| Super-resolution through neighbor embedding H Chang, DY Yeung, Y Xiong Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 2648 | 2004 |
| Robust path-based spectral clustering H Chang, DY Yeung Pattern Recognition 41 (1), 191-203, 2008 | 616 | 2008 |
| SVC2004: First international signature verification competition DY Yeung, H Chang, Y Xiong, S George, R Kashi, T Matsumoto, G Rigoll Biometric Authentication: First International Conference, ICBA 2004, Hong …, 2004 | 591 | 2004 |
| Iou loss for 2d/3d object detection D Zhou, J Fang, X Song, C Guan, J Yin, Y Dai, R Yang 2019 International Conference on 3D Vision (3DV), 85-94, 2019 | 461* | 2019 |
| Cross attention network for few-shot classification R Hou, H Chang, B Ma, S Shan, X Chen Advances in Neural Information Processing Systems 32, 2019 | 423 | 2019 |
| Deep network cascade for image super-resolution Z Cui, H Chang, S Shan, B Zhong, X Chen Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 320 | 2014 |
| Interaction-and-aggregation network for person re-identification R Hou, B Ma, H Chang, X Gu, S Shan, X Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 301 | 2019 |
| Stacked progressive auto-encoders (spae) for face recognition across poses M Kan, S Shan, H Chang, X Chen Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 262 | 2014 |
| Dynamic R-CNN: Towards high quality object detection via dynamic training H Zhang, H Chang, B Ma, N Wang, X Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 243 | 2020 |
| Low-resolution face recognition via coupled locality preserving mappings B Li, H Chang, S Shan, X Chen IEEE Signal processing letters 17 (1), 20-23, 2009 | 228 | 2009 |
| Robust locally linear embedding H Chang, DY Yeung Pattern recognition 39 (6), 1053-1065, 2006 | 223 | 2006 |
| Chinese Academy of Sciences L Zhang Status and Perspectives on Trans-Petaflops HPC Development in China …, 2011 | 212* | 2011 |
| Vrstc: Occlusion-free video person re-identification R Hou, B Ma, H Chang, X Gu, S Shan, X Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 180 | 2019 |
| A kernel approach for semisupervised metric learning DY Yeung, H Chang IEEE Transactions on Neural Networks 18 (1), 141-149, 2007 | 129 | 2007 |
| Locally linear metric adaptation for semi-supervised clustering H Chang, DY Yeung Proceedings of the twenty-first international conference on Machine learning, 20, 2004 | 95 | 2004 |
| 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 | 93 | 2009 |
| Aligning coupled manifolds for face hallucination B Li, H Chang, S Shan, X Chen IEEE Signal Processing Letters 16 (11), 957-960, 2009 | 88 | 2009 |
| Visual relationship detection with deep structural ranking K Liang, Y Guo, H Chang, X Chen Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 86 | 2018 |
| Appearance-preserving 3d convolution for video-based person re-identification X Gu, H Chang, B Ma, H Zhang, X Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 85 | 2020 |
| Multiview metric learning with global consistency and local smoothness D Zhai, H Chang, S Shan, X Chen, W Gao ACM Transactions on Intelligent Systems and Technology (TIST) 3 (3), 1-22, 2012 | 77 | 2012 |
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
