| Super-resolution through neighbor embedding H Chang, DY Yeung, Y Xiong Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 2749 | 2004 |
| Robust path-based spectral clustering H Chang, DY Yeung Pattern Recognition 41 (1), 191-203, 2008 | 663 | 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 | 604 | 2004 |
| 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 | 577 | 2019 |
| 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 | 374 | 2020 |
| 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 | 362 | 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 | 332 | 2014 |
| 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 | 283 | 2014 |
| 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 | 239 | 2009 |
| Robust locally linear embedding H Chang, DY Yeung Pattern recognition 39 (6), 1053-1065, 2006 | 228 | 2006 |
| Chinese Academy of Sciences L Zhang Status and Perspectives on Trans-Petaflops HPC Development in China …, 2011 | 221* | 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 | 218 | 2019 |
| A kernel approach for semisupervised metric learning DY Yeung, H Chang IEEE Transactions on Neural Networks 18 (1), 141-149, 2007 | 131 | 2007 |
| Joint feature learning and relation modeling for tracking: A one-stream framework B Ye, H Chang, B Ma, S Shan, X Chen European Conference on Computer Vision, 341-357, 2022 | 126 | 2022 |
| 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 | 109 | 2020 |
| 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 | 98 | 2018 |
| 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 | 94 | 2009 |
| Temporal complementary learning for video person re-identification R Hou, H Chang, B Ma, S Shan, X Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 90 | 2020 |
| Tcts: A task-consistent two-stage framework for person search C Wang, B Ma, H Chang, S Shan, X Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 89 | 2020 |
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
