Jongmin Gim

About Me

Posted
By Jongmin Gim
2 min read

Hello, I am Jongmin Gim, a contract researcher in Korea Electronics Technology Institute (KETI), in seoul, South Korea. I have worked on effiecnt image · text based style editing(transfer). My research interest revolve around Computer Vision, particularly in Style transfer, Vector-Quantize based Generative Model, and Text-Image Multi-modal Model.

Education

  • 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
    Mar. 2017 – Feb. 2023

Publications

Style-Editor: Text-driven object-centric style editing
Style-Editor: Text-driven object-centric style editing
JiHun Park*, Jongmin Gim*, Kyoungmin Lee*, Seunghun Lee, and Sunghoon Im.
Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025
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콘텐츠 적응형 벡터 양자화 기반 비 학습 스타일 전환 기술
콘텐츠 적응형 벡터 양자화 기반 비 학습 스타일 전환 기술
Jongmin Gim*, JiHun Park*, Kyoungmin Lee*, and Sunghoon Im.
Workshop on Image Processing and Image Understanding (IPIU), Feb 2025
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Content-Adaptive Style Transfer: A Training-Free Approach with VQ Autoencoders
Content-Adaptive Style Transfer: A Training-Free Approach with VQ Autoencoders
Jongmin Gim*, JiHun Park*, Kyoungmin Lee*, and Sunghoon Im.
Asian Conference on Computer Vision (ACCV), Dec 2024
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텍스트 기반의 의미 적응형 스타일 전환 기술
텍스트 기반의 의미 적응형 스타일 전환 기술
JiHun Park*, Jongmin Gim*, Kyoungmin Lee*, Seunghun Lee, and Sunghoon Im.
Workshop on Image Processing and Image Understanding (IPIU), Jan 2024.
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Work Experience

  • Undergraduate Intern
    Kwangwoon University, Korea
    Participation in lab seminars, conferences, and Industry-University projects (IITP).
    Jul. 2021 – Dec. 2022

Awards

  • 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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