Ke Yu
Ke Yu
CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong
Verified email at ie.cuhk.edu.hk - Homepage
Title
Cited by
Cited by
Year
Esrgan: Enhanced super-resolution generative adversarial networks
X Wang, K Yu, S Wu, J Gu, Y Liu, C Dong, Y Qiao, C Change Loy
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
4892018
Recovering realistic texture in image super-resolution by deep spatial feature transform
X Wang, K Yu, C Dong, C Change Loy
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1952018
Edvr: Video restoration with enhanced deformable convolutional networks
X Wang, KCK Chan, K Yu, C Dong, C Change Loy
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
622019
Crafting a toolchain for image restoration by deep reinforcement learning
K Yu, C Dong, L Lin, C Change Loy
Proceedings of the IEEE conference on computer vision and pattern …, 2018
562018
Deep convolution networks for compression artifacts reduction
K Yu, C Dong, CC Loy, X Tang
arXiv preprint arXiv:1608.02778, 2016
442016
Deep network interpolation for continuous imagery effect transition
X Wang, K Yu, C Dong, X Tang, CC Loy
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
162019
Path-Restore: Learning Network Path Selection for Image Restoration
K Yu, X Wang, C Dong, X Tang, CC Loy
arXiv preprint arXiv:1904.10343, 2019
122019
Improving On-policy Learning with Statistical Reward Accumulation
Y Deng, K Yu, D Lin, X Tang, CC Loy
arXiv preprint arXiv:1809.02387, 2018
2018
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