Jungyoon Lee
I'm an M.S. student at Soongsil University in South Korea, advised by Prof. Seong-heum Kim. I work on computer vision, with a focus on synthetic data for perception — generating training data with generative models and physics simulation for tasks where real labels are scarce or expensive.
→ Looking for a Ph.D. position starting Fall 2027.
Publications
* Equal contribution
Challenge Reports
Multi-Agent Target-Existence Verification and Learned Mask Geometry Refinement: Winning Report of the MeViS-Text Track at the 8th LSVOS Challenge 2026 1st
8th LSVOS Challenge — Track 2, MeViSv2-Text · arXiv (soon)
Generative Traffic Video Forecasting with Paired Future Descriptions via Parameter-Efficient World Model Adaptation 2nd
Oral · ECCV 2026 AI City Challenge Workshop — Track 5
Awards
IEEE Low-Power Computer Vision Challenge 2026 — Track 3, AI-Generated Image Detection 2nd
Qualcomm-sponsored · CVPR 2026
2026
Autonomous Driving AI Challenge 2025 — Semantic Segmentation 1stTeam lead
제2회 자율주행 인공지능 챌린지
1st of 154 teams · Deputy Prime Minister & Minister of Science and ICT Award
2025
Autonomous Driving AI Challenge 2024 — Vehicle Composite State Recognition 1stTeam lead
제1회 자율주행 인공지능 챌린지
1st of 146 teams · Director's Award, IITP (Korea's national ICT R&D agency)
2024
Software-Oriented University Joint AI Competition 2023 — Building Segmentation from Satellite Imagery 3rd
SW중심대학 공동 AI 경진대회 2023
Chairman's Award, Council of Software-Oriented Universities
2023
Republic of Korea Air Force Creative-Innovation Idea Hackathon 1st
제4회 공군 창의·혁신 아이디어 해커톤
Air Force Chief of Staff Award · during mandatory military service
2022
Education
M.S. in AI Convergence Security
Soongsil University, Seoul, Korea · advised by Prof. Seong-heum Kim
Mar 2025 – Feb 2027 (expected)
B.S. in AI Convergence
Soongsil University, Seoul, Korea
2018 – 2025
Includes 2 years of mandatory military service (Republic of Korea Air Force)