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Deep learning systems extensively use convolution operations to process input data.
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O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
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Point Convolutional Neural Networks by Extension Operators
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A formal proof of the Keppler conjecture
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PCPNet: Learning Local Shape Properties from Raw Point Clouds
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SPLATNet: Sparse Lattice Networks for Point Cloud Processing
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Dynamic Graph CNN for Learning on Point Clouds
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SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu, Tianqi Fan, Mingye Xu, Long Zeng, and Yu Qiao. 2018 · 2018
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