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A Graph-CNN for 3D Point Cloud Classification

A Graph-CNN for 3D Point Cloud Classification

28 November 2018
Yingxue Zhang
Michael G. Rabbat
    3DPC
ArXivPDFHTML

Papers citing "A Graph-CNN for 3D Point Cloud Classification"

50 / 59 papers shown
Title
MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling
MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling
Sai Tarun Inaganti
Gennady Petrenko
Mamba
74
1
0
25 Jan 2025
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models
Hamidreza Dastmalchi
Aijun An
A. Cheraghian
Shafin Rahman
Sameera Ramasinghe
DiffM
TTA
79
1
0
21 Nov 2024
No-Reference Point Cloud Quality Assessment via Graph Convolutional
  Network
No-Reference Point Cloud Quality Assessment via Graph Convolutional Network
Wu Chen
Qiuping Jiang
Wei Zhou
F. Shao
Guangtao Zhai
Weisi Lin
3DPC
39
0
0
12 Nov 2024
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via
  Training-free Adaptor
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor
Sahar Ahmadi
A. Cheraghian
Morteza Saberi
Md. Towsif Abir
Hamidreza Dastmalchi
Farookh Hussain
Shafin Rahman
3DPC
26
2
0
11 Oct 2024
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud
  Registration
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration
Xueyang Kang
Zhaoliang Luan
Kourosh Khoshelham
Bing Wang
3DPC
34
0
0
08 Oct 2024
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for
  Classification and Segmentation
Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation
Zihao Li
Pan Gao
Kang-Soo You
Chuan Yan
Manoranjan Paul
3DPC
29
0
0
12 Jul 2024
Advancements in Point Cloud-Based 3D Defect Detection and Classification
  for Industrial Systems: A Comprehensive Survey
Advancements in Point Cloud-Based 3D Defect Detection and Classification for Industrial Systems: A Comprehensive Survey
Anju Rani
D. O. Arroyo
Petar Durdevic
3DPC
19
5
0
20 Feb 2024
Improving Video Violence Recognition with Human Interaction Learning on
  3D Skeleton Point Clouds
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds
Yukun Su
Guosheng Lin
Qingyao Wu
3DH
3DPC
24
3
0
26 Aug 2023
Subspace-Configurable Networks
Subspace-Configurable Networks
Dong Wang
O. Saukh
Xiaoxi He
Lothar Thiele
OOD
30
0
0
22 May 2023
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
Yiming Cui
Lecheng Ruan
Hang Dong
Qiang Li
Zhongming Wu
T. Zeng
Fengyu Fan
3DPC
33
0
0
13 May 2023
Urban GeoBIM construction by integrating semantic LiDAR point clouds
  with as-designed BIM models
Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models
Jie Shao
W. Yao
Puzuo Wang
Zhiyi He
Lei Luo
AI4CE
3DPC
9
5
0
23 Apr 2023
PointCAT: Cross-Attention Transformer for point cloud
PointCAT: Cross-Attention Transformer for point cloud
Xincheng Yang
Mingze Jin
Weiji He
Qian Chen
3DPC
ViT
19
3
0
06 Apr 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
16
0
0
02 Mar 2023
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
Cheng Wen
Jia-Li Long
B. Yu
Dacheng Tao
3DPC
35
7
0
10 Feb 2023
Learning Latent Part-Whole Hierarchies for Point Clouds
Learning Latent Part-Whole Hierarchies for Point Clouds
Xiang Gao
Wei Hu
Renjie Liao
3DPC
35
0
0
14 Nov 2022
Geometry-Complete Perceptron Networks for 3D Molecular Graphs
Geometry-Complete Perceptron Networks for 3D Molecular Graphs
Alex Morehead
Jianlin Cheng
GNN
3DV
AI4CE
26
12
0
04 Nov 2022
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp
  Detection
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection
Hao-zhe Huang
Dian Wang
Xu Zhu
Robin G. Walters
Robert W. Platt
3DPC
13
35
0
31 Oct 2022
SageMix: Saliency-Guided Mixup for Point Clouds
SageMix: Saliency-Guided Mixup for Point Clouds
S. Lee
Minkyu Jeon
In-Ho Kim
Yunyang Xiong
Hyunwoo J. Kim
3DPC
29
27
0
13 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViT
MedIm
AI4CE
27
73
0
27 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping
A Simple Strategy to Provable Invariance via Orbit Mapping
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
AAML
3DPC
18
3
0
24 Sep 2022
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D
  Trees
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees
Jun-Kun Chen
Yu-xiong Wang
3DPC
12
2
0
11 Aug 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
23
17
0
30 May 2022
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point
  Cloud
PSNet: Fast Data Structuring for Hierarchical Deep Learning on Point Cloud
Luyang Li
Ligang He
Jinjin Gao
Xie Han
3DPC
13
20
0
30 May 2022
Active Learning for Point Cloud Semantic Segmentation via
  Spatial-Structural Diversity Reasoning
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning
Feifei Shao
Yawei Luo
Ping Liu
Jie Chen
Yezhou Yang
Yulei Lu
Junhao Xiao
3DPC
24
31
0
25 Feb 2022
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Yang Li
Yuichi Tanaka
21
3
0
03 Dec 2021
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point
  Clouds
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
R. Wiersma
Ahmad Nasikun
E. Eisemann
Klaus Hildebrandt
3DPC
19
16
0
16 Nov 2021
DRINet++: Efficient Voxel-as-point Point Cloud Segmentation
DRINet++: Efficient Voxel-as-point Point Cloud Segmentation
Maosheng Ye
Rui Wan
Shuangjie Xu
Tongyi Cao
Qifeng Chen
3DPC
15
26
0
16 Nov 2021
Learning Inner-Group Relations on Point Clouds
Learning Inner-Group Relations on Point Clouds
Haoxi Ran
Wei Zhuo
J. Liu
Li Lu
3DPC
33
59
0
27 Aug 2021
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
U. Demir
Atahan Ozer
Y. Sahin
Gözde B. Ünal
22
3
0
06 Aug 2021
Self-Contrastive Learning with Hard Negative Sampling for
  Self-supervised Point Cloud Learning
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
Bianli Du
Xiang Gao
Wei Hu
Xin Li
3DPC
SSL
10
81
0
05 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
52
94
0
01 Jul 2021
Training or Architecture? How to Incorporate Invariance in Neural
  Networks
Training or Architecture? How to Incorporate Invariance in Neural Networks
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
3DPC
OOD
17
9
0
18 Jun 2021
VA-GCN: A Vector Attention Graph Convolution Network for learning on
  Point Clouds
VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds
Haotian Hu
Fanyi Wang
Huixiao Le
3DPC
15
2
0
01 Jun 2021
SN-Graph: a Minimalist 3D Object Representation for Classification
SN-Graph: a Minimalist 3D Object Representation for Classification
Siyu Zhang
H. Cao
Yuqi Liu
Shen Cai
Yanting Zhang
Yuanzhan Li
Xiaoyu Chi
3DH
3DPC
18
5
0
31 May 2021
Point Cloud Audio Processing
Point Cloud Audio Processing
Krishna Subramani
Paris Smaragdis
3DPC
20
4
0
06 May 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
24
6
0
01 Mar 2021
Point Cloud Upsampling and Normal Estimation using Deep Learning for
  Robust Surface Reconstruction
Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
Rajat Sharma
Tobias Schwandt
Christian Kunert
Steffen Urban
W. Broll
3DPC
20
19
0
26 Feb 2021
Spatio-temporal Graph-RNN for Point Cloud Prediction
Spatio-temporal Graph-RNN for Point Cloud Prediction
Pedro Gomes
Silvia Rossi
Laura Toni
3DPC
GNN
21
14
0
15 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
148
74
0
03 Feb 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
34
24
0
02 Jan 2021
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene
  Understanding
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding
Saqib Ali Khan
Yilei Shi
Muhammad Shahzad
Xiaoxiang Zhu
3DPC
3DV
11
0
0
29 Nov 2020
Deeper or Wider Networks of Point Clouds with Self-attention?
Haoxi Ran
Li Lu
3DPC
22
1
0
29 Nov 2020
Recalibration of Neural Networks for Point Cloud Analysis
Recalibration of Neural Networks for Point Cloud Analysis
Ignacio Sarasua
Sebastian Polsterl
Christian Wachinger
3DPC
21
1
0
25 Nov 2020
PointManifold: Using Manifold Learning for Point Cloud Classification
PointManifold: Using Manifold Learning for Point Cloud Classification
Dinghao Yang
Wei Gao
3DPC
23
4
0
14 Oct 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point
  Cloud
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
Seohyun Kim
Jaeyoo Park
Bohyung Han
3DPC
24
75
0
07 Oct 2020
Graph Signal Processing for Geometric Data and Beyond: Theory and
  Applications
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu
Jiahao Pang
Xianming Liu
Dong Tian
Chia-Wen Lin
A. Vetro
21
62
0
05 Aug 2020
Point Set Voting for Partial Point Cloud Analysis
Point Set Voting for Partial Point Cloud Analysis
Junming Zhang
Weijia Chen
Yuping Wang
Ram Vasudevan
Matthew Johnson-Roberson
3DPC
17
32
0
09 Jul 2020
A Semi-Supervised Assessor of Neural Architectures
A Semi-Supervised Assessor of Neural Architectures
Yehui Tang
Yunhe Wang
Yixing Xu
Hanting Chen
Chunjing Xu
Boxin Shi
Chao Xu
Qi Tian
Chang Xu
11
67
0
14 May 2020
Triangle-Net: Towards Robustness in Point Cloud Learning
Triangle-Net: Towards Robustness in Point Cloud Learning
Chenxi Xiao
J. Wachs
3DH
3DPC
29
34
0
27 Feb 2020
Deep Learning for 3D Point Clouds: A Survey
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo
Hanyun Wang
Qingyong Hu
Hao Liu
Li Liu
Bennamoun
3DPC
27
1,642
0
27 Dec 2019
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