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Semantic Classification of 3D Point Clouds with Multiscale Spherical
  Neighborhoods

Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods

1 August 2018
Hugues Thomas
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Y. L. Gall
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods"

30 / 30 papers shown
Title
Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context
Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context
Bojun Liu
Yangzhi Ma
Ao Luo
L. Li
Dong Liu
3DPC
80
0
0
24 Mar 2025
Decoupled Local Aggregation for Point Cloud Learning
Decoupled Local Aggregation for Point Cloud Learning
Binjie Chen
Yunzhou Xia
Yu Zang
Cheng-Yu Wang
Jonathan Li
3DPC
79
10
0
31 Aug 2023
DReg-NeRF: Deep Registration for Neural Radiance Fields
DReg-NeRF: Deep Registration for Neural Radiance Fields
Yu Chen
G. Lee
100
16
0
18 Aug 2023
GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with
  Gaussian Processes on Riemannian Manifolds
GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian Manifolds
Stuti Pathak
Thomas M. McDonald
Seppe Sels
R. Penne
3DPC
64
1
0
27 Mar 2023
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global
  Cross-Modal Fusion
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
Xin Li
Tengyu Ma
Yuenan Hou
Botian Shi
Yucheng Yang
...
Xingjiao Wu
Qingsheng Chen
Yikang Li
Yu Qiao
Liangbo He
3DPC
129
95
0
07 Mar 2023
Using t-distributed stochastic neighbor embedding for visualization and
  segmentation of 3D point clouds of plants
Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plants
H. Dutagaci
3DPC
43
1
0
07 Feb 2023
Learning from Mistakes: Self-Regularizing Hierarchical Representations
  in Point Cloud Semantic Segmentation
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation
Elena Camuffo
Umberto Michieli
Simone Milani
3DPC
104
5
0
26 Jan 2023
AGConv: Adaptive Graph Convolution on 3D Point Clouds
AGConv: Adaptive Graph Convolution on 3D Point Clouds
Mingqiang Wei
Zeyong Wei
Hao Zhou
Fei-Jiang Hu
Huajian Si
...
Jingbo Qiu
Xu Yan
Yan Guo
Jun Wang
J. Qin
3DPC
110
40
0
09 Jun 2022
Point Density-Aware Voxels for LiDAR 3D Object Detection
Point Density-Aware Voxels for LiDAR 3D Object Detection
Jordan S. K. Hu
Tianshu Kuai
Steven L. Waslander
3DPC
128
166
0
10 Mar 2022
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban
  Meshes
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes
Weixiao Gao
Liangliang Nan
B. Boom
H. Ledoux
3DPC
82
26
0
07 Feb 2022
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey
Keli Huang
Botian Shi
Xiang Li
Xin Li
Siyuan Huang
Yikang Li
107
146
0
06 Feb 2022
Continuous Conditional Random Field Convolution for Point Cloud
  Segmentation
Continuous Conditional Random Field Convolution for Point Cloud Segmentation
Fei Yang
Franck Davoine
Huan Wang
Zhong Jin
3DV3DPC
102
34
0
12 Oct 2021
Learning Semantic Segmentation of Large-Scale Point Clouds with Random
  Sampling
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
Niki Trigoni
Andrew Markham
3DPC
88
184
0
06 Jul 2021
No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh
  Models
No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models
Zicheng Zhang
Wei Sun
Xiongkuo Min
Tao Wang
Wei Lu
Guangtao Zhai
127
122
0
05 Jul 2021
Omni-supervised Point Cloud Segmentation via Gradual Receptive Field
  Component Reasoning
Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
Jing-yu Gong
Jiachen Xu
Xin Tan
Haichuan Song
Yanyun Qu
Yuan Xie
Lizhuang Ma
3DPC
84
44
0
21 May 2021
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point
  Clouds
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
Qingyong Hu
Bo Yang
Guangchi Fang
Yulan Guo
A. Leonardis
Niki Trigoni
Andrew Markham
3DPC
136
124
0
11 Apr 2021
Potential Convolution: Embedding Point Clouds into Potential Fields
Potential Convolution: Embedding Point Clouds into Potential Fields
Dengsheng Chen
Haowen Deng
Jun Li
Duo Li
Yao Duan
Kai Xu
3DPC
45
0
0
05 Apr 2021
Unsupervised Learning of Lidar Features for Use in a Probabilistic
  Trajectory Estimator
Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator
David J. Yoon
Haowei Zhang
Mona Gridseth
Hugues Thomas
Timothy D. Barfoot
SSL3DPC
65
12
0
22 Feb 2021
The Devils in the Point Clouds: Studying the Robustness of Point Cloud
  Convolutions
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
Xingyi Li
Wenxuan Wu
Xiaoli Z. Fern
Li Fuxin
3DPC
58
4
0
19 Jan 2021
Hausdorff Point Convolution with Geometric Priors
Hausdorff Point Convolution with Geometric Priors
Pengdi Huang
Liqiang Lin
Fuyou Xue
Kai Xu
Danny Cohen-Or
Hui Huang
3DPC
72
3
0
24 Dec 2020
Spherical Interpolated Convolutional Network with Distance-Feature
  Density for 3D Semantic Segmentation of Point Clouds
Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds
Guangming Wang
Yehui Yang
Huixin Zhang
Yanfeng Guo
Hesheng Wang
3DPC
54
25
0
27 Nov 2020
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Ze Liu
Han Hu
Yue Cao
Zheng Zhang
Xin Tong
3DPC
90
185
0
02 Jul 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
130
25
0
08 Jun 2020
Permutation Matters: Anisotropic Convolutional Layer for Learning on
  Point Clouds
Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds
Zhongpai Gao
Guangtao Zhai
Junchi Yan
Xiaokang Yang
3DPC
33
2
0
27 May 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Ying Li
Lingfei Ma
Zilong Zhong
Fei Liu
Dongpu Cao
Jonathan Li
M. Chapman
3DPC
109
413
0
20 May 2020
Augmented Semantic Signatures of Airborne LiDAR Point Clouds for
  Comparison
Augmented Semantic Signatures of Airborne LiDAR Point Clouds for Comparison
Jaya Sreevalsan-Nair
Pragyan Mohapatra
3DPC
8
0
0
29 Apr 2020
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
Alexandre Boulch
Gilles Puy
Renaud Marlet
3DPC
55
2
0
09 Apr 2020
Geometry Sharing Network for 3D Point Cloud Classification and
  Segmentation
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
Mingye Xu
Zhipeng Zhou
Yu Qiao
3DPC
73
93
0
23 Dec 2019
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Qingyong Hu
Bo Yang
Linhai Xie
Stefano Rosa
Yulan Guo
Zhihua Wang
A. Trigoni
Andrew Markham
3DPC
123
1,522
0
25 Nov 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
302
2,569
0
18 Apr 2019
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