About Me
Hello, I am Jongmin Gim, a Ph.D student in Interdisciplinary Studies of Artificial Intelligence, at DGIST, South Korea. I have worked on effiecnt image · text based style editing(transfer). My research interest revolve around Computer Vision, particularly in Style transfer, Text-Image Multi-modal Model, and Vector-Quantize based Generative Model.
Links
🗞️ News
2026
- [Jan 2026] Our team received the Encouragement Prize from the 32nd Samsung HumanTech Paper Award.
2025
- [Nov 2025] An AI Art Exhibition Showcasing Our Team's Research at the DGIST Gallery. (Link) (Curation)
- [Nov 2025] One paper accepted to AAAI 2026 Oral. (Paper) (Project Page)
- [Mar 2025] Started a Computer Vision researcher at Korea Electronics Technology Institute (KETI).
- [Feb 2025] One paper accepted to CVPR 2025 highlight. (Paper) (Project Page)
2024
Education
Ph.D. in Interdisciplinary Studies of Artificial Intelligence (ISAI)
DGIST, Daegu, Korea Advisor: Prof. Sunghoon Im
Aug. 2025 – PresentM.S. in Interdisciplinary Studies of Artificial Intelligence (ISAI)
DGIST, Daegu, Korea Advisor: Prof. Sunghoon Im
Feb. 2023 – Feb. 2025B.S. in Data Science Major, School of Information Convergence
Kwangwoon University, Seoul, Korea
Major GPA: 4.03/4.5 Mar. 2017 – Feb. 2023
Publications
Work Experience
Computer Vision Researcher
Korea Electronics Technology Institute (KETI), Korea
Text-Video retrieval, Open-vocabluary Object Detection.
Mar. 2025 – Jul. 2025Undergraduate Intern
Kwangwoon University, Korea
Participation in lab seminars, conferences, and Industry-University projects (IITP).
Jul. 2021 – Dec. 2022
Awards
Encouragement Prize, 32nd HumanTech Paper Awards, Samsung Electronics Co., Ltd., Jan. 2026
Encouragement Prize, 30th HumanTech Paper Awards, Samsung Electronics Co., Ltd., Jan. 2024
Excellence Prize, 6th SW Industry-University-Linked Project, Kwangwoon University “Dog face landmark detection”, May. 2022
Academic Scholarship, Spring & Fall Semester, 2021; Spring Semester, 2022
Projects
Multi prompt-based image generation
NIPA, Innovation Hub AI Data Convergence Project
Hyperparameter comparison for text-to-image diffusion models with fast sampling. Improving the performance of image editing models via query injection.
Jul. 2024 – Feb. 2025CCTV Event Detection
ETRI Daegu-Gyeongbuk Research Division
Development and performance comparative analysis of CCTV event detection module based on deep learning and foundation models. Development of an event detection module using object tracking model and data processing.
Sep. 2023 – Feb. 2024Video Tagging and Video Retrieval
10kM, Industry-University-Linked Project
Video tagging with scene graph generation model, video captioning with prompt engineering, and development of a word-based video retrieval method.
Mar. 2023 – Aug. 2023Development and Commercialization of AI-based Self-training and Monitoring Solutions for Patients with Parkinsonism
IITP, ICT R&D Innovation Voucher Project
Facial rehabilitation technology research, facial expression classification modeling, indexation, and analysis using facial landmark points.
Apr. 2022 – Dec. 2022Dog face landmark detection
Kwangwoon University, 6th SW Industry-University-Linked Project
Construction of a facial landmark detection model and its implementation in an application.
Jul. 2021 – May. 2022
Skills
- Language: Python, HTML/CSS/JS (Front-End), Android
- Development: PyTorch
- Data Analysis: NumPy, Pandas, scikit-learn, process-mining
- Design: Figma, Adobe XD




