Wanli Ouyang (欧阳万里)
Wanli Ouyang (欧阳万里)
Senior Lecturer at The University of Sydney
Verified email at sydney.edu.au - Homepage
TitleCited byYear
Unsupervised salience learning for person re-identification
R Zhao, W Ouyang, X Wang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
8942013
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
6742015
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
5702016
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
5522015
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
5202014
Joint deep learning for pedestrian detection
W Ouyang, X Wang
Proceedings of the IEEE International Conference on Computer Vision, 2056-2063, 2013
5192013
Person re-identification by salience matching
R Zhao, W Ouyang, X Wang
Proceedings of the IEEE International Conference on Computer Vision, 2528-2535, 2013
4542013
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
379*2015
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
268*2016
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
2532012
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
2142017
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
1902016
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
1792014
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
172*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
1532016
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
1442013
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
1422016
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
1412017
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
1382017
Modeling Mutual Visibility Relationship in Pedestrian Detection
W Ouyang, X Zeng, X Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
1342013
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Articles 1–20