| Bayesian loss for crowd count estimation with point supervision Z Ma, X Wei, X Hong, Y Gong Internation Conference on Computer Vision (ICCV), 2019 | 616 | 2019 |
| Few-shot class-incremental learning X Tao, X Hong, X Chang, S Dong, X Wei, Y Gong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 488 | 2020 |
| 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 | 431 | 2018 |
| Infrared-Visible Cross-Modal Person Re-Identification with an X Modality D Li, X Wei, X Hong, Y Gong AAAI20, 2020 | 403 | 2020 |
| Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching W Peng, X Hong, H Chen, G Zhao AAAI20, 2020 | 377 | 2020 |
| Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement Z Yu*, W Peng*, X Li, X Hong, G Zhao Internation Conference on Computer Vision (ICCV), 2019 | 328 | 2019 |
| 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 | 294 | 2016 |
| Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions Z Xia, X Hong, X Gao, X Feng, G Zhao IEEE Transactions on Multimedia, 2019 | 245 | 2019 |
| A Review of Recent Advances in Visual Speech Decoding Z Zhou, G Zhao, X Hong, M Pietikainen Image and Vision Computing, 2014 | 234 | 2014 |
| Topology-Preserving Class-Incremental Learning X Tao, X Chang, X Hong, X Wei, Y Gong European Conference on Computer Vision, 2020 | 198 | 2020 |
| Boosting crowd counting via multifaceted attention H Lin, Z Ma, R Ji, Y Wang, X Hong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 181 | 2022 |
| S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Y Wang, Z Huang, X Hong Conference on Neural Information Processing Systems 2022 (NeurIPS 22), 2022 | 179 | 2022 |
| Selective deep features for micro-expression recognition D Patel, X Hong, G Zhao 2016 23rd international conference on pattern recognition (ICPR), 2258-2263, 2016 | 177 | 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 | 176 | 2016 |
| Few-Shot Class-Incremental Learning via Relation Knowledge Distillation S Dong, X Hong, X Tao, X Chang, X Wei, Y Gong The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 | 163 | 2021 |
| 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 | 150 | 2014 |
| Image-to-image translation via hierarchical style disentanglement X Li, S Zhang, J Hu, L Cao, X Hong, X Mao, F Huang, Y Wu, R Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 136 | 2021 |
| Megc 2019–the second facial micro-expressions grand challenge J See, MH Yap, J Li, X Hong, SJ Wang 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 131 | 2019 |
| Universal perturbation attack against image retrieval J Li, R Ji, H Liu, X Hong, Y Gao, Q Tian Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 122 | 2019 |
| Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment Y He, X Wei, X Hong, W Shi, Y Gong IEEE Transactions on Image Processing 29 (1), pp. 5191-5205, 2020 | 114 | 2020 |
Guoying ZhaoAcademy Professor, IEEE Fellow, Professor of Computer Science and Engineering, University of OuluVerified email at oulu.fi