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- University of Science and Technology of ChinaCN178 papers
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5 papers · 2 filters
Deep Representation Learning with Part Loss for Person Re-Identification
Hantao Yao, Shiliang Zhang, Yongdong Zhang +2
Learning discriminative representations for unseen person images is critical for person Re-Identification (ReID). Most of current approaches learn deep representations in classific…
Enhancing Person Re-identification in a Self-trained Subspace
Xun Yang, Meng Wang, Richang Hong +2
Despite the promising progress made in recent years, person re-identification (re-ID) remains a challenging task due to the complex variations in human appearances from different c…
GUN: Gradual Upsampling Network for Single Image Super-Resolution
Yang Zhao, Guoqing Li, Wenjun Xie +3
In this paper, an efficient super-resolution (SR) method based on deep convolutional neural network (CNN) is proposed, namely Gradual Upsampling Network (GUN). Recent CNN based SR…
Local Patch Encoding-Based Method for Single Image Super-Resolution
Yang Zhao, Ronggang Wang, Wei Jia +3
Recent learning-based super-resolution (SR) methods often focus on dictionary learning or network training. In this paper, we discuss in detail a new SR method based on local patch…
Video-based Person Re-identification with Accumulative Motion Context
Hao Liu, Zequn Jie, Karlekar Jayashree +4
Video based person re-identification plays a central role in realistic security and video surveillance. In this paper we propose a novel Accumulative Motion Context (AMOC) network…