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Rotation Invariant Convolutions for 3D Point Clouds Analysis Effective end-to-end rotation invariant convolutions are designed for 3D point cloud deep learning SOTA performance is achieved on classification, retireval, segmentation, and normal estimation Project Page

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Efficient 3D Point Cloud Convolutional Neural Networks Efficient and effective end-to-end convolutional neural networks for 3D point cloud analysis SOTA performance is achieved on classification and segmentation Project Page

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