几何深度学习前沿

[11]

[12]Volumetric and Multi-View CNNs for Object Classification on 3D Data：http://suo.im/53szCy

[13]PointNet：https://arxiv.org/pdf/1612.00593.pdf

[14]PointNet++：https://arxiv.org/pdf/1706.02413.pdf

[15]Frustum PointNets：Frustum PointNets for 3D Object Detection from RGB-D Data：https://arxiv.org/pdf/1711.08488.pdf

[16]Neighbors help：Neighbors Do Help: Deeply Exploiting Local Structures of Point Clouds：https://arxiv.org/pdf/1712.06760v1.pdf

[17]PU-Net：Point Cloud Upsampling Network：https://arxiv.org/pdf/1801.06761.pdf

[18]Recurrent Slice Networks：Recurrent Slice Networks for 3D Segmentation on Point Clouds：https://arxiv.org/pdf/1802.04402.pdf

[19]SPLATNet：SPLATNet: Sparse Lattice Networks for Point Cloud Processing：https://export.arxiv.org/pdf/1802.08275

[20]GCN：Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering：https://arxiv.org/pdf/1606.09375.pdf

[21]Semi-supervised GCN： Semi-Supervised Classification with Graph Convolutional Networks：http://arxiv.org/abs/1609.02907、

[22]Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks：https://arxiv.org/pdf/1704.06803.pdf

[23]GAT：Graph Attention Networks：https://openreview.net/pdf?id=rJXMpikCZ

[24]Learning Deep Generative Models of Graphs： https://arxiv.org/pdf/1803.03324.pdf

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