A real-time second-order derivative-based image interpolation. - Kwang-Hyun Uhm; Seung-Jun Lee; Mun-Cheon Kang; Sung-Ho Chae; Sung-Jea Ko (ICCE, 2016)

An edge-guided image interpolation method using Taylor series approximation. - Seung-Jun Lee; Mun-Cheon Kang; Kwang-Hyun Uhm; Sung-Jea Ko (IEEE Trans. Consumer Electron., 2016)

A Robust Extrinsic Calibration Method for Non-Contact Gaze Tracking in the 3-D Space. - Mun-Cheon Kang; Cheol-Hwan Yoo; Kwang-Hyun Uhm; Dae-Hong Lee; Sung-Jea Ko (IEEE Access, 2018)

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)

Improving the robustness of gaze tracking under unconstrained illumination conditions. - Kwang-Hyun Uhm; Mun-Cheon Kang; Joon-Yeon Kim; Sung-Jea Ko (Multim. Tools Appl., 2020)

Image Compression-Aware Deep Camera ISP Network. - Kwang-Hyun Uhm; Kyuyeon Choi; Seung-Won Jung; Sung-Jea Ko (IEEE Access, 2021)

Graph Segmentation-Based Pseudo-Labeling for Semi-Supervised Pathology Image Classification. - Hong-Kyu Shin; Kwang-Hyun Uhm; Kyuyeon Choi; Zhixin Xu; Seung-Won Jung; Sung-Jea Ko (IEEE Access, 2022)

A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis With Incomplete Data. - Kwang-Hyun Uhm; Seung-Won Jung; Moon Hyung Choi; Sung-Hoo Hong; Sung-Jea Ko (IEEE J. Biomed. Health Informatics, 2022)

Exploring 3D U-Net Training Configurations and Post-processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge. - Kwang-Hyun Uhm; Hyunjun Cho; Zhixin Xu; Seohoon Lim; Seung-Won Jung; Sung-Hoo Hong; Sung-Jea Ko (KiTS@MICCAI, 2023)

Multispectral-to-RGB Knowledge Distillation for Remote Sensing Image Scene Classification. - Hong-Kyu Shin; Kwang-Hyun Uhm; Seung-Won Jung; Sung-Jea Ko (IEEE Geosci. Remote. Sens. Lett., 2023)

Lesion-aware cross-phase attention network for renal tumor subtype classification on multi-phase CT scans. - Kwang-Hyun Uhm; Seung-Won Jung; Sung-Hoo Hong; Sung-Jea Ko (Comput. Biol. Medicine, 2024)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; Jonathan R. Krebs; Vishal Balaji Sivaraman; Teng Zhang; Amarjeet Kumar; Walker R. Ueland; Michael J. Fassler; Jinlong Huang; Xiao Sun; Lisheng Wang; Pengcheng Shi; Maximilian Rokuss; et al. (CoRR, 2025)