1. Learning semantic segmentation of large-scale point clouds with random sampling;Hu;IEEE Trans Pattern Anal Mach Intell,2021
2. Revisiting point cloud shape classification with a simple and effective baseline;Goyal,2021
3. Crosspoint: Self-supervised cross-modal contrastive learning for 3d point cloud understanding;Afham,2022
4. Multi-view convolutional neural networks for 3d shape recognition;Su,2015
5. Fpconv: Learning local flattening for point convolution;Lin,2020