M.S. Student @ Sejong Univ. RCV Lab
Researcher at Robotics & Computer Vision Lab (RCV)
- Multimodal Large Language Models (MLLM)
- Vision-language modeling, Multimodal reasoning, Agentic RAG
- Video Understanding
- Temporal modeling, Text-video retrieval, Long-form reasoning
- Efficient Multimodal Learning
- Mixture-of-Experts (MoE), Parameter-efficient fine-tuning (PEFT), Inference optimization
- Computer Vision
- Open-vocabulary scene graph generation (OVSGG), Visual-semantic representation
- M.S. in AI Robotics, Sejong University | 2025.09 – Present
- B.S. in AI Robotics, Sejong University | 2018.03 – 2025.08
- Researcher, Sejong RCV Lab, Sejong University | 2023.07 – Present
- TAME: Temporal-Aware Mixture-of-Experts for Text-Video Retrieval IEEE Access, Jan. 2026 | Ui-Cheol Jung, Juyoung Hong, Yukyung Choi | 📄 Paper | 💻 Code
- Visual-Semantic Hierarchical Learning for OVSGG Under Review | Geuntaek Lim, Juyoung Hong, Ui-Cheol Jung, Yukyung Choi
- Self-supervised Learning for Multispectral Pedestrian Detection ICROS Journal, May 2025 | Jae-Yeon Heo, Ui-Cheol Jung, Yujin Hwang, Yukyung Choi
Multimodal RAG Internship Program | Technical Lead
- Role: Program planning, recruitment, and system pipeline design.
- Developed System: AutoFolio
- Automated developer portfolio system leveraging GitHub activity logs.
- Designed to track participant progress and generate portfolio artifacts automatically.
- Tech Stack:
LangGraph,Vision-Language Models (MLLMs),FastAPI,VectorDB
- Related Area: Retrieval-Augmented Generation (RAG), Multimodal Large Language Models (MLLM)
- Role: Researcher | Cross-modal (Text/Image/Video) retrieval and indexing
- Patent | Method and apparatus for OVSGG based on Deep Learning (KR 10-2025-0048046)
Grand Prize, Sejong AI Challenge 2025S