1.8k citations · 6.1k across the 149 of their papers we have counts for
9 papers · 2 filters
Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification
Rahul Rama Varior, Gang Wang
This paper addresses the problem of matching pedestrians across multiple camera views, known as person re-identification. Variations in lighting conditions, environment and pose ch…
Video Tracking Using Learned Hierarchical Features
Li Wang, Ting Liu, Gang Wang +2
In this paper, we propose an approach to learn hierarchical features for visual object tracking. First, we offline learn features robust to diverse motion patterns from auxiliary v…
Towards Predicting the Likeability of Fashion Images
Jinghua Wang, Abrar Abdul Nabi, Gang Wang +2
In this paper, we propose a method for ranking fashion images to find the ones which might be liked by more people. We collect two new datasets from image sharing websites (Pintere…
Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders
Zhouhan Lin, Yushi Chen, Xing Zhao +1
Hyperspectral image (HSI) classification is a hot topic in the remote sensing community. This paper proposes a new framework of spectral-spatial feature extraction for HSI classifi…
Hierarchical Spatial Sum-Product Networks for Action Recognition in Still Images
Jinghua Wang, Gang Wang
Recognizing actions from still images is popularly studied recently. In this paper, we model an action class as a flexible number of spatial configurations of body parts by proposi…
Learning Fine-grained Features via a CNN Tree for Large-scale Classification
Zhenhua Wang, Xingxing Wang, Gang Wang
We propose a novel approach to enhance the discriminability of Convolutional Neural Networks (CNN). The key idea is to build a tree structure that could progressively learn fine-gr…