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2020 – today
- 2023
[c7]Yeong Il Jang, Keuntek Lee, Gu Yong Park, Seyun Kim, Nam Ik Cho:
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network. ICCV 2023: 12162-12171- [i3]Yeong Il Jang, Keuntek Lee, Gu Yong Park, Seyun Kim, Nam Ik Cho:
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network. CoRR abs/2304.09507 (2023) - 2021
- [c6]Youngjin Oh, Gu Yong Park, Haesoo Chung, Sunwoo Cho, Nam Ik Cho:
Residual Dilated U-Net with Spatially Adaptive Normalization for the Restoration of Under Display Camera Images. APSIPA ASC 2021: 151-157 - 2020
- [c5]Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization. CVPR 2020: 3479-3489 - [i2]Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization. CoRR abs/2002.11244 (2020)
2010 – 2019
- 2019
- [c4]Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho:
Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination. CVPR 2019: 8122-8131 - [c3]Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Deep Hierarchical Single Image Super-Resolution by Exploiting Controlled Diverse Context Features. ISM 2019: 160-168 - [i1]Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho:
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination. CoRR abs/1911.03624 (2019) - 2018
- [c2]Byeongyong Ahn, Yoonsik Kim, Gu Yong Park, Nam Ik Cho:
Block-Matching Convolutional Neural Network (BMCNN): Improving CNN-Based Denoising by Block-Matched Inputs. APSIPA 2018: 516-525 - 2016
- [c1]Insung Hwang, Jae Sung Park, Gu Yong Park, Nam Ik Cho
:
Image co-saliency detection based on clustering and diffusion process. VCIP 2016: 1-4
Coauthor Index
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