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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
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group
  Convolutions
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
Can Chen
L. Z. Fragonara
Antonios Tsourdos
3DPC
46
8
0
23 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
Learning Deformable Point Set Registration with Regularized Dynamic
  Graph CNNs for Large Lung Motion in COPD Patients
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
Lasse Hansen
Doris Dittmer
M. Heinrich
3DPC
39
16
0
17 Sep 2019
Joint Learning of Graph Representation and Node Features in Graph
  Convolutional Neural Networks
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks
Jiaxiang Tang
Wei Hu
Xiang Gao
Zongming Guo
GNN
30
8
0
11 Sep 2019
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
193
272
0
09 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
Blended Convolution and Synthesis for Efficient Discrimination of 3D
  Shapes
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes
Sameera Ramasinghe
Salman Khan
Nick Barnes
Stephen Gould
3DPC
121
4
0
24 Aug 2019
Linking Points With Labels in 3D: A Review of Point Cloud Semantic
  Segmentation
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
Yuxing Xie
Jiaojiao Tian
Xiaoxiang Zhu
3DPC
84
206
0
23 Aug 2019
PCRNet: Point Cloud Registration Network using PointNet Encoding
PCRNet: Point Cloud Registration Network using PointNet Encoding
Vinit Sarode
Xueqian Li
Hunter Goforth
Yasuhiro Aoki
Rangaprasad Arun Srivatsan
Simon Lucey
Howie Choset
3DPC
96
242
0
21 Aug 2019
BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from
  Bird's-Eye View Point Cloud
BoxNet: A Deep Learning Method for 2D Bounding Box Estimation from Bird's-Eye View Point Cloud
E. Nezhadarya
Yang Liu
Bingbing Liu
3DPC
45
9
0
19 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
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
67
169
0
17 Aug 2019
ShellNet: Efficient Point Cloud Convolutional Neural Networks using
  Concentric Shells Statistics
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Zhiyuan Zhang
Binh-Son Hua
Sai-Kit Yeung
3DPC
90
349
0
17 Aug 2019
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic
  Segmentation
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
44
1
0
15 Aug 2019
Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By
  Lookup Tables
Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables
Hongxin Lin
Zelin Xiao
Yang Tan
Hongyang Chao
Shengyong Ding
3DPC
49
22
0
14 Aug 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV3DPC
164
787
0
13 Aug 2019
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Interpolated Convolutional Networks for 3D Point Cloud Understanding
Jiageng Mao
Xiaogang Wang
Hongsheng Li
3DPC
69
218
0
13 Aug 2019
Point-Based Multi-View Stereo Network
Point-Based Multi-View Stereo Network
Rui Chen
Songfang Han
Jing Xu
Hao Su
3DV3DPC
121
342
0
12 Aug 2019
Fast Point R-CNN
Fast Point R-CNN
Yilun Chen
Shu Liu
Xiaoyong Shen
Jiaya Jia
3DPC
91
385
0
08 Aug 2019
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Huikai Wu
Junge Zhang
Kaiqi Huang
3DPC
77
47
0
06 Aug 2019
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global
  Reconstruction with Hierarchical Self-Attention
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention
Xinhai Liu
Zhizhong Han
Xin Wen
Yu-Shen Liu
Matthias Zwicker
3DPC
120
87
0
02 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas Guibas
3DPC
120
134
0
01 Aug 2019
Learning to Dress 3D People in Generative Clothing
Learning to Dress 3D People in Generative Clothing
Qianli Ma
Jinlong Yang
Anurag Ranjan
S. Pujades
Gerard Pons-Moll
Siyu Tang
Michael J. Black
3DH
72
12
0
31 Jul 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
PointHop: An Explainable Machine Learning Method for Point Cloud
  Classification
PointHop: An Explainable Machine Learning Method for Point Cloud Classification
Min Zhang
Haoxuan You
Pranav Kadam
Shan Liu
C.-C. Jay Kuo
3DPC
61
109
0
30 Jul 2019
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point
  Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half
  Prediction
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
Zhizhong Han
Xiyang Wang
Yu-Shen Liu
Matthias Zwicker
3DPC
134
143
0
30 Jul 2019
Dilated Point Convolutions: On the Receptive Field Size of Point
  Convolutions on 3D Point Clouds
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds
Francis Engelmann
Theodora Kontogianni
Bastian Leibe
3DPC
88
27
0
28 Jul 2019
PU-GAN: a Point Cloud Upsampling Adversarial Network
PU-GAN: a Point Cloud Upsampling Adversarial Network
Ruihui Li
Xianzhi Li
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
90
399
0
25 Jul 2019
Learning Embedding of 3D models with Quadric Loss
Learning Embedding of 3D models with Quadric Loss
Nitin Agarwal
Sung-eui Yoon
M. Gopi
3DPC3DV
58
11
0
24 Jul 2019
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous
  Convolution for Unorganized 3D Points
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points
Liang Pan
C. Chew
Gim Hee Lee
3DPC
55
8
0
23 Jul 2019
Deep Graph-Convolutional Image Denoising
Deep Graph-Convolutional Image Denoising
D. Valsesia
Giulia Fracastoro
E. Magli
GNNSSL
59
145
0
19 Jul 2019
How much real data do we actually need: Analyzing object detection
  performance using synthetic and real data
How much real data do we actually need: Analyzing object detection performance using synthetic and real data
F. Nowruzi
Prince Kapoor
Dhanvin Kolhatkar
Fahed Al Hassanat
R. Laganière
Julien Rebut
76
78
0
16 Jul 2019
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
A. Cheraghian
Shafin Rahman
Dylan Campbell
L. Petersson
3DPC
74
41
0
15 Jul 2019
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
Zhijian Liu
Haotian Tang
Chengyue Wu
Song Han
3DPC
167
677
0
08 Jul 2019
Unsupervised cycle-consistent deformation for shape matching
Unsupervised cycle-consistent deformation for shape matching
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
93
42
0
06 Jul 2019
Tranquil Clouds: Neural Networks for Learning Temporally Coherent
  Features in Point Clouds
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds
L. Prantl
N. Chentanez
S. Jeschke
Nils Thuerey
3DPC
65
14
0
03 Jul 2019
Going Deeper with Lean Point Networks
Going Deeper with Lean Point Networks
Eric-Tuan Lê
Iasonas Kokkinos
Niloy J. Mitra
3DPC
52
6
0
01 Jul 2019
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
Xing Gao
H. Xiong
P. Frossard
89
41
0
01 Jul 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
A. Poulenard
Marie-Julie Rakotosaona
Yann Ponty
M. Ovsjanikov
3DPC
93
104
0
27 Jun 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance
  Normalization
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
I. Lim
Moritz Ibing
Leif Kobbelt
3DPC3DV
86
15
0
27 Jun 2019
Large-scale 3D point cloud representations via graph inception networks
  with applications to autonomous driving
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving
Siheng Chen
Sufeng Niu
Tian Lan
Baoan Liu
GNN3DPC
71
31
0
26 Jun 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
PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds
Jonathan Li
Rongren Wu
Yiping Chen
Qing Zhu
Zhipeng Luo
Cheng-Yu Wang
3DPC
17
0
0
20 Jun 2019
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR
  surrounding view
VolMap: A Real-time Model for Semantic Segmentation of a LiDAR surrounding view
Hager Radi
Waleed Ali
3DPC
59
14
0
12 Jun 2019
Manifold Graph with Learned Prototypes for Semi-Supervised Image
  Classification
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
52
2
0
12 Jun 2019
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
Yang Xiao
Xuchong Qiu
Pierre-Alain Langlois
Mathieu Aubry
Renaud Marlet
3DPC
84
67
0
12 Jun 2019
Fast Hierarchical Neural Network for Feature Learning on Point Cloud
Fast Hierarchical Neural Network for Feature Learning on Point Cloud
Can Chen
L. Z. Fragonara
Antonios Tsourdos
3DPC
33
1
0
10 Jun 2019
PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding
  Module for Classification and Segmentation
PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding Module for Classification and Segmentation
Z. Kang
Ning Li
3DPC
77
33
0
07 Jun 2019
Factor Graph Neural Network
Factor Graph Neural Network
Zhen Zhang
Fan Wu
Wee Sun Lee
GNN
60
18
0
03 Jun 2019
Point Clouds Learning with Attention-based Graph Convolution Networks
Point Clouds Learning with Attention-based Graph Convolution Networks
Zhuyang Xie
Junzhou Chen
B. Peng
3DPC
109
54
0
31 May 2019
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