| Deep learning shape priors for object segmentation F Chen, H Yu, R Hu, X Zeng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 114 | 2013 |
| Attributes-aided part detection and refinement for person re-identification S Li, H Yu, R Hu Pattern Recognition 97, 107016, 2020 | 63 | 2020 |
| Structured pruning for efficient convnets via incremental regularization H Wang, Q Zhang, Y Wang, L Yu, H Hu 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 54 | 2019 |
| Triplet distillation for deep face recognition Y Feng, H Wang, HR Hu, L Yu, W Wang, S Wang 2020 IEEE International Conference on Image Processing (ICIP), 808-812, 2020 | 48 | 2020 |
| Structured probabilistic pruning for convolutional neural network acceleration H Wang, Q Zhang, Y Wang, H Hu arXiv preprint arXiv:1709.06994, 2017 | 47 | 2017 |
| Shape sparse representation for joint object classification and segmentation F Chen, H Yu, R Hu IEEE transactions on image processing 22 (3), 992-1004, 2012 | 44 | 2012 |
| Constrained optimisation of 3D polygonal mesh watermarking by quadratic programming R Hu, P Rondao-Alface, B Macq 2009 ieee international conference on acoustics, speech and signal …, 2009 | 40 | 2009 |
| Structured pruning for efficient convolutional neural networks via incremental regularization H Wang, X Hu, Q Zhang, Y Wang, L Yu, H Hu IEEE Journal of Selected Topics in Signal Processing 14 (4), 775-788, 2019 | 33 | 2019 |
| Intracranial hemorrhage detection by 3D voxel segmentation on brain CT images M Sun, R Hu, H Yu, B Zhao, H Ren 2015 International Conference on Wireless Communications & Signal Processing …, 2015 | 30 | 2015 |
| Topic evolution based on the probabilistic topic model: a review H Zhou, H Yu, R Hu Frontiers of Computer Science 11, 786-802, 2017 | 28 | 2017 |
| A survey on trends of cross-media topic evolution map H Zhou, H Yu, R Hu, J Hu Knowledge-Based Systems 124, 164-175, 2017 | 27 | 2017 |
| A ‘No Panacea Theorem’for classifier combination R Hu, RI Damper Pattern Recognition 41 (8), 2665-2673, 2008 | 26 | 2008 |
| Reinforcement learning-based mobile edge computing and transmission scheduling for video surveillance K Yan, H Shan, T Sun, H Hu, Y Wu, L Yu, Z Zhang, TQS Quek IEEE Transactions on Emerging Topics in Computing 10 (2), 1142-1156, 2021 | 25 | 2021 |
| Topic discovery and evolution in scientific literature based on content and citations H Zhou, H Yu, R Hu Frontiers of Information Technology & Electronic Engineering 18 (10), 1511-1524, 2017 | 22 | 2017 |
| Find who to look at: Turning from action to saliency M Xu, Y Liu, R Hu, F He IEEE Transactions on Image Processing 27 (9), 4529-4544, 2018 | 21 | 2018 |
| Fusion of two classifiers for speaker identification: removing and not removing silence R Hu, RI Damper 2005 7th International Conference on Information Fusion 1, 8 pp., 2005 | 21 | 2005 |
| Applying spread transform dither modulation for 3D-mesh watermarking by using perceptual models R Darazi, R Hu, B Macq 2010 IEEE international conference on acoustics, speech and signal …, 2010 | 20 | 2010 |
| Applying 3D polygonal mesh watermarking for transmission security protection through sensor networks R Hu, L Xie, H Yu, B Ding Mathematical problems in engineering 2014, 2014 | 17 | 2014 |
| Incorporating Watson's perceptual model into patchwork watermarking for digital images R Hu, F Chen, H Yu 2010 IEEE International Conference on Image Processing, 3705-3708, 2010 | 13 | 2010 |
| Structured deep neural network pruning by varying regularization parameters H Wang, Q Zhang, Y Wang, R Hu ArXiv preprint: 1804.09461 3, 2018 | 12 | 2018 |
