S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification

22 February 2023

Papers citing "S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification"

8 / 8 papers shown

Title
Enhancing Edge Intelligence with Highly Discriminant LNT Features Xinyu Wang Vinod K. Mishra C.-C. Jay Kuo 21 2 0 19 Dec 2023
A Tiny Machine Learning Model for Point Cloud Object Classification M. Zhang Jintang Xue Pranav Kadam Hardik Prajapati Shan Liu C.-C. Jay Kuo 3DPC 34 1 0 20 Mar 2023
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds Pranav Kadam Jiahao Gu Shan Liu C.-C. Jay Kuo 3DPC 33 2 0 27 Feb 2023
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 67 71 0 03 Oct 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
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 111 315 0 25 Apr 2021
A Rotation-Invariant Framework for Deep Point Cloud Analysis Xianzhi Li Ruihui Li Guangyong Chen Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 117 109 0 16 Mar 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 14,099 0 02 Dec 2016