Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds

28 July 2021

Papers citing "Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds"

9 / 9 papers shown

Title
Deep Learning on 3D Semantic Segmentation: A Detailed Review Thodoris Betsas Andreas Georgopoulos Anastasios Doulamis Pierre Grussenmeyer 3DV 3DPC 28 1 0 04 Nov 2024
GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation Wei Zhou Qian Wang Weiwei Jin X. Shi Yong Yu ViT 3DPC 21 5 0 24 May 2023
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation Maosheng Ye Shuangjie Xu Tongyi Cao Qifeng Chen 3DPC 86 37 0 09 Aug 2021
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 137 404 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
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks Kirill Mazur Victor Lempitsky 3DPC 46 39 0 22 Jul 2020
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