| Facial expression recognition from near-infrared videos G Zhao, X Huang, M Taini, SZ Li, M PietikäInen Image and Vision Computing 29 (9), 607-619, 2011 | 816 | 2011 |
| A Spontaneous Micro-expression Database: Inducement, Collection and Baseline X Li, T Pfister, X Huang, G Zhao, M Pietikäinen | 675* | |
| Towards reading hidden emotions: A comparative study of spontaneous micro-expression spotting and recognition methods X Li, X Hong, A Moilanen, X Huang, T Pfister, G Zhao, M Pietikäinen IEEE transactions on affective computing 9 (4), 563-577, 2017 | 420 | 2017 |
| Spontaneous Facial Micro-expression Analysis using Spatiotemporal Completed Local Quantized Patterns X Huang, G Zhao, X Hong, W Zheng, M Pietikäinen Neurocomputing 175, 564-578, 2016 | 289 | 2016 |
| Facial Micro-Expression Recognition Using Spatiotemporal Local Binary Pattern With Integral Projection X Huang, SJ Wang, G Zhao, M Piteikainen Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 233 | 2015 |
| Discriminative spatiotemporal local binary pattern with revisited integral projection for spontaneous facial micro-expression recognition X Huang, W Sujing, X Liu, G Zhao, X Feng, P Matti IEEE Transactions on Affective Computing, 2017 | 178 | 2017 |
| Micro-expression recognition with small sample size by transferring long-term convolutional neural network SJ Wang, BJ Li, YJ Liu, WJ Yan, X Ou, X Huang, F Xu, X Fu Neurocomputing 312, 251-262, 2018 | 148 | 2018 |
| Learning from hierarchical spatiotemporal descriptors for micro-expression recognition Y Zong, X Huang, W Zheng, Z Cui, G Zhao IEEE Transactions on Multimedia 20 (11), 3160-3172, 2018 | 138 | 2018 |
| Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis X Huang, A Dhall, G Zhao, R Goecke, M Pietikäinen British Machine Vision Conference, 1-8, 2015 | 135* | 2015 |
| Going beyond what is visible: What multichannel data can reveal about interaction in the context of collaborative learning? J Malmberg, S Järvelä, J Holappa, E Haataja, X Huang, A Siipo Computers in Human Behavior 96, 235-245, 2019 | 131 | 2019 |
| Multi-modal emotion analysis from facial expressions and electroencephalogram X Huang, J Kortelainen, G Zhao, X Li, A Moilanen, T Seppänen, ... Computer Vision and Image Understanding 147, 114-124, 2016 | 129 | 2016 |
| Can Micro-Expression be Recognized Based on Single Apex Frame? Y Li, X Huang, G Zhao 2018 25th IEEE International Conference on Image Processing (ICIP), 3094-3098, 2018 | 127 | 2018 |
| Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition Y Li, X Huang, G Zhao IEEE Transactions on Image Processing 30, 249-263, 2020 | 114 | 2020 |
| Cross-Corpus Speech Emotion Recognition Based on Domain-Adaptive Least-Squares Regression Y Zong, W Zheng, T Zhang, X Huang IEEE Signal Processing Letters 23 (5), 585-589, 2016 | 111 | 2016 |
| Spatiotemporal Local Monogenic Binary Patterns for Facial Expression Recognition X Huang, G Zhao, W Zheng, M Pietikainen Signal Processing Letters, IEEE 19 (5), 243-246, 2012 | 92 | 2012 |
| Analyzing the group sparsity based on the rank minimization methods Z Zha, X Liu, X Huang, H Shi, Y Xu, Q Wang, L Tang, X Zhang 2017 IEEE International Conference on Multimedia and Expo (ICME), 883-888, 2017 | 79 | 2017 |
| Domain Regeneration for Cross-Database Micro-Expression Recognition Y Zong, W Zheng, X Huang, J Shi, Z Cui, G Zhao IEEE Transactions on Image Processing 27 (5), 2484-2498, 2018 | 75 | 2018 |
| Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition L Zhou, Q Mao, X Huang, F Zhang, Z Zhang Pattern Recognition 122, 108275, 2022 | 69 | 2022 |
| Towards a dynamic expression recognition system under facial occlusion X Huang, G Zhao, W Zheng, M Pietikäinen Pattern Recognition Letters 33 (16), 2181-2191, 2012 | 69 | 2012 |
| Reading hidden emotions: spontaneous micro-expression spotting and recognition X Li, X Hong, A Moilanen, X Huang, T Pfister, G Zhao, M Pietikäinen arXiv preprint arXiv:1511.00423 2 (6), 7, 2015 | 57 | 2015 |
