58 citations · 60 across the 3 of their papers we have counts for
4 papers
GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression
Jiahao Pang, Muhammad Asad Lodhi, Dong Tian
Point cloud compression (PCC) is a key enabler for various 3-D applications, owing to the universality of the point cloud format. Ideally, 3D point clouds endeavor to depict object…
3D Point Cloud Enhancement using Graph-Modelled Multiview Depth Measurements
Xue Zhang, Gene Cheung, Jiahao Pang +1
A 3D point cloud is often synthesized from depth measurements collected by sensors at different viewpoints. The acquired measurements are typically both coarse in precision and cor…
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
Siheng Chen, Chaojing Duan, Yaoqing Yang +3
We propose a deep autoencoder with graph topology inference and filtering to achieve compact representations of unorganized 3D point clouds in an unsupervised manner. Many previous…
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…