The Machine Knows What You Are Hiding: An Automatic Micro-expression Recognition System
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Ekman, P. (1976) · Medical Entomology and Zoology · Cited by 4,345 · see citing works
Comprehensive database for facial expression analysis
Takeo Kanade, A., Cohn, J. F., & Tian, Y. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2000.840611 · Cited by 2,612 · see citing works
University of California, San Francisco
(1974) · Medical History · doi:10.1017/s0025727300019682 · Cited by 2,218 · see citing works
Coding facial expressions with Gabor wavelets
Lyons, M. J., Akamatsu, S., Kamachi, M., & Gyoba, J. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.1998.670949 · Cited by 2,214 · see citing works
Nonverbal Leakage and Clues to Deception <sup>†</sup>
Ekman, P., & Friesen, W. V. (1969) · Psychiatry · doi:10.1080/00332747.1969.11023575 · Cited by 1,854 · see citing works
Web-Based Database for Facial Expression Analysis
Pantić, M., Valstar, M., Rademaker, R. M., & Maat, L. (2005) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2005.1521424 · Cited by 1,099 · see citing works
Sharing features: efficient boosting procedures for multiclass object detection
Torralba, A. B., Murphy, K. P., & Freeman, W. T. (2004) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2004.1315241 · Cited by 581 · see citing works
Lie Catching and Microexpressions
Ekman, P. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195327939.003.0008 · Cited by 335 · see citing works
Facial micro-expressions recognition using high speed camera and 3D-gradient descriptor
Polikovsky, S., Kameda, Y., & Ohta, Y. (2009) · 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009) · doi:10.1049/ic.2009.0244 · Cited by 312 · see citing works
Toward Practical Smile Detection
Whitehill, J., Littlewort, G. C., Fasel, I., Bartlett, M. S., & Movellan, J. R. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.42 · Cited by 310 · see citing works
Annual Meeting of the International Communication Association
Thomas, F. (1974) · Cited by 286 · see citing works
A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
Koelstra, S., Pantic, M., & Patras, I. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.50 · Cited by 242 · see citing works
Macro- and micro-expression spotting in long videos using spatio-temporal strain
Shreve, M., Godavarthy, S., Goldgof, D., & Sarkar, S. (2011) · Face and Gesture 2011 · doi:10.1109/fg.2011.5771451 · Cited by 218 · see citing works
Russell, T. A., Chu, E. M.-Y., & Phillips, M. L. (2006) · British Journal of Clinical Psychology · doi:10.1348/014466505x90866 · Cited by 200 · see citing works
Airport security: Intent to deceive?
Weinberger, S. (2010) · Nature · doi:10.1038/465412a · Cited by 134 · see citing works
Towards macro- and micro-expression spotting in video using strain patterns
Shreve, M., Godavarthy, S., Manohar, V., Goldgof, D., & Sarkar, S. (2009) · 2009 Workshop on Applications of Computer Vision (WACV) · doi:10.1109/wacv.2009.5403044 · Cited by 124 · see citing works
Face Detection - Efficient and Rank Deficient
Kienzle, W., Bakir, G., Franz, M., Schölkopf, B., Weiss, Y., & Y., W. (2005) · MPG.PuRe (Max Planck Society) · Cited by 107 · see citing works
ten Brinke, L., MacDonald, S., Porter, S., & O’Connor, B. P. (2011) · Law and Human Behavior · doi:10.1037/h0093950 · Cited by 87 · see citing works
MutualBoost learning for selecting Gabor features for face recognition
Shen, L., & Bai, L. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2006.02.005 · Cited by 77 · see citing works
Martin, C. W. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195327939.001.0001 · Cited by 62 · see citing works
A dynamic facial expression database
Roy, S., Roy, C., Fortin, I., Éthier-Majcher, C., Belin, P., & Gosselin, F. (2010) · Journal of Vision · doi:10.1167/7.9.944 · Cited by 54 · see citing works
Bartlett, M. S., & Whitehill, J. (2011) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199559053.013.0025 · Cited by 27 · see citing works
On selection and combination of weak learners in AdaBoost
Gao, C., Sang, N., & Tang, Q. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2009.12.019 · Cited by 25 · see citing works
Fast Adaboost Training Algorithm by Dynamic Weight Trimming
Jia, H.-X., & Zhang, Y. (2009) · Chinese Journal of Computers · doi:10.3724/sp.j.1016.2009.00336 · Cited by 18 · see citing works
ten Brinke, L., MacDonald, S., Porter, S., & O’Connor, B. P. (2011) · Law and Human Behavior · doi:10.1007/s10979-011-9265-5 · Cited by 15 · see citing works
Fast Adaboost Training Algorithm by Dynamic Weight Trimming
Hui, J. (2009) · Chinese Journal of Computers · Cited by 10 · see citing works
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Sorted by citations
Facial Expression Analysis under Partial Occlusion
Zhang, L., Verma, B., Tjondronegoro, D., & Chandran, V. (2018) · ACM Computing Surveys · doi:10.1145/3158369 · Cited by 1,291 · see citing works
CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation
Yan, W.-J., Li, X., Wang, S.-J., Zhao, G., Liu, Y.-J., Chen, Y.-H., & Fu, X. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086041 · Cited by 993 · see citing works
Self-citationA Spontaneous Micro-expression Database: Inducement, collection and baseline
Li, X., Pfister, T., Huang, X., Zhao, G., & Pietikäinen, M. (2013) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2013.6553717 · Cited by 703 · see citing works
Corneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527 · see citing works
CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces
Yan, W., Wu, Q., Liu, Y., Wang, S., & Fu, X. (2013) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2013.6553799 · Cited by 363 · see citing works
Self-citationLi, X., Hong, X., Moilanen, A., Huang, X., Pfister, T., Zhao, G., & Pietikainen, M. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2667642 · Cited by 384 · see citing works
Microexpression Identification and Categorization Using a Facial Dynamics Map
Xu, F., Zhang, J., & Wang, J. Z. (2016) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2016.2518162 · Cited by 284 · see citing works
Huang, X., Wang, S., Liu, X., Zhao, G., Feng, X., & Pietikäinen, M. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2713359 · Cited by 195 · see citing works
A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges
Oh, Y.-H., See, J., Ngo, A. C. L., Phan, R. C. ‐., & Baskaran, V. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01128 · Cited by 161 · see citing works
Selective deep features for micro-expression recognition
Patel, D., Hong, X., & Zhao, G. (2016) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2016.7899972 · Cited by 145 · see citing works
Efficient Spatio-Temporal Local Binary Patterns for Spontaneous Facial Micro-Expression Recognition
Wang, Y., See, J., Phan, R. C. ‐., & Oh, Y.-H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124674 · Cited by 143 · see citing works
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition
Zhao, S., Tao, H., Zhang, Y., Xu, T., Zhang, K., Hao, Z., & Chen, E. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.03.058 · Cited by 141 · see citing works
Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition
Martínez, B., & Valstar, M. (2016) · Springer eBooks · doi:10.1007/978-3-319-25958-1_4 · Cited by 136 · see citing works
Wang, S.-J., He, Y., Li, J.-T., & Fu, X.-L. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3064258 · Cited by 114 · see citing works
Self-citationA comprehensive survey on automatic facial action unit analysis
Zhi, R., Liu, M., & Zhang, D. (2019) · The Visual Computer · doi:10.1007/s00371-019-01707-5 · Cited by 127 · see citing works
A survey: facial micro-expression recognition
Takalkar, M. A., Xu, M. G., Wu, Q., & Chaczko, Z. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5317-2 · Cited by 123 · see citing works
Self-citationReddy, S., Karri, S. T., Dubey, S. R., & Mukherjee, S. (2019) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2019.8852419 · Cited by 119 · see citing works
Spotting Rapid Facial Movements from Videos Using Appearance-Based Feature Difference Analysis
Moilanen, A., Zhao, G., & Pietikäinen, M. (2014) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2014.303 · Cited by 118 · see citing works
Micro-expression recognition: an updated review of current trends, challenges and solutions
Goh, K. M., Ng, C. H., Lim, L. L., & Sheikh, U. U. (2018) · The Visual Computer · doi:10.1007/s00371-018-1607-6 · Cited by 92 · see citing works
Image Based Facial Micro-Expression Recognition Using Deep Learning on Small Datasets
Takalkar, M. A., & Xu, M. G. (2017) · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · doi:10.1109/dicta.2017.8227443 · Cited by 90 · see citing works
Spotting Macro-and Micro-expression Intervals in Long Video Sequences
He, Y., Wang, S., Li, J., & Yap, M. H. (2020) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg47880.2020.00036 · Cited by 72 · see citing works
A review of motion analysis methods for human Nonverbal Communication Computing
Metaxas, D., & Zhang, S. (2013) · Image and Vision Computing · doi:10.1016/j.imavis.2013.03.005 · Cited by 63 · see citing works
Micro-Facial Movement Detection Using Individualised Baselines and Histogram-Based Descriptors
Davison, A. K., Yap, M. H., & Lansley, C. (2015) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2015.326 · Cited by 63 · see citing works
Spatiotemporal Integration of Optical Flow Vectors for Micro-expression Detection
Patel, D., Zhao, G., & Pietikäinen, M. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25903-1_32 · Cited by 62 · see citing works
Ben, X., Jia, X., Yan, R., Zhang, X., & Meng, W. (2017) · Pattern Recognition Letters · doi:10.1016/j.patrec.2017.07.010 · Cited by 60 · see citing works
A survey of micro-expression recognition
Zhou, L., Shao, X., & Mao, Q. (2020) · Image and Vision Computing · doi:10.1016/j.imavis.2020.104043 · Cited by 54 · see citing works
Micro-expression spotting: A new benchmark
Tran, T.-K., Vo, Q.-N., Hong, X., Li, X., & Zhao, G. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.02.022 · Cited by 55 · see citing works
Automatic expression spotting in videos
Shreve, M., Brizzi, J., Fefilatyev, S., Luguev, T. S., Goldgof, D. B., & Sarkar, S. (2014) · Image and Vision Computing · doi:10.1016/j.imavis.2014.04.010 · Cited by 55 · see citing works
Tan, C., Ceballos, G., Kasabov, N., & Subramaniyam, N. P. (2020) · Italian National Conference on Sensors · doi:10.3390/s20185328 · Cited by 43 · see citing works
Guo, Y., Tian, Y., Gao, X., & Zhang, X. (2014) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2014.6889620 · Cited by 51 · see citing works
Macro-to-micro transformation model for micro-expression recognition
Jia, X., Ben, X., Yuan, H., Kpalma, K., & Meng, W. (2017) · Journal of Computational Science · doi:10.1016/j.jocs.2017.03.016 · Cited by 51 · see citing works
Motion descriptors for micro-expression recognition
Lu, H., Kpalma, K., & Ronsin, J. (2018) · Signal Processing Image Communication · doi:10.1016/j.image.2018.05.014 · Cited by 45 · see citing works
Facial micro-expression recognition: A machine learning approach
Adegun, I. P., & Vadapalli, H. (2020) · Scientific African · doi:10.1016/j.sciaf.2020.e00465 · Cited by 44 · see citing works
Manifold feature integration for micro-expression recognition
Takalkar, M. A., Xu, M. G., & Chaczko, Z. (2020) · Multimedia Systems · doi:10.1007/s00530-020-00663-8 · Cited by 35 · see citing works
Learning a sparse codebook of facial and body microexpressions for emotion recognition
Song, Y., Morency, L., & Davis, R. (2013) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2522848.2522851 · Cited by 35 · see citing works
Micro-expression recognition system
Zhang, P., Ben, X., Yan, R., Wu, C. H., & Guo, C. Y. (2015) · Optik · doi:10.1016/j.ijleo.2015.10.217 · Cited by 33 · see citing works
A Survey of Micro-expression Recognition Methods Based on LBP, Optical Flow and Deep Learning
Zeng, X., Zhao, X., Zhong, X., & Liu, G. (2023) · Neural Processing Letters · doi:10.1007/s11063-022-11123-x · Cited by 32 · see citing works
Recognizing spontaneous micro-expression from eye region
Duan, X., Dai, Q., Wang, X., Wang, Y., & Hua, Z. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.03.090 · Cited by 30 · see citing works
A comprehensive survey on facial micro-expression: approaches and databases
Esmaeili, V., Feghhi, M. M., & Shahdi, S. O. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13133-2 · Cited by 29 · see citing works
Cost-Effective CNNs for Real-Time Micro-Expression Recognition
Belaiche, R., Liu, Y., Migniot, C., Dominique Ginhac, B., & Yang, F. (2020) · Applied Sciences · doi:10.3390/app10144959 · Cited by 27 · see citing works
Sliding Window Based Micro-expression Spotting: A Benchmark
Tran, T.-K., Hong, X., & Zhao, G. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-70353-4_46 · Cited by 27 · see citing works
Facial expression intensity estimation using Siamese and triplet networks
Sabri, M., & Kurita, T. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.06.054 · Cited by 25 · see citing works
Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition.Preprint
Li, X., Hong, X., Moilanen, A., Huang, X., Pfister, T., Zhao, G., & Pietikäinen, M. (2015) · arXiv (Cornell University) · Cited by 25 · see citing works
Deep Learning-Based Micro Facial Expression Recognition Using an Adaptive Tiefes FCNN Model
Durga, B. K., Rajesh, V., Jagannadham, S., Kumar, P. S., Rashed, A. N. Z., & Saikumar, K. (2023) · Traitement du signal · doi:10.18280/ts.400319 · Cited by 20 · see citing works
Emotion recognition using fixed length micro-expressions sequence and weighting method
Chen, M., Ma, H. T., Li, J., & Wang, H. (2016) · IEEE International Conference on Real-time Computing and Robotics (RCAR) · doi:10.1109/rcar.2016.7784067 · Cited by 20 · see citing works
Multi-task Micro-expression Recognition Combining Deep and Handcrafted Features
Hu, C., Jiang, D., Zou, H., Zuo, X., & Shu, Y. (2018) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2018.8545555 · Cited by 20 · see citing works
Automatic Hidden Sadness Detection Using Micro-Expressions
Grobova, J., Čolović, M., Marjanovic, M., Njeguš, A., Demire, H., & Anbarjafari, G. (2017) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2017.105 · Cited by 18 · see citing works
Huang, X., Wang, S., Liu, X., Zhao, G., Feng, X., & Pietikäinen, M. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1608.02255 · Cited by 17 · see citing works
Triple-ATFME: Triple-Branch Attention Fusion Network for Micro-Expression Recognition
Li, F., Nie, P., You, M., Chen, Z., & Wang, G. (2024) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-024-08973-z · Cited by 16 · see citing works
Micro-Expression Recognition by Regression Model and Group Sparse Spatio-Temporal Feature Learning
Ping, L. U., Zheng, W., Wang, Z., Qiang, L. I., Zong, Y., Xin, M., & Wu, L. (2016) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.2015edl8221 · Cited by 16 · see citing works
Cen, S., Yu, Y., Yan, G., Yu, M., & Yang, Q. (2020) · Sensors · doi:10.3390/s20164437 · Cited by 15 · see citing works
Going deeper in hidden sadness recognition using spontaneous micro expressions database
Gorbova, J., Čolović, M., Marjanovic, M., Njeguš, A., & Anbarjafari, G. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7658-5 · Cited by 15 · see citing works
The design of error-correcting output codes based deep forest for the micro-expression recognition
Lin, W., Ge, Q.-C., Liong, S., Liu, J.-T., Liu, K., & Wu, Q. (2022) · Applied Intelligence · doi:10.1007/s10489-022-03590-5 · Cited by 14 · see citing works
Self-citationThe heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition
Sun, M., Liong, S., Liu, K., & Wu, Q. (2022) · Applied Intelligence · doi:10.1007/s10489-022-03284-y · Cited by 14 · see citing works
Self-citationBehavioral measures of humility: Part 2. Conceptual mapping and charting ways forward
Tongeren, D. R. V., Ng, V., Hickman, L., & Tay, L. (2022) · The Journal of Positive Psychology · doi:10.1080/17439760.2022.2109201 · Cited by 14 · see citing works
Adegun, I. P., & Vadapalli, H. (2016) · Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) · doi:10.1109/robomech.2016.7813187 · Cited by 12 · see citing works
Mousavi, S. M. H., & Mirinezhad, S. Y. (2021) · SN Applied Sciences · doi:10.1007/s42452-020-03999-y · Cited by 13 · see citing works
Optical Flow Filtering-Based Micro-Expression Recognition Method
Wu, J., Xu, J., Lin, D., & Tu, M. (2020) · Electronics · doi:10.3390/electronics9122056 · Cited by 11 · see citing works
Investigating Macroexpressions and Microexpressions in Computer Graphics Animated Faces
Queiroz, R. B., Musse, S. R., & Badler, N. I. (2014) · PRESENCE Virtual and Augmented Reality · doi:10.1162/pres_a_00180 · Cited by 11 · see citing works
Jmour, N., Masmoudi, S., & Abdelkrim, A. (2021) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj0602114 · Cited by 10 · see citing works
Happy, S. L., & Routray, A. (2018) · Studies in computational intelligence · doi:10.1007/978-3-319-89629-8_13 · Cited by 9 · see citing works
Wu, P., Liu, H., Zhang, X., & Gao, Y. (2017) · Frontiers of Information Technology & Electronic Engineering · doi:10.1631/fitee.1600041 · Cited by 8 · see citing works
Aadit, M. N. A., Mahin, M. T., & Juthi, S. N. (2017) · IEEE Region Humanitarian Technology Conference · doi:10.1109/r10-htc.2017.8289057 · Cited by 8 · see citing works
Ullah, A., Wang, J., Anwar, M. S., Ahmad, U., Saeed, U., & Fei, Z. (2019) · Electronics · doi:10.3390/electronics8121487 · Cited by 8 · see citing works
SHCFNet on Micro-expression Recognition System
Jie, H. J., Zhao, X., & Zheng, L. (2020) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp-bmei51763.2020.9263671 · Cited by 8 · see citing works
Micro-Expression Recognition Base on Optical Flow Features and Improved MobileNetV2
Xu, W. H., Zheng, H., Yang, Z., & Yang, Y. (2021) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2021.06.002 · Cited by 8 · see citing works
Jain, A., & Bhakta, D. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-17313-6 · Cited by 7 · see citing works
Duration-aware and mode-aware micro-expression spotting for long video sequences
Liu, J., Li, X., Zhang, J., Zhai, G., Su, Y., Zhang, Y., & Wáng, B. (2024) · Signal Processing Image Communication · doi:10.1016/j.image.2024.117192 · Cited by 6 · see citing works
Research on a Microexpression Recognition Technology Based on Multimodal Fusion
Kang, J., Chen, X. Y., Liu, Q. Y., Jin, S. H., Yang, C., & Hu, C. (2021) · Complexity · doi:10.1155/2021/5221950 · Cited by 6 · see citing works
Micro-expression recognition based on motion detection method
Rosiani, U. D., Choirina, P., & Shoumi, M. N. (2021) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/1073/1/012069 · Cited by 6 · see citing works
Micro-Expression Spotting: A BenchmarkPreprint
Hong, X., Tran, T.-K., & Zhao, G. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1710.02820 · Cited by 6 · see citing works
Zhang, D., Zhang, T., Sun, H., Tang, Y., & Liu, Q. (2024) · Sensors · doi:10.3390/s24237549 · Cited by 5 · see citing works
Micro-expression Recognition Using Motion Magnification and Spatiotemporal Texture Map
Pawar, S. S., Moh, M., & Moh, T.-S. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-19063-7_29 · Cited by 5 · see citing works
Cognitive Regulation and Emotion Modeling for Micro-expression
Xie, L., Liu, X., Yang, X.-J., & Wang, Z.-L. (2016) · International Journal of Control and Automation · doi:10.14257/ijca.2016.9.2.34 · Cited by 5 · see citing works
Unveiling hidden emotions: a review of microexpression recognition, classification, and datasets
Singh, J., & Malik, P. (2025) · Multimedia Tools and Applications · doi:10.1007/s11042-025-21100-w · Cited by 4 · see citing works
Analysis of Micro Expressions using XAI
Kadakia, R., Kalkotwar, P., Jhaveri, P., Patanwadia, R., & Srivastava, K. (2022) · International Conference on Computing, Analytics and Networks (ICAN) · doi:10.1109/ican56228.2022.10007340 · Cited by 4 · see citing works
A Multiview Representation Framework for Micro-Expression Recognition
Huang, T., Chen, L., Feng, Y., Ben, X., Xiao, R., & Xue, T. (2019) · IEEE Access · doi:10.1109/access.2019.2932784 · Cited by 4 · see citing works
Comparative Analysis of Micro Expression Recognition using Deep Learning and Transfer Learning
Kadakia, R., Kalkotwar, P., Jhaveri, P., Patanwadia, R., & Srivastava, K. (2021) · IEEE Global Conference for Advancement in Technology (GCAT) · doi:10.1109/gcat52182.2021.9587731 · Cited by 3 · see citing works
Ghaziasgar, M., Cruz, N. D. L., Bagula, A., & Connan, J. (2016) · Advances in data mining and database management book series · doi:10.4018/978-1-5225-0463-4.ch005 · Cited by 3 · see citing works
Micro Expression Classification Accuracy Assessment
Sharma, P. (2019) · Arrow - TU Dublin (Technological University Dublin) · doi:10.21427/kbny-0a41 · Cited by 3 · see citing works
Nopember, I. T. S., Rosiani, U. D., Choirina, P., Malang, P. N., Muna, N., Jember, P. N., Mulyanto, E., Nopember, I. T. S., Sumpeno, S., Nopember, I. T. S., et al. (2020) · International journal of intelligent engineering and systems · doi:10.22266/ijies2020.1231.48 · Cited by 3 · see citing works
Patrones de reconocimiento de expresiones emocionales usando el Pupilómetro
Cordón, J. R., Navas, J. M. M., Bozal, R. G., & Escandón, C. L. (2015) · Behavior & Law Journal · doi:10.47442/blj.v1.i1.7 · Cited by 2 · see citing works
Sun, M., Chen, L., Liu, K., Liong, S., & Wu, Q. (2023) · Signal Processing Image Communication · doi:10.1016/j.image.2023.116962 · Cited by 1 · see citing works
Self-citationA Comprehensive Review of Microexpression Recognition, Classification, and Datasets
Malik, P., Singh, J., Ali, F., & Kwak, D. (2026) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2026.3672552 · Cited by 1 · see citing works
The Influence of Facial Width-to-Height Ratio on Micro-expression Recognition
Zhang, S., Xie, J., & Wu, Q. (2018) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-01313-4_28 · Cited by 1 · see citing works
Self-citationXiaochen, D., Zhi-gang, Z., & Qiang, L. (2018) · International Conference on Communication and Information Processing (ICCIP) · doi:10.1145/3290420.3290421 · Cited by 1 · see citing works
Micro-Expression Recognition Algorithm Based on Information Entropy Feature
Wu, J., Yu, M., Yang, X., & Ma, S. (2020) · Journal of Shanghai Jiaotong University (Science) · doi:10.1007/s12204-020-2219-7 · Cited by 1 · see citing works
Facial Micro-Expression Analysis
Li, J. (2019) · doi:10.70675/c6be032dzaef5z41a8za74cz1bc6decd5ee4 · Cited by 1 · see citing works
Cordón, J. R., Navas, J. M. M., Bozal, R. G., & Escandón, C. L. (2015)
Composite Binary Pattern Assisted Micro-Expressions Spotting Through Feature Difference Analysis
Seelothu, S., & Rao, K. V. (2021) · Journal of University of Shanghai for Science and Technology · doi:10.51201/jusst/21/07171
The Master of Detecting Deception: Machine Learning
Yang, C., Niu, C., & Shen, X. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-2102-4_72
Self-citationUbiquitous Technologies for Emotion Recognition
Baños, O., Castro, L. A., & Villalonga, C. (2021) · MDPI eBooks · doi:10.3390/books978-3-0365-1801-5
Spotting a liar by looking for microexpressions: Challenges and OpportunitiesPreprint
Shen, X. (2019) · doi:10.31234/osf.io/72yrq
Self-citationMicro-expression Recognition Based on Attention-enhanced LSTM Neural Networks
Xu, S., & Fen, X. (2022) · International Conference on Machine Learning and Computing (ICMLC) · doi:10.1145/3529836.3529898
Pandit, D., & Jadhav, S. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-35644-5_23
ExpressionFlow: A Microexpression Descriptor for Efficient Recognition
Xu, F., Yuan, Y., Zhang, J., & Wang, J. Z. (2023) · Springer eBooks · doi:10.1007/978-3-031-50269-9_8
Micro-expressions spotting: Unveiling hidden emotions and thoughts
Malik, P., & Singh, J. (2024) · CRC Press eBooks · doi:10.1201/9781003471059-77
Micro-expression recognition method integrating LBP and parallel attention mechanism
Shuaichao, L., Li, M., Jiaao, S., & Lu, S. (2024) · Journal of applied artificial intelligence. · doi:10.59782/aai.v1i3.333
- Authors
- Wu, Q., Shen, X., & Fu, X.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Fu, Xiaolan
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 152-162
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W54565787
- Cited by
- 104
- References
- 26
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 5 · 2023: 6 · 2022: 6 · 2021: 12 · 2020: 11 · 2019: 9 · 2018: 12 · 2017: 11 · 2016: 11 · 2015: 8 · 2014: 5 · 2013: 4
- FWCI
- 4.58
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- micro-expression recognition, deception detection, Gabor filters, face detection, facial feature extraction
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