Face recognition, Computational modeling,
Feature extraction, Data models, micro-expression recognition, 3D BN layer
BibRef
Tang, Y.[Yutao],
Béjar, B.[Benjamín],
Essoe, J.K.Y.[Joey K.Y.],
McGuire, J.F.[Joseph F.],
Vidal, R.[René],
Facial Tic Detection in Untrimmed Videos of Tourette Syndrome
Patients,
ICPR22(3152-3159)
IEEE DOI
2212
Performance evaluation, Gold, Pediatrics, Medical treatment,
Feature extraction, Behavioral sciences
BibRef
Wei, M.T.[Meng-Ting],
Zheng, W.M.[Wen-Ming],
Jiang, X.X.[Xing-Xun],
Zong, Y.[Yuan],
Lu, C.[Cheng],
Liu, J.[Jiateng],
A Novel Magnification-Robust Network with Sparse Self-Attention for
Micro-Expression Recognition,
ICPR22(1120-1126)
IEEE DOI
2212
Databases, Computational modeling, Feature extraction,
Sparse matrices, Computational complexity, Standards
BibRef
Liu, Y.[Yuchi],
Wang, Z.[Zhongdao],
Gedeon, T.[Tom],
Zheng, L.[Liang],
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?,
ECCV22(VIII:38-55).
Springer DOI
2211
BibRef
Leong, S.M.[Shu-Min],
Noman, F.[Fuad],
Phan, R.C.W.[Raphaël C.W.],
Baskaran, V.M.[Vishnu Monn],
Ting, C.M.[Chee-Ming],
GraphEx: Facial Action Unit Graph for Micro-Expression Classification,
ICIP22(3296-3300)
IEEE DOI
2211
Representation learning, Performance evaluation, Gold,
Image recognition, Face recognition, Muscles, Facial action units,
relation graph
BibRef
Kumar, A.J.R.[Ankith Jain Rakesh],
Bhanu, B.[Bir],
Three Stream Graph Attention Network using Dynamic Patch Selection
for the classification of micro-expressions,
ABAW22(2475-2484)
IEEE DOI
2210
Emotion recognition, Face recognition,
Feature extraction, Skin, Facial muscles
BibRef
Bai, M.J.[Meng-Jiong],
Goecke, R.[Roland],
Herath, D.[Damith],
Micro-Expression Recognition Based on Video Motion Magnification and
Pre-Trained Neural Network,
ICIP21(549-553)
IEEE DOI
2201
Image recognition, Databases, Neural networks, Government, Manuals,
Feature extraction, Micro-expression recognition, Spatio-temporal network
BibRef
Esmaeili, V.[Vida],
Feghhi, M.M.[Mahmood Mohassel],
Shahdi, S.O.[Seyed Omid],
Micro-Expression Recognition Using Histogram of Image Gradient
Orientation on Diagonal Planes,
IPRIA21(1-5)
IEEE DOI
2201
Support vector machines, Histograms, Image recognition,
Image analysis, Lighting, Feature extraction,
support vector machine
BibRef
van Heugten Breurkes, J.[Jack],
Green, R.[Richard],
Autonomous Detection of Facial Tics in Video Recordings,
IVCNZ21(1-6)
IEEE DOI
2201
Support vector machines, Emotion recognition, Tracking,
Streaming media, Biomedical monitoring, Facial features,
facial movement detection
BibRef
Liong, G.B.[Gen-Bing],
See, J.[John],
Wong, L.K.[Lai-Kuan],
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression
Spotting from Long Videos,
ICIP21(2643-2647)
IEEE DOI
2201
Measurement, Image processing, Object detection, Benchmark testing,
Predictive models, Task analysis, Micro-expression,
shallow CNN
BibRef
Oh, G.[Geesung],
Jeong, E.[Euiseok],
Lim, S.[Sejoon],
Causal affect prediction model using a past facial image sequence,
ABAW21(3543-3549)
IEEE DOI
2112
Deep learning, Computational modeling, Face recognition,
Supervised learning, Predictive models, Real-time systems, Filling
BibRef
Liu, X.[Xin],
Shi, H.L.[Heng-Lin],
Chen, H.Y.[Hao-Yu],
Yu, Z.T.[Zi-Tong],
Li, X.B.[Xiao-Bai],
Zhao, G.Y.[Guo-Ying],
iMiGUE: An Identity-free Video Dataset for Micro-Gesture
Understanding and Emotion Analysis,
CVPR21(10626-10637)
IEEE DOI
2111
Emotion recognition, Analytical models,
Face recognition, Computational modeling, Prototypes
BibRef
Kumar, A.J.R.[Ankith Jain Rakesh],
Bhanu, B.[Bir],
Micro-Expression Classification based on Landmark Relations with
Graph Attention Convolutional Network,
AMFG21(1511-1520)
IEEE DOI
2109
Feature extraction, Facial muscles,
Pattern recognition, Optical flow
BibRef
Lei, L.[Ling],
Chen, T.[Tong],
Li, S.G.[Shi-Gang],
Li, J.F.[Jian-Feng],
Micro-expression Recognition Based on Facial Graph Representation
Learning and Facial Action Unit Fusion,
AUVi21(1571-1580)
IEEE DOI
2109
Protocols, Convolution, Face recognition,
Pipelines, Feature extraction
BibRef
Kumar, A.J.R.[Ankith Jain Rakesh],
Bhanu, B.[Bir],
Casey, C.[Christopher],
Cheung, S.G.[Sierra Grace],
Seitz, A.[Aaron],
Depth Videos for the Classification of Micro-Expressions,
ICPR21(5278-5285)
IEEE DOI
2105
Deep learning, Privacy, Face recognition, Lighting,
Medical treatment, Games, Muscles
BibRef
He, L.,
Shen, X.,
Chen, Z.,
Li, K.,
Liu, Z.,
Zhuo, R.,
The Ability to Recognize Microexpression and Detect Deception in the
Elderly,
FG20(761-764)
IEEE DOI
2102
Senior citizens, Emotion recognition, Correlation, Task analysis,
Face recognition, Character recognition, Standards
BibRef
Zhang, L.W.,
Li, J.,
Wang, S.J.,
Duan, X.H.,
Yan, W.J.,
Xie, H.Y.,
Huang, S.C.,
Spatio-temporal fusion for Macro- and Micro-expression Spotting in
Long Video Sequences,
FG20(734-741)
IEEE DOI
2102
Optical imaging, Feature extraction, Nose, Optical filters, Faces,
Databases, Face recognition
BibRef
Merghani, W.,
Yap, M.H.,
Adaptive Mask for Region-based Facial Micro-Expression Recognition,
FG20(765-770)
IEEE DOI
2102
Face recognition, Feature extraction, Smoothing methods,
Optical imaging, Deep learning, Optimization, Optical noise,
FME
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Vitulano, D.[Domenico],
SSIM Based Signature of Facial Micro-expressions,
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Springer DOI
2007
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Shahar, H.,
Hel-Or, H.,
Micro Expression Classification using Facial Color and Deep Learning
Methods,
CVPM19(1673-1680)
IEEE DOI
2004
emotion recognition, face recognition, feature extraction,
image colour analysis, learning (artificial intelligence),
facial color
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Wang, Y.H.[Ya-Hui],
Ma, H.M.[Hui-Min],
Xing, X.P.[Xin-Peng],
Pan, Z.[Zeyu],
Eulerian Motion Based 3dcnn Architecture for Facial Micro-expression
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MMMod20(I:266-277).
Springer DOI
2003
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Khor, H.,
See, J.,
Liong, S.,
Phan, R.C.W.,
Lin, W.,
Dual-stream Shallow Networks for Facial Micro-expression Recognition,
ICIP19(36-40)
IEEE DOI
1910
Micro-expression, recognition, apex frame, dual-stream networks, shallow CNN
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Belaiche, R.[Reda],
Sabour, R.M.[Rita Meziati],
Migniot, C.[Cyrille],
Benezeth, Y.[Yannick],
Ginhac, D.[Dominique],
Nakamura, K.[Keisuke],
Gomez, R.[Randy],
Yang, F.[Fan],
Emotional State Recognition with Micro-expressions and Pulse Rate
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CIAP19(I:26-35).
Springer DOI
1909
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Ding, J.[Jing],
Tian, Z.[Zi],
Lyu, X.W.[Xiang-Wen],
Wang, Q.[Quande],
Zou, B.[Bochao],
Xie, H.[Haiyong],
Real-Time Micro-expression Detection in Unlabeled Long Videos Using
Optical Flow and LSTM Neural Network,
CAIP19(I:622-634).
Springer DOI
1909
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Takalkar, M.A.[Madhumita A.],
Zhang, H.M.[Hai-Min],
Xu, M.[Min],
Improving Micro-expression Recognition Accuracy Using Twofold Feature
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MMMod19(I:652-664).
Springer DOI
1901
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Hu, C.,
Jiang, D.,
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Zuo, X.,
Shu, Y.,
Multi-task Micro-expression Recognition Combining Deep and
Handcrafted Features,
ICPR18(946-951)
IEEE DOI
1812
Feature extraction, Task analysis, Face recognition, Face,
Histograms, facial expression recognition, multi-task leanring, deep leanring
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Choi, D.Y.,
Kim, D.H.,
Song, B.C.,
Recognizing Fine Facial Micro-Expressions Using Two-Dimensional
Landmark Feature,
ICIP18(1962-1966)
IEEE DOI
1809
Frequency modulation, Videos,
Emotion recognition, Classification algorithms, Face,
emotion recognition
BibRef
Li, Y.,
Huang, X.,
Zhao, G.,
Can Micro-Expression be Recognized Based on Single Apex Frame?,
ICIP18(3094-3098)
IEEE DOI
1809
Frequency-domain analysis, Face recognition, Machine learning,
Optical imaging, Integrated optics,
Deep Convolutional Neural Network
BibRef
Jahoda, P.,
Vobecky, A.,
Cech, J.,
Matas, J.G.,
Detecting Decision Ambiguity from Facial Images,
FG18(499-503)
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1806
Face, Games, Standards, TV, Training, Uncertainty, Videos, Face, doubts,
facial expression, hesitation, images, uncertainty
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Vinkemeier, D.,
Valstar, M.,
Gratch, J.,
Predicting Folds in Poker Using Action Unit Detectors and Decision
Trees,
FG18(504-511)
IEEE DOI
1806
Databases, Decision trees, Detectors,
Facial muscles, Games, automatic facial analysis, human behaviour,
machine learning
BibRef
Davison, A.,
Merghani, W.,
Lansley, C.,
Ng, C.C.,
Yap, M.H.,
Objective Micro-Facial Movement Detection Using FACS-Based Regions
and Baseline Evaluation,
FG18(642-649)
IEEE DOI
1806
Face, Facial features, Feature extraction, Histograms, Optical flow,
Strain, micro-movements
BibRef
Ngo, A.C.L.[A. C. Le],
Johnston, A.,
Phan, R.C.W.,
See, J.,
Micro-Expression Motion Magnification: Global Lagrangian vs. Local
Eulerian Approaches,
FG18(650-656)
IEEE DOI
1806
Databases, Distortion, Dynamics, Feature extraction,
Machine learning, Protocols, Training, Eulerian, Lagrangian,
Multi-channel gradient model
BibRef
Peng, M.,
Wu, Z.,
Zhang, Z.,
Chen, T.,
From Macro to Micro Expression Recognition: Deep Learning on Small
Datasets Using Transfer Learning,
FG18(657-661)
IEEE DOI
1806
Databases, Face, Face recognition, Feature extraction,
Image recognition, Task analysis, Training, deep learning,
trasnfer learning
BibRef
LI, J.,
Wang, S.J.,
Yap, M.H.,
See, J.,
Hong, X.,
Li, X.,
MEGC2020 - The Third Facial Micro-Expression Grand Challenge,
FG20(777-780)
IEEE DOI
2102
Videos, Task analysis, Feature extraction, Databases,
Optical imaging, Face recognition
BibRef
Yap, M.H.,
See, J.,
Hong, X.,
Wang, S.J.,
Facial Micro-Expressions Grand Challenge 2018 Summary,
FG18(675-678)
IEEE DOI
1806
Databases, Face, Feature extraction, Machine learning, Task analysis,
Testing, Training, CASME II, Challenge, Facial micro expressions,
SAMM, objective classes
BibRef
Merghani, W.,
Davison, A.,
Yap, M.,
Facial Micro-Expressions Grand Challenge 2018: Evaluating
Spatio-Temporal Features for Classification of Objective Classes,
FG18(662-666)
IEEE DOI
1806
Databases, Encoding, Histograms, Optical imaging, Optimization,
Task analysis, block-based,
objective classes
BibRef
Khor, H.Q.,
See, J.,
Phan, R.C.W.,
Lin, W.,
Enriched Long-Term Recurrent Convolutional Network for Facial
Micro-Expression Recognition,
FG18(667-674)
IEEE DOI
1806
Data models, Databases, Face, Feature extraction, Nonlinear optics,
Optical imaging, Strain, LRCN, Micro-Expression Recognition,
objective class
BibRef
Duque, C.A.,
Alata, O.,
Emonet, R.,
Legrand, A.C.,
Konik, H.,
Micro-Expression Spotting Using the Riesz Pyramid,
WACV18(66-74)
IEEE DOI
1806
emotion recognition, eye, face recognition, image sequences,
video signal processing, ME spotting, MEs, Riesz pyramid,
Transforms
BibRef
Takalkar, M.A.,
Xu, M.,
Image Based Facial Micro-Expression Recognition Using Deep Learning
on Small Datasets,
DICTA17(1-7)
IEEE DOI
1804
Gabor filters, emotion recognition,
face recognition, feature extraction, image classification,
Videos
BibRef
Khalifa, H.,
Babiker, B.,
Goebel, R.,
Cheng, I.,
Facial expression recognition using SVM classification on mic-macro
patterns,
ICIP17(1757-1761)
IEEE DOI
1803
Voltage control, Facial expression, dual-view expression,
macro-pattern, micro-pattern, salient features, support vector machine
BibRef
Tran, T.K.[Thuong-Khanh],
Hong, X.P.[Xiao-Peng],
Zhao, G.Y.[Guo-Ying],
Sliding Window Based Micro-expression Spotting: A Benchmark,
ACIVS17(542-553).
Springer DOI
1712
BibRef
Grobova, J.,
Colovic, M.,
Marjanovic, M.,
Njegus, A.,
Demire, H.,
Anbarjafari, G.,
Automatic Hidden Sadness Detection Using Micro-Expressions,
FG17(828-832)
IEEE DOI
1707
Databases, Face, Face recognition, Feature extraction,
Radio frequency, Support vector machines, Videos
BibRef
Patel, D.[Devangini],
Hong, X.,
Zhao, G.,
Selective deep features for micro-expression recognition,
ICPR16(2258-2263)
IEEE DOI
1705
Face, Face recognition, Feature extraction,
Spatiotemporal phenomena, Standards, Support vector machines, Training
BibRef
Zhang, M.[Ming],
Chen, Y.H.[Yu-Hsin],
Fu, X.L.[Xiao-Lan],
Suppression of Alpha Oscillation During Micro-expression Recognition,
SFBA16(I: 544-551).
Springer DOI
1704
BibRef
Kooij, J.F.P.[Julian F. P.],
van Gemert, J.C.[Jan C.],
Depth-Aware Motion Magnification,
ECCV16(VIII: 467-482).
Springer DOI
1611
Using RGB-D.
BibRef
Ponce-López, V.[Víctor],
Chen, B.[Baiyu],
Oliu Simón, M.[Marc],
Corneanu, C.A.[Ciprian A.],
Clapés, A.[Albert],
Guyon, I.[Isabelle],
Baró, X.[Xavier],
Escalante, H.J.[Hugo Jair],
Escalera, S.[Sergio],
ChaLearn LAP 2016: First Round Challenge on First Impressions: Dataset
and Results,
ChaLearn16(III: 400-418).
Springer DOI
1611
BibRef
Subramaniam, A.[Arulkumar],
Patel, V.[Vismay],
Mishra, A.[Ashish],
Balasubramanian, P.[Prashanth],
Mittal, A.[Anurag],
Bi-modal First Impressions Recognition Using Temporally Ordered Deep
Audio and Stochastic Visual Features,
ChaLearn16(III: 337-348).
Springer DOI
1611
BibRef
Gürpinar, F.[Furkan],
Kaya, H.[Heysem],
Dibeklioglu, H.,
Salah, A.A.[Albert Ali],
Kernel ELM and CNN Based Facial Age Estimation,
ChaLearn16(785-791)
IEEE DOI
1612
BibRef
Gürpinar, F.[Furkan],
Kaya, H.[Heysem],
Salah, A.A.[Albert Ali],
Combining Deep Facial and Ambient Features for First Impression
Estimation,
ChaLearn16(III: 372-385).
Springer DOI
1611
BibRef
Tiwari, C.,
Hanmandlu, M.,
Vasikarla, S.,
Suspicious Face Detection based on Eye and other facial features
movement monitoring,
AIPR15(1-8)
IEEE DOI
1605
feature extraction
BibRef
Wang, S.J.[Su-Jing],
Yan, W.J.[Wen-Jing],
Li, X.B.[Xiao-Bai],
Zhao, G.Y.[Guo-Ying],
Fu, X.L.[Xiao-Lan],
Micro-expression Recognition Using Dynamic Textures on Tensor
Independent Color Space,
ICPR14(4678-4683)
IEEE DOI
1412
brief involuntary facial expression. Reveals emotion.
BibRef
Wang, Y.[Yandan],
See, J.[John],
Phan, R.C.W.[Raphael C.W.],
Oh, Y.H.[Yee-Hui],
LBP with Six Intersection Points: Reducing Redundant Information in
LBP-TOP for Micro-expression Recognition,
ACCV14(I: 525-537).
Springer DOI
1504
BibRef
Liong, S.T.[Sze-Teng],
See, J.[John],
Phan, R.C.W.[Raphael C.W.],
Ngo, A.C.L.[Anh Cat Le],
Oh, Y.H.[Yee-Hui],
Wong, K.[Kok_Sheik],
Subtle Expression Recognition Using Optical Strain Weighted Features,
CV4AC14(644-657).
Springer DOI
1504
BibRef
Lu, Z.Y.[Zhao-Yu],
Luo, Z.Q.[Zi-Qi],
Zheng, H.C.[Hui-Cheng],
Chen, J.[Jikai],
Li, W.H.[Wei-Hong],
A Delaunay-Based Temporal Coding Model for Micro-expression Recognition,
CV4AC14(698-711).
Springer DOI
1504
BibRef
Wang, S.J.[Su-Jing],
Wu, S.H.[Shu-Hang],
Fu, X.L.[Xiao-Lan],
A Main Directional Maximal Difference Analysis for Spotting
Micro-expressions,
WFI16(II: 449-461).
Springer DOI
1704
BibRef
Wang, S.J.[Su-Jing],
Yan, W.J.[Wen-Jing],
Zhao, G.Y.[Guo-Ying],
Fu, X.L.[Xiao-Lan],
Zhou, C.G.[Chun-Guang],
Micro-Expression Recognition Using Robust Principal Component Analysis
and Local Spatiotemporal Directional Features,
FacBeh14(325-338).
Springer DOI
1504
BibRef
Davison, A.K.[Adrian K.],
Yap, M.H.[Moi Hoon],
Costen, N.[Nicholas],
Tan, K.[Kevin],
Lansley, C.[Cliff],
Leightley, D.[Daniel],
Micro-Facial Movements: An Investigation on Spatio-Temporal Descriptors,
CVLBP14(111-123).
Springer DOI
1504
BibRef
Wu, C.L.[Chong-Liang],
Wang, S.F.[Shang-Fei],
Ji, Q.A.[Qi-Ang],
Multi-instance Hidden Markov Model for facial expression recognition,
FG15(1-6)
IEEE DOI
1508
face recognition
BibRef
Wang, J.[Jun],
Wang, S.F.[Shang-Fei],
Ji, Q.A.[Qi-Ang],
Early Facial Expression Recognition Using Hidden Markov Models,
ICPR14(4594-4599)
IEEE DOI
1412
Databases
BibRef
Lin, Y.X.[Yu-Xu],
Chen, C.[Chun],
Song, M.L.[Ming-Li],
Bu, J.J.[Jia-Jun],
Liu, Z.C.[Zi-Cheng],
Implicit Surface Reconstruction with an Analogy of Polar Field Model,
PSIVT09(436-448).
Springer DOI
0901
BibRef
Reilly, J.,
McDonald, J.B.,
Modelling the Manifold of Facial Expression Using Texture,
IMVIP08(63-68).
IEEE DOI
0809
BibRef
Reilly, J.[Jane],
Ghent, J.[John],
McDonald, J.B.[John B.],
Non-Linear Approaches for the Classification of Facial Expressions at
Varying Degrees of Intensity,
IMVIP07(125-132).
IEEE DOI
0709
BibRef
Earlier:
Investigating the Dynamics of Facial Expression,
ISVC06(II: 334-343).
Springer DOI
0611
BibRef
Hu, Y.X.[Yu-Xiao],
Zeng, Z.H.[Zhi-Hong],
Yin, L.J.[Li-Jun],
Wei, X.Z.[Xiao-Zhou],
Tu, J.L.[Ji-Lin],
Huang, T.S.[Thomas S.],
A study of non-frontal-view facial expressions recognition,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Song, M.L.[Ming-Li],
Wang, H.Q.[Hui-Qiong],
Bu, J.J.[Jia-Jun],
Chen, C.[Chun],
Liu, Z.C.[Zi-Cheng],
Subtle Facial Expression Modeling with Vector Field Decomposition,
ICIP06(2101-2104).
IEEE DOI
0610
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Expression Recognition for Stress .