Sung-Jea Ko

Sung-Jea Ko

Korea University

H-index: 42

Asia-South Korea

About Sung-Jea Ko

Sung-Jea Ko, With an exceptional h-index of 42 and a recent h-index of 25 (since 2020), a distinguished researcher at Korea University, specializes in the field of Image Processing, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

PD-CR: Patch-based Diffusion Using Constrained Refinement for Image Restoration

Knowledge distillation-based system for learning of teacher model and student model

Apparatus and method for optimizing inverse tone mapping on basis of single image, and recording medium for performing method

Exploring 3D U-Net Training Configurations and Post-processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge

Semantic and Instance-Aware Pixel-Adaptive Convolution for Panoptic Segmentation

3D Reconstruction Based on Multi-Phase CT for Kidney Cancer Surgery

Image generation with self pixel-wise normalization

Multispectral-to-RGB Knowledge Distillation for Remote Sensing Image Scene Classification

Sung-Jea Ko Information

University

Position

Professor of Electrical Engineering

Citations(all)

10122

Citations(since 2020)

3055

Cited By

8311

hIndex(all)

42

hIndex(since 2020)

25

i10Index(all)

169

i10Index(since 2020)

65

Email

University Profile Page

Google Scholar

Sung-Jea Ko Skills & Research Interests

Image Processing

Computer Vision

Top articles of Sung-Jea Ko

PD-CR: Patch-based Diffusion Using Constrained Refinement for Image Restoration

IEEE Signal Processing Letters

2024/3/26

Knowledge distillation-based system for learning of teacher model and student model

2024/4/11

Apparatus and method for optimizing inverse tone mapping on basis of single image, and recording medium for performing method

2023/10/10

Exploring 3D U-Net Training Configurations and Post-processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge

2023/10/8

Semantic and Instance-Aware Pixel-Adaptive Convolution for Panoptic Segmentation

2023/10/8

3D Reconstruction Based on Multi-Phase CT for Kidney Cancer Surgery

2023/6/25

Image generation with self pixel-wise normalization

Applied Intelligence

2023/4

Multispectral-to-RGB Knowledge Distillation for Remote Sensing Image Scene Classification

IEEE Geoscience and Remote Sensing Letters

2023/2/14

Spatially Adaptive Image Deblurring Module Based on Dilated Deformable Convolutions

2023/2/5

Sung-Jin Cho
Sung-Jin Cho

H-Index: 10

Sung-Jea Ko
Sung-Jea Ko

H-Index: 23

A luminance control method for OLED burn-in prevention using user information

2022/1/7

Seung-Jin Baek
Seung-Jin Baek

H-Index: 7

Sung-Jea Ko
Sung-Jea Ko

H-Index: 23

RORD: A Real-world Object Removal Dataset.

2022

Xydeblur: Divide and conquer for single image deblurring

2022

Risk-aware survival time prediction from whole slide pathological images

Scientific reports

2022/12/19

A unified multi-phase CT synthesis and classification framework for kidney cancer diagnosis with incomplete data

IEEE Journal of Biomedical and Health Informatics

2022/11/3

Graph Segmentation-Based Pseudo-Labeling for Semi-Supervised Pathology Image Classification

IEEE Access

2022/9/5

Seung-Won Jung
Seung-Won Jung

H-Index: 16

Sung-Jea Ko
Sung-Jea Ko

H-Index: 23

Blur-robust object detection using feature-level deblurring via self-guided knowledge distillation

IEEE Access

2022/7/29

Conditional convolution projecting latent vectors on condition-specific space

IEEE Transactions on Neural Networks and Learning Systems

2022/5/18

Image processing method and device for projecting image of virtual reality content

2022/2/8

Efficient Pyramid-Structured Networks Using Channel Separating Gate

2021/10/12

Learning-based image synthesis for hazardous object detection in X-ray security applications

IEEE Access

2021/9/29

See List of Professors in Sung-Jea Ko University(Korea University)