Giyeol Kim

giyeol.jpg

I am currently a Ph.D. student in the Perceptual AI Lab at Chung-Ang University, advised by Prof. Chanho Eom. My research focuses on agentic AI, multi-modal large language models, and surveillance systems. I am broadly interested in building learning systems that can understand complex relationships across heterogeneous modalities, and in developing scalable methods for robust representation learning. If you’re interested in my work or would like to discuss potential collaborations, feel free to reach out.

Publications

  1. Preprint
    CORE-VAD: Context-aware Real-world Video Anomaly Detection
    Juhyun Park*, Giyeol Kim*, and Chanho Eom†
    Under Review, 2026
  2. Preprint
    TF-PRVR: Training-Free Partially Relevant Video Retrieval for Real-World Generalization
    Giyeol Kim and Chanho Eom†
    Under Review, 2026
  3. Journal
    DiCo: Disentangled Concept Representation for Text-to-image Person Re-identification
    Giyeol Kim and Chanho Eom†
    In NeuroComputing, 2025
    arXiv Paper
  4. Conference
    Leveraging Prior Knowledge of Diffusion Model for Person Search
    Giyeol Kim*, Sooyoung Yang*, Jihyong Oh, Myungjoo Kang, and Chanho Eom†
    In IEEE/CVF International Conference on Computer Vision (ICCV), 2025
    🏆 Highlight Paper (263/11152 = Top 2.35%)
    arXiv Paper Project page

Education

Ph.D. Student
Mar. 2026 – Present
Graduate School of Advanced Imaging Science, Multimedia & Films (GSAIM)
Chung-Ang University · Seoul, Korea
Perceptual AI Lab · Advised by Prof. Chanho Eom
M.S.
Mar. 2024 – Feb. 2026
Graduate School of Advanced Imaging Science, Multimedia & Films (GSAIM)
Chung-Ang University · Seoul, Korea
Perceptual AI Lab · Advised by Prof. Chanho Eom

Experience

Membership AI
Jul. 2023 – Nov. 2023
Smilegate · Seongnam, Korea
Topic: Personalized text-to-speech with emotions
AI Fellowship
May 2023 – Nov. 2023
SK Telecom · Seoul, Korea
Topic: Computer vision for automated medical diagnosis · 🏆 Best Award (3M KRW)
Research Intern
Jul. 2023 – Aug. 2023
Electronics and Telecommunications Research Institute (ETRI) · Daejeon, Korea
Topic: Self-supervised learning in computer vision
Research Intern
Jan. 2023 – Feb. 2023
Irvine Tech Hub · Irvine, CA, USA
Topic: Personal profile identification with facial manipulations

Reviewer Activities

Conference Reviewer
  • Advances in Neural Information Processing Systems (NeurIPS), 2025, 2026
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, 2026
  • IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  • European Conference on Computer Vision (ECCV), 2024, 2026
  • Annual Meeting of the Association for Computational Linguistics (ACL), 2026
Journal Reviewer
  • IEEE Transactions on Image Processing (TIP), 2024
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025

Patents

10-2025-0133759 Sep. 17, 2025 (Application)
[KOR] 확산 모델을 이용한 객체를 검색하는 방법 및 이를 실행하기 위한 컴퓨팅 장치
[ENG] Diffusion Model-Based Multi-task Decoupling Method for Improving Person Search Accuracy
엄찬호, 김기열, 오지형, 양수영, 강명주
중앙대학교 산학협력단