Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scenes
Authors: Sunghwan Yoo, Yeongjeong Jeong, Maryam Jameela, Gunho Sohn Department of Earth and Space Science and Engineering, York University Toronto,Continue Reading
Authors: Sunghwan Yoo, Yeongjeong Jeong, Maryam Jameela, Gunho Sohn Department of Earth and Space Science and Engineering, York University Toronto,Continue Reading
Authors: Maryam Jameela, Gunho Sohn, Sunghwan Yon Department of Earth and Space Science and Engineering, York University Toronto, ON M3JContinue Reading
Dr. Jungwon Kang, Dr Yujia Zhang and Zhen Liu (2nd Year PhD Student) in the lab published their paper onContinue Reading
Position Description Area: Deep Learning for Computer Vision Duration: 1 year (PDF) (could be extended to two years) Starting Date:Continue Reading
Ms. Mercedes Boateng joined our lab from September 10th, 2020 as a project coordinator. Mercedes will contribute to our ongoingContinue Reading
The next natural step of the pipeline for scene understanding and classification is semantic segmentation, which labels every point andContinue Reading
The 3DMMAI pipeline includes several stages of post data acquisition processing, and the first significant step is noise filtering. LiDARContinue Reading
3D Mobile Mapping AI (3DMMAI) Project 3D Mobile Mapping AI Project is a collaborative large-scale research program supported by TeledyneContinue Reading
A second-year Ph.D. student, Maryam Jameela, was recently invited by the Marine Technology Society to present her research in partnership with TeledyneContinue Reading
Session Chairs: Dr. Connie Ko, and Dr. Gunho Sohn, York University, Department of Earth and Space and Engineering, Lassonde School ofContinue Reading









