Wanli Ouyang

Publications
Influence

Unsupervised Salience Learning for Person Re-identification

R. Zhao, Wanli Ouyang, Xiaogang Wang
Computer Science
IEEE Conference on Computer Vision and Pattern…
23 June 2013

We apply adjacency constrained patch matching to build dense correspondence between image pairs, which shows effectiveness in handling misalignment caused by large viewpoint and pose variations. Expand

Saliency detection by multi-context deep learning

R. Zhao, Wanli Ouyang, Hongsheng Li, Xiaogang Wang
Computer Science
IEEE Conference on Computer Vision and Pattern…
7 June 2015

We propose a multi-context deep learning framework to model saliency of objects in images by taking global and local context into account. Expand

Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

Tong Xiao, Hongsheng Li, Wanli Ouyang, Xiaogang Wang
Computer Science
IEEE Conference on Computer Vision and Pattern…
26 April 2016

Learning generic and robust feature representations with data from multiple domains for the same problem is of great value, especially for the problems that have multiple datasets but none of them are large enough. Expand

Visual Tracking with Fully Convolutional Networks

L. Wang, Wanli Ouyang, Xiaogang Wang, H. Lu
Computer Science
IEEE International Conference on Computer Vision…
7 December 2015

We conduct in-depth study on the properties of CNN features offline pre-trained on massive image data and classification task on ImageNet. Expand

Learning Mid-level Filters for Person Re-identification

R. Zhao, Wanli Ouyang, Xiaogang Wang
Mathematics, Computer Science
IEEE Conference on Computer Vision and Pattern…
23 June 2014

We propose a novel approach of learning mid-level filters from automatically discovered patch clusters for person re-identification that are view-invariant and discriminatively learned. Expand

Person Re-identification by Salience Matching

R. Zhao, Wanli Ouyang, Xiaogang Wang
Mathematics, Computer Science
IEEE International Conference on Computer Vision
1 December 2013

We exploit the pair wise salience distribution relationship between pedestrian images, and solve the person re-identification problem by proposing a salience matching strategy. Expand

Hybrid Task Cascade for Instance Segmentation

K. Chen, Jiangmiao Pang, +9 authors D. Lin
Computer Science
IEEE/CVF Conference on Computer Vision and…
22 January 2019

Cascade is a classic yet powerful architecture that has boosted performance on various tasks. Expand

Libra R-CNN: Towards Balanced Learning for Object Detection

Jiangmiao Pang, K. Chen, J. Shi, H. Feng, Wanli Ouyang, D. Lin
Computer Science
IEEE/CVF Conference on Computer Vision and…
4 April 2019

We propose Libra R-CNN, a simple but effective framework towards balanced learning for object detection. Expand

Quality Aware Network for Set to Set Recognition

Yu Liu, J. Yan, Wanli Ouyang
Computer Science
IEEE Conference on Computer Vision and Pattern…
11 April 2017

This paper targets on the problem of set to set recognition, which learns the metric between two image sets. Expand

Joint Deep Learning for Pedestrian Detection

Wanli Ouyang, Xiaogang Wang
Computer Science
IEEE International Conference on Computer Vision
1 December 2013

We propose a unified deep model for jointly learning feature extraction, a part deformation model, an occlusion model and classification. Expand

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