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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 / 838 papers shown
Title
Image-based Geolocalization by Ground-to-2.5D Map Matching
Image-based Geolocalization by Ground-to-2.5D Map Matching
Mengjie Zhou
Liu Liu
Yiran Zhong
Andrew Calway
29
3
0
11 Aug 2023
Local Consensus Enhanced Siamese Network with Reciprocal Loss for
  Two-view Correspondence Learning
Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning
Linbo Wang
Jing Wu
Xianyong Fang
Zhengyi Liu
Chenjie Cao
Yanwei Fu
18
1
0
06 Aug 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided
  Enhancement
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement
Zhen-Hu Ning
Zhuotao Tian
Guangming Lu
Wenjie Pei
3DPC
26
14
0
06 Aug 2023
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic
  Segmentation
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation
Yiyang Chen
Shanshan Zhao
Changxing Ding
Liyao Tang
Chaoyue Wang
Dacheng Tao
3DPC
29
2
0
05 Aug 2023
PVG: Progressive Vision Graph for Vision Recognition
PVG: Progressive Vision Graph for Vision Recognition
Jiafu Wu
Jian Li
Jiangning Zhang
Boshen Zhang
M. Chi
Yabiao Wang
Chengjie Wang
ViT
25
12
0
01 Aug 2023
Deep Learning and Computer Vision for Glaucoma Detection: A Review
Deep Learning and Computer Vision for Glaucoma Detection: A Review
Mona Ashtari-Majlan
Mohammad Mahdi Dehshibi
David Masip
34
9
0
31 Jul 2023
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss
  for Outdoor LiDAR Point Cloud Segmentation
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation
A. Kuriyal
Vaibhav Kumar
B. Lohani
3DPC
21
1
0
27 Jul 2023
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution
  for Medical Image Classification
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification
Aryan Singh
Pepijn Van de Ven
Ciarán Eising
Patrick Denny
GNN
19
2
0
24 Jul 2023
SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and
  Multi-View for 3D Object Retrieval
SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval
Dongyun Lin
Yi Cheng
Aiyuan Guo
Shangbo Mao
Yiqun Li
3DPC
22
8
0
20 Jul 2023
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on
  Multi-Scan 3D Point Clouds
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
Jiahui Liu
Chirui Chang
Jianhui Liu
Xiaoyang Wu
Lan Ma
Xiaojuan Qi
3DPC
42
17
0
18 Jul 2023
Privacy-Utility Trade-offs in Neural Networks for Medical Population
  Graphs: Insights from Differential Privacy and Graph Structure
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure
Tamara T. Mueller
Maulik Chevli
Ameya Daigavane
Daniel Rueckert
Georgios Kaissis
27
0
0
13 Jul 2023
Self-supervised adversarial masking for 3D point cloud representation
  learning
Self-supervised adversarial masking for 3D point cloud representation learning
Michal Szachniewicz
Wojciech Kozlowski
Michal Stypulkowski
Maciej Ziȩba
3DPC
16
2
0
11 Jul 2023
Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and
  Wound Face Regeneration Approach
Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach
Duong Q. Nguyen
Thinh D. Le
P. D. Nguyen
Nga T.K. Le
H. Nguyen-Xuan
26
4
0
04 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey
Hanieh Naderi
Ivan V. Bajić
3DPC
31
7
0
01 Jul 2023
Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph
  Neural Networks
Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks
Benjamin Zalatan
Maryam Rahnemoonfar
AI4CE
32
4
0
22 Jun 2023
Evolving Computation Graphs
Evolving Computation Graphs
Andreea Deac
Jian Tang
22
1
0
22 Jun 2023
3D Keypoint Estimation Using Implicit Representation Learning
3D Keypoint Estimation Using Implicit Representation Learning
Xiangyu Zhu
Dong Du
Haibin Huang
Chongyang Ma
Xiaoguang Han
3DH
3DPC
21
1
0
20 Jun 2023
ExpPoint-MAE: Better interpretability and performance for
  self-supervised point cloud transformers
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers
Ioannis Romanelis
Vlassis Fotis
Konstantinos Moustakas
Adrian Munteanu
ViT
3DPC
21
4
0
19 Jun 2023
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle
  Designs
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs
Adam D. Cobb
Anirban Roy
Daniel Elenius
F. M. Heim
Brian Swenson
...
Theodore Bapty
Joseph Hite
K. Ramani
Christopher McComb
Susmit Jha
20
7
0
08 Jun 2023
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based
  on Graph Convolutional Neural Networks
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks
Sara Monji-Azad
Marvin Kinz
Jurgen Hesser
3DPC
27
1
0
07 Jun 2023
A2B: Anchor to Barycentric Coordinate for Robust Correspondence
A2B: Anchor to Barycentric Coordinate for Robust Correspondence
Weiyue Zhao
Hao Lu
Zhiguo Cao
Xin Li
24
4
0
05 Jun 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
38
18
0
31 May 2023
GMSF: Global Matching Scene Flow
GMSF: Global Matching Scene Flow
Yushan Zhang
Johan Edstedt
Bastian Wandt
Per-Erik Forssén
Maria Magnusson
M. Felsberg
35
9
0
27 May 2023
All Points Matter: Entropy-Regularized Distribution Alignment for
  Weakly-supervised 3D Segmentation
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
28
12
0
25 May 2023
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image
Bowen Hu
Baiying Lei
Sibo Qiao
Hieu Pham
Shuqiang Wang
Michael Kwok-Po Ng
3DPC
3DV
50
0
0
22 May 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World
  Understanding
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Minghua Liu
Ruoxi Shi
Kaiming Kuang
Yinhao Zhu
Xuanlin Li
Shizhong Han
H. Cai
Fatih Porikli
Hao Su
3DPC
36
116
0
18 May 2023
Transcending Grids: Point Clouds and Surface Representations Powering
  Neurological Processing
Transcending Grids: Point Clouds and Surface Representations Powering Neurological Processing
Kishore Babu Nampalle
Pradeep Singh
Vivek Narayan Uppala
Sumit Gangwar
Raj S Negi
Balasubramanian Raman
21
1
0
17 May 2023
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud
  Segmentation in the Geosciences
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences
Ahmed J. Afifi
Samuel T. Thiele
Aldino Rizaldy
S. Lorenz
Pedram Ghamisi
R. Tolosana-Delgado
M. Kirsch
R. Gloaguen
M. Heizmann
3DPC
32
9
0
17 May 2023
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point
  Cloud Pre-Training
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
Xiaoyu Tian
Haoxi Ran
Yue Wang
Hang Zhao
3DPC
ViT
29
38
0
15 May 2023
A graph convolutional autoencoder approach to model order reduction for
  parametrized PDEs
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs
F. Pichi
B. Moya
J. Hesthaven
AI4CE
35
52
0
15 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
35
0
0
13 May 2023
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
31
0
0
11 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
8
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
29
12
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
22
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
19
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
45
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
38
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
42
3
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
26
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
51
141
0
11 Apr 2023
Self-Ordering Point Clouds
Self-Ordering Point Clouds
Pengwan Yang
Cees G. M. Snoek
Yuki M. Asano
SSL
3DPC
16
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
27
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
Hongyuan Zhu
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
Hongyuan Zhu
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
27
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
48
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
19
1
0
31 Mar 2023
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