X
Xinchao Wang
Researcher at National University of Singapore
Publications - 199
Citations - 6621
Xinchao Wang is an academic researcher from National University of Singapore. The author has contributed to research in topics: Computer science & Convolutional neural network. The author has an hindex of 32, co-authored 140 publications receiving 3921 citations. Previous affiliations of Xinchao Wang include University of Sydney & University of Illinois at Urbana–Champaign.
Papers
More filters
Proceedings ArticleDOI
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte,Eirikur Agustsson,Luc Van Gool,Ming-Hsuan Yang,Lei Zhang,Bee Oh Lim,Sanghyun Son,Heewon Kim,Seungjun Nah,Kyoung Mu Lee,Xintao Wang,Yapeng Tian,Ke Yu,Yulun Zhang,Shixiang Wu,Chao Dong,Liang Lin,Yu Qiao,Chen Change Loy,Woong Bae,Jaejun Yoo,Yoseob Han,Jong Chul Ye,Jae-Seok Choi,Munchurl Kim,Yuchen Fan,Jiahui Yu,Wei Han,Ding Liu,Haichao Yu,Zhangyang Wang,Honghui Shi,Xinchao Wang,Thomas S. Huang,Yunjin Chen,Kai Zhang,Wangmeng Zuo,Zhimin Tang,Linkai Luo,Shaohui Li,Min Fu,Lei Cao,Wen Heng,Giang Bui,Truc Le,Ye Duan,Dacheng Tao,Ruxin Wang,Xu Lin,Jianxin Pang,Xu Jinchang,Yu Zhao,Xiangyu Xu,Jinshan Pan,Deqing Sun,Yujin Zhang,Xibin Song,Yuchao Dai,Xueying Qin,Xuan-Phung Huynh,Tiantong Guo,Hojjat Seyed Mousavi,Tiep H. Vu,Vishal Monga,Cristóvão Cruz,Karen Egiazarian,Vladimir Katkovnik,Rakesh Mehta,Arnav Kumar Jain,Abhinav Agarwalla,Ch V. Sai Praveen,Ruofan Zhou,Hongdiao Wen,Che Zhu,Zhiqiang Xia,Zhengtao Wang,Qi Guo +76 more
TL;DR: This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results and gauges the state-of-the-art in single imagesuper-resolution.
Proceedings ArticleDOI
On Compressing Deep Models by Low Rank and Sparse Decomposition
TL;DR: A unified framework integrating the low-rank and sparse decomposition of weight matrices with the feature map reconstructions is proposed, which can significantly reduce the parameters for both convolutional and fully-connected layers.
Journal ArticleDOI
Horizontal Pyramid Matching for Person Re-Identification
Yang Fu,Yunchao Wei,Yuqian Zhou,Honghui Shi,Gao Huang,Xinchao Wang,Zhiqiang Yao,Thomas S. Huang +7 more
TL;DR: A simple yet effective Horizontal Pyramid Matching (HPM) approach to fully exploit various partial information of a given person, so that correct person candidates can be still identified even even some key parts are missing.
Posted Content
Wide Activation for Efficient and Accurate Image Super-Resolution.
TL;DR: This report demonstrates that with same parameters and computational budgets, models with wider features before ReLU activation have significantly better performance for single image super-resolution (SISR) and introduces linear low-rank convolution into SR networks to achieve even better accuracy-efficiency tradeoffs.
Proceedings ArticleDOI
Distilling Knowledge From Graph Convolutional Networks
TL;DR: This paper proposes a local structure preserving module that explicitly accounts for the topological semantics of the teacher GCN, and achieves the state-of-the-art knowledge distillation performance for GCN models.