794 citations · 2.4k across the 82 of their papers we have counts for
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cs.CV2016
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…
cs.CV2016
Multi-Bias Non-linear Activation in Deep Neural Networks
Hongyang Li, Wanli Ouyang, Xiaogang Wang
As a widely used non-linear activation, Rectified Linear Unit (ReLU) separates noise and signal in a feature map by learning a threshold or bias. However, we argue that the classif…
cs.CV2016
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…