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Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
In this work, we propose a novel deep network for point clouds by incorporating positional information of points as inputs while yielding rotation-invariance.
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition
We construct a relational graph with multi-view images as nodes, and design relational graph embedding by modeling pairwise and neighboring relations among views.
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis
Designing a network on 3D surface for non-rigid shape analysis is a challenging task.
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