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Namhyuk Ahn
Namhyuk Ahn
NAVER WEBTOON AI
Verified email at webtoonscorp.com - Homepage
Title
Cited by
Cited by
Year
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network
N Ahn, B Kang, KA Sohn
European Conference on Computer Vision (ECCV), 2018
6842018
Ntire 2020 challenge on real-world image super-resolution: Methods and results
A Lugmayr, M Danelljan, R Timofte
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
1112020
Rethinking data augmentation for image super-resolution: A comprehensive analysis and a new strategy
J Yoo*, N Ahn*, KA Sohn
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
602020
Image super-resolution via progressive cascading residual network
N Ahn, B Kang, KA Sohn
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018
432018
Efficient Deep Neural Network for Photo-realistic Image Super-Resolution
N Ahn, B Kang, KA Sohn
Pattern Recognition, 2022
13*2022
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution
N Ahn*, J Yoo*, KA Sohn
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
92020
Image distortion detection using convolutional neural network
N Ahn, B Kang, KA Sohn
Asian Conference on Pattern Recognition (ACPR), 2017
92017
What is Wrong with One-Class Anomaly Detection?
JK Park, JH Moon, N Ahn, KA Sohn
International Conference on Learning Representations Workshops (ICLRW), 2021
12021
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
S Kim*, N Ahn*, KA Sohn
Asian Conference on Computer Vision (ACCV), 2020
12020
Cross-Domain Style Mixing for Face Cartoonization
S Kim, C Gwak, D Kim, K Lee, J Back, N Ahn, D Kim
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022
2022
Exploiting Distortion Information for Multi-Degraded Image Restoration
W Shin, N Ahn, JH Moon, KA Sohn
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW íŽ, 2022
2022
Decomposing Texture and Semantics for Out-of-distribution Detection
JH Moon, N Ahn, KA Sohn
2021
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Articles 1–12