YUTO Semantic Dataset
YUTO Semantic Dataset in now available:
YUTO Semantic Dataset in now available:
YUTO MMS available here:
As urban spaces evolve and technology advances, the concept of human-robot interaction becomes not just a science fiction trope but a part of our reality. This transformation is manifesting in various forms, one of them…
Authors: Sunghwan Yoo, Yeongjeong Jeong, Maryam Jameela, Gunho Sohn Department of Earth and Space Science and Engineering, York University Toronto, ON M3J 1P3 Canada CVPR PCV Workshop 2023 Abstract We proposed EyeNet, a novel semantic…
Authors: Maryam Jameela, Gunho Sohn, Sunghwan Yon Department of Earth and Space Science and Engineering, York University Toronto, ON M3J 1P3 Canada The 3DMMAI pipeline includes several stages of post-data acquisition processing, and the significant…
QDrone Benchmark Dataset available here:
Dr. Jungwon Kang, Dr Yujia Zhang and Zhen Liu (2nd Year PhD Student) in the lab published their paper on RPV-SLAM: Range-augmented Panoramic Visual SLAM for Mobile Mapping System with Panoramic Camera and Tilted LiDAR…
Dr. Pio Claudio joined the lab in September 2017 as a Postdoctoral Fellow. Since then, Pio has worked as a lead researcher in 3D augmented urban modelling for the Intelligent Urban Systems for Sustainable Urban…
Our lab member, Dr. Seungho Yang, will start his new career as an Assistant Professor at the Department of Urban Engineering in the Hanbat National University, South Korea, effectively starting on March 1st, 2021. Dr.…
Position Description Area: Deep Learning for Computer Vision Duration: 1 year (PDF) (could be extended to two years) Starting Date: December 31st, 2021 Dr. Gunho Sohn’s Lab (www.yorku.ca/~gsohn) in the Department of Earth and Space…
Ms. Mercedes Boateng joined our lab from September 10th, 2020 as a project coordinator. Mercedes will contribute to our ongoing research projects as the project coordinator, particularly for 3D Mobile Mapping Artificial Intelligence (3DMMAI) project and…
The next natural step of the pipeline for scene understanding and classification is semantic segmentation, which labels every point and pixel in the point cloud and image respectively of their enclosing object or region. There…