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KPConv: Flexible and Deformable Convolution for Point Clouds
v1v2 (latest)

KPConv: Flexible and Deformable Convolution for Point Clouds

18 April 2019
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
    3DPC
ArXiv (abs)PDFHTML

Papers citing "KPConv: Flexible and Deformable Convolution for Point Clouds"

24 / 1,124 papers shown
Title
Grid-GCN for Fast and Scalable Point Cloud Learning
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
3DPCGNN
98
245
0
06 Dec 2019
SGAS: Sequential Greedy Architecture Search
SGAS: Sequential Greedy Architecture Search
Ge Li
Guocheng Qian
Itzel C. Delgadillo
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
84
188
0
30 Nov 2019
Geometric Back-projection Network for Point Cloud Classification
Geometric Back-projection Network for Point Cloud Classification
S. Qiu
Saeed Anwar
Nick Barnes
3DPC
69
3
0
28 Nov 2019
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic
  Segmentation
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
M. Jaritz
Tuan-Hung Vu
Raoul de Charette
É. Wirbel
P. Pérez
3DPC
90
200
0
28 Nov 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
112
1,519
0
25 Nov 2019
Tabulated MLP for Fast Point Feature Embedding
Tabulated MLP for Fast Point Feature Embedding
Yusuke Sekikawa
Teppei Suzuki
51
5
0
23 Nov 2019
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Jean-Baptiste Weibel
T. Patten
Markus Vincze
3DPC
51
14
0
28 Oct 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang
Justin Solomon
SSL3DPC
142
390
0
27 Oct 2019
PointRNN: Point Recurrent Neural Network for Moving Point Cloud
  Processing
PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing
Hehe Fan
Yezhou Yang
3DPC
69
89
0
18 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPCGNN
98
176
0
15 Oct 2019
Density-Aware Convolutional Networks with Context Encoding for Airborne
  LiDAR Point Cloud Classification
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification
Xiang Li
Lingjing Wang
Mingyang Wang
Lingjing Wang
Congcong Wen
Yi Fang
3DPC
59
33
0
14 Oct 2019
Deformable Kernels: Adapting Effective Receptive Fields for Object
  Deformation
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao
Xizhou Zhu
Steve Lin
Jifeng Dai
130
65
0
07 Oct 2019
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Mingtao Feng
Liang Zhang
Xuefei Lin
Syed Zulqarnain Gilani
Ajmal Mian
3DPC
136
152
0
27 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
93
168
0
20 Sep 2019
GMLS-Nets: A framework for learning from unstructured data
GMLS-Nets: A framework for learning from unstructured data
Nathaniel Trask
Ravi G. Patel
B. Gross
P. Atzberger
59
42
0
07 Sep 2019
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of
  Local Regions on Point Clouds using Spatial-aware Capsules
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules
Xin Wen
Zhizhong Han
Xinhai Liu
Yu-Shen Liu
3DPC
84
38
0
29 Aug 2019
Directionally Constrained Fully Convolutional Neural Network For
  Airborne Lidar Point Cloud Classification
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
Congcong Wen
Lina Yang
Ling Peng
Xiang Li
T. Chi
3DPC
79
101
0
19 Aug 2019
Deformable Filter Convolution for Point Cloud Reasoning
Deformable Filter Convolution for Point Cloud Reasoning
Yuwen Xiong
Mengye Ren
Renjie Liao
K. Wong
R. Urtasun
3DPC
80
17
0
30 Jul 2019
A review on deep learning techniques for 3D sensed data classification
A review on deep learning techniques for 3D sensed data classification
David J. Griffiths
Jan Boehm
3DPC3DV
100
166
0
09 Jul 2019
Spatial Transformer for 3D Point Clouds
Spatial Transformer for 3D Point Clouds
Jiayun Wang
Rudrasis Chakraborty
Stella X. Yu
3DPC
75
15
0
26 Jun 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point
  Clouds
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang
Jianan Wang
R. Clark
Qingyong Hu
Sen Wang
Andrew Markham
A. Trigoni
3DPC
160
329
0
04 Jun 2019
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on
  Point Clouds
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds
P. Jin
Tianhao Lai
Rongjie Lai
Bin Dong
3DPC
31
3
0
29 May 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
3DPC
166
245
0
04 Apr 2019
Inference, Learning and Attention Mechanisms that Exploit and Preserve
  Sparsity in Convolutional Networks
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks
Timo Hackel
Mikhail (Misha) Usvyatsov
S. Galliani
Jan Dirk Wegner
Konrad Schindler
87
14
0
31 Jan 2018
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