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Dynamic Graph CNN for Learning on Point Clouds
v1v2 (latest)

Dynamic Graph CNN for Learning on Point Clouds

24 January 2018
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
    GNN3DPC
ArXiv (abs)PDFHTML

Papers citing "Dynamic Graph CNN for Learning on Point Clouds"

50 / 2,313 papers shown
Title
Learning Color Compatibility in Fashion Outfits
Learning Color Compatibility in Fashion Outfits
Heming Zhang
Xuewen Yang
Jianchao Tan
Chi-Hao Wu
Jue Wang
C.-C. Jay Kuo
51
12
0
05 Jul 2020
Local Grid Rendering Networks for 3D Object Detection in Point Clouds
Local Grid Rendering Networks for 3D Object Detection in Point Clouds
Jianan Li
Jiashi Feng
3DPC
35
1
0
04 Jul 2020
Clustering of Electromagnetic Showers and Particle Interactions with
  Graph Neural Networks in Liquid Argon Time Projection Chambers Data
Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data
F. Drielsma
Qing Lin
Pierre Côte de Soux
Laura Dominé
R. Itay
D. Koh
Bradley J. Nelson
K. Terao
K. Tsang
T. Usher
71
5
0
02 Jul 2020
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Ze Liu
Han Hu
Yue Cao
Zheng Zhang
Xin Tong
3DPC
78
185
0
02 Jul 2020
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of
  Intracranial Aneurysms
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms
Xi Yang
Ding Xia
Taichi Kin
Takeo Igarashi
3DPC
34
13
0
29 Jun 2020
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
Xianzhi Li
Ruihui Li
Lei Zhu
Chi-Wing Fu
Pheng-Ann Heng
AI4CE
68
49
0
28 Jun 2020
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic
  Association and Salient Point Clustering Optimization
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
Jingang Tan
Lili Chen
Kangru Wang
Jingquan Peng
Jiamao Li
Xiaolin Zhang
42
8
0
25 Jun 2020
Joint Object Detection and Multi-Object Tracking with Graph Neural
  Networks
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
Yongxin Wang
Kris Kitani
Xinshuo Weng
VOT
120
39
0
23 Jun 2020
Auxiliary Learning by Implicit Differentiation
Auxiliary Learning by Implicit Differentiation
Aviv Navon
Idan Achituve
Haggai Maron
Gal Chechik
Ethan Fetaya
87
59
0
22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral
Graph Neural Networks in TensorFlow and Keras with Spektral
Daniele Grattarola
Cesare Alippi
GNN
179
156
0
22 Jun 2020
Few-shot 3D Point Cloud Semantic Segmentation
Few-shot 3D Point Cloud Semantic Segmentation
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
114
109
0
22 Jun 2020
Graph Pooling with Node Proximity for Hierarchical Representation
  Learning
Graph Pooling with Node Proximity for Hierarchical Representation Learning
Xing Gao
Wenrui Dai
Chenglin Li
H. Xiong
P. Frossard
23
3
0
19 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
174
699
0
18 Jun 2020
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly
  Representations
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations
Jiahao Pang
Duanshun Li
Dong Tian
3DPC
105
40
0
17 Jun 2020
Generative 3D Part Assembly via Dynamic Graph Learning
Generative 3D Part Assembly via Dynamic Graph Learning
Jialei Huang
Guanqi Zhan
Qingnan Fan
Kaichun Mo
Lin Shao
Baoquan Chen
Leonidas Guibas
Hao Dong
126
88
0
14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs
DeeperGCN: All You Need to Train Deeper GCNs
Guohao Li
Chenxin Xiong
Ali K. Thabet
Guohao Li
GNN
275
442
0
13 Jun 2020
Knowledge Embedding Based Graph Convolutional Network
Knowledge Embedding Based Graph Convolutional Network
Donghan Yu
Yiming Yang
Ruohong Zhang
Yuexin Wu
GNN
110
12
0
12 Jun 2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with
  Multi-Feature Learning
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
Xinshuo Weng
Yongxin Wang
Yunze Man
Kris Kitani
3DPCVOT
90
218
0
12 Jun 2020
Local-Area-Learning Network: Meaningful Local Areas for Efficient Point
  Cloud Analysis
Local-Area-Learning Network: Meaningful Local Areas for Efficient Point Cloud Analysis
Qendrim Bytyqi
Nicola Wolpert
E. Schömer
3DPC
55
3
0
12 Jun 2020
Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks
Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks
He Wang
Zetian Jiang
Li Yi
Kaichun Mo
Hao Su
Leonidas Guibas
3DPC
52
19
0
12 Jun 2020
Pointer Graph Networks
Pointer Graph Networks
Petar Velivcković
Lars Buesing
Matthew Overlan
Razvan Pascanu
Oriol Vinyals
Charles Blundell
GNN
119
62
0
11 Jun 2020
Unsupervised Learning of 3D Point Set Registration
Unsupervised Learning of 3D Point Set Registration
Lingjing Wang
Xiang Li
Yi Fang
3DPC
44
10
0
11 Jun 2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
Zaiwei Zhang
Bo Sun
Haitao Yang
Qi-Xing Huang
3DPC
112
200
0
10 Jun 2020
MeshWalker: Deep Mesh Understanding by Random Walks
MeshWalker: Deep Mesh Understanding by Random Walks
Alon Lahav
A. Tal
3DV
146
82
0
09 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need?
Graph-Aware Transformer: Is Attention All Graphs Need?
Sang-yong Yoo
Young-Seok Kim
Kang Lee
Kuhwan Jeong
Junhwi Choi
Hoshik Lee
Y. S. Choi
GNN
97
11
0
09 Jun 2020
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection
Stereo RGB and Deeper LIDAR Based Network for 3D Object Detection
Qingdong He
Zhengning Wang
Hao Zeng
Yijun Liu
Shuaicheng Liu
B. Zeng
3DPC
63
17
0
09 Jun 2020
Parameter-Efficient Person Re-identification in the 3D Space
Parameter-Efficient Person Re-identification in the 3D Space
Zhedong Zheng
Nenggan Zheng
Yi Yang
3DPC
89
63
0
08 Jun 2020
Learning 3D-3D Correspondences for One-shot Partial-to-partial
  Registration
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration
Zheng Dang
Fei Wang
Mathieu Salzmann
3DPC
45
19
0
08 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
130
25
0
08 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and
  Algebraic Multigrid Pooling
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
Moshe Eliasof
Eran Treister
65
25
0
07 Jun 2020
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection
  from Point Clouds
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds
Qingdong He
Zhengning Wang
Hao Zeng
Yi Zeng
Shuaicheng Liu
3DPC
59
102
0
07 Jun 2020
GRNet: Gridding Residual Network for Dense Point Cloud Completion
GRNet: Gridding Residual Network for Dense Point Cloud Completion
Haozhe Xie
Huanjin Yao
Shangchen Zhou
Jiageng Mao
Shengping Zhang
Wenxiu Sun
3DPC
90
317
0
06 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
113
224
0
05 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information
  Maximization and Contrastive Learning
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning
Aditya Sanghi
3DPCSSL
70
102
0
04 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
127
69
0
02 Jun 2020
Self-supervised Modal and View Invariant Feature Learning
Self-supervised Modal and View Invariant Feature Learning
Longlong Jing
Yucheng Chen
Ling Zhang
Mingyi He
Yingli Tian
3DPCSSL
58
29
0
28 May 2020
Permutation Matters: Anisotropic Convolutional Layer for Learning on
  Point Clouds
Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds
Zhongpai Gao
Guangtao Zhai
Junchi Yan
Xiaokang Yang
3DPC
31
2
0
27 May 2020
NENET: An Edge Learnable Network for Link Prediction in Scene Text
NENET: An Edge Learnable Network for Link Prediction in Scene Text
M. Singh
Sayan Banerjee
S. Chaudhuri
28
1
0
25 May 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
Kibok Lee
Zhuoyuan Chen
Xinchen Yan
R. Urtasun
Ersin Yumer
3DPC
66
32
0
24 May 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Ying Li
Lingfei Ma
Zilong Zhong
Fei Liu
Dongpu Cao
Jonathan Li
M. Chapman
3DPC
109
411
0
20 May 2020
Dense-Resolution Network for Point Cloud Classification and Segmentation
Dense-Resolution Network for Point Cloud Classification and Segmentation
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
64
94
0
14 May 2020
Geometric graphs from data to aid classification tasks with graph
  convolutional networks
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
GNN
59
9
0
08 May 2020
Point Cloud Completion by Skip-attention Network with Hierarchical
  Folding
Point Cloud Completion by Skip-attention Network with Hierarchical Folding
Xin Wen
Tianyang Li
Zhizhong Han
Yu-Shen Liu
3DPC
115
243
0
08 May 2020
Deep Learning on Point Clouds for False Positive Reduction at Nodule
  Detection in Chest CT Scans
Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans
I. Drokin
Elena Ericheva
3DPC
40
8
0
07 May 2020
RigNet: Neural Rigging for Articulated Characters
RigNet: Neural Rigging for Articulated Characters
Zhan Xu
Yang Zhou
E. Kalogerakis
Chris Landreth
Karan Singh
3DH
91
53
0
01 May 2020
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
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person
  Detection in 2D Range Data
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
Dan Jia
Alexander Hermans
Bastian Leibe
3DPC
57
40
0
29 Apr 2020
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point
  Clouds of Wild Scenes
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes
Haiyan Wang
Xuejian Rong
Liang Yang
Jinglun Feng
Shuihua Wang
Yingli Tian
3DPC
67
45
0
26 Apr 2020
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive
  Class Weighting Loss for Semantic Segmentation
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
SSL
56
36
0
21 Apr 2020
Facial Action Unit Intensity Estimation via Semantic Correspondence
  Learning with Dynamic Graph Convolution
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
Yingruo Fan
Jacqueline C. K. Lam
Victor O.K. Li
91
50
0
20 Apr 2020
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