Xintao Wang

Xintao is currently a third-year Ph.D. student in Multimedia Laboratory, The Chinese University of Hong Kong, supervised by Prof. Xiaoou Tang and Prof. Chen Change Loy. He also works closely with Prof. Chao Dong. Previously, He received the B. Eng degree from Zhejiang University in 2016.

His research interests include computer vision and deep learning, particularly focusing on image/video restoration tasks, such as super-resolution.

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Publications

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

Xintao Wang, Kelvin C.K. Chan, Ke Yu, Chao Dong, Chen Change Loy
Computer Vision and Pattern Recognition Workshops (CVPRW), 2019; Champions, NTIRE 2019 Challenges on Video Restoration and Enhancement
[ PDF ] [ Project Page ] [ Codes ] [ BibTex ]
Path-Restore: Learning Network Path Selection for Image Restoration

Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy
arXiv preprint arXiv:1904.10343, 2019.
[ PDF ] [ Project Page ] [ Codes ] [ BibTex ]
Deep Network Interpolation for Continuous Imagery Effect Transition

Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2019
[ PDF ] [ Project Page ] [ Codes ] [ BibTex ]
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy
European Conference on Computer Vision Workshops (ECCVW), 2018; Champion, PIRM 2018 Challenge on Perceptual Super-Resolution (3rd track)
[ PDF ] [ Project Page | Codes ] [ BibTex ]
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2018
[ PDF ] [ Project Page ] [ Codes ] [ BibTex ]


© Xintao Wang | Last updated: May 04, 2019