| A Review of Recent Advances in Visual Speech Decoding Z Zhou, G Zhao, X Hong, M Pietikainen Image and Vision Computing, 2014 | 128 | 2014 |
| 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 Transactions on Affective Computing 9 (04), 563-577, 2018 | 120 | 2018 |
| Combining LBP Difference and Feature Correlation for Texture Description. X Hong, G Zhao, M Pietikäinen, X Chen IEEE Transactions on Image Processing 23 (6), 2557 - 2568, 2014 | 106 | 2014 |
| 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 | 86 | 2016 |
| A PCA based visual DCT feature extraction method for lip-reading X Hong, H Yao, Y Wan, R Chen 2006 International Conference on Intelligent Information Hiding and …, 2006 | 74 | 2006 |
| Sigma set: A small second order statistical region descriptor X Hong, H Chang, S Shan, X Chen, W Gao 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1802-1809, 2009 | 72 | 2009 |
| Dynamic texture and scene classification by transferring deep image features X Qi, CG Li, G Zhao, X Hong, M Pietikäinen Neurocomputing 171, 1230-1241, 2016 | 68 | 2016 |
| Recurrent convolutional neural network regression for continuous pain intensity estimation in video J Zhou, X Hong, F Su, G Zhao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 57 | 2016 |
| Age estimation using local binary pattern kernel density estimate J Ylioinas, A Hadid, X Hong, M Pietikäinen International Conference on Image Analysis and Processing, 141-150, 2013 | 53 | 2013 |
| Selective deep features for micro-expression recognition D Patel, X Hong, G Zhao 2016 23rd International Conference on Pattern Recognition (ICPR), 2258-2263, 2016 | 51 | 2016 |
| A Compact Representation of Visual Speech Data Using Latent Variables Z Zhou, X Hong, G Zhao, M Pietikäinen IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (1), 2014 | 45 | 2014 |
| 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, 2015 | 36 | 2015 |
| Isolated Sign Language Recognition with Grassmann Covariance Matrices H Wang, C Xiujuan, X Hong, G Zhao, X Chen ACM Transactions on Accessible Computing, 8 (4), 2016 | 29 | 2016 |
| Capturing Correlations of Local Features for Image Representation X Hong, G Zhao, S Zafeiriou, M Pantic, M Pietikäinen Neurocomputing 184 (0), 99-106, 2016 | 23 | 2016 |
| Background Subtraction using Spatio-Temporal Group Sparsity Recovery X Liu, J Yao, X Hong, X Huang, Z Zhou, C Qi, G Zhao IEEE Transactions on Circuits and Systems for Video Technology, 2017 | 19 | 2017 |
| Hierarchical contour closure-based holistic salient object detection Q Liu, X Hong, B Zou, J Chen, Z Chen, G Zhao IEEE Transactions on Image Processing 26 (9), 4537-4552, 2017 | 18 | 2017 |
| OMEG: Oulu Multi-pose Eye Gaze Dataset Q He, X Hong, X Chai, J Holappa, G Zhao, X Chen, M Pietikäinen the 19th Scandinavian Conference on Image Analysis, 2015 | 16 | 2015 |
| Improved spatiotemporal local monogenic binary pattern for emotion recognition in the wild X Huang, Q He, X Hong, G Zhao, M Pietikainen Proceedings of the 16th International Conference on Multimodal Interaction …, 2014 | 16 | 2014 |
| Structured partial least squares for simultaneous object tracking and segmentation B Zhong, X Yuan, R Ji, Y Yan, Z Cui, X Hong, Y Chen, T Wang, D Chen, ... Neurocomputing 133, 317-327, 2014 | 16 | 2014 |
| Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions Z Xia, X Hong, X Gao, X Feng, G Zhao IEEE Transactions on Multimedia, 2019 | 15 | 2019 |
Guoying ZhaoProfessor of Computer Science and Engineering, University of OuluVerified email at oulu.fi
