R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration
Method

R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method

15 March 2021

Min Zhang

Papers citing "R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method"

10 / 10 papers shown

Title
A Tiny Machine Learning Model for Point Cloud Object Classification Hao Fei Jintang Xue Pranav Kadam Hardik Prajapati Shan Liu C.-C. Jay Kuo 3DPC 42 1 0 20 Mar 2023
RoCNet: 3D Robust Registration of Point-Clouds using Deep Learning K. Slimani Brahim Tamadazte Catherine Achard 3DV 3DPC 22 4 0 14 Mar 2023
Overlap-guided Gaussian Mixture Models for Point Cloud Registration Guofeng Mei Fabio Poiesi Cristiano Saltori Jian Zhang Elisa Ricci N. Sebe 31 21 0 17 Oct 2022
GENHOP: An Image Generation Method Based on Successive Subspace Learning Xuejing Lei Wei Wang C.-C. Jay Kuo VLM 30 6 0 07 Oct 2022
Accurate Ground-Truth Depth Image Generation via Overfit Training of Point Cloud Registration using Local Frame Sets Ji-Woo Kim Minchang Kim Y. Shin Minyoung Chung 3DPC 24 1 0 14 Jul 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation Zohreh Azizi C.-C. Jay Kuo VLM DiffM GAN 35 8 0 01 Jun 2022
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation Pranav Kadam Qingyang Zhou Shan Liu C.-C. Jay Kuo 3DPC 36 10 0 16 Feb 2022
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds Min Zhang Pranav Kadam Shan Liu C.-C. Jay Kuo 3DPC 36 17 0 24 Sep 2021
TEASER: Fast and Certifiable Point Cloud Registration Heng Yang Jingang Shi Luca Carlone 3DPC 142 658 0 21 Jan 2020
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 14,109 0 02 Dec 2016