YeonJeong Jeong is a Postdoctoral Fellow. He joined Dr. Gunho Sohn’s research team in Nov 2021. His research focuses on computer vision and deep learning, including object detection in the 3D point cloud and 2D images.
Projects:
Dr. Jeong is a part of the 3D Mobile Mapping Artificial Intelligence (3DMMAI) project, which is supported by the NSERC (Natural Sciences and Engineering Research Council of Canada) Collaborative Research Development (CRD) program and Teledyne Optech in Toronto.
Education:
Doctor of Philosophy (Ph.D.), Seoul National University, South Korea
Bachelor of Science (BS), Urban Engineering, Seoul National University, South Korea
2005 – 2010
1995-2003
Experience:
Research:
Postdoctoral Researcher, GeoICT/ AUSMLab, York University Canada
LG AI Research / Professional, Canada
LG CNS / Professional, Seoul, South Korea
Korea Expressway Corporation Research Institute / Postdoctoral Researcher
Nov, 2021 – Present
Nov, 2019- Oct, 2021
Jan, 2012- Oct, 2019
Aug, 2010 – Nov, 2011
Publications (5)
2025
- Yoo, S., Jeong, Y., Sheikholeslami, M. M., and Sohn, G. (2025). EyeNet++: A Multiscale and Multidensity Approach for Outdoor 3-D Semantic Segmentation Inspired by the Human Visual Field. IEEE Transactions on Geoscience and Remote Sensing, 63, 1-19.
- Jeong, Y. J., Suthakar, V., Qashoa, R., Sohn, G., and Lee, R. S. K. (2025). OrbitTrack: Advanced RSO Detection and Tracking from Wide Field-of-view On-orbit Images. Advances in Space Research.
2024
- Jeong, Y., Qashoa, R., Lee, R. S. K., and Sohn, G. (2024). OrbitNet: Advanced 2D Keypoint-Based Detection and Tracking of LEO Resident Space Objects Using Deep Convolutional Neural Network. 45th COSPAR Scientific Assembly.
2023
- Yoo, S., Jeong, Y., Jameela, M., and Sohn, G. (2023). Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scenes. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 6577-6586.
- Ko, C., Jeong, Y., Lee, H., and Sohn, G. (2023). YUTO Tree5000: A Large-Scale Airborne LiDAR Dataset for Single Tree Detection. Pattern Recognition, Computer Vision, and Image Processing (ICPR 2022 Workshops), 371-385.