22.3.6.1.5 Micro Expressions, Subtle Expressions, Face Expression Recognition

Chapter Contents (Back)
Faces, Expression. Facial Expressions. Micro Expressions. Expressions. HCI.

Children Spontaneous Facial Expression Video Database (LIRIS-CSE),
2019. Dataset, Facial Expressions.
WWW Link. spontaneous / natural facial expressions of 12 children in diverse settings with variable recording scenarios showing six universal or prototypic emotional expressions (happiness, sadness, anger, surprise, disgust and fear).
See also novel database of children's spontaneous facial expressions (LIRIS-CSE), A.

Park, S.S.[Sung-Soo], Kim, D.J.[Dai-Jin],
Subtle facial expression recognition using motion magnification,
PRL(30), No. 7, 1 May 2009, pp. 708-716.
Elsevier DOI 0904
BibRef
Earlier:
Spontaneous facial expression classification with facial motion vectors,
FG08(1-6).
IEEE DOI 0809
Subtle facial expression recognition; Motion magnification; Motion estimation; Feature point tracking; Active appearance models BibRef

Park, S.S.[Sung-Soo], Shin, J.J.[Jong-Ju], Kim, D.J.[Dai-Jin],
Facial expression analysis with facial expression deformation,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Pfister, T.[Tomas], Pietikäinen, M.[Matti],
Automatic identification of facial clues to lies,
SPIE(Newsroom), January 4, 2012.
DOI Link 1201
Computers can now detect micro-expressions that reveal emotions people try to conceal. BibRef

Pfister, T.[Tomas], Li, X.B.[Xiao-Bai], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti],
Recognising spontaneous facial micro-expressions,
ICCV11(1449-1456).
IEEE DOI
PDF File. Video of talk:
WWW Link. 1201
BibRef
And:
Differentiating spontaneous from posed facial expressions within a generic facial expression recognition framework,
SISM11(868-875).
IEEE DOI 1201
BibRef

Komori, M.[Masashi], Kamide, H.[Hiroko], Kawamura, S.[Satoru], Nagaoka, C.[Chika],
Asymmetry in Facial Expressions as a Function of Social Skills,
IEICE(E96-D), No. 3, March 2013, pp. 507-513.
WWW Link. 1303
BibRef

Wan, S.H.[Shao-Hua], Aggarwal, J.K.,
Spontaneous facial expression recognition: A robust metric learning approach,
PR(47), No. 5, 2014, pp. 1859-1868.
Elsevier DOI 1402
BibRef
Earlier:
A scalable metric learning-based voting method for expression recognition,
FG13(1-8)
IEEE DOI 1309
Spontaneous facial expression recognition Gabor filters BibRef

Abd El Meguid, M.K., Levine, M.D.,
Fully automated recognition of spontaneous facial expressions in videos using random forest classifiers,
AffCom(5), No. 2, April 2014, pp. 141-154.
IEEE DOI 1411
decision trees BibRef

Wang, S.F.[Shang-Fei], Wu, C.L.[Chong-Liang], He, M.H.[Meng-Hua], Wang, J.[Jun], Ji, Q.A.[Qi-Ang],
Posed and spontaneous expression recognition through modeling their spatial patterns,
MVA(26), No. 2-3, April 2015, pp. 219-231.
Springer DOI 1504
BibRef

Wang, S.F.[Shang-Fei], Wu, C.L.[Chong-Liang], Ji, Q.A.[Qi-Ang],
Capturing global spatial patterns for distinguishing posed and spontaneous expressions,
CVIU(147), No. 1, 2016, pp. 69-76.
Elsevier DOI 1605
Global spatial patterns BibRef

Wu, C.L.[Chong-Liang], Wang, S.F.[Shang-Fei],
Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine,
MMMod16(I: 127-137).
Springer DOI 1601
BibRef

Wu, S.[Shan], Wang, S.F.[Shang-Fei], Wang, J.[Jun],
Enhanced facial expression recognition by age,
FG15(1-6)
IEEE DOI 1508
belief networks BibRef

Liu, Z.L.[Zhi-Lei], Wang, S.F.[Shang-Fei],
Posed and spontaneous expression distinguishment from infrared thermal images,
ICPR12(1108-1111).
WWW Link. 1302
BibRef

Wang, S., Yan, W., Li, X., Zhao, G., Zhou, C., Fu, X., Yang, M., Tao, J.,
Micro-Expression Recognition Using Color Spaces,
IP(24), No. 12, December 2015, pp. 6034-6047.
IEEE DOI 1512
Color BibRef

Xia, Z.Q.[Zhao-Qiang], Feng, X.Y.[Xiao-Yi], Peng, J.Y.[Jin-Ye], Peng, X.L.[Xian-Lin], Zhao, G.Y.[Guo-Ying],
Spontaneous micro-expression spotting via geometric deformation modeling,
CVIU(147), No. 1, 2016, pp. 87-94.
Elsevier DOI 1605
Micro-expression spotting BibRef

Lu, P.[Ping], Zheng, W.M.[Wen-Ming], Wang, Z.Y.[Zi-Yan], Li, Q.A.[Qi-Ang], Zong, Y.[Yuan], Xin, M.H.[Ming-Hai], Wu, L.[Lenan],
Micro-Expression Recognition by Regression Model and Group Sparse Spatio-Temporal Feature Learning,
IEICE(E99-D), No. 6, June 2016, pp. 1694-1697.
WWW Link. 1606
BibRef

Liu, M.Y.[Meng-Yi], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition,
CVIU(147), No. 1, 2016, pp. 95-101.
Elsevier DOI 1605
Expression prototype BibRef

Liu, M.Y.[Meng-Yi], Shan, S.G.[Shi-Guang], Wang, R.P.[Rui-Ping], Chen, X.L.[Xi-Lin],
Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition,
IP(25), No. 12, December 2016, pp. 5920-5932.
IEEE DOI 1612
emotion recognition BibRef

Liu, M.Y.[Meng-Yi], Li, S.X.[Shao-Xin], Shan, S.G.[Shi-Guang], Wang, R.P.[Rui-Ping], Chen, X.L.[Xi-Lin],
Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis,
ACCV14(IV: 143-157).
Springer DOI 1504
BibRef
Earlier: A1, A3, A4, A5, Only:
Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition,
CVPR14(1749-1756)
IEEE DOI 1409
BibRef

Liong, S.T.[Sze-Teng], See, J.[John], Phan, R.C.W.[Raphael C.W.], Oh, Y.H.[Yee-Hui], Ngo, A.C.L.[Anh Cat Le], Wong, K.[Kok_Sheik], Tan, S.W.[Su-Wei],
Spontaneous subtle expression detection and recognition based on facial strain,
SP:IC(47), No. 1, 2016, pp. 170-182.
Elsevier DOI 1610
Subtle expressions BibRef

Liu, Y.J., Zhang, J.K., Yan, W.J., Wang, S.J., Zhao, G., Fu, X.,
A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition,
AffCom(7), No. 4, October 2016, pp. 299-310.
IEEE DOI 1612
Adaptive optics BibRef

Huang, M.X., Ngai, G., Hua, K.A., Chan, S.C.F., Leong, H.V.,
Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation,
AffCom(7), No. 4, October 2016, pp. 360-373.
IEEE DOI 1612
Data models BibRef

Huang, M.X., Li, J., Ngai, G., Leong, H.V., Hua, K.A.,
Fast-PADMA: Rapidly Adapting Facial Affect Model From Similar Individuals,
MultMed(20), No. 7, July 2018, pp. 1901-1915.
IEEE DOI 1806
Adaptation models, Computational modeling, Data models, Face recognition, Hidden Markov models, Prototypes, Training, user-adaptive model BibRef

Xie, W., Shen, L., Jiang, J.,
A Novel Transient Wrinkle Detection Algorithm and Its Application for Expression Synthesis,
MultMed(19), No. 2, February 2017, pp. 279-292.
IEEE DOI 1702
emotion recognition BibRef

He, J.[Jiachi], Hu, J.F.[Jian-Fang], Lu, X.[Xi], Zheng, W.S.[Wei-Shi],
Multi-task mid-level feature learning for micro-expression recognition,
PR(66), No. 1, 2017, pp. 44-52.
Elsevier DOI 1704
Micro-expression recognition BibRef

Xu, F., Zhang, J., Wang, J.Z.,
Microexpression Identification and Categorization Using a Facial Dynamics Map,
AffCom(8), No. 2, April 2017, pp. 254-267.
IEEE DOI 1706
Adaptive optics, Cameras, Face, Frequency division multiplexing, Optical imaging, Strain, Tagging, Microexpression, emotions, expression recognition, face recognition, optical, flow BibRef

Ngo, A.C.L.[A. C. Le], See, J., Phan, R.C.W.[Raphael Chung-Wei],
Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis and Application,
AffCom(8), No. 3, July 2017, pp. 396-411.
IEEE DOI 1709
Databases, Dynamics, Emotion recognition, Face recognition, Feature extraction, Image reconstruction, Visualization, Micro-expression recognition, Spontaneous subtle emotions, data sparsity, dynamic mode decomposition, emotion, suppression BibRef

Perusquía-Hernández, M., Hirokawa, M., Suzuki, K.,
A Wearable Device for Fast and Subtle Spontaneous Smile Recognition,
AffCom(8), No. 4, October 2017, pp. 522-533.
IEEE DOI 1712
Electrodes, Electromyography, Emotion recognition, Face, Face recognition, Robustness, Tools, Electromyography, wearable interface BibRef

Liong, S.T.[Sze-Teng], See, J.[John], Wong, K.[Kok_Sheik], Phan, R.C.W.[Raphael Chung-Wei],
Less is more: Micro-expression recognition from video using apex frame,
SP:IC(62), 2018, pp. 82-92.
Elsevier DOI 1802
BibRef
Earlier:
Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex,
WFI16(II: 345-360).
Springer DOI 1704
Micro-expressions, Emotion, Apex, Optical flow, Optical strain, Recognition BibRef

Zong, Y.[Yuan], Zheng, W.M.[Wen-Ming], Huang, X.H.[Xiao-Hua], Shi, J.G.[Jin-Gang], Cui, Z.[Zhen], Zhao, G.Y.[Guo-Ying],
Domain Regeneration for Cross-Database Micro-Expression Recognition,
IP(27), No. 5, May 2018, pp. 2484-2498.
IEEE DOI 1804
Databases, Emotion recognition, Face recognition, Speech, Speech recognition, Testing, Training, transfer learning BibRef

Jiang, X.X.[Xing-Xun], Zong, Y.[Yuan], Zheng, W.M.[Wen-Ming], Liu, J.T.[Jia-Teng], Wei, M.T.[Meng-Ting],
Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition,
ICPR22(1019-1025)
IEEE DOI 2212
Visualization, Image recognition, Databases, Face recognition, Imaging, Feature extraction, Computational efficiency BibRef

Xia, W.C.[Wan-Chuang], Zheng, W.M.[Wen-Ming], Zong, Y.[Yuan], Jiang, X.X.[Xing-Xun],
Motion Attention Deep Transfer Network for Cross-database Micro-expression Recognition,
FBE20(679-693).
Springer DOI 2103
BibRef

Zhang, T., Zheng, W.M.[Wen-Ming], Cui, Z.[Zhen], Zong, Y.[Yuan], Li, Y.[Yang],
Spatial-Temporal Recurrent Neural Network for Emotion Recognition,
Cyber(49), No. 3, March 2019, pp. 839-847.
IEEE DOI 1902
Emotion recognition, Brain modeling, Electroencephalography, Recurrent neural networks, Electrodes, Face recognition, spatial-temporal recurrent neural network (STRNN) BibRef

Li, Y.[Yang], Zheng, W.M.[Wen-Ming], Wang, L.[Lei], Zong, Y.[Yuan], Cui, Z.[Zhen],
From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition,
AffCom(13), No. 2, April 2022, pp. 568-578.
IEEE DOI 2206
Electroencephalography, Feature extraction, Emotion recognition, Brain modeling, Electrodes, Biological neural networks, spatial-temporal network BibRef

Davison, A.K., Lansley, C., Costen, N., Tan, K., Yap, M.H.,
SAMM: A Spontaneous Micro-Facial Movement Dataset,
AffCom(9), No. 1, January 2018, pp. 116-129.
IEEE DOI 1804
emotion recognition, face recognition, image motion analysis, learning (artificial intelligence), micro-expressions BibRef

Ben, X.Y.[Xian-Ye], Jia, X.T.[Xi-Tong], Yan, R.[Rui], Zhang, X.[Xin], Meng, W.X.[Wei-Xiao],
Learning effective binary descriptors for micro-expression recognition transferred by macro-information,
PRL(107), 2018, pp. 50-58.
Elsevier DOI 1805
Micro-expression recognition, Binary feature descriptor, Coupled metric learning, Smooth support vector machine BibRef

Alashkar, T., Amor, B.B., Daoudi, M., Berretti, S.,
Spontaneous Expression Detection from 3D Dynamic Sequences by Analyzing Trajectories on Grassmann Manifolds,
AffCom(9), No. 2, April 2018, pp. 271-284.
IEEE DOI 1806
Databases, Face, Manifolds, Pain, Videos, Depth sequences, spontaneous expression BibRef

Grewe, C.M., Le Roux, G., Pilz, S.K., Zachow, S.,
Spotting the Details: The Various Facets of Facial Expressions,
FG18(286-293)
IEEE DOI 1806
Computational modeling, Databases, Face, Face recognition, Shape, Skin, 3D Facial Expression Recongition, Statistical Expression Analysis BibRef

Lu, H.[Hua], Kpalma, K.[Kidiyo], Ronsin, J.[Joseph],
Motion descriptors for micro-expression recognition,
SP:IC(67), 2018, pp. 108-117.
Elsevier DOI 1808
Micro-expression recognition, Optical flow, HOF, MBH, FMBH BibRef

Perveen, N.[Nazil], Roy, D.[Debaditya], Mohan, C.K.[Chalavadi Krishna],
Spontaneous Expression Recognition Using Universal Attribute Model,
IP(27), No. 11, November 2018, pp. 5575-5584.
IEEE DOI 1809
emotion recognition, face recognition, feature extraction, Gaussian processes, image classification, image motion analysis, Gaussian mixture model BibRef

Perveen, N.[Nazil], Roy, D.[Debaditya], Mohan, C.K.[Chalavadi Krishna],
Facial Expression Recognition in Videos Using Dynamic Kernels,
IP(29), 2020, pp. 8316-8325.
IEEE DOI 2008
Kernel, Hidden Markov models, Face recognition, Face, Feature extraction, Videos, Gaussian mixture model, intermediate matching kernel BibRef

Zong, Y.[Yuan], Huang, X.H.[Xiao-Hua], Zheng, W.M.[Wen-Ming], Cui, Z.[Zhen], 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 BibRef

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

Qu, F., Wang, S., Yan, W., Li, H., Wu, S., Fu, X.,
CAS(ME)^2: A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition,
AffCom(9), No. 4, October 2018, pp. 424-436.
IEEE DOI 1812
Databases, Videos, Face recognition, Psychology, Encoding, Labeling, Macro-expression and micro-expression spotting, facial action coding system BibRef

Li, X., Hong, X., Moilanen, A., Huang, X., Pfister, T., Zhao, G., Pietikäinen, M.,
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods,
AffCom(9), No. 4, October 2018, pp. 563-577.
IEEE DOI 1812
Videos, Cameras, Training, Face recognition, Emotion recognition, Micro-expression, facial expression recognition, HOG BibRef

Jain, D.K.[Deepak Kumar], Zhang, Z.[Zhang], Huang, K.Q.[Kai-Qi],
Random walk-based feature learning for micro-expression recognition,
PRL(115), 2018, pp. 92-100.
Elsevier DOI 1812
Active shape model, Micro-expression, Random walk BibRef

Schuller, B.,
Microexpressions: A Chance for Computers to Beat Humans at Detecting Hidden Emotions?,
Computer(52), No. 2, February 2019, pp. 4-5.
IEEE DOI 1903
Review of Affectivin Computing articles on microexpressions, Emotion recognition Artificial intelligence BibRef

McDuff, D.J.[Daniel J.], Amr, M., el Kaliouby, R.[Rana],
AM-FED+: An Extended Dataset of Naturalistic Facial Expressions Collected in Everyday Settings,
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

Khan, R.A.[Rizwan Ahmed], Crenn, A.[Arthur], Meyer, A.[Alexandre], Bouakaz, S.[Saida],
A novel database of children's spontaneous facial expressions (LIRIS-CSE),
IVC(83-84), 2019, pp. 61-69.
Elsevier DOI 1904

See also Children Spontaneous Facial Expression Video Database (LIRIS-CSE). Facial expressions database, Spontaneous expressions, Convolutional neural network, Expression recognition, Transfer learning BibRef

Gan, Y.S., Liong, S.T.[Sze-Teng], Yau, W.C.[Wei-Chuen], Huang, Y.C.[Yen-Chang], Tan, L.K.[Lit-Ken],
OFF-ApexNet on micro-expression recognition system,
SP:IC(74), 2019, pp. 129-139.
Elsevier DOI 1904
Apex, CNN, Optical flow, Micro-expression, Recognition BibRef

Bian, C.L.[Cun-Ling], Zhang, Y.[Ya], Yang, F.[Fei], Bi, W.[Wei], Lu, W.G.[Wei-Gang],
Spontaneous facial expression database for academic emotion inference in online learning,
IET-CV(13), No. 3, April 2019, pp. 329-337.
DOI Link 1904
BibRef

Zhi, R.C.[Rui-Cong], Xu, H.R.[Hai-Rui], Wan, M.[Ming], Li, T.T.[Ting-Ting],
Combining 3D Convolutional Neural Networks with Transfer Learning by Supervised Pre-Training for Facial Micro-Expression Recognition,
IEICE(E102-D), No. 5, May 2019, pp. 1054-1064.
WWW Link. 1906
BibRef

Zhi, R.C.[Rui-Cong], Hu, J.[Jing], Wan, F.[Fei],
Micro-expression recognition with supervised contrastive learning,
PRL(163), 2022, pp. 25-31.
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], Shi, J.G.[Jin-Gang], Song, P.[Peng],
Micro-Expression Recognition by Leveraging Color Space Information,
IEICE(E102-D), No. 6, June 2019, pp. 1222-1226.
WWW Link. 1906
BibRef

Li, L.Y.[Ling-Yan], Zhou, X.Y.[Xiao-Yan], Zong, Y.[Yuan], Zheng, W.M.[Wen-Ming], Chen, X.Z.[Xiu-Zhen], Shi, J.G.[Jin-Gang], Song, P.[Peng],
Unsupervised Cross-Database Micro-Expression Recognition Using Target-Adapted Least-Squares Regression,
IEICE(E102-D), No. 7, July 2019, pp. 1417-1421.
WWW Link. 1907
BibRef

Ramasinghe, S.[Sameera], Rajasegaran, J.[Jathushan], Jayasundara, V.[Vinoj], Ranasinghe, K.[Kanchana], Rodrigo, R.[Ranga], Pasqual, A.A.[Ajith A.],
Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos,
CirSysVideo(29), No. 9, September 2019, pp. 2693-2707.
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 BibRef

Wang, L.[Lei], Xiao, H.[Hai], Luo, S.[Sheng], Zhang, J.[Jie], Liu, X.[Xiyao],
A weighted feature extraction method based on temporal accumulation of optical flow for micro-expression recognition,
SP:IC(78), 2019, pp. 246-253.
Elsevier DOI 1909
Micro-expression recognition, Temporal accumulation, Weighted LBP-TOP feature, Optical flow BibRef

Happy, S.L., Routray, A.,
Fuzzy Histogram of Optical Flow Orientations for Micro-Expression Recognition,
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., Vipparthi, S.K., Singh, G., Murala, S.,
LEARNet: Dynamic Imaging Network for Micro Expression Recognition,
IP(29), No. , 2020, pp. 1618-1627.
IEEE DOI 1911
Feature extraction, Imaging, Image color analysis, Image sequences, Convolution, Face recognition, Video sequences, Dynamic imaging, micro expression recognition BibRef

Goh, K.M.[Kam Meng], Ng, C.H.[Chee How], Lim, L.L.[Li Li], Sheikh, U.U.,
Micro-expression recognition: an updated review of current trends, challenges and solutions,
VC(36), No. 3, March 2020, pp. 445-468.
WWW Link. 2002
BibRef

Xia, Z., Hong, X., Gao, X., Feng, X., Zhao, G.,
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-Expressions,
MultMed(22), No. 3, March 2020, pp. 626-640.
IEEE DOI 2003
BibRef
And: Corrections: MultMed(22), No. 4, April 2020, pp. 1111-1111.
IEEE DOI 2004
Spatiotemporal phenomena, Feature extraction, Task analysis, Videos, Training, Strain, Deep learning, Balanced Loss BibRef

Zhu, X.L.[Xiao-Liang], Chen, Z.J.[Zi-Jian],
Dual-modality spatiotemporal feature learning for spontaneous facial expression recognition in e-learning using hybrid deep neural network,
VC(36), No. 4, April 2020, pp. 743-755.
WWW Link. 2004
BibRef

Mi, Y., Zhang, X., Li, Z., Wang, S.,
Dual-Branch Network With a Subtle Motion Detector for Microaction Recognition in Videos,
IP(29), 2020, pp. 6194-6208.
IEEE DOI 2005
Action recognition, microactions, dual-branch network, subtle motion detector, attention BibRef

Duque, C.A.[Carlos Arango], Alata, O.[Olivier], Emonet, R.[Rémi], Konik, H.[Hubert], Legrand, A.C.[Anne-Claire],
Mean oriented Riesz features for micro expression classification,
PRL(135), 2020, pp. 382-389.
Elsevier DOI 2006
Micro-expressions, Mean oriented Riez features, Recognition, Classification, Subtle motion analysis, Riesz pyramid, CASME2 database BibRef

Fu, Y.J.[Yong-Jian], Wu, X.T.[Xin-Tian], Li, X.[Xi], Pan, Z.J.[Zhi-Jie], Luo, D.X.[Da-Xin],
Semantic Neighborhood-Aware Deep Facial Expression Recognition,
IP(29), 2020, pp. 6535-6548.
IEEE DOI 2007
Semantics, Predictive models, Feature extraction, Training, Perturbation methods, Face recognition, Task analysis, autoencoder BibRef

Xia, Z., Peng, W., Khor, H., Feng, X., Zhao, G.,
Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition,
IP(29), 2020, pp. 8590-8605.
IEEE DOI 2009
Task analysis, Data models, Complexity theory, Feature extraction, Analytical models, Histograms, Optical imaging, searchable architecture BibRef

Sun, Z.[Zhe], Hu, Z.P.[Zheng-Ping], Zhao, M.Y.[Meng-Yao], Li, S.F.[Shu-Fang],
Multi-scale active patches fusion based on spatiotemporal LBP-TOP for micro-expression recognition,
JVCIR(71), 2020, pp. 102862.
Elsevier DOI 2009
Micro-expression, Multi-scale active patches, Weighted sparse representation, LBP-TOP BibRef

Li, Y., Huang, X., Zhao, G.,
Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition,
IP(30), 2021, pp. 249-263.
IEEE DOI 2011
Face recognition, Optical imaging, Frequency-domain analysis, Feature extraction, Deep learning, Databases, deep learning BibRef

Zhou, L.[Ling], Shao, X.[Xiuyan], Mao, Q.[Qirong],
A survey of micro-expression recognition,
IVC(105), 2021, pp. 104043.
Elsevier DOI 2101
Micro-expression recognition, Deep learning, Micro-expression datasets, Survey BibRef

Saeed, U.[Usman],
Facial micro-expressions as a soft biometric for person recognition,
PRL(143), 2021, pp. 95-103.
Elsevier DOI 2102
Person recognition, Multi-modal biometrics, Soft biometrics, Micro-expressions BibRef

Liu, K.H.[Kun-Hong], Jin, Q.S.[Qiu-Shi], Xu, H.C.[Huang-Chao], Gan, Y.S.[Yee-Siang], Liong, S.T.[Sze-Teng],
Micro-expression recognition using advanced genetic algorithm,
SP:IC(93), 2021, pp. 116153.
Elsevier DOI 2103
Genetic algorithm, Apex, CNN, Optical flow, Micro-expression, Recognition BibRef

Karmakar, D.[Dhiman], Sarkar, R.[Rajib], Datta, M.[Madhura],
Spoofed replay attack detection by Multidimensional Fourier transform on facial micro-expression regions,
SP:IC(93), 2021, pp. 116164.
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 Recognition,
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 Recognition,
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 BibRef

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 Microexpression Spotting,
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 BibRef

Pan, H.[Hang], Xie, L.[Lun], Li, J.[Juan], Lv, Z.P.[Ze-Ping], Wang, Z.L.[Zhi-Liang],
Micro-expression recognition by two-stream difference network,
IET-CV(15), No. 6, 2021, pp. 440-448.
DOI Link 2108
BibRef

Guermazi, R.[Radhouane], Ben Abdallah, T.[Taoufik], Hammami, M.[Mohamed],
Facial micro-expression recognition based on accordion spatio-temporal representation and random forests,
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], Soladie, C.[Catherine], Kpalma, K.[Kidiyo], Seguier, R.[Renaud],
Micro-expression recognition from local facial regions,
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 fusion method for micro-expression recognition,
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 Adaptation in Micro-Expression Recognition,
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], Dong, Z.Z.[Zi-Zhao], Lu, S.Y.[Shao-Yuan], Wang, S.J.[Su-Jing], Yan, W.J.[Wen-Jing], Ma, Y.[Yinhuan], Liu, Y.[Ye], Huang, C.[Changbing], Fu, X.L.[Xiao-Lan],
CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity,
PAMI(45), No. 3, March 2023, pp. 2782-2800.
IEEE DOI 2302
Databases, Psychology, Face recognition, Videos, Iron, Emotion recognition, Trajectory, Micro-expression, multi-modality 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
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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

Li, X.B.[Xiao-Bai], Cheng, S.[Shiyang], Li, Y.[Yante], Behzad, M.[Muzammil], Shen, J.[Jie], Zafeiriou, S.[Stefanos], Pantic, M.[Maja], Zhao, G.Y.[Guo-Ying],
4DME: A Spontaneous 4D Micro-Expression Dataset With Multimodalities,
AffCom(14), No. 4, October 2023, pp. 3031-3047.
IEEE DOI 2312
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


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 BibRef

Healey, J., Wang, H., Chhaya, N.,
Challenges in Recognizing Spontaneous and Intentionally Expressed Reactions to Positive and Negative Images,
EmotioNet20(1622-1630)
IEEE DOI 2008
Emotion recognition, Face recognition, Encoding, Image recognition BibRef

Bruni, V.[Vittoria], Vitulano, D.[Domenico],
SSIM Based Signature of Facial Micro-expressions,
ICIAR20(I:267-279).
Springer DOI 2007
BibRef

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 BibRef

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 Recognition,
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 BibRef

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 Variability,
CIAP19(I:26-35).
Springer DOI 1909
BibRef

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
BibRef

Takalkar, M.A.[Madhumita A.], Zhang, H.M.[Hai-Min], Xu, M.[Min],
Improving Micro-expression Recognition Accuracy Using Twofold Feature Extraction,
MMMod19(I:652-664).
Springer DOI 1901
BibRef

Fabiano, D., Canavan, S.,
Spontaneous and Non-Spontaneous 3D Facial Expression Recognition Using a Statistical Model with Global and Local Constraints,
ICIP18(3089-3093)
IEEE DOI 1809
Shape, Face, Face recognition, Databases, Solid modeling, Computational modeling, Expression, classification, non-spontaneous BibRef

Hu, C., Jiang, D., Zou, H., 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 BibRef

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

Han, Y., Li, B., Lai, Y., Liu, Y.,
CFD: A Collaborative Feature Difference Method for Spontaneous Micro-Expression Spotting,
ICIP18(1942-1946)
IEEE DOI 1809
Feature extraction, Collaboration, Video sequences, Histograms, Optical imaging, Face, Indexes, Micro-expression, spotting features, weighted ROIs 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)
IEEE DOI 1806
Face, Games, Standards, TV, Training, Uncertainty, Videos, Face, doubts, facial expression, hesitation, images, uncertainty BibRef

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

Hadar, D., Tron, T., Weinshall, D.,
Implicit Media Tagging and Affect Prediction from RGB-D Video of Spontaneous Facial Expressions,
FG17(727-734)
IEEE DOI 1707
Cameras, Correlation, Databases, Media, Predictive models, Reliability, Tagging 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

Girard, J.M., Chu, W.S., Jeni, L.A., Cohn, J.F.,
Sayette Group Formation Task (GFT) Spontaneous Facial Expression Database,
FG17(581-588)
IEEE DOI 1707
Alcoholic beverages, Cameras, Context, Databases, Encoding, Gold, Reliability 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

Shreve, M., Bernal, E.A., Li, Q., Kumar, J., Bala, R.,
A study on the discriminability of faces from spontaneous facial expressions,
ICIP16(1674-1678)
IEEE DOI 1610
Feature extraction 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

Ngo, A.C.L.[Anh Cat Le], Phan, R.C.W.[Raphael Chung-Wei], See, J.[John],
Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions,
ACCV14(IV: 33-48).
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

Yan, W.J.[Wen-Jing], Wu, Q.[Qi], Liu, Y.J.[Yong-Jin], Wang, S.J.[Su-Jing], Fu, X.L.[Xiao-Lan],
CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces,
FG13(1-7)
IEEE DOI 1309
Dataset, Facial Expressions. computer vision BibRef

Li, X.B.[Xiao-Bai], Pfister, T., Huang, X.H.[Xiao-Hua], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti],
A Spontaneous Micro-expression Database: Inducement, collection and baseline,
FG13(1-6)
IEEE DOI 1309
computer vision 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

Reilly Delannoy, J.[Jane], McDonald, J.B.[John B.],
Estimation of the Temporal Dynamics of Posed and Spontaneous Facial Expression Formation Using LLE,
IMVIP09(139-144).
IEEE DOI 0909
BibRef
Earlier:
Automatic estimation of the dynamics of facial expression using a three-level model of intensity,
FG08(1-6).
IEEE DOI 0809
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

Zeng, Z.H.[Zhi-Hong], Fu, Y.[Yun], Roisman, G.I., Wen, Z.[Zhen], Hu, Y.X.[Yu-Xiao], Huang, T.S.,
One-Class Classification for Spontaneous Facial Expression Analysis,
FGR06(281-286).
IEEE DOI 0604
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 .


Last update:Mar 16, 2024 at 20:36:19