ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1801.07829
  4. Cited By
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
Rethinking Table Recognition using Graph Neural Networks
Rethinking Table Recognition using Graph Neural Networks
S. Qasim
Hassan Mahmood
Faisal Shafait
GNNLMTD
52
13
0
31 May 2019
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on
  Point Clouds
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds
P. Jin
Tianhao Lai
Rongjie Lai
Bin Dong
3DPC
31
3
0
29 May 2019
Graph Filtration Learning
Graph Filtration Learning
Christoph Hofer
Florian Graf
Bastian Rieck
Marc Niethammer
Roland Kwitt
125
102
0
27 May 2019
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
Arsalan Mousavian
Clemens Eppner
Dieter Fox
3DPC
125
567
0
25 May 2019
GAPNet: Graph Attention based Point Neural Network for Exploiting Local
  Feature of Point Cloud
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
Can Chen
L. Z. Fragonara
Antonios Tsourdos
3DPC
36
87
0
21 May 2019
Learning Video Representations from Correspondence Proposals
Learning Video Representations from Correspondence Proposals
Xingyu Liu
Joon-Young Lee
Hailin Jin
77
64
0
20 May 2019
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud
  Processing
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
Chaitanya Kaul
Nick E. Pears
S. Manandhar
3DPC
72
14
0
18 May 2019
3D Point Cloud Generative Adversarial Network Based on Tree Structured
  Graph Convolutions
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
Dong Wook Shu
Sung Woo Park
Junseok Kwon
3DPC
123
286
0
15 May 2019
Monocular 3D Object Detection via Geometric Reasoning on Keypoints
Monocular 3D Object Detection via Geometric Reasoning on Keypoints
Ivan Barabanau
Alexey Artemov
Evgeny Burnaev
Vyacheslav Murashkin
3DPCMDE
61
65
0
14 May 2019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology
  Inference and Filtering
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
Siheng Chen
Chaojing Duan
Yaoqing Yang
Duanshun Li
Chen Feng
Dong Tian
3DPC
101
73
0
11 May 2019
Deep Closest Point: Learning Representations for Point Cloud
  Registration
Deep Closest Point: Learning Representations for Point Cloud Registration
Yue Wang
Justin Solomon
3DPC
74
854
0
08 May 2019
Unsupervised Detection of Distinctive Regions on 3D Shapes
Unsupervised Detection of Distinctive Regions on 3D Shapes
Xianzhi Li
Lequan Yu
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
95
20
0
05 May 2019
Graph Matching Networks for Learning the Similarity of Graph Structured
  Objects
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li
Chenjie Gu
T. Dullien
Oriol Vinyals
Pushmeet Kohli
128
536
0
29 Apr 2019
Unsupervised Feature Learning for Point Cloud by Contrasting and
  Clustering With Graph Convolutional Neural Network
Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network
Ling Zhang
Zhigang Zhu
3DPCSSL
63
15
0
28 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised
  Classification
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Xiang Gao
Wei Hu
Zongming Guo
GNN
60
1
0
23 Apr 2019
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking
  Hierarchical Features
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
Kuangen Zhang
M. Hao
Jing Wang
Clarence W. de Silva
Chenglong Fu
3DPC
79
171
0
22 Apr 2019
Deep Hough Voting for 3D Object Detection in Point Clouds
Deep Hough Voting for 3D Object Detection in Point Clouds
C. Qi
Or Litany
Kaiming He
Leonidas Guibas
3DPC
127
1,292
0
21 Apr 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
175
2,560
0
18 Apr 2019
3D Object Recognition with Ensemble Learning --- A Study of Point
  Cloud-Based Deep Learning Models
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models
Daniel Koguciuk
L. Chechlinski
Tarek El-Gaaly
3DPC
48
11
0
17 Apr 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
125
896
0
16 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
E. Nezhadarya
E. Taghavi
Ryan Razani
Bingbing Liu
Jun Luo
3DPC
60
108
0
11 Apr 2019
Relational Graph Attention Networks
Relational Graph Attention Networks
Dan Busbridge
Dane Sherburn
Pietro Cavallo
Nils Y. Hammerla
GNN
63
183
0
11 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
3DPCGNN
169
1,355
0
07 Apr 2019
Context-aware Human Motion Prediction
Context-aware Human Motion Prediction
Enric Corona
Albert Pumarola
Guillem Alenyà
Francesc Moreno-Noguer
3DH
127
143
0
06 Apr 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Jiancheng Yang
Qiang Zhang
Bingbing Ni
Linguo Li
Jinxian Liu
Mengdie Zhou
Qi Tian
3DPC
93
382
0
06 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
3DPC
166
245
0
04 Apr 2019
3D-BEVIS: Bird's-Eye-View Instance Segmentation
3D-BEVIS: Bird's-Eye-View Instance Segmentation
Cathrin Elich
Francis Engelmann
Theodora Kontogianni
Bastian Leibe
3DPCISeg
106
56
0
03 Apr 2019
Robustness of 3D Deep Learning in an Adversarial Setting
Robustness of 3D Deep Learning in an Adversarial Setting
Matthew Wicker
Marta Kwiatkowska
3DPC
82
99
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
ISeg3DV
73
205
0
01 Apr 2019
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds
MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds
Ali K. Thabet
Humam Alwassel
Guohao Li
3DPC
93
28
0
30 Mar 2019
Micro-Batch Training with Batch-Channel Normalization and Weight
  Standardization
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
Siyuan Qiao
Huiyu Wang
Chenxi Liu
Wei Shen
Alan Yuille
MQ
130
144
0
25 Mar 2019
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud
Xinshuo Weng
Kris Kitani
3DPC
65
261
0
23 Mar 2019
On Deep Set Learning and the Choice of Aggregations
On Deep Set Learning and the Choice of Aggregations
Maximilian Sölch
A. Akhundov
Patrick van der Smagt
Justin Bayer
TDI
72
20
0
18 Mar 2019
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
Yasuhiro Aoki
Hunter Goforth
Rangaprasad Arun Srivatsan
Simon Lucey
3DV3DPC
90
759
0
13 Mar 2019
NormalNet: Learning-based Normal Filtering for Mesh Denoising
NormalNet: Learning-based Normal Filtering for Mesh Denoising
Wenbo Zhao
Xianming Liu
Yongsen Zhao
Xiaopeng Fan
Debin Zhao
AI4CE
45
7
0
10 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
306
4,375
0
06 Mar 2019
Adversarial Attack and Defense on Point Sets
Adversarial Attack and Defense on Point Sets
Jiancheng Yang
Qiang Zhang
Rongyao Fang
Bingbing Ni
Jinxian Liu
Qi Tian
3DPC
112
125
0
28 Feb 2019
Zero-shot Learning of 3D Point Cloud Objects
Zero-shot Learning of 3D Point Cloud Objects
A. Cheraghian
Shafin Rahman
L. Petersson
3DPC
92
57
0
27 Feb 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr
David Wingate
BDL
67
12
0
26 Feb 2019
Associatively Segmenting Instances and Semantics in Point Clouds
Associatively Segmenting Instances and Semantics in Point Clouds
Xinlong Wang
Shu Liu
Xiaoyong Shen
Chunhua Shen
Jiaya Jia
ISeg3DPC
82
250
0
26 Feb 2019
ParticleNet: Jet Tagging via Particle Clouds
ParticleNet: Jet Tagging via Particle Clouds
H. Qu
L. Gouskos
3DPCMU
104
231
0
22 Feb 2019
Learning representations of irregular particle-detector geometry with
  distance-weighted graph networks
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
S. Qasim
J. Kieseler
Y. Iiyama
M. Pierini
105
137
0
21 Feb 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A
  Survey
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing
Yingli Tian
SSL
235
1,706
0
16 Feb 2019
3D Graph Embedding Learning with a Structure-aware Loss Function for
  Point Cloud Semantic Instance Segmentation
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation
Zhidong Liang
Ming Yang
Chunxiang Wang
3DPC
113
27
0
14 Feb 2019
Fake News Detection on Social Media using Geometric Deep Learning
Fake News Detection on Social Media using Geometric Deep Learning
Federico Monti
Fabrizio Frasca
D. Eynard
Damon Mannion
M. Bronstein
GNN
113
470
0
10 Feb 2019
NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler
NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler
Edoardo Remelli
Pierre Baqué
Pascal Fua
3DPC
45
15
0
27 Jan 2019
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Jonathan Sauder
Bjarne Sievers
3DPC
93
18
0
24 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDLGNN
77
1
0
24 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
219
3,719
0
16 Jan 2019
PointWise: An Unsupervised Point-wise Feature Learning Network
PointWise: An Unsupervised Point-wise Feature Learning Network
Matan Shoef
Sharon Fogel
Daniel Cohen-Or
3DPC
62
10
0
14 Jan 2019
Previous
123...44454647
Next