SS01: 3D Point Cloud Analysis with Multi-modality Models
Motivation & significance
• 3D point clouds have become increasingly popular as the representation of choice for storing and manipulating 3D data, which also found numerous applications in autonomous driving, robotics, VR/AR etc.
• Its unordered, irregular, large-scale and noisy nature makes it challenging to the processing, analysis and understanding of point cloud data.
Topics of interest
• Point cloud object detection/classification/segmentation
• Point cloud registration/shape retrieval
• Point cloud compression
• Point cloud visual quality assessment
Organizers
Bruce Lu, Senior Lecturer, La Trobe University, Australia, email: brucelu2013@gmail.com
Yulan Guo, Full Professor, Sun Yat-sen University, China, email: guoyulan@sysu.edu.cn
Junhui Hou, Associate Professor, City University of Hong Kong, SAR China, email: jh.hou@cityu.edu.hk
Special Session Webpage
https://sites.google.com/view/visual-computing/special-events/special-sesion/icme-2025