Evaluating Parameterization Methods for Convolutional Neural Network (CNN)-Based Image Operators. - Seung-Wook Kim 002; Sung-Jin Cho 002; Kwang-Hyun Uhm; Seo-Won Ji; Sang-Won Lee; Sung-Jea Ko (CVPR Workshops, 2019)

Learning an Object Detector Using Zoomed Object Regions. - Sung-Jin Cho 002; Seung-Wook Kim 002; Kwang-Hyun Uhm; Hyong-Keun Kook; Sung-Jea Ko (ICEIC, 2019)

AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. - Andrey Ignatov; Juncheng Li 003; Jiajie Zhang; Haoyu Wu; Jie Li 098; Rui Huang 001; Muhammad Haris 002; Greg Shakhnarovich; Norimichi Ukita; Yuzhi Zhao; Lai-Man Po; Radu Timofte; et al. (ICCV Workshops, 2019)

W-Net: Two-Stage U-Net With Misaligned Data for Raw-to-RGB Mapping. - Kwang-Hyun Uhm; Seung-Wook Kim 002; Seo-Won Ji; Sung-Jin Cho 002; Jun-Pyo Hong; Sung-Jea Ko (ICCV Workshops, 2019)

Parallel Feature Pyramid Network for Image Denoising. - Sung-Jin Cho 002; Kwang-Hyun Uhm; Seung-Wook Kim 002; Seo-Won Ji; Sung-Jea Ko (ICCE, 2020)

Rethinking Coarse-to-Fine Approach in Single Image Deblurring. - Sung-Jin Cho 002; Seo-Won Ji; Jun-Pyo Hong; Seung-Won Jung; Sung-Jea Ko (ICCV, 2021)

Compression Artifacts Reduction Using Fusion of Multiple Restoration Networks. - Sung-Jin Cho 002; Jae Ryun Chung; Seung-Wook Kim 002; Seung-Won Jung; Sung-Jea Ko (IEEE Access, 2021)

Learning-Based Image Synthesis for Hazardous Object Detection in X-Ray Security Applications. - Hyo-Young Kim; Sung-Jin Cho 002; Seung-Jin Baek; Seung-Won Jung; Sung-Jea Ko (IEEE Access, 2021)

Blur-Robust Object Detection Using Feature-Level Deblurring via Self-Guided Knowledge Distillation. - Sung-Jin Cho 002; Seung-Wook Kim 002; Seung-Won Jung; Sung-Jea Ko (IEEE Access, 2022)

Spatially Adaptive Image Deblurring Module Based on Dilated Deformable Convolutions. - Hea-Bin Yang; Sung-Jin Cho 002; Sung-Jea Ko (ICEIC, 2023)