Jinah Kim

Jinah Kim

Ph.D. Candidate, Department of Electrical Engineering
Deep Image Processing Lab, Korea University

I am an AI research engineer specializing in computer vision, with a primary focus on low-level vision and image restoration. My current research addresses image degradation challenges, including deblurring, low-light enhancement, and display-induced distortions. My broader research experience also spans video understanding, including temporal action localization and pedestrian attribute recognition.

Portrait of Jinah Kim

Research Interests

Education

Korea University

Aug 2024 – Present

Ph.D. Candidate, Department of Electrical Engineering

Advisor: Prof. Seung-Won Jung · Deep Image Processing Lab

Gachon University

Mar 2018 – Aug 2023

B.S. & M.S., Department of Software

Advisor: Prof. Jungchan Cho · Visual AI Lab

Work Experience

Research Intern, Video Team, NAVER Cloud

Oct 2023 – Jun 2024

Research topic: video shot boundary detection

Research Intern, Visual Intelligence Lab, ETRI

Jan 2022 – Feb 2022

Research topic: pedestrian state understanding in real-world CCTV domains

Programming Intern, Cloudike

Jul 2020 – Aug 2020

Android TV application programming

Publications

International Journals

  1. DnSAD: Defocus and Spatially Adaptive Deblurring for Mura Compensation in Display Panels

    Geon-Ho Park, Juhyun Bae, Jinah Kim, Changeui Hong, Seung-Won Jung

    JSID 2026Journal of the Society for Information Display, vol. 34, no. 3, pp. 99–108, 2026

  2. Underexposed Image Enhancement for Mura Compensation in Display Panels

    Yurim Jang, Geon-Ho Park, Jinah Kim, Changeui Hong, Seung-Won Jung

    JSID 2025Journal of the Society for Information Display, vol. 33, no. 9, pp. 955–963, 2025

  3. Improving Visual Pedestrian Attributes Discernment With Textual Reconstruction

    Yejun Lee, Jinah Kim, Jungchan Cho, Jhonghyun An

    IEEE Access 2024IEEE Access, vol. 12, pp. 164178–164189, 2024

Domestic Publications

  1. Datasets and Research Trends for Local Motion Deblurring

    Jinah Kim, Seung-Won Jung

    IPIU 2026Workshop on Image Processing and Image Understanding (IPIU), 2026

  2. A Study on Limitations of Temporal Video Localization Based on Point-Level Annotation and an Improvement Method Through Point Distribution Modeling

    Jinah Kim, Jungchan Cho

    KINGC 2023The Journal of Korean Institute of Next Generation Computing, 2023

  3. Improvements on Real-World Domain and Person Understanding via Optimal Combination of Training Dataset and Model

    Jinah Kim, Song Gil Jae, Kangmin Bae, Kimin Yun, Yuseok Bae

    KIISE 2022Korean Institute of Information Scientists and Engineers (KIISE), 2022

Projects

Development of Deblurring Framework for Display Panel Repair Compensation

Feb 2025 – Present

Funded by LG Display

Development of Video Understanding Framework Based on Multi-Camera

Sep 2024 – Sep 2025

Funded by SK Telecom

Development of Low-Light Enhancement Framework for Display Panel Mura Compensation

Sep 2024 – Jan 2025

Funded by LG Display

Development of High-Performance Visual Discovery Platform for Real-Time Large-Scale Video Data Understanding and Prediction

Apr 2023 – Aug 2023

Funded by ETRI (Electronics and Telecommunications Research Institute)