5 papers · 1 filter
Paving the Way for Point Cloud Video Representation Learning Using A PDE Model
Zhuoxu Huang, Zhenkun Fan, Jungong Han +1
Investigating spatial-temporal correlations, specifically how spatial points vary over time, is crucial for understanding point cloud videos. Traditional methods, particularly flow…
Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understanding
Chang Liu, Henghui Ding, Nikhila Ravi +40
This report summarizes the objectives, datasets, and top-performing methodologies of the 2026 Pixel-level Video Understanding in the Wild (PVUW) Challenge, hosted at CVPR 2026, whi…
Reinforcing 3D Understanding in Point-VLMs via Geometric Reward Credit Assignment
Jingkun Chen, Ruoshi Xu, Mingqi Gao +2
Point-Vision-Language Models promise to empower embodied agents with executable spatial reasoning, yet they frequently succumb to geometric hallucination where predicted 3D structu…
Point Linguist Model: Segment Any Object via Bridged Large 3D-Language Model
Zhuoxu Huang, Mingqi Gao, Jungong Han
3D object segmentation with Large Language Models (LLMs) has become a prevailing paradigm due to its broad semantics, task flexibility, and strong generalization. However, this par…
On Exploring PDE Modeling for Point Cloud Video Representation Learning
Zhuoxu Huang, Zhenkun Fan, Tao Xu +1
Point cloud video representation learning is challenging due to complex structures and unordered spatial arrangement. Traditional methods struggle with frame-to-frame correlations…