Research Interests

• Driving Scene Understanding & Perception
• Lidar Object Segmentation
• Monocular 3D Object Detection
• Autonomous Driving

Education

• M.S.–Ph.D. Integrated Course in Electrical Engineering and Computer Science, DGIST, Mar 2019 – present.

Publication

• Jaeyeul Kim*, Jungwan Woo*, Jeonghoon Kim, Sunghoon Im. “Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains”, European Conference on Computer Vision (ECCV), 2024. (Accepted)
• Jaeyeul Kim*, Jungwan Woo*, Ukcheol Shin, Jean Oh, Sunghoon Im. “Density-aware Domain Generalization for LiDAR Semantic Segmentation”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024. (Accepted)
• Jungwan Woo*, Jaeyeul Kim*, Sunghoon Im. “Motion Forecasting via Coordinate Transformations and Object Trajectory Modifications”, CVPR workshop on Autonomous Driving (CVPRw), 2023. (2nd place in the challenge)
• Jungwan Woo*, Jaeyeul Kim*, Sunghoon Im. “LiDAR 3D Object Detection via Self-Training and Knowledge Distillation”, ECCV workshop on 3D Perception for Autonomous Driving (ECCVw), 2022. (3rd place in the challenge)
• Jaeyeul Kim*, Jungwan Woo*, Sunghoon Im. “RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion Features”, IEEE Robotics and Automation Letters (RAL/IROS), 2022.

Scholarships & Awards

• Winner, Argoverse LiDAR Scene Flow Challenge at CVPR workshops on Autonomous Driving, 2024. [certificate]
• 1st place on the Autonomous Driving A.I challenge, organized by MOLIT (국토교통부), 2023. [certificate]
• Honorable Mention, End-to-End Forecasting Challenge at CVPR workshops on Autonomous Driving, 2023. [certificate]
• Asian Federation of Computer Vision (AFCV) Best Robot Vision Paper Award, KRoC 2023. [certificate]
• 2nd place on the Autonomous Driving A.I challenge, organized by MOLIT (국토교통부), 2022. [certificate]
• 3rd place on the ECCV workshop on 3D Perception for Autonomous Driving, 2022. [certificate]