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
Tag: 3DMMAI
3DMMAI: Utility Semantic Segmentation Network
Authors: Maryam Jameela, Gunho Sohn, Sunghwan Yon Department of Earth and Space Science and Engineering, York University Toronto, ON M3JContinue Reading
3DMMAI: Semantic Segmentation
The next natural step of the pipeline for scene understanding and classification is semantic segmentation, which labels every point andContinue Reading
3DMMAI: Noise Filtering
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 Project
3D Mobile Mapping AI (3DMMAI) Project 3D Mobile Mapping AI Project is a collaborative large-scale research program supported by TeledyneContinue Reading
Lassonde Geomatics Engineering PhD Student presents AI research at Marine Technology Society Webinar
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
Dr. Connie Ko’s Special Session of AI in CSRS
Session Chairs: Dr. Connie Ko, and Dr. Gunho Sohn, York University, Department of Earth and Space and Engineering, Lassonde School ofContinue Reading
NSERC CRD Project with Teledyne Optech Featured in YFile
Two York University professors receive large NSERC grants for research and development January 12, 2020 Two York University professors haveContinue Reading
York University – Teledyne Optech Postdoctoral Fellowship and Ph.D. Studentship in Computer Vision, Machine Learning and SLAM
Position Description Area: Deep Learning and SLAM Duration: 2 years (PDF); 4 years (Ph.D.) Starting Date: Anytime (PDF); September 1st,Continue Reading