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ORCIDJae Woong Soh
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2020 – today
- 2023
[j12]Karam Park
, Jae Woong Soh, Nam Ik Cho:
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution. IEEE Trans. Multim. 25: 907-918 (2023)- 2022
- [j11]Jae Woong Soh, Nam Ik Cho:
Variational Deep Image Restoration. IEEE Trans. Image Process. 31: 4363-4376 (2022) - [j10]Hyuk Jin Kwon, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho:
Inverse-Based Approach to Explaining and Visualizing Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7318-7329 (2022) - [i10]Jae Woong Soh, Nam Ik Cho:
Variational Deep Image Restoration. CoRR abs/2207.01074 (2022) - [i9]Jae Woong Soh, Nam Ik Cho:
Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks. CoRR abs/2207.01075 (2022) - 2021
- [i8]Jae Woong Soh, Nam Ik Cho:
Deep Universal Blind Image Denoising. CoRR abs/2101.07017 (2021) - [i7]Jae Woong Soh, Nam Ik Cho:
Variational Deep Image Denoising. CoRR abs/2104.00965 (2021) - [i6]Karam Park, Jae Woong Soh, Nam Ik Cho:
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution. CoRR abs/2112.04488 (2021) - 2020
- [j9]Yoonsik Kim, Jae Woong Soh, Nam Ik Cho:
AGARNet: Adaptively Gated JPEG Compression Artifacts Removal Network for a Wide Range Quality Factor. IEEE Access 8: 20160-20170 (2020) - [j8]Jae Woong Soh, Nam Ik Cho:
Lightweight Single Image Super-Resolution With Multi-Scale Spatial Attention Networks. IEEE Access 8: 35383-35391 (2020) - [j7]Junho Jo, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho:
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Networks. Multim. Tools Appl. 79(43-44): 32137-32150 (2020) - [j6]Yoonsik Kim, Jae Woong Soh, Jaewoo Park, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho:
A Pseudo-Blind Convolutional Neural Network for the Reduction of Compression Artifacts. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1121-1135 (2020) - [c11]Junho Jo, Jae Woong Soh, Jae Sung Park, Nam Ik Cho:
Local Backlight Dimming for Liquid Crystal Displays via Convolutional Neural Network. APSIPA 2020: 1067-1074 - [c10]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 - [c9]Jae Woong Soh, Sunwoo Cho, Nam Ik Cho:
Meta-Transfer Learning for Zero-Shot Super-Resolution. CVPR 2020: 3513-3522 - [c8]Jae Woong Soh, Nam Ik Cho:
Deep Universal Blind Image Denoising. ICPR 2020: 747-754 - [c7]Karam Park, Jae Woong Soh, Nam Ik Cho:
Single Image Super-Resolution with Dynamic Residual Connection. ICPR 2020: 3240-3247 - [i5]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) - [i4]Jae Woong Soh, Sunwoo Cho, Nam Ik Cho:
Meta-Transfer Learning for Zero-Shot Super-Resolution. CoRR abs/2002.12213 (2020)
2010 – 2019
- 2019
- [j5]Yoonsik Kim, Jae Woong Soh, Nam Ik Cho:
Adaptively Tuning a Convolutional Neural Network by Gate Process for Image Denoising. IEEE Access 7: 63447-63456 (2019) - [j4]Jae Woong Soh, Jae Sung Park, Nam Ik Cho:
Joint High Dynamic Range Imaging and Super-Resolution From a Single Image. IEEE Access 7: 177427-177437 (2019) - [j3]Jae Sung Park, Jae Woong Soh, Nam Ik Cho:
Generation of high dynamic range illumination from a single image for the enhancement of undesirably illuminated images. Multim. Tools Appl. 78(14): 20263-20283 (2019) - [c6]Junho Jo, Jae Woong Soh, Nam Ik Cho:
Handwritten Text Segmentation in Scribbled Document via Unsupervised Domain Adaptation. APSIPA 2019: 784-790 - [c5]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 - [c4]Yoonsik Kim, Jae Woong Soh, Nam Ik Cho:
Adaptively Tuning a Convolutional Neural Network by Gating Process for Image Denoising. ICIP 2019: 1800-1804 - [c3]Hyuk Jin Kwon, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho:
Age Estimation Using Trainable Gabor Wavelet Layers In A Convolutional Neural Network. ICIP 2019: 3626-3630 - [c2]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 - [i3]Jae Woong Soh, Jae Sung Park, Nam Ik Cho:
Joint High Dynamic Range Imaging and Super-Resolution from a Single Image. CoRR abs/1905.00933 (2019) - [i2]Junho Jo, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho:
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network. CoRR abs/1906.05229 (2019) - [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
- [j2]Jae Sung Park, Jae Woong Soh, Nam Ik Cho:
High Dynamic Range and Super-Resolution Imaging From a Single Image. IEEE Access 6: 10966-10978 (2018) - [j1]Jae Woong Soh, Jaewoo Park, Yoonsik Kim, Byeongyong Ahn, Hyun-Seung Lee, Young-Su Moon, Nam Ik Cho:
Reduction of Video Compression Artifacts Based on Deep Temporal Networks. IEEE Access 6: 63094-63106 (2018) - 2017
- [c1]Jae Woong Soh, Hyun-Seung Lee, Nam Ik Cho:
An image compression algorithm based on the Karhunen Loève transform. APSIPA 2017: 1436-1439
Coauthor Index
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