73 citations · 89 across the 7 of their papers we have counts for
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cs.CV2020★ 8 cited
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations
Jiahao Pang, Duanshun Li, Dong Tian
Topology matters. Despite the recent success of point cloud processing with geometric deep learning, it remains arduous to capture the complex topologies of point cloud data with a…
cs.CV2019★ 73 cited
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.CV2018★ 5 cited
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation
Duanshun Li, Chen Feng
To identify and fit geometric primitives (e.g., planes, spheres, cylinders, cones) in a noisy point cloud is a challenging yet beneficial task for fields such as robotics and rever…