3D Point Cloud Foundation Model Project

Professor Kim’s team is advancing AIST’s initiative to develop a Foundation Model for Computer Vision, a transformative AI system designed to address diverse tasks through large-scale pre-training. These models are vital for computer vision, which focuses on enabling machines to interpret visual data like images and 3D point clouds. Professor Kim’s work centers on 3D point clouds, which are critical for applications such as forest management, urban planning, and terrain analysis. I will contribute my extensive expertise in 3D point cloud processing—supported by multiple publications on 3D semantic segmentation and digital twin development—to enhance the team’s ability to develop deep learning models for tasks such as tree species classification, terrain scene recognition, and point cloud semantic segmentation.

This collaboration will deliver valuable benefits to both institutions. For York University, the project will expand expertise in scalable, generalizable AI systems and interdisciplinary research in forestry, geography, and urban planning. For AIST, York University’s specialized skill set will strengthen the team’s capacity to tackle complex challenges in 3D data processing and advance the development of robust foundation models. This partnership will enhance research capabilities, foster innovation, and drive impactful advancements in AI and its applications.

Faculty Supervisor:

Gunho Sohn

Student:

Partner:

National Institute of Advanced Industrial Science and Technology

Discipline:

Computer science

Sector:

Education; Professional, scientific and technical services

University:

York University

Program: