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Sanghyun Son
Sanghyun Son
Department of Electrical and Computer Engineering, Seoul National University
Verified email at snu.ac.kr - Homepage
Title
Cited by
Cited by
Year
Enhanced deep residual networks for single image super-resolution
B Lim, S Son, H Kim, S Nah, K Mu Lee
Proceedings of the IEEE conference on computer vision and pattern …, 2017
35072017
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 …, 2017
9722017
Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study
S Nah, S Baik, S Hong, G Moon, S Son, R Timofte, K Mu Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1532019
Recurrent neural networks with intra-frame iterations for video deblurring
S Nah, S Son, KM Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
752019
Clustering convolutional kernels to compress deep neural networks
S Son, S Nah, KM Lee
Proceedings of the European conference on computer vision (ECCV), 216-232, 2018
572018
Ntire 2019 challenge on video super-resolution: Methods and results
S Nah, R Timofte, S Gu, S Baik, S Hong, G Moon, S Son, K Mu Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
292019
Ntire 2020 challenge on image and video deblurring
S Nah, S Son, R Timofte, KM Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
282020
NTIRE 2021 challenge on image deblurring
S Nah, S Son, S Lee, R Timofte, KM Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
262021
Ntire 2019 challenge on video deblurring: Methods and results
S Nah, R Timofte, S Baik, S Hong, G Moon, S Son, K Mu Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
262019
NTIRE 2021 challenge on video super-resolution
S Son, S Lee, S Nah, R Timofte, KM Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
222021
AIM 2019 challenge on video temporal super-resolution: Methods and results
S Nah, S Son, R Timofte, KM Lee, L Siyao, Z Pan, X Xu, W Sun, M Choi, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
162019
AIM 2020 challenge on video temporal super-resolution
S Son, J Lee, S Nah, R Timofte, KM Lee, Y Liu, L Xie, L Siyao, W Sun, ...
European Conference on Computer Vision, 23-40, 2020
152020
SRWarp: Generalized image super-resolution under arbitrary transformation
S Son, KM Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
82021
C2N: Practical Generative Noise Modeling for Real-World Denoising
G Jang, W Lee, S Son, KM Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
Toward Real-World Super-Resolution via Adaptive Downsampling Models
S Son, J Kim, WS Lai, MH Yang, KM Lee
IEEE transactions on pattern analysis and machine intelligence, 2021
32021
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring
S Nah, S Son, J Lee, KM Lee
International Conference on Learning Representations, 2021
12021
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image
R Neshatavar, M Yavartanoo, S Son, KM Lee
arXiv preprint arXiv:2203.13009, 2022
2022
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
W Lee, S Son, KM Lee
arXiv preprint arXiv:2203.11799, 2022
2022
Clean Images are Hard to Reblur: A New Clue for Deblurring
S Nah, S Son, J Lee, KM Lee
arXiv preprint arXiv:2104.12665, 2021
2021
Image Super-Resolution
S Son, KM Lee
Computer Vision: A Reference Guide, 1-5, 2021
2021
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Articles 1–20