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ConvPoint: Continuous Convolutions for Point Cloud Processing

ConvPoint: Continuous Convolutions for Point Cloud Processing

4 April 2019
Alexandre Boulch
    3DPC
ArXivPDFHTML

Papers citing "ConvPoint: Continuous Convolutions for Point Cloud Processing"

20 / 70 papers shown
Title
Exploiting Local Geometry for Feature and Graph Construction for Better
  3D Point Cloud Processing with Graph Neural Networks
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
Siddharth Srivastava
Gaurav Sharma
3DPC
27
15
0
28 Mar 2021
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on
  Point Clouds
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Mutian Xu
Runyu Ding
Hengshuang Zhao
Xiaojuan Qi
3DPC
21
394
0
26 Mar 2021
Investigate Indistinguishable Points in Semantic Segmentation of 3D
  Point Cloud
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
Mingye Xu
Zhipeng Zhou
Junhao Zhang
Yu Qiao
3DPC
39
14
0
18 Mar 2021
EfficientLPS: Efficient LiDAR Panoptic Segmentation
EfficientLPS: Efficient LiDAR Panoptic Segmentation
Kshitij Sirohi
Rohit Mohan
Daniel Buscher
Wolfram Burgard
Abhinav Valada
29
96
0
16 Feb 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Dogyoon Lee
Jaeha Lee
Junhyeop Lee
Hyeongmin Lee
Minhyeok Lee
Sungmin Woo
Sangyoun Lee
3DPC
150
74
0
03 Feb 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
3DPC
112
66
0
31 Dec 2020
LGENet: Local and Global Encoder Network for Semantic Segmentation of
  Airborne Laser Scanning Point Clouds
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds
Yaping Lin
G. Vosselman
Yanpeng Cao
M. Yang
3DPC
25
24
0
18 Dec 2020
On Learning the Right Attention Point for Feature Enhancement
On Learning the Right Attention Point for Feature Enhancement
Liqiang Lin
Pengdi Huang
FU Chi-Wing
XU Kai
Hao Zhang
Hui Huang
3DPC
36
7
0
11 Dec 2020
ODFNet: Using orientation distribution functions to characterize 3D
  point clouds
ODFNet: Using orientation distribution functions to characterize 3D point clouds
Y. Sahin
Alican Mertan
Gözde B. Ünal
3DPC
21
7
0
08 Dec 2020
Sparse Convolutions on Continuous Domains for Point Cloud and Event
  Stream Networks
Sparse Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
Dominic Jack
Frederic Maire
Simon Denman
Anders P. Eriksson
3DPC
16
3
0
02 Dec 2020
Pyramid Point: A Multi-Level Focusing Network for Revisiting Feature
  Layers
Pyramid Point: A Multi-Level Focusing Network for Revisiting Feature Layers
Nina M. Varney
V. Asari
Quinn Graehling
3DPC
14
15
0
17 Nov 2020
Learning to Reconstruct and Segment 3D Objects
Learning to Reconstruct and Segment 3D Objects
Bo Yang
3DPC
19
1
0
19 Oct 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
141
623
0
21 Jul 2020
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
Nina M. Varney
V. Asari
Quinn Graehling
3DV
3DPC
29
144
0
14 Apr 2020
Deep Learning for 3D Point Clouds: A Survey
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo
Hanyun Wang
Qingyong Hu
Hao Liu
Li Liu
Bennamoun
3DPC
27
1,645
0
27 Dec 2019
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group
  Convolutions
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
Can Chen
L. Z. Fragonara
Antonios Tsourdos
3DPC
21
7
0
23 Sep 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
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
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
115
876
0
03 Feb 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
260
1,812
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
261
3,240
0
24 Nov 2016
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