MKConv: Multidimensional Feature Representation for Point Cloud Analysis

27 July 2021

Papers citing "MKConv: Multidimensional Feature Representation for Point Cloud Analysis"

6 / 6 papers shown

Title
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework Ziyin Zeng Qingyong Hu Zhong Xie Jian Zhou Yongyang Xu 3DPC 32 9 0 03 Apr 2023
Joint Representation Learning for Text and 3D Point Cloud Rui Huang Xuran Pan Henry Zheng Haojun Jiang Zhifeng Xie S. Song Gao Huang 33 19 0 18 Jan 2023
Continuous Conditional Random Field Convolution for Point Cloud Segmentation Fei Yang Franck Davoine Huan Wang Zhong Jin 3DV 3DPC 40 34 0 12 Oct 2021
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 128 270 0 09 Sep 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 152 769 0 30 Mar 2018
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