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Ke Yu
Ke Yu
CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong
Bestätigte E-Mail-Adresse bei ie.cuhk.edu.hk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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) Workshops, 0-0, 2018
43382018
Edvr: Video restoration with enhanced deformable convolutional networks
X Wang, KCK Chan, K Yu, C Dong, C Change Loy
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
10982019
Recovering realistic texture in image super-resolution by deep spatial feature transform
X Wang, K Yu, C Dong, CC Loy
Proceedings of the IEEE conference on computer vision and pattern …, 2018
10922018
BasicVSR: The search for essential components in video super-resolution and beyond
KCK Chan, X Wang, K Yu, C Dong, CC Loy
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
4492021
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
2152018
Understanding deformable alignment in video super-resolution
KCK Chan, X Wang, K Yu, C Dong, CC Loy
arXiv preprint arXiv:2009.07265 4, 3, 2020
1542020
Path-restore: Learning network path selection for image restoration
K Yu, X Wang, C Dong, X Tang, CC Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
1022021
Deep convolution networks for compression artifacts reduction
K Yu, C Dong, CC Loy, X Tang
arXiv preprint arXiv:1608.02778, 2016
992016
Deep network interpolation for continuous imagery effect transition
X Wang, K Yu, C Dong, X Tang, CC Loy
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
922019
ReconfigISP: Reconfigurable Camera Image Processing Pipeline
K Yu, Z Li, Y Peng, CC Loy, J Gu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
202021
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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