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Dynamic Graph CNN for Learning on Point Clouds

Dynamic Graph CNN for Learning on Point Clouds

24 January 2018
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
    GNN
    3DPC
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Papers citing "Dynamic Graph CNN for Learning on Point Clouds"

50 / 935 papers shown
Title
Clustering of Time-Varying Graphs Based on Temporal Label Smoothness
Clustering of Time-Varying Graphs Based on Temporal Label Smoothness
Katsuki Fukumoto
Koki Yamada
Yuichi Tanaka
Hoi-To Wai
AI4TS
34
0
0
11 May 2023
VTPNet for 3D deep learning on point cloud
VTPNet for 3D deep learning on point cloud
Wei Zhou
Weiwei Jin
Qian Wang
Yifan Wang
Dekui Wang
Xingxing Hao
Yong Yu
3DPC
ViT
14
0
0
10 May 2023
Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal
  Retriveal
Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal Retriveal
Zhitao Liu
Zengyu Liu
Jiwei Wei
Guan Wang
Zhenjiang Du
Ning Xie
H. Shen
29
2
0
07 May 2023
ViewFormer: View Set Attention for Multi-view 3D Shape Understanding
ViewFormer: View Set Attention for Multi-view 3D Shape Understanding
Hongyu Sun
Yongcai Wang
Peng Wang
Xudong Cai
Deying Li
17
2
0
29 Apr 2023
A Review of Panoptic Segmentation for Mobile Mapping Point Clouds
A Review of Panoptic Segmentation for Mobile Mapping Point Clouds
Binbin Xiang
Yuanwen Yue
T. Peters
Konrad Schindler
3DPC
22
7
0
27 Apr 2023
Change detection needs change information: improving deep 3D point cloud
  change detection
Change detection needs change information: improving deep 3D point cloud change detection
Iris de Gélis
Thomas Corpetti
Sébastien Lefèvre
3DPC
32
13
0
25 Apr 2023
S3M: Scalable Statistical Shape Modeling through Unsupervised
  Correspondences
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
Lennart Bastian
Alexander Bauman
Emily Hoppe
Vincent Burgin
Ha Young Kim
Mahdi Saleh
Benjamin Busam
Nassir Navab
30
8
0
15 Apr 2023
Region-Enhanced Feature Learning for Scene Semantic Segmentation
Region-Enhanced Feature Learning for Scene Semantic Segmentation
Xin Kang
Chaoqun Wang
Xuejin Chen
24
3
0
15 Apr 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Yaohua Zha
Jinpeng Wang
Tao Dai
Bin Chen
Zhi Wang
Shutao Xia
VLM
48
45
0
14 Apr 2023
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud
  Pretraining
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
Siming Yan
Yu-Qi Yang
Yu-Xiao Guo
Hao Pan
Peng-shuai Wang
Xin Tong
Yang Liu
Qi-Xing Huang
3DPC
41
15
0
14 Apr 2023
RoSI: Recovering 3D Shape Interiors from Few Articulation Images
RoSI: Recovering 3D Shape Interiors from Few Articulation Images
A. Patil
Yiming Qian
Shangxue Yang
Brian P. Jackson
Eric P. Bennett
Haotong Zhang
45
4
0
13 Apr 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot
  Learning
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
Tejas Anvekar
Dena Bazazian
3DPC
34
8
0
12 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
54
141
0
11 Apr 2023
Self-Ordering Point Clouds
Self-Ordering Point Clouds
Pengwan Yang
Cees G. M. Snoek
Yuki M. Asano
SSL
3DPC
21
4
0
03 Apr 2023
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
Sijie Wang
Qiyu Kang
Rui She
Wei Wang
K. Zhao
Yang Song
Wee Peng Tay
31
18
0
03 Apr 2023
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with
  U-Next Framework
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework
Ziyin Zeng
Qingyong Hu
Zhong Xie
Jian Zhou
Yongyang Xu
3DPC
32
9
0
03 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification
A Closer Look at Few-Shot 3D Point Cloud Classification
Chuangguan Ye
Erik Cambria
Bo-Wen Zhang
Tao Chen
3DPC
29
15
0
31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification?
What Makes for Effective Few-shot Point Cloud Classification?
Chuangguan Ye
Erik Cambria
Yongbin Liao
Yang-ting Zhang
Tao Chen
Jiayuan Fan
3DPC
27
26
0
31 Mar 2023
IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base
  Object Detection
IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base Object Detection
Haotian Hu
Fanyi Wang
Jingwen Su
Shiyu Gao
Zhiwang Zhang
3DPC
35
3
0
31 Mar 2023
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud
  Understanding
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding
Hengjia Li
Tu Zheng
Zhihao Chi
Zheng Yang
Wenxiao Wang
Boxi Wu
Binbin Lin
Deng Cai
3DPC
51
1
0
31 Mar 2023
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point
  Cloud Analysis
MLGCN: An Ultra Efficient Graph Convolution Neural Model For 3D Point Cloud Analysis
Mohammad Khodadad
Morteza Rezanejad
Ali Shiraee Kasmaee
K. Siddiqi
Dirk Bernhardt-Walther
H. Mahyar
3DPC
24
1
0
31 Mar 2023
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud
  Normal Estimation
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
Hang Du
Xuejun Yan
Jingjing Wang
Di Xie
Shiliang Pu
3DPC
36
15
0
30 Mar 2023
LinK: Linear Kernel for LiDAR-based 3D Perception
LinK: Linear Kernel for LiDAR-based 3D Perception
Tao Lu
Xiang Ding
Haisong Liu
Gangshan Wu
Liming Wang
40
36
0
28 Mar 2023
StarNet: Style-Aware 3D Point Cloud Generation
StarNet: Style-Aware 3D Point Cloud Generation
Yunfan Zhang
Hao Wang
Guosheng Lin
Vun Chan Hua Nicholas
Zhiqi Shen
Chunyan Miao
3DPC
3DV
33
1
0
28 Mar 2023
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object
  Segmentation Without Scene Supervision
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
Jiahui Lei
Congyue Deng
Karl Schmeckpeper
Leonidas J. Guibas
Kostas Daniilidis
3DPC
28
21
0
27 Mar 2023
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
Dávid Rozenberszki
Or Litany
Angela Dai
3DPC
ISeg
34
23
0
25 Mar 2023
Link Prediction for Flow-Driven Spatial Networks
Link Prediction for Flow-Driven Spatial Networks
Bastian Wittmann
Johannes C. Paetzold
Chinmay Prabhakar
Daniel Rueckert
Bjoern H. Menze
GNN
29
7
0
25 Mar 2023
GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color
  Attribute
GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute
Jinrui Xing
Hui Yuan
R. Hamzaoui
Hao Liu
Junhui Hou
3DPC
35
35
0
24 Mar 2023
A Tiny Machine Learning Model for Point Cloud Object Classification
A Tiny Machine Learning Model for Point Cloud Object Classification
Hao Fei
Jintang Xue
Pranav Kadam
Hardik Prajapati
Shan Liu
C.-C. Jay Kuo
3DPC
42
1
0
20 Mar 2023
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud
  Registration
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
Zheng Qin
Hao Yu
Changjian Wang
Yuxing Peng
Kaiping Xu
3DPC
27
17
0
17 Mar 2023
RoCNet: 3D Robust Registration of Point-Clouds using Deep Learning
RoCNet: 3D Robust Registration of Point-Clouds using Deep Learning
K. Slimani
Brahim Tamadazte
Catherine Achard
3DV
3DPC
22
4
0
14 Mar 2023
A Generalized Multi-Modal Fusion Detection Framework
A Generalized Multi-Modal Fusion Detection Framework
Leichao Cui
Xiuxian Li
Min Meng
Xiaoyu Mo
3DPC
35
2
0
13 Mar 2023
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of
  Quadratic Networks
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks
Fenglei Fan
Hangcheng Dong
Zhongming Wu
Lecheng Ruan
T. Zeng
Yiming Cui
Jing-Xiao Liao
59
8
0
11 Mar 2023
Necessity Feature Correspondence Estimation for Large-scale Global Place
  Recognition and Relocalization
Necessity Feature Correspondence Estimation for Large-scale Global Place Recognition and Relocalization
Kyeongsu Kang
Minjae Lee
Hyeonwoo Yu
3DPC
27
0
0
11 Mar 2023
IC classifier: a classifier for 3D industrial components based on
  geometric prior using GNN
IC classifier: a classifier for 3D industrial components based on geometric prior using GNN
Zipeng Lin
Zhenguo Nie
24
0
0
10 Mar 2023
DANet: Density Adaptive Convolutional Network with Interactive Attention
  for 3D Point Clouds
DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds
Yong-xing He
Hongshan Yu
Zhengeng Yang
Wei Sun
Mingtao Feng
Ajmal Mian
3DPC
27
7
0
08 Mar 2023
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
Yong-xing He
Hongshan Yu
Zhengeng Yang
Xiaoguang Liu
Wei Sun
Ajmal Mian
ViT
3DPC
14
3
0
08 Mar 2023
GMCR: Graph-based Maximum Consensus Estimation for Point Cloud
  Registration
GMCR: Graph-based Maximum Consensus Estimation for Point Cloud Registration
Michael Gentner
P. Murali
Mohsen Kaboli
3DPC
33
4
0
07 Mar 2023
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation
  via Centrifugal Reference Frame
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame
Yujing Lou
Zelin Ye
Yang You
Nianjuan Jiang
Jiangbo Lu
Weiming Wang
Lizhuang Ma
Cewu Lu
3DPC
44
7
0
06 Mar 2023
Open-Vocabulary Affordance Detection in 3D Point Clouds
Open-Vocabulary Affordance Detection in 3D Point Clouds
Toan Ngyen
Minh Nhat Vu
Annalies Vuong
Dzung Nguyen
T. Vo
Ngan Le
A. Nguyen
3DPC
24
32
0
04 Mar 2023
Neural Intrinsic Embedding for Non-rigid Point Cloud Matching
Neural Intrinsic Embedding for Non-rigid Point Cloud Matching
Puhua Jiang
Min Sun
Ruqi Huang
3DPC
34
9
0
02 Mar 2023
Attention-based Graph Convolution Fusing Latent Structures and Multiple
  Features for Graph Neural Networks
Attention-based Graph Convolution Fusing Latent Structures and Multiple Features for Graph Neural Networks
Yang Li
Yuichi Tanaka
3DPC
26
0
0
02 Mar 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud
  Pre-training
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Ziyu Guo
Renrui Zhang
Longtian Qiu
Xianzhi Li
Pheng-Ann Heng
3DPC
34
52
0
27 Feb 2023
UMIFormer: Mining the Correlations between Similar Tokens for Multi-View
  3D Reconstruction
UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction
Zhenwei Zhu
Liying Yang
Ningchi Li
Chaohao Jiang
Yanyan Liang
27
8
0
27 Feb 2023
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from
  Histological Images
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images
Mark Eastwood
H. Sailem
Silviu Tudor Marc
Xiaohong Gao
J. Offman
...
W. Cookson
M. Moffatt
S. Popat
F. Minhas
J. Robertus
33
1
0
23 Feb 2023
Semantic Segmentation of Urban Textured Meshes Through Point Sampling
Semantic Segmentation of Urban Textured Meshes Through Point Sampling
Grégoire Grzeczkowicz
Bruno Vallet
3DPC
17
5
0
21 Feb 2023
PointFISH -- learning point cloud representations for RNA localization
  patterns
PointFISH -- learning point cloud representations for RNA localization patterns
Arthur Imbert
Florian Müller
Thomas Walter
3DPC
27
2
0
21 Feb 2023
Few-Shot Point Cloud Semantic Segmentation via Contrastive
  Self-Supervision and Multi-Resolution Attention
Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention
Jiahui Wang
H. Zhu
Haoren Guo
Abdullah Al Mamun
Cheng Xiang
T. Lee
3DPC
25
12
0
21 Feb 2023
General Rotation Invariance Learning for Point Clouds via Weight-Feature
  Alignment
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment
Liang Xie
Yibo Yang
Wenxiao Wang
Binbin Lin
Deng Cai
Xiaofei He
Ronghua Liang
3DPC
24
2
0
20 Feb 2023
Deep Learning on Implicit Neural Representations of Shapes
Deep Learning on Implicit Neural Representations of Shapes
Luca de Luigi
Adriano Cardace
Riccardo Spezialetti
Pierluigi Zama Ramirez
Samuele Salti
Luigi Di Stefano
29
46
0
10 Feb 2023
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