4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024
PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis
Qiang Zheng, Yafei Qi, Chen Wang +2
In the domain of point cloud analysis, despite the significant capabilities of Graph Neural Networks (GNNs) in managing complex 3D datasets, existing approaches encounter challenge…
math.OC2023
A Macro-Micro Approach to Reconstructing Vehicle Trajectories on Multi-Lane Freeways with Lane Changing
Xuejian Chen, Guoyang Qin, Toru Seo +2
Vehicle trajectories can offer the most precise and detailed depiction of traffic flow and serve as a critical component in traffic management and control applications. Various tec…
cs.CV2020★ 4 cited
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
Ruixuan Yu, Xin Wei, Federico Tombari +1
In this paper we propose a rotation-invariant deep network for point clouds analysis. Point-based deep networks are commonly designed to recognize roughly aligned 3D shapes based o…