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SO-Net: Self-Organizing Network for Point Cloud Analysis
v1v2v3v4 (latest)

SO-Net: Self-Organizing Network for Point Cloud Analysis

12 March 2018
Jiaxin Li
Ben M. Chen
Gim Hee Lee
    3DPC
ArXiv (abs)PDFHTMLGithub (341★)

Papers citing "SO-Net: Self-Organizing Network for Point Cloud Analysis"

50 / 391 papers shown
Title
MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point
  Cloud Downsampling
MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling
Y. Qian
Junhui Hou
Qijian Zhang
Yiming Zeng
Sam Kwong
Ying He
3DPC
102
23
0
01 May 2020
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
Dahlia Urbach
Yizhak Ben-Shabat
M. Lindenbaum
3DPC
64
38
0
24 Apr 2020
Joint Supervised and Self-Supervised Learning for 3D Real-World
  Challenges
Joint Supervised and Self-Supervised Learning for 3D Real-World Challenges
A. Alliegro
Davide Boscaini
Tatiana Tommasi
3DPCSSL
77
42
0
15 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
53
2
0
09 Apr 2020
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud
  Segmentation
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
Chenfeng Xu
Bichen Wu
Zining Wang
Wei Zhan
Peter Vajda
Kurt Keutzer
Masayoshi Tomizuka
3DPC
114
360
0
03 Apr 2020
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
Jonas Schult
Francis Engelmann
Theodora Kontogianni
Bastian Leibe
3DPC3DV
62
85
0
02 Apr 2020
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial
  Keypoints
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints
Weikun Wu
Yan Zhang
David Wang
Yunqi Lei
3DPC
67
51
0
31 Mar 2020
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
107
45
0
30 Mar 2020
PointGMM: a Neural GMM Network for Point Clouds
PointGMM: a Neural GMM Network for Point Clouds
Amir Hertz
Rana Hanocka
Raja Giryes
Daniel Cohen-Or
3DPC
145
65
0
30 Mar 2020
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation
  on Point Clouds
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
Jiacheng Wei
Guosheng Lin
Kim-Hui Yap
Tzu-Yi Hung
Lihua Xie
3DPC
77
135
0
29 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
73
132
0
29 Mar 2020
Cross-Shape Attention for Part Segmentation of 3D Point Clouds
Cross-Shape Attention for Part Segmentation of 3D Point Clouds
Marios Loizou
Siddhant Garg
Dmitry Petrov
Melinos Averkiou
E. Kalogerakis
3DPC
117
2
0
20 Mar 2020
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding
  Local Region Contexts
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts
Xinhai Liu
Zhizhong Han
Fangzhou Hong
Yu-Shen Liu
Matthias Zwicker
3DPC
67
21
0
18 Mar 2020
Multimodal Shape Completion via Conditional Generative Adversarial
  Networks
Multimodal Shape Completion via Conditional Generative Adversarial Networks
Rundi Wu
Xuelin Chen
Yixin Zhuang
Baoquan Chen
3DPC
122
86
0
17 Mar 2020
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from
  Point Sets
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets
Clara Fernandez-Labrador
Ajad Chhatkuli
D. Paudel
Jose J. Guerrero
C. Demonceaux
Luc Van Gool
3DPC
68
37
0
17 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
170
109
0
16 Mar 2020
Learning to Segment 3D Point Clouds in 2D Image Space
Learning to Segment 3D Point Clouds in 2D Image Space
Yecheng Lyu
Xinming Huang
Ziming Zhang
3DPC
101
54
0
12 Mar 2020
Unsupervised Learning of Intrinsic Structural Representation Points
Unsupervised Learning of Intrinsic Structural Representation Points
Nenglun Chen
Lingjie Liu
Zhiming Cui
Runnan Chen
Duygu Ceylan
Changhe Tu
Wenping Wang
3DPC
76
60
0
03 Mar 2020
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Xi Yang
Ding Xia
Taichi Kin
Takeo Igarashi
91
77
0
02 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks
  with Adaptive Sampling
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Xu Yan
Chaoda Zheng
Zhuguo Li
Sheng Wang
Shuguang Cui
3DPC
98
552
0
01 Mar 2020
REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in
  Point Clouds
REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds
Binglei Zhao
Hanbo Zhang
Xuguang Lan
Haoyu Wang
Zhiqiang Tian
Nanning Zheng
3DPC
70
12
0
28 Feb 2020
MANet: Multimodal Attention Network based Point- View fusion for 3D
  Shape Recognition
MANet: Multimodal Attention Network based Point- View fusion for 3D Shape Recognition
Yaxin Zhao
Jichao Jiao
Tangkun Zhang
3DPC
70
7
0
28 Feb 2020
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial
  Attacks
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks
Yue Zhao
Yuwei Wu
Caihua Chen
A. Lim
3DPC
97
72
0
27 Feb 2020
FPConv: Learning Local Flattening for Point Convolution
FPConv: Learning Local Flattening for Point Convolution
Yiqun Lin
Zizheng Yan
Haibin Huang
Dong Du
Ligang Liu
Shuguang Cui
Xiaoguang Han
3DPC
72
149
0
25 Feb 2020
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud
  Processing
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing
Xingzhe He
Helen Lu Cao
Bo Zhu
3DPC
38
9
0
01 Feb 2020
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A
  Learnable Scene Descriptor
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
Jiachen Xu
Jing-yu Gong
Jie Zhou
Xin Tan
Yuan Xie
Lizhuang Ma
3DV
66
16
0
24 Jan 2020
Review: deep learning on 3D point clouds
Review: deep learning on 3D point clouds
Saifullahi Aminu Bello
Shangshu Yu
Cheng-Yu Wang
3DPC
62
240
0
17 Jan 2020
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of
  Local Geometric Priors
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
Lulu Tang
Ke Chen
Chaozheng Wu
Yu Hong
Kui Jia
Zhixin Yang
3DPC
60
24
0
14 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao
Tolga Birdal
J. E. Lenssen
Emanuele Menegatti
Leonidas Guibas
Federico Tombari
3DPC
144
89
0
27 Dec 2019
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
189
1,699
0
27 Dec 2019
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature
  Modeling
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Wenkai Han
Chenglu Wen
Cheng-Yu Wang
Xin Li
Qing Li
3DPC
71
93
0
23 Dec 2019
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
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
Lin Zhao
Wenbing Tao
3DVISeg
84
107
0
20 Dec 2019
Transductive Zero-Shot Learning for 3D Point Cloud Classification
Transductive Zero-Shot Learning for 3D Point Cloud Classification
A. Cheraghian
Shafin Rahman
Dylan Campbell
L. Petersson
3DPC
102
57
0
16 Dec 2019
Latent-Space Laplacian Pyramids for Adversarial Representation Learning
  with 3D Point Clouds
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Vage Egiazarian
Savva Ignatyev
Alexey Artemov
Oleg Voynov
A. Kravchenko
Youyi Zheng
Luiz Velho
Evgeny Burnaev
3DPC
47
8
0
13 Dec 2019
SampleNet: Differentiable Point Cloud Sampling
SampleNet: Differentiable Point Cloud Sampling
Itai Lang
Asaf Manor
S. Avidan
3DPC
48
167
0
08 Dec 2019
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
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Spectral-GANs for High-Resolution 3D Point-cloud Generation
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
3DPC
79
37
0
04 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
Abdullah Hamdi
Sara Rojas
Ali K. Thabet
Guohao Li
AAML3DPC
122
131
0
01 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational
  Equivariance
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
64
8
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
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
Nearest Neighbor Sampling of Point Sets using Rays
Nearest Neighbor Sampling of Point Sets using Rays
Liangchen Liu
Louis Ly
C. Macdonald
Y. Tsai
56
1
0
25 Nov 2019
Point Cloud Processing via Recurrent Set Encoding
Point Cloud Processing via Recurrent Set Encoding
Pengxiang Wu
Chao Chen
Jingru Yi
Dimitris N. Metaxas
3DPC
54
11
0
25 Nov 2019
Rotation Invariant Point Cloud Classification: Where Local Geometry
  Meets Global Topology
Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology
Chenchen Zhao
Jiaqi Yang
Xin Xiong
Angfan Zhu
Zhiguo Cao
Xin Li
3DPC
76
30
0
01 Nov 2019
End-to-end Microphone Permutation and Number Invariant Multi-channel
  Speech Separation
End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation
Yi Luo
Zhuo Chen
N. Mesgarani
Takuya Yoshioka
79
182
0
30 Oct 2019
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
Yi-Ling Qiao
Lin Gao
Jie Yang
Paul L. Rosin
Yu-kun Lai
Xilin Chen
3DV3DPC
66
12
0
30 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
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL3DPC
170
195
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
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