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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
46872017
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
12352017
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
2602019
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
1102019
Proceedings of the IEEE conference on computer vision and pattern recognition workshops
B Lim, S Son, H Kim, S Nah, KM Lee
Enhanced deep residual networks for single image super-resolution, 136-144, 2017
772017
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
752018
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
472021
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
322020
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
322019
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
312019
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
262021
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, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
192020
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
192019
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
162021
SRWarp: Generalized image super-resolution under arbitrary transformation
S Son, KM Lee
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
162021
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 44 (11), 8657 …, 2021
142021
Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network
W Lee, S Son, KM Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
112022
CVF-SID: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image
R Neshatavar, M Yavartanoo, S Son, KM Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
92022
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, 2022
52022
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
22021
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Articles 1–20