Yewon Song is a M.S. student at the IRCV lab with interest in various computer vision tasks.

Education

• 2025. 3. – Current M.S. in Automotive Engineering, Hanyang University
• 2020. 3. – 2025. 2. B.S. in Electrical and Electronic Engineering, Konkuk University

Awards

• Grand Prize, 2023 International Collegiate EV Autonomous Driving Contest (Ministry of Transportation Research Director’s Award)
• 3rd Prize, 2023 KSAE Smart E-mobility Competetion
• 3rd Prize, 2022 International Collegiate EV Autonomous Driving Contest
• 1st Prize, 2022 Konkuk Univ AI Worker Hackathon

Experiences

• 2024. 3. – 2024. 7. AI Research Intern at SkyAutoNet (Autonomous Driving Platform Team)
• 2023. 6. – 2023.12. AI Research Intern at DCVL

Publications at IRCV

• Seeing the Unseen: Geometry-Aware Test-Time Adaptation for LiDAR Segmentation
  Yewon Song^*, Soonmin Hwang^†
  International Conference on AI in Information and Communication (ICAIIC) (2026),
• Occlusion-Aware Pseudo Label Generation for LiDAR Semantic Segmentation via Z-Buffer-Guided 2D-to-3D Label Transfer
  Sumin Lee^*, Yewon Song, and Soonmin Hwang^†
  한국자동차공학회 추계학술대회 및 전시회 (2025),
• Understanding Cross-Domain Robustness in LiDAR Semantic Segmentation
  Yewon Song^*, Sumin Lee, and Soonmin Hwang^†
  International Conference on ICT Convergence (ICTC) (2025),

Patents

• Method and Apparatus for Test-Time Adaptation of a LiDAR-Based Semantic Segmentation Model
  라이다 기반 의미론적 분할 모델의 테스트 시간 적응 방법 및 장치
  KR 10-2026-0107500 (Filed, 2026-06)