4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CV2019
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…
cs.CV2019★ 4 cited
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation
Chaojing Duan, Siheng Chen, Jelena Kovacevic
We present a neural-network-based architecture for 3D point cloud denoising called neural projection denoising (NPD). In our previous work, we proposed a two-stage denoising algori…
cs.CG2018
Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes
Chaojing Duan, Siheng Chen, Jelena Kovačević
As a collection of 3D points sampled from surfaces of objects, a 3D point cloud is widely used in robotics, autonomous driving and augmented reality. Due to the physical limitation…