Giyeol Kim
I am currently a Masterโs student in the Perceptual AI Lab at Chung-Ang University, advised by Prof. Chanho Eom. My research focuses on person search, multi-modal retrieval, and diffusion-based generative models. 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 youโre interested in my work or would like to discuss potential collaborations, feel free to reach out.
Publications
- PreprintECOVAD: Efficient Open-world Video Anomaly DetectionIn arXiv, 2025
- PreprintDiCo: Disentangled Concept Representation for Text-to-image Person Re-identificationIn arXiv, 2025
- ICCVLeveraging Prior Knowledge of Diffusion Model for Person SearchIn IEEE/CVF International Conference on Computer Vision (ICCV), 2025๐ Highlight Paper (263/11152 = Top 2.35%)
- ICCVWChest X-ray Feature Pyramid Sum Model with Diseased Area Data Augmentation MethodIn Computer Vision for Automated Diagnosis (CVAMD) Workshop at IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Reviewer Experiences
ECCV (2024), ICCV (2025), NeurIPS (2025)
Patents
10-2025-0133759 Sep. 17, 2025 (Application)
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์ฅ์น
[ENG] Diffusion Model-Based Multi-task Decoupling Method for Improving Person Search Accuracy
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