Jongmin Gim

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.



🗞️ 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

  • [Oct 2024] One paper accepted to ACCV 2024. (Paper)
  • [Feb 2024] Our team received the Encouragement Prize from the 30th Samsung HumanTech Paper Award. (Link)

Education

  • Ph.D. in Interdisciplinary Studies of Artificial Intelligence (ISAI)
    DGIST, Daegu, Korea Advisor: Prof. Sunghoon Im
    Aug. 2025 – Present

  • M.S. in Interdisciplinary Studies of Artificial Intelligence (ISAI)
    DGIST, Daegu, Korea Advisor: Prof. Sunghoon Im
    Feb. 2023 – Feb. 2025

  • B.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. 2025

  • Undergraduate 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. 2025

  • CCTV 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. 2024

  • Video 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. 2023

  • Development 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. 2022

  • Dog 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

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