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Deep Positional and Relational Feature Learning for Rotation-Invariant
  Point Cloud Analysis

Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis

18 November 2020
Ruixuan Yu
Xin Wei
Federico Tombari
Jian Sun
    3DPC
ArXivPDFHTML

Papers citing "Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis"

23 / 23 papers shown
Title
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning
Zhiyuan Zhang
Binh-Son Hua
D. Rosen
Sai-Kit Yeung
3DPC
44
169
0
17 Aug 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
3DPC
88
888
0
16 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
GNN
106
1,333
0
07 Apr 2019
Equivariant Multi-View Networks
Equivariant Multi-View Networks
Carlos Esteves
Yinshuang Xu
Christine Allen-Blanchette
Kostas Daniilidis
3DPC
40
98
0
01 Apr 2019
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with
  Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
Quang Pham
D. Nguyen
Binh-Son Hua
Gemma Roig
Sai-Kit Yeung
ISeg
3DV
47
204
0
01 Apr 2019
PointConv: Deep Convolutional Networks on 3D Point Clouds
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu
Zhongang Qi
Fuxin Li
3DPC
103
1,552
0
17 Nov 2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local
  Descriptors
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
Haowen Deng
Tolga Birdal
Slobodan Ilic
3DPC
69
388
0
30 Aug 2018
CubeNet: Equivariance to 3D Rotation and Translation
CubeNet: Equivariance to 3D Rotation and Translation
Daniel E. Worrall
Gabriel J. Brostow
3DPC
43
142
0
12 Apr 2018
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
198
769
0
30 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
76
959
0
22 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
223
6,076
0
24 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
198
2,429
0
23 Jan 2018
Learning SO(3) Equivariant Representations with Spherical CNNs
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
87
510
0
17 Nov 2017
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in
  Cluttered Scenes
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang
Tanner Schmidt
V. Narayanan
Dieter Fox
3DPC
104
1,941
0
01 Nov 2017
3D Morphable Models as Spatial Transformer Networks
3D Morphable Models as Spatial Transformer Networks
Anil Bas
P. Huber
W. Smith
Muhammad Awais
J. Kittler
3DH
ViT
52
71
0
23 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
430
129,831
0
12 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC
3DV
252
11,000
0
07 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
395
14,191
0
02 Dec 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC
3DV
157
1,564
0
12 Apr 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
115
1,917
0
24 Feb 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
80
5,482
0
09 Dec 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
257
7,361
0
05 Jun 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
116
3,210
0
05 May 2015
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