Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning

30 April 2021

Papers citing "Multi Voxel-Point Neurons Convolution (MVPConv) for Fast and Accurate 3D Deep Learning"

5 / 5 papers shown

Title
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection Shaoshuai Shi Li Jiang Jiajun Deng Zhe Wang Chaoxu Guo Jianping Shi Xiaogang Wang Hongsheng Li 3DPC 139 404 0 31 Jan 2021
PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D K. Cherenkova Djamila Aouada Gleb Gusev 3DPC 52 16 0 12 Jan 2021
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 768 0 30 Mar 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 113 875 0 03 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016