189 citations · 434 across the 14 of their papers we have counts for
4 papers · 1 filter
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Yaoqing Yang, Chen Feng, Yiru Shen +1
Recent deep networks that directly handle points in a point set, e.g., PointNet, have been state-of-the-art for supervised learning tasks on point clouds such as classification and…
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
Yiru Shen, Chen Feng, Yaoqing Yang +1
Unlike on images, semantic learning on 3D point clouds using a deep network is challenging due to the naturally unordered data structure. Among existing works, PointNet has achieve…
Fast Resampling of 3D Point Clouds via Graphs
Siheng Chen, Dong Tian, Chen Feng +2
To reduce cost in storing, processing and visualizing a large-scale point cloud, we consider a randomized resampling strategy to select a representative subset of points while pres…
Guided Signal Reconstruction Theory
Andrew Knyazev, Akshay Gadde, Hassan Mansour +1
An axiomatic approach to signal reconstruction is formulated, involving a sample consistent set and a guiding set, describing desired reconstructions. New frame-less reconstruction…