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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
NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape
  Representation
NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation
Trevor Houchens
ChengEn Lu
Shivam Duggal
Rao Fu
Srinath Sridhar
72
7
0
12 Jun 2022
DPCN++: Differentiable Phase Correlation Network for Versatile Pose
  Registration
DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration
Zexi Chen
Yiyi Liao
Haozhe Du
Haodong Zhang
Xuecheng Xu
Haojian Lu
R. Xiong
Yue Wang
81
2
0
12 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network
E2PN: Efficient SE(3)-Equivariant Point Network
Minghan Zhu
Maani Ghaffari
W. A. Clark
Huei Peng
3DPC
67
19
0
11 Jun 2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling
  Strategies
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Guocheng Qian
Yuchen Li
Houwen Peng
Jinjie Mai
Hasan Hammoud
Mohamed Elhoseiny
Guohao Li
3DPC
156
649
0
09 Jun 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds
AGConv: Adaptive Graph Convolution on 3D Point Clouds
Mingqiang Wei
Zeyong Wei
Hao Zhou
Fei-Jiang Hu
Huajian Si
...
Jingbo Qiu
Xu Yan
Yan Guo
Jun Wang
J. Qin
3DPC
110
40
0
09 Jun 2022
Efficient Human Pose Estimation via 3D Event Point Cloud
Efficient Human Pose Estimation via 3D Event Point Cloud
Jiaan Chen
Haowen Shi
Yaozu Ye
Kailun Yang
Lei Sun
Kaiwei Wang
3DPC3DH
73
26
0
09 Jun 2022
AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding
  Biomechanical Testing
AI-based Clinical Assessment of Optic Nerve Head Robustness Superseding Biomechanical Testing
F. Braeu
Thanadet Chuangsuwanich
T. A. Tun
Alexandre Hoang Thiery
Tin Aung
George Barbastathis
M. Girard
48
5
0
09 Jun 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link
  Prediction
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Seongjun Yun
Seoyoon Kim
Junhyun Lee
Jaewoo Kang
Hyunwoo J. Kim
GNN
76
121
0
09 Jun 2022
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and
  Rasterization-based GAN
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN
Hoàng-Ân Lê
Florent Guiotte
M. Pham
Sébastien Lefèvre
Thomas Corpetti
3DPC
40
10
0
08 Jun 2022
SHRED: 3D Shape Region Decomposition with Learned Local Operations
SHRED: 3D Shape Region Decomposition with Learned Local Operations
R. K. Jones
Aalia Habib
Daniel E. Ritchie
3DPC
54
3
0
07 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures
A Bird's-Eye Tutorial of Graph Attention Architectures
Kaustubh D. Dhole
Carl Yang
69
1
0
06 Jun 2022
Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su
Xun Xu
Kui Jia
TTAOOD
99
46
0
06 Jun 2022
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of
  Real-World 3D Scans
Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans
A. Notchenko
Vladislav Ishimtsev
Alexey Artemov
V. Selyutin
Emil Bogomolov
Evgeny Burnaev
3DPC3DV
88
3
0
06 Jun 2022
GraphDistNet: A Graph-based Collision-distance Estimator for
  Gradient-based Trajectory Optimization
GraphDistNet: A Graph-based Collision-distance Estimator for Gradient-based Trajectory Optimization
Yeseung Kim
Jinwoo Kim
Daehyung Park
81
7
0
03 Jun 2022
Shortest Path Networks for Graph Property Prediction
Shortest Path Networks for Graph Property Prediction
Ralph Abboud
Radoslav Dimitrov
.Ismail .Ilkan Ceylan
GNN
111
49
0
02 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes
Vision GNN: An Image is Worth Graph of Nodes
Kai Han
Yunhe Wang
Jianyuan Guo
Yehui Tang
Enhua Wu
GNN3DH
119
376
0
01 Jun 2022
Strategic Classification with Graph Neural Networks
Strategic Classification with Graph Neural Networks
Itay Eilat
Ben Finkelshtein
Chaim Baskin
Nir Rosenfeld
113
13
0
31 May 2022
Automatic Relation-aware Graph Network Proliferation
Automatic Relation-aware Graph Network Proliferation
Shaofei Cai
Liang Li
Xinzhe Han
Jiebo Luo
Zhengjun Zha
Qingming Huang
GNN
73
8
0
31 May 2022
Few-shot Class-incremental Learning for 3D Point Cloud Objects
Few-shot Class-incremental Learning for 3D Point Cloud Objects
T. Chowdhury
A. Cheraghian
Sameera Ramasinghe
Sahar Ahmadi
Morteza Saberi
Shafin Rahman
3DPC
74
18
0
30 May 2022
The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning
  via Pose-aware Convolution
The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution
Ronghan Chen
Yang Cong
3DH
62
19
0
30 May 2022
Neural Shape Mating: Self-Supervised Object Assembly with Adversarial
  Shape Priors
Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors
Yun-Chun Chen
Haoda Li
Dylan Turpin
Alec Jacobson
Animesh Garg
3DPC
79
46
0
30 May 2022
3D-model ShapeNet Core Classification using Meta-Semantic Learning
3D-model ShapeNet Core Classification using Meta-Semantic Learning
F. Mohammadi
Cheng Chen
Farzan Shenavarmasouleh
M. Amini
Beshoy Morkos
H. Arabnia
3DPC
49
2
0
28 May 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
258
265
0
28 May 2022
3DILG: Irregular Latent Grids for 3D Generative Modeling
3DILG: Irregular Latent Grids for 3D Generative Modeling
Biao Zhang
Matthias Nießner
Peter Wonka
3DV
118
91
0
27 May 2022
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan
Xin Yu
Yuhang Ding
Yi Yang
Mohan Kankanhalli
3DPC
190
113
0
27 May 2022
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
Ziyi Wang
Yongming Rao
Xumin Yu
Jie Zhou
Jiwen Lu
3DPC
71
15
0
26 May 2022
SigMaNet: One Laplacian to Rule Them All
SigMaNet: One Laplacian to Rule Them All
Stefano Fiorini
Stefano Coniglio
Michele Ciavotta
Enza Messina
89
24
0
26 May 2022
Physical-World Optical Adversarial Attacks on 3D Face Recognition
Physical-World Optical Adversarial Attacks on 3D Face Recognition
Yanjie Li
Yiquan Li
Xuelong Dai
Songtao Guo
Bin Xiao
AAML
134
32
0
26 May 2022
QGNN: Value Function Factorisation with Graph Neural Networks
QGNN: Value Function Factorisation with Graph Neural Networks
Ryan Kortvelesy
Amanda Prorok
86
16
0
25 May 2022
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled
  Primitives
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives
Xinke Li
Henghui Ding
Zekun Tong
Yuwei Wu
Yeow Meng Chee
DD
82
4
0
25 May 2022
PointDistiller: Structured Knowledge Distillation Towards Efficient and
  Compact 3D Detection
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
Linfeng Zhang
Runpei Dong
Hung-Shuo Tai
Kaisheng Ma
3DPC
151
50
0
23 May 2022
PointVector: A Vector Representation In Point Cloud Analysis
PointVector: A Vector Representation In Point Cloud Analysis
Xin Deng
Wenyu Zhang
Qing Ding
Xinming Zhang
3DPC
134
33
0
21 May 2022
Tackling Provably Hard Representative Selection via Graph Neural
  Networks
Tackling Provably Hard Representative Selection via Graph Neural Networks
Seyed Mehran Kazemi
Anton Tsitsulin
Hossein Esfandiari
M. Bateni
Deepak Ramachandran
Bryan Perozzi
Vahab Mirrokni
127
3
0
20 May 2022
Advanced Feature Learning on Point Clouds using Multi-resolution
  Features and Learnable Pooling
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
Kevin Tirta Wijaya
Dong-Hee Paek
Seung-Hyun Kong
3DPC
54
23
0
20 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
123
57
0
19 May 2022
VNT-Net: Rotational Invariant Vector Neuron Transformers
VNT-Net: Rotational Invariant Vector Neuron Transformers
Hedi Zisling
Andrei Sharf
3DPC
53
1
0
19 May 2022
A Comparative Study of Feature Expansion Unit for 3D Point Cloud
  Upsampling
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling
Qiang Li
Tao Dai
Shutao Xia
3DPC
32
1
0
19 May 2022
Learning Graph Structure from Convolutional Mixtures
Learning Graph Structure from Convolutional Mixtures
Max Wasserman
Saurabh Sihag
Gonzalo Mateos
Alejandro Ribeiro
GNNCMLBDL
76
6
0
19 May 2022
User Localization using RF Sensing: A Performance comparison between LIS
  and mmWave Radars
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars
Cristian J. Vaca-Rubio
Dariush Salami
P. Popovski
E. de Carvalho
Zheng-Hua Tan
S. Sigg
38
3
0
17 May 2022
Topologically Persistent Features-based Object Recognition in Cluttered
  Indoor Environments
Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments
Ekta U. Samani
A. Banerjee
3DPC
36
0
0
16 May 2022
Transformers in 3D Point Clouds: A Survey
Transformers in 3D Point Clouds: A Survey
Dening Lu
Qian Xie
Mingqiang Wei
Kyle Gao
Linlin Xu
Jonathan Li
3DPCViT
143
53
0
16 May 2022
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary
  Backdoor Pattern Types Using a Maximum Margin Statistic
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic
Hang Wang
Zhen Xiang
David J. Miller
G. Kesidis
AAML
104
44
0
13 May 2022
Surface Representation for Point Clouds
Surface Representation for Point Clouds
Haoxi Ran
Jun Liu
Chengjie Wang
3DPC
119
159
0
11 May 2022
Deep Depth Completion from Extremely Sparse Data: A Survey
Deep Depth Completion from Extremely Sparse Data: A Survey
Junjie Hu
Chenyu Bao
Mete Ozay
Chenyou Fan
Qing Gao
Honghai Liu
Tin Lun Lam
3DV3DPC
54
57
0
11 May 2022
I Know What You Draw: Learning Grasp Detection Conditioned on a Few
  Freehand Sketches
I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand Sketches
Haitao Lin
Chi-Hou Cheang
Yanwei Fu
Xiangyang Xue
54
6
0
09 May 2022
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype
  Learning
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning
Yongyi Su
Xun Xu
Kui Jia
3DPC
80
29
0
06 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning
Low Dimensional Invariant Embeddings for Universal Geometric Learning
Nadav Dym
S. Gortler
96
43
0
05 May 2022
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion
  Networks
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks
Xiaoyu Pan
J. Mai
Xinwei Jiang
Dongxue Tang
Jingxiang Li
Tianjia Shao
Kun Zhou
Xiaogang Jin
Tianyi Zhou
3DHAI4CE
120
51
0
03 May 2022
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding
Xian Shi
Xun Xu
Wanyue Zhang
Xiatian Zhu
Chuan-Sheng Foo
Kui Jia
3DPC
83
5
0
02 May 2022
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds
Tzu-Hsuan Chen
T. Chang
3DPC
62
50
0
02 May 2022
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