An image compression algorithm based on the Karhunen Loève transform. - Jae Woong Soh; Hyun-Seung Lee; Nam Ik Cho (APSIPA, 2017)

High Dynamic Range and Super-Resolution Imaging From a Single Image. - Jae Sung Park; Jae Woong Soh; Nam Ik Cho (IEEE Access, 2018)

Reduction of Video Compression Artifacts Based on Deep Temporal Networks. - Jae Woong Soh; Jaewoo Park; Yoonsik Kim; Byeongyong Ahn; Hyun-Seung Lee; Young-Su Moon; Nam Ik Cho (IEEE Access, 2018)

Handwritten Text Segmentation in Scribbled Document via Unsupervised Domain Adaptation. - Junho Jo; Jae Woong Soh; Nam Ik Cho (APSIPA, 2019)

Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination. - Jae Woong Soh; Gu Yong Park; Junho Jo; Nam Ik Cho (CVPR, 2019)

Adaptively Tuning a Convolutional Neural Network by Gating Process for Image Denoising. - Yoonsik Kim; Jae Woong Soh; Nam Ik Cho (ICIP, 2019)

Age Estimation Using Trainable Gabor Wavelet Layers In A Convolutional Neural Network. - Hyuk Jin Kwon; Hyung Il Koo; Jae Woong Soh; Nam Ik Cho (ICIP, 2019)

Deep Hierarchical Single Image Super-Resolution by Exploiting Controlled Diverse Context Features. - Jae Woong Soh; Gu Yong Park; Nam Ik Cho (ISM, 2019)

Adaptively Tuning a Convolutional Neural Network by Gate Process for Image Denoising. - Yoonsik Kim; Jae Woong Soh; Nam Ik Cho (IEEE Access, 2019)

Joint High Dynamic Range Imaging and Super-Resolution From a Single Image. - Jae Woong Soh; Jae Sung Park; Nam Ik Cho (IEEE Access, 2019)

Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network. - Junho Jo; Hyung Il Koo; Jae Woong Soh; Nam Ik Cho (CoRR, 2019)

Generation of high dynamic range illumination from a single image for the enhancement of undesirably illuminated images. - Jae Sung Park; Jae Woong Soh; Nam Ik Cho (Multim. Tools Appl., 2019)

Local Backlight Dimming for Liquid Crystal Displays via Convolutional Neural Network. - Junho Jo; Jae Woong Soh; Jae Sung Park; Nam Ik Cho (APSIPA, 2020)

Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization. - Yoonsik Kim; Jae Woong Soh; Gu Yong Park; Nam Ik Cho (CVPR, 2020)

Meta-Transfer Learning for Zero-Shot Super-Resolution. - Jae Woong Soh; Sunwoo Cho; Nam Ik Cho (CVPR, 2020)

Single Image Super-Resolution with Dynamic Residual Connection. - Karam Park; Jae Woong Soh; Nam Ik Cho (ICPR, 2020)

Deep Universal Blind Image Denoising. - Jae Woong Soh; Nam Ik Cho (ICPR, 2020)

AGARNet: Adaptively Gated JPEG Compression Artifacts Removal Network for a Wide Range Quality Factor. - Yoonsik Kim; Jae Woong Soh; Nam Ik Cho (IEEE Access, 2020)

Lightweight Single Image Super-Resolution With Multi-Scale Spatial Attention Networks. - Jae Woong Soh; Nam Ik Cho (IEEE Access, 2020)

Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Networks. - Junho Jo; Hyung Il Koo; Jae Woong Soh; Nam Ik Cho (Multim. Tools Appl., 2020)

A Pseudo-Blind Convolutional Neural Network for the Reduction of Compression Artifacts. - Yoonsik Kim; Jae Woong Soh; Jaewoo Park; Byeongyong Ahn; Hyun-Seung Lee; Young-Su Moon; Nam Ik Cho (IEEE Trans. Circuits Syst. Video Technol., 2020)

Variational Deep Image Denoising. - Jae Woong Soh; Nam Ik Cho (CoRR, 2021)

Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks. - Jae Woong Soh; Nam Ik Cho (CoRR, 2022)

Variational Deep Image Restoration. - Jae Woong Soh; Nam Ik Cho (IEEE Trans. Image Process., 2022)

Inverse-Based Approach to Explaining and Visualizing Convolutional Neural Networks. - Hyuk Jin Kwon; Hyung Il Koo; Jae Woong Soh; Nam Ik Cho (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution. - Karam Park; Jae Woong Soh; Nam Ik Cho (IEEE Trans. Multim., 2023)

Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution. - Karam Park; Jae Woong Soh; Nam Ik Cho (AAAI, 2025)