| Enhanced skeleton visualization for view invariant human action recognition M Liu, H Liu, C Chen Pattern Recognition 68, 346-362, 2017 | 619 | 2017 |
| Recurrent squeeze-and-excitation context aggregation net for single image deraining X Li, J Wu, Z Lin, H Liu, H Zha Proceedings of the European conference on computer vision (ECCV), 254-269, 2018 | 572 | 2018 |
| Expectation-maximization attention networks for semantic segmentation X Li, Z Zhong, J Wu, Y Yang, Z Lin, H Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 416 | 2019 |
| Attention-guided CNN for image denoising C Tian, Y Xu, Z Li, W Zuo, L Fei, H Liu Neural Networks 124, 117-129, 2020 | 313 | 2020 |
| Structured attention guided convolutional neural fields for monocular depth estimation D Xu, W Wang, H Tang, H Liu, N Sebe, E Ricci Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 278 | 2018 |
| Violence detection using oriented violent flows Y Gao, H Liu, X Sun, C Wang, Y Liu Image and vision computing 48, 37-41, 2016 | 233 | 2016 |
| Incomplete multiview spectral clustering with adaptive graph learning J Wen, Y Xu, H Liu IEEE transactions on cybernetics 50 (4), 1418-1429, 2018 | 201 | 2018 |
| Using the original and ‘symmetrical face’training samples to perform representation based two-step face recognition Y Xu, X Zhu, Z Li, G Liu, Y Lu, H Liu Pattern recognition 46 (4), 1151-1158, 2013 | 190 | 2013 |
| Data uncertainty in face recognition Y Xu, X Fang, X Li, J Yang, J You, H Liu, S Teng IEEE transactions on cybernetics 44 (10), 1950-1961, 2014 | 151 | 2014 |
| Multiview vector-valued manifold regularization for multilabel image classification Y Luo, D Tao, C Xu, C Xu, H Liu, Y Wen IEEE transactions on neural networks and learning systems 24 (5), 709-722, 2013 | 144 | 2013 |
| Coarse to fine K nearest neighbor classifier Y Xu, Q Zhu, Z Fan, M Qiu, Y Chen, H Liu Pattern recognition letters 34 (9), 980-986, 2013 | 141 | 2013 |
| Spatial pyramid based graph reasoning for semantic segmentation X Li, Y Yang, Q Zhao, T Shen, Z Lin, H Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 130 | 2020 |
| Two-stream 3d convolutional neural network for skeleton-based action recognition H Liu, J Tu, M Liu arXiv preprint arXiv:1705.08106, 2017 | 128 | 2017 |
| TDD‐net: a tiny defect detection network for printed circuit boards R Ding, L Dai, G Li, H Liu CAAI Transactions on Intelligence Technology 4 (2), 110-116, 2019 | 112 | 2019 |
| Attentiongan: Unpaired image-to-image translation using attention-guided generative adversarial networks H Tang, H Liu, D Xu, PHS Torr, N Sebe IEEE transactions on neural networks and learning systems, 2021 | 104 | 2021 |
| Unified embedding alignment with missing views inferring for incomplete multi-view clustering J Wen, Z Zhang, Y Xu, B Zhang, L Fei, H Liu Proceedings of the AAAI conference on artificial intelligence 33 (01), 5393-5400, 2019 | 104 | 2019 |
| Online growing neural gas for anomaly detection in changing surveillance scenes Q Sun, H Liu, T Harada Pattern Recognition 64, 187-201, 2017 | 101 | 2017 |
| A survey on 3d skeleton-based action recognition using learning method B Ren, M Liu, R Ding, H Liu arXiv preprint arXiv:2002.05907, 2020 | 93 | 2020 |
| Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion H Tang, H Liu, W Xiao, N Sebe Neurocomputing 331, 424-433, 2019 | 91 | 2019 |
| 3D Action Recognition Using Multi-temporal Depth Motion Maps and Fisher Vector C Chen, M Liu, B Zhang, J Han, J Jiang, H Liu 25th International Joint Conference on Artificial Intelligence (IJCAI-16), 2016 | 78 | 2016 |
