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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
Spherical Message Passing for 3D Graph Networks
Spherical Message Passing for 3D Graph Networks
Yi Liu
Limei Wang
Meng Liu
Xuan Zhang
Bora Oztekin
Shuiwang Ji
GNN
86
207
0
09 Feb 2021
Mimetic Neural Networks: A unified framework for Protein Design and
  Folding
Mimetic Neural Networks: A unified framework for Protein Design and Folding
Moshe Eliasof
Tue Boesen
E. Haber
C. Keasar
Eran Treister
AI4CE
71
12
0
07 Feb 2021
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep
  Set
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
Hanqing Chao
Kun Wang
Yiwei He
Junping Zhang
Jianfeng Feng
CVBM
79
166
0
05 Feb 2021
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
Dogyoon Lee
Jaeha Lee
Junhyeop Lee
Hyeongmin Lee
Minhyeok Lee
Sungmin Woo
Sangyoun Lee
3DPC
207
76
0
03 Feb 2021
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
Keyang Zhou
Bharat Lal Bhatnagar
Bernt Schiele
Gerard Pons-Moll
3DPC
69
5
0
01 Feb 2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector
  Representation for 3D Object Detection
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Shaoshuai Shi
Li Jiang
Jiajun Deng
Zhe Wang
Chaoxu Guo
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
239
427
0
31 Jan 2021
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud
  Segmentation
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation
Sindhu B. Hegde
Shankar Gangisetty
3DPC
53
28
0
28 Jan 2021
Automatic design of novel potential 3CL$^{\text{pro}}$ and
  PL$^{\text{pro}}$ inhibitors
Automatic design of novel potential 3CLpro^{\text{pro}}pro and PLpro^{\text{pro}}pro inhibitors
Timothy James Atkinson
Saeed Saremi
Faustino J. Gomez
Jonathan Masci
AI4CE
43
0
0
28 Jan 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph
  neural networks
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
J. Pata
Javier Mauricio Duarte
J. Vlimant
M. Pierini
M. Spiropulu
193
76
0
21 Jan 2021
The Devils in the Point Clouds: Studying the Robustness of Point Cloud
  Convolutions
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
Xingyi Li
Wenxuan Wu
Xiaoli Z. Fern
Li Fuxin
3DPC
51
4
0
19 Jan 2021
Hybrid Trilinear and Bilinear Programming for Aligning Partially
  Overlapping Point Sets
Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets
Wei Lian
W. Zuo
69
2
0
19 Jan 2021
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
Stefan Stojanov
Anh Thai
James M. Rehg
3DPC
71
45
0
18 Jan 2021
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning
  Approach
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach
Xian Shi
Xun Xu
Ke Chen
Lile Cai
Chuan-Sheng Foo
Kui Jia
3DPC
75
32
0
18 Jan 2021
PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in
  3D
PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D
K. Cherenkova
Djamila Aouada
Gleb Gusev
3DPC
88
16
0
12 Jan 2021
Predicting Patient Outcomes with Graph Representation Learning
Predicting Patient Outcomes with Graph Representation Learning
Emma Rocheteau
Catherine Tong
Petar Velickovic
Nicholas D. Lane
Pietro Lio
103
49
0
11 Jan 2021
Spherical Transformer: Adapting Spherical Signal to CNNs
Spherical Transformer: Adapting Spherical Signal to CNNs
Haikuan Du
H. Cao
Junchi Yan
Shen Cai
ViT
65
4
0
11 Jan 2021
MAAS: Multi-modal Assignation for Active Speaker Detection
MAAS: Multi-modal Assignation for Active Speaker Detection
Juan Carlos León Alcázar
Fabian Caba Heilbron
Ali K. Thabet
Guohao Li
130
52
0
11 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
222
272
0
07 Jan 2021
Efficient 3D Point Cloud Feature Learning for Large-Scale Place
  Recognition
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
Le Hui
Mingmei Cheng
Jin Xie
Jian Yang
3DPC
308
72
0
07 Jan 2021
PointCutMix: Regularization Strategy for Point Cloud Classification
PointCutMix: Regularization Strategy for Point Cloud Classification
Jinlai Zhang
Lvjie Chen
Bojun Ouyang
Binbin Liu
Jihong Zhu
Yujing Chen
Yanmei Meng
Danfeng Wu
3DPC
109
115
0
05 Jan 2021
Progressive Correspondence Pruning by Consensus Learning
Progressive Correspondence Pruning by Consensus Learning
Chen Zhao
Yixiao Ge
Feng Zhu
Rui Zhao
Hongsheng Li
Mathieu Salzmann
83
70
0
03 Jan 2021
Learning Rotation-Invariant Representations of Point Clouds Using
  Aligned Edge Convolutional Neural Networks
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
Junming Zhang
Ming-Yuan Yu
Ram Vasudevan
Matthew Johnson-Roberson
3DPC
92
24
0
02 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
190
117
0
02 Jan 2021
Binary Graph Neural Networks
Binary Graph Neural Networks
Mehdi Bahri
Gaétan Bahl
Stefanos Zafeiriou
GNNAI4CE
78
54
0
31 Dec 2020
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
3DPC
181
68
0
31 Dec 2020
SALA: Soft Assignment Local Aggregation for Parameter Efficient 3D
  Semantic Segmentation
SALA: Soft Assignment Local Aggregation for Parameter Efficient 3D Semantic Segmentation
Hani Itani
Silvio Giancola
Ali K. Thabet
Guohao Li
3DPC
39
1
0
29 Dec 2020
AttrE2vec: Unsupervised Attributed Edge Representation Learning
AttrE2vec: Unsupervised Attributed Edge Representation Learning
Piotr Bielak
Tomasz Kajdanowicz
Nitesh Chawla
SSL
66
13
0
29 Dec 2020
FPCC: Fast Point Cloud Clustering based Instance Segmentation for
  Industrial Bin-picking
FPCC: Fast Point Cloud Clustering based Instance Segmentation for Industrial Bin-picking
Yajun Xu
S. Arai
Diyi Liu
Fang-Erh Lin
K. Kosuge
3DPC
73
36
0
29 Dec 2020
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream
  GraphConvolutional Network for 3D Dental Model Segmentation
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation
Lingming Zhang
Yue Zhao
Deyu Meng
Zhiming Cui
Chenqiang Gao
Xinbo Gao
C. Lian
Dinggang Shen
3DPCMedIm
100
32
0
26 Dec 2020
GraNet: Global Relation-aware Attentional Network for ALS Point Cloud
  Classification
GraNet: Global Relation-aware Attentional Network for ALS Point Cloud Classification
Rong Huang
Yusheng Xu
Uwe Stilla
3DPC
36
3
0
24 Dec 2020
Hausdorff Point Convolution with Geometric Priors
Hausdorff Point Convolution with Geometric Priors
Pengdi Huang
Liqiang Lin
Fuyou Xue
Kai Xu
Danny Cohen-Or
Hui Huang
3DPC
70
3
0
24 Dec 2020
Segmentation of structural parts of rosebush plants with 3D point-based
  deep learning methods
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
Kaya Turgut
H. Dutagaci
G. Galopin
David Rousseau
3DPC3DV
102
47
0
21 Dec 2020
Learning Geometry-Disentangled Representation for Complementary
  Understanding of 3D Object Point Cloud
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
Mutian Xu
Junhao Zhang
Zhipeng Zhou
Mingye Xu
Xiaojuan Qi
Yu Qiao
3DPC
182
138
0
20 Dec 2020
Anchor-Based Spatio-Temporal Attention 3D Convolutional Networks for
  Dynamic 3D Point Cloud Sequences
Anchor-Based Spatio-Temporal Attention 3D Convolutional Networks for Dynamic 3D Point Cloud Sequences
Guangming Wang
Muyao Chen
Hanwen Liu
Yehui Yang
Yanfeng Guo
Hesheng Wang
3DPC
72
26
0
20 Dec 2020
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object
  Detection
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection
Yanan Zhang
Di Huang
Yunhong Wang
3DPC
77
93
0
18 Dec 2020
SegGroup: Seg-Level Supervision for 3D Instance and Semantic
  Segmentation
SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation
An Tao
Yueqi Duan
Yi Wei
Jiwen Lu
Jie Zhou
3DPC
108
53
0
18 Dec 2020
Classification of Single-View Object Point Clouds
Classification of Single-View Object Point Clouds
Zelin Xu
Ke Chen
Kangjun Liu
Changxing Ding
Yaowei Wang
Kui Jia
3DPC
48
8
0
18 Dec 2020
PCT: Point cloud transformer
PCT: Point cloud transformer
Meng-Hao Guo
Junxiong Cai
Zheng-Ning Liu
Tai-Jiang Mu
Ralph Robert Martin
Shimin Hu
ViT3DPC
239
1,650
0
17 Dec 2020
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network
  Leveraging Correlated Feature Mining and Geometric-Aware Modelling
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
Kangcheng Liu
Zhi Gao
F. Lin
Ben M. Chen
3DPC
83
57
0
17 Dec 2020
Temporal LiDAR Frame Prediction for Autonomous Driving
Temporal LiDAR Frame Prediction for Autonomous Driving
David Deng
A. Zakhor
3DPC
61
14
0
17 Dec 2020
Shape My Face: Registering 3D Face Scans by Surface-to-Surface
  Translation
Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation
Mehdi Bahri
Eimear O' Sullivan
Shunwang Gong
Feng Liu
Xiaoming Liu
M. Bronstein
Stefanos Zafeiriou
CVBM3DH
94
17
0
16 Dec 2020
Point Transformer
Point Transformer
Hengshuang Zhao
Li Jiang
Jiaya Jia
Philip Torr
V. Koltun
3DPCViT
35
14
0
16 Dec 2020
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong
Yang Cong
Gan Sun
Bingtao Ma
Lichen Wang
3DPCCLL
95
32
0
16 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
170
127
0
16 Dec 2020
Jet tagging in the Lund plane with graph networks
Jet tagging in the Lund plane with graph networks
F. Dreyer
H. Qu
117
75
0
15 Dec 2020
Understanding Image Retrieval Re-Ranking: A Graph Neural Network
  Perspective
Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
Xuanmeng Zhang
Minyue Jiang
Zhedong Zheng
Xiaoping Tan
Errui Ding
Yi Yang
GNN
80
45
0
14 Dec 2020
Learning Category-level Shape Saliency via Deep Implicit Surface
  Networks
Learning Category-level Shape Saliency via Deep Implicit Surface Networks
Chaozheng Wu
Lin Sun
Xun Xu
Kui Jia
3DPC
35
0
0
14 Dec 2020
Learning Hybrid Representations for Automatic 3D Vessel Centerline
  Extraction
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Jiafa He
Changzai Pan
Can Yang
Ming Zhang
Yang Wang
Xiaowei Zhou
Yizhou Yu
3DPC
47
26
0
14 Dec 2020
D$^2$IM-Net: Learning Detail Disentangled Implicit Fields from Single
  Images
D2^22IM-Net: Learning Detail Disentangled Implicit Fields from Single Images
Manyi Li
Hao Zhang
3DV
99
45
0
11 Dec 2020
On Learning the Right Attention Point for Feature Enhancement
On Learning the Right Attention Point for Feature Enhancement
Liqiang Lin
Pengdi Huang
FU Chi-Wing
XU Kai
Hao Zhang
Hui Huang
3DPC
72
8
0
11 Dec 2020
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