1. 3d shapenets: A deep representation for volumetric shapes;wu;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2015
2. Pointconv: Deep convolutional networks on 3D point clouds;wu;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2019
3. Multi-view convolutional neural networks for 3D shape recognition;su;Proceedings of the IEEE International Conference on Computer Vision,2015
4. Dropout: a simple way to prevent neural networks from overfitting;srivastava;The Journal of Machine Learning Research,2014
5. Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling