| Unsupervised salience learning for person re-identification R Zhao, W Ouyang, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 1158 | 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 | 988 | 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 | 909 | 2016 |
| Deep learning for generic object detection: A survey L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen International Journal of Computer Vision (IJCV) 1809, 261–318, 2020 | 851 | 2020 |
| 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 | 848 | 2015 |
| Joint deep learning for pedestrian detection W Ouyang, X Wang Proceedings of the IEEE international conference on computer vision, 2056-2063, 2013 | 696 | 2013 |
| 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 | 611 | 2014 |
| 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 | 542* | 2015 |
| Person re-identification by salience matching R Zhao, W Ouyang, X Wang Proceedings of the IEEE international conference on computer vision, 2528-2535, 2013 | 541 | 2013 |
| MMDetection: Open mmlab detection toolbox and benchmark K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ... arXiv preprint arXiv:1906.07155, 2019 | 521 | 2019 |
| 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 | 478 | 2017 |
| Hybrid task cascade for instance segmentation K Chen, J Pang, J Wang, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Shi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 386 | 2019 |
| Libra r-cnn: Towards balanced learning for object detection J Pang, K Chen, J Shi, H Feng, W Ouyang, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 381 | 2019 |
| Mask-guided contrastive attention model for person re-identification C Song, Y Huang, W Ouyang, L Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 335 | 2018 |
| 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 | 334 | 2017 |
| 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 | 323 | 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 | 320 | 2016 |
| Attention-Aware Compositional Network for Person Re-identification J Xu, R Zhao, F Zhu, H Wang, W Ouyang Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018 | 314 | 2018 |
| T-cnn: Tubelets with convolutional neural networks for object detection from videos K Kang, H Li, J Yan, X Zeng, B Yang, T Xiao, C Zhang, Z Wang, R Wang, ... IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2896 …, 2017 | 312 | 2017 |
| 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 | 296 | 2017 |
Xiaogang WangAssociate Professor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
