577 citations · 2.2k across the 64 of their papers we have counts for
6 papers · 1 filter
CRF-CNN: Modeling Structured Information in Human Pose Estimation
Xiao Chu, Wanli Ouyang, Hongsheng Li +1
Deep convolutional neural networks (CNN) have achieved great success. On the other hand, modeling structural information has been proved critical in many vision problems. It is of…
Crafting GBD-Net for Object Detection
Xingyu Zeng, Wanli Ouyang, Junjie Yan +9
The visual cues from multiple support regions of different sizes and resolutions are complementary in classifying a candidate box in object detection. Effective integration of loca…
Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
Tong Xiao, Hongsheng Li, Wanli Ouyang +1
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…
Object Detection from Video Tubelets with Convolutional Neural Networks
Kai Kang, Wanli Ouyang, Hongsheng Li +1
Deep Convolution Neural Networks (CNNs) have shown impressive performance in various vision tasks such as image classification, object detection and semantic segmentation. For obje…
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
Kai Kang, Hongsheng Li, Junjie Yan +8
The state-of-the-art performance for object detection has been significantly improved over the past two years. Besides the introduction of powerful deep neural networks such as Goo…
Structured Feature Learning for Pose Estimation
Xiao Chu, Wanli Ouyang, Hongsheng Li +1
In this paper, we propose a structured feature learning framework to reason the correlations among body joints at the feature level in human pose estimation. Different from existin…