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Deep unsupervised learning of 3D point clouds via graph topology inference and filtering
An assistive low-vision platform that augments spatial cognition through proprioceptive guidance: Point-to-Tell-and-Touch
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
VLASE: Vehicle Localization by Aggregating Semantic Edges
Simultaneous Edge Alignment and Learning
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
FoldingNet: Point cloud auto-encoder via deep grid deformation
CASENet: Deep Category-Aware Semantic Edge Detection
Fast plane extraction in organized point clouds using agglomerative hierarchical clustering
Point-plane SLAM for hand-held 3D sensors