Kwang-Hyun Uhm

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Incomplete Data

Image Interpolation

Scene Classification

Top Venues

Publications

Kwang-Hyun Uhm, Seung-Won Jung, Sung-Hoo Hong, Sung-Jea Ko
Lesion-aware cross-phase attention network for renal tumor subtype classification on multi-phase CT scans. Comput. Biol. Medicine 178 (2024)
Kwang-Hyun Uhm, Seung-Won Jung, Sung-Hoo Hong, Sung-Jea Ko
Lesion-Aware Cross-Phase Attention Network for Renal Tumor Subtype Classification on Multi-Phase CT Scans. CoRR (2024)
Kwang-Hyun Uhm, Hyunjun Cho, Zhixin Xu, Seohoon Lim, Seung-Won Jung, Sung-Hoo Hong, Sung-Jea Ko
Exploring 3D U-Net Training Configurations and Post-Processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge. CoRR (2023)
Hong-Kyu Shin, Kwang-Hyun Uhm, Seung-Won Jung, Sung-Jea Ko
Multispectral-to-RGB Knowledge Distillation for Remote Sensing Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Sung-Hoo Hong, Sung-Jea Ko
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data. CoRR (2023)
Kwang-Hyun Uhm, Hyunjun Cho, Zhixin Xu, Seohoon Lim, Seung-Won Jung, Sung-Hoo Hong, Sung-Jea Ko
Exploring 3D U-Net Training Configurations and Post-processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge. KiTS@MICCAI (2023)
Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Sung-Hoo Hong, Sung-Jea Ko
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis With Incomplete Data. IEEE J. Biomed. Health Informatics 26 (12) (2022)
Hong-Kyu Shin, Kwang-Hyun Uhm, Kyuyeon Choi, Zhixin Xu, Seung-Won Jung, Sung-Jea Ko
Graph Segmentation-Based Pseudo-Labeling for Semi-Supervised Pathology Image Classification. IEEE Access 10 (2022)
Kwang-Hyun Uhm, Kyuyeon Choi, Seung-Won Jung, Sung-Jea Ko
Image Compression-Aware Deep Camera ISP Network. IEEE Access 9 (2021)
Sung-Jin Cho, Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jea Ko
Parallel Feature Pyramid Network for Image Denoising. ICCE (2020)
Kwang-Hyun Uhm, Mun-Cheon Kang, Joon-Yeon Kim, Sung-Jea Ko
Improving the robustness of gaze tracking under unconstrained illumination conditions. Multim. Tools Appl. 79 (29-30) (2020)
Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. ICCV Workshops (2019)
Seung-Wook Kim, Sung-Jin Cho, Kwang-Hyun Uhm, Seo-Won Ji, Sang-Won Lee, Sung-Jea Ko
Evaluating Parameterization Methods for Convolutional Neural Network (CNN)-Based Image Operators. CVPR Workshops (2019)
Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko
W-Net: Two-Stage U-Net With Misaligned Data for Raw-to-RGB Mapping. ICCV Workshops (2019)
Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping. CoRR (2019)
Sung-Jin Cho, Seung-Wook Kim, Kwang-Hyun Uhm, Hyong-Keun Kook, Sung-Jea Ko
Learning an Object Detector Using Zoomed Object Regions. ICEIC (2019)
Mun-Cheon Kang, Cheol-Hwan Yoo, Kwang-Hyun Uhm, Dae-Hong Lee, Sung-Jea Ko
A Robust Extrinsic Calibration Method for Non-Contact Gaze Tracking in the 3-D Space. IEEE Access 6 (2018)
Kwang-Hyun Uhm, Seung-Jun Lee, Mun-Cheon Kang, Sung-Ho Chae, Sung-Jea Ko
A real-time second-order derivative-based image interpolation. ICCE (2016)
Seung-Jun Lee, Mun-Cheon Kang, Kwang-Hyun Uhm, Sung-Jea Ko
An edge-guided image interpolation method using Taylor series approximation. IEEE Trans. Consumer Electron. 62 (2) (2016)