Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2103.14147
Cited By
Equivariant Point Network for 3D Point Cloud Analysis
25 March 2021
Haiwei Chen
Shichen Liu
Weikai Chen
Hao Li
3DPC
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Equivariant Point Network for 3D Point Cloud Analysis"
43 / 43 papers shown
Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
Ali Alawieh
Alexandru P. Condurache
3DPC
111
0
0
07 May 2025
Relaxed Equivariance via Multitask Learning
Ahmed A. A. Elhag
T. Konstantin Rusch
Francesco Di Giovanni
Michael Bronstein
66
2
0
23 Oct 2024
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings
Sutharsan Mahendren
Saimunur Rahman
Piotr Koniusz
Tharindu Fernando
Sridha Sridharan
Clinton Fookes
Peyman Moghadam
3DPC
53
0
0
24 Sep 2024
Affine Invariance in Continuous-Domain Convolutional Neural Networks
A. Mohaddes
Johannes Lederer
36
1
0
13 Nov 2023
End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
Lei Li
Siyu Zhu
Hongbo Fu
P. Tan
Chiew-Lan Tai
3DPC
69
106
0
12 Mar 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao
Tolga Birdal
J. E. Lenssen
Emanuele Menegatti
Leonidas Guibas
Federico Tombari
3DPC
53
89
0
27 Dec 2019
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo
Hanyun Wang
Qingyong Hu
Hao Liu
Li Liu
Bennamoun
3DPC
61
1,655
0
27 Dec 2019
Learning an Effective Equivariant 3D Descriptor Without Supervision
Riccardo Spezialetti
Samuele Salti
Luigi Di Stefano
SSL
32
40
0
15 Sep 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
131
2,518
0
18 Apr 2019
Equivariant Multi-View Networks
Carlos Esteves
Yinshuang Xu
Christine Allen-Blanchette
Kostas Daniilidis
3DPC
40
98
0
01 Apr 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
86
408
0
11 Feb 2019
Spherical CNNs on Unstructured Grids
Chiyu “Max”
Jingwei Huang
K. Kashinath
Lawrence Berkeley Nat’l Lab
P. Marcus
Matthias Niessner
49
182
0
07 Jan 2019
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
Zan Gojcic
Caifa Zhou
Jan Dirk Wegner
A. Wieser
3DPC
3DV
57
455
0
16 Nov 2018
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Xinhai Liu
Mohamed Morchid
Yu-Shen Liu
Matthias Zwicker
3DPC
34
319
0
06 Nov 2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
Haowen Deng
Tolga Birdal
Slobodan Ilic
3DPC
66
388
0
30 Aug 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
62
501
0
06 Jul 2018
Group Equivariant Capsule Networks
J. E. Lenssen
Matthias Fey
Pascal Libuschewski
47
109
0
13 Jun 2018
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay
Yair Weiss
54
559
0
30 May 2018
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
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
198
769
0
30 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
52
936
0
12 Mar 2018
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
73
959
0
22 Feb 2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
Haowen Deng
Tolga Birdal
Slobodan Ilic
3DV
3DPC
56
544
0
07 Feb 2018
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
113
898
0
30 Jan 2018
Pointwise Convolutional Neural Networks
Binh-Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
3DPC
3DV
49
504
0
14 Dec 2017
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler
Fred Hamprecht
M. Storath
58
386
0
20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
84
510
0
17 Nov 2017
Learning Compact Geometric Features
Marc Khoury
Qian-Yi Zhou
V. Koltun
3DPC
64
198
0
15 Sep 2017
Polar Transformer Networks
Carlos Esteves
Christine Allen-Blanchette
Xiaowei Zhou
Kostas Daniilidis
ViT
43
185
0
06 Sep 2017
Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks
Haibin Huang
E. Kalogerakis
S. Chaudhuri
Duygu Ceylan
Vladimir G. Kim
Ersin Yumer
3DPC
46
134
0
14 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC
3DV
249
11,000
0
07 Jun 2017
Deep Rotation Equivariant Network
Junying Li
Zichen Yang
Haifeng Liu
Deng Cai
35
59
0
24 May 2017
Rotation equivariant vector field networks
Diego Marcos
Michele Volpi
N. Komodakis
D. Tuia
41
269
0
29 Dec 2016
Steerable CNNs
Taco S. Cohen
Max Welling
BDL
95
498
0
27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
94
705
0
14 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
392
14,191
0
02 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
782
14,454
0
07 Oct 2016
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
155
1,564
0
12 Apr 2016
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
Andy Zeng
Shuran Song
Matthias Nießner
Matthew Fisher
Jianxiong Xiao
Thomas Funkhouser
3DV
3DPC
61
980
0
27 Mar 2016
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
112
1,917
0
24 Feb 2016
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
289
43,511
0
17 Sep 2014
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
211
26,091
0
11 Nov 2013
Rotational Projection Statistics for 3D Local Surface Description and Object Recognition
Yulan Guo
Ferdous Sohel
Bennamoun
Min Lu
Jianwei Wan
33
629
0
11 Apr 2013
1