| Unsupervised salience learning for person re-identification R Zhao, W Ouyang, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 843 | 2013 |
| Visual tracking with fully convolutional networks L Wang, W Ouyang, X Wang, H Lu Proceedings of the IEEE international conference on computer vision, 3119-3127, 2015 | 608 | 2015 |
| Learning deep feature representations with domain guided dropout for person re-identification T Xiao, H Li, W Ouyang, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 511 | 2016 |
| Saliency detection by multi-context deep learning R Zhao, W Ouyang, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 498 | 2015 |
| Learning mid-level filters for person re-identification R Zhao, W Ouyang, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 497 | 2014 |
| Joint deep learning for pedestrian detection W Ouyang, X Wang Proceedings of the IEEE International Conference on Computer Vision, 2056-2063, 2013 | 476 | 2013 |
| Person re-identification by salience matching R Zhao, W Ouyang, X Wang Proceedings of the IEEE International Conference on Computer Vision, 2528-2535, 2013 | 432 | 2013 |
| Deepid-net: Deformable deep convolutional neural networks for object detection W Ouyang, X Wang, X Zeng, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 355* | 2015 |
| A discriminative deep model for pedestrian detection with occlusion handling W Ouyang, X Wang 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3258-3265, 2012 | 236 | 2012 |
| Object detection from video tubelets with convolutional neural networks K Kang, W Ouyang, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 225* | 2016 |
| Multi-context attention for human pose estimation X Chu, W Yang, W Ouyang, C Ma, AL Yuille, X Wang Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on 1 (2), 2017 | 178 | 2017 |
| Stct: Sequentially training convolutional networks for visual tracking L Wang, W Ouyang, X Wang, H Lu Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 175 | 2016 |
| Multi-source deep learning for human pose estimation W Ouyang, X Chu, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 173 | 2014 |
| Single-pedestrian detection aided by two-pedestrian detection W Ouyang, X Zeng, X Wang IEEE transactions on pattern analysis and machine intelligence 37 (9), 1875 …, 2015 | 162* | 2015 |
| End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation W Yang, W Ouyang, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 139 | 2016 |
| Multi-stage contextual deep learning for pedestrian detection X Zeng, W Ouyang, X Wang Proceedings of the IEEE International Conference on Computer Vision, 121-128, 2013 | 137 | 2013 |
| Modeling Mutual Visibility Relationship in Pedestrian Detection W Ouyang, X Zeng, X Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013 | 128 | 2013 |
| Structured feature learning for pose estimation X Chu, W Ouyang, H Li, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 126 | 2016 |
| Multi-scale continuous crfs as sequential deep networks for monocular depth estimation D Xu, E Ricci, W Ouyang, X Wang, N Sebe Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017 | 110 | 2017 |
| Learning feature pyramids for human pose estimation W Yang, S Li, W Ouyang, H Li, X Wang Proceedings of the IEEE International Conference on Computer Vision, 1281-1290, 2017 | 109 | 2017 |
Xiaogang WangAssociate Professor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk