Hello, I am Jaeyeul Kim, a Ph.D. student in the Department of Electrical Engineering and Computer Science (EECS) at DGIST in South Korea. I am conducting research on autonomous driving under the supervision of Prof. Sunghoon Im at the DGIST Computer Vision Lab. Specifically, I have worked on LiDAR-based segmentation, detection, tracking, and forecasting. My current research interest is in autonomous vehicle planning.

Education & Research Experience

• Visiting Researcher
  Robotics Institute, Carnegie Mellon University (CMU), Pittsburgh, US.
  Apr 2024 - Oct 2024

• Ph.D. Course in Electrical Engineering and Computer Science
  Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea.
  Aug 2021 - Present

• M.S. in Automotive Engineering
  Seoul National University of Science and Technology (SEOULTECH), South Korea.
  Aug 2018 - Aug 2021

• B.S. in Mechanical and Automotive Engineering
  Seoul National University of Science and Technology (SEOULTECH), South Korea.
  Mar 2012 - Aug 2018

Publications

Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation

Jaeyeul Kim, Jungwan Woo, Ukcheol Shin, Jean Oh, Sunghoon Im
Arxiv, 2024. (Under review)
Winner of the Argoverse 2 LiDAR Scene Flow Challenge at CVPR 2024 WAD
[Paper]

Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains

Jaeyeul Kim*, Jungwan Woo*, Jeonghoon Kim, Sunghoon Im
European Conference on Computer Vision (ECCV), 2024. (Accepted)
[Paper]

Density-aware Domain Generalization for LiDAR Semantic Segmentation

Jaeyeul Kim*, Jungwan Woo*, Ukcheol Shin, Jean Oh, Sunghoon Im
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024. (Accepted)
[Paper]

Automatic Extrinsic Calibration of a Camera and a 2D LiDAR with Point-Line Correspondences

Jaeyeul Kim and Jongeun Ha
IEEE Access, 2023.
[Paper]

Motion Forecasting via Coordinate Transformations and Object Trajectory Modifications

Jungwan Woo*, Jaeyeul Kim*, Sunghoon Im
CVPR Workshop on Autonomous Driving (CVPRw), 2023.
[Technical report] (2nd place in the challenge)

LiDAR 3D Object Detection via Self-Training and Knowledge Distillation

Jungwan Woo*, Jaeyeul Kim*, Sunghoon Im
ECCV Workshop on 3D Perception for Autonomous Driving (ECCVw), 2022.
[Technical report] (3rd place in the challenge)

Weakly Supervised Foreground Object Detection Network Using Background Model Image

Jaeyeul Kim and Jongeun Ha
IEEE Access, 2022.
[Paper]

RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion Features

Jaeyeul Kim*, Jungwan Woo*, Sunghoon Im
IEEE Robotics and Automation Letters (RA-L / IROS), 2022.
[Paper]

Spatio-temporal data augmentation for visual surveillance

Jaeyeul Kim and Jongeun Ha
IEEE Access, 2021.
[Paper]

Generation of Background Model Image Using Foreground Model

Jaeyeul Kim and Jongeun Ha
IEEE Access, 2021.
[Paper]

Extrinsic Calibration of a Camera and a 2D LiDAR using a Dummy Camera with IR Cut Filter Removed

Jaeyeul Kim and Jongeun Ha
IEEE Access, 2020.
[Paper]

Foreground Objects Detection Using a Fully Convolutional Network with a Background Model Image and Multiple Original Images

Jaeyeul Kim and Jongeun Ha
IEEE Access, 2020.
[Paper]

Automatic Extrinsic Calibration of a Camera and Laser Range Finder using Constraints Fusion

Jaeyeul Kim and Jongeun Ha
International Conference on Control, Automation and Systems (ICCAS), 2019.
[Paper]

Extrinsic Calibration of Camera and Laser Range Finder using a Dummy Camera without IR Cut Filter

Jaeyeul Kim and Jongeun Ha
International Conference on Control, Automation and Systems (ICCAS), 2018.
[Paper]

Scholarships & Awards

• Winner, Argoverse LiDAR Scene Flow Challenge at CVPR WAD, 2024.
• DGIST Post-Graduate Research Abroad Award, 2024 (₩15,000,000).
• 1st place, Autonomous Driving A.I challenge (organized by MOLIT 국토교통부), 2023.
• Honorable Mention, Argoverse Forecasting Challenge at CVPR WAD, 2023.
• Best Robot Vision Paper Award, Asian Federation of Computer Vision (AFCV), 2023.
• 2nd place, Autonomous Driving A.I challenge (organized by MOLIT 국토교통부), 2022.
• 3rd place, ECCV Workshop on 3D Perception for Autonomous Driving, 2022.
• DGIST Presidential Fellowship, 2021 (₩24,000,000).
• SEOULTECH Graduate School Admission Scholarship, 2018.
• Bronze Award, SoC Robot War-HURO Competition (organized by KAIST SDIA), 2018.
• Bronze Award, SoC Robot War-HURO Competition (organized by KAIST SDIA), 2017.

Reviewer

• IEEE International Conference on Robotics and Automation (ICRA)
• IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• IEEE Robotics and Automation Letters (RA-L)
• IEEE Sensors Journal
• NeurIPS Track Datasets and Benchmarks
• Scientific Reports
• The Visual Computer
• International Journal of Intelligent Robotics and Applications

Skills

• Python, Pytorch, MATLAB, C++

Other Experience

• Republic of Korea Air Force, 2012-2014.