Chao Dong
TitleCited byYear
Image super-resolution using deep convolutional networks
C Dong, CC Loy, K He, X Tang
IEEE transactions on pattern analysis and machine intelligence 38 (2), 295-307, 2015
20022015
Learning a deep convolutional network for image super-resolution
C Dong, CC Loy, K He, X Tang
European conference on computer vision, 184-199, 2014
16282014
Accelerating the super-resolution convolutional neural network
C Dong, CC Loy, X Tang
European conference on computer vision, 391-407, 2016
5472016
Compression artifacts reduction by a deep convolutional network
C Dong, Y Deng, C Change Loy, X Tang
Proceedings of the IEEE International Conference on Computer Vision, 576-584, 2015
2552015
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern íK, 2017
2292017
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
812018
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 íK, 2018
702018
Deep convolution networks for compression artifacts reduction
K Yu, C Dong, CC Loy, X Tang
arXiv preprint arXiv:1608.02778, 2016
292016
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 íK, 2018
252018
Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks
Y Yuan, S Liu, J Zhang, Y Zhang, C Dong, L Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern íK, 2018
202018
PIRM challenge on perceptual image enhancement on smartphones: report
A Ignatov, R Timofte, T Van Vu, T Minh Luu, T X Pham, C Van Nguyen, ...
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
182018
Beautygan: Instance-level facial makeup transfer with deep generative adversarial network
T Li, R Qian, C Dong, S Liu, Q Yan, W Zhu, L Lin
2018 ACM Multimedia Conference on Multimedia Conference, 645-653, 2018
142018
Boosting optical character recognition: A super-resolution approach
C Dong, X Zhu, Y Deng, CC Loy, Y Qiao
arXiv preprint arXiv:1506.02211, 2015
122015
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution
G Qian, J Gu, JS Ren, C Dong, F Zhao, J Lin
arXiv preprint arXiv:1905.02538, 2019
22019
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
22019
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 íK, 2019
22019
Blind super-resolution with iterative kernel correction
J Gu, H Lu, W Zuo, C Dong
Proceedings of the IEEE Conference on Computer Vision and Pattern íK, 2019
22019
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 íK, 2019
22019
Artificial Neural Network for Prediction of Post-therapy Dosimetry for 177Lu-PSMA I&T Therapy
K Shi, C Dong, A Gafita, Y Zhao, G Tetteh, B Menze, A Afshar-Oromieh, ...
Journal of Nuclear Medicine 60 (supplement 1), 1185-1185, 2019
12019
Suppressing Model Overfitting for Image Super-Resolution Networks
R Feng, J Gu, Y Qiao, C Dong
Proceedings of the IEEE Conference on Computer Vision and Pattern íK, 2019
12019
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