ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1801.07829
  4. Cited By
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
ArXivPDFHTML

Papers citing "Dynamic Graph CNN for Learning on Point Clouds"

50 / 870 papers shown
Title
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
Planning with Learned Dynamic Model for Unsupervised Point Cloud
  Registration
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
Haobo Jiang
Jin Xie
J. Qian
Jian Yang
3DPC
23
10
0
05 Aug 2021
Skeleton Cloud Colorization for Unsupervised 3D Action Representation
  Learning
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
Siyuan Yang
Jun Liu
Shijian Lu
Meng Hwa Er
Alex C. Kot
3DH
3DPC
38
91
0
04 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by
  Partial Differential Equations
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof
E. Haber
Eran Treister
GNN
AI4CE
39
122
0
04 Aug 2021
Learning with Noisy Labels for Robust Point Cloud Segmentation
Learning with Noisy Labels for Robust Point Cloud Segmentation
Shuquan Ye
Dongdong Chen
Songfang Han
Jing Liao
3DPC
31
51
0
29 Jul 2021
Unsupervised Segmentation for Terracotta Warrior with
  Seed-Region-Growing CNN (SRG-Net)
Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN (SRG-Net)
Yao Hu
Guohua Geng
Kang Li
Wei Zhou
Xingxing Hao
Xin Cao
32
2
0
28 Jul 2021
Dense Supervision Propagation for Weakly Supervised Semantic
  Segmentation on 3D Point Clouds
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds
Jiacheng Wei
Guosheng Lin
Kim-Hui Yap
Fayao Liu
Tzu-Yi Hung
3DPC
22
12
0
23 Jul 2021
Score-Based Point Cloud Denoising
Score-Based Point Cloud Denoising
Shitong Luo
Wei Hu
DiffM
30
156
0
23 Jul 2021
Joint Implicit Image Function for Guided Depth Super-Resolution
Joint Implicit Image Function for Guided Depth Super-Resolution
Jiaxiang Tang
Xiaokang Chen
Gang Zeng
SupR
21
59
0
19 Jul 2021
Point-Cloud Deep Learning of Porous Media for Permeability Prediction
Point-Cloud Deep Learning of Porous Media for Permeability Prediction
Ali Kashefi
T. Mukerji
3DPC
AI4CE
17
34
0
18 Jul 2021
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point
  Clouds
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
Shuang Deng
Qiulei Dong
Bo Liu
Zhanyi Hu
3DPC
19
27
0
08 Jul 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
15
81
0
05 Jul 2021
Graph Signal Restoration Using Nested Deep Algorithm Unrolling
Graph Signal Restoration Using Nested Deep Algorithm Unrolling
Masatoshi Nagahama
Koki Yamada
Yuichi Tanaka
Stanley H. Chan
Yonina C. Eldar
24
18
0
30 Jun 2021
Learning without Forgetting for 3D Point Cloud Objects
Learning without Forgetting for 3D Point Cloud Objects
T. Chowdhury
Mahira Jalisha
A. Cheraghian
Shafin Rahman
3DPC
29
9
0
27 Jun 2021
Shape registration in the time of transformers
Shape registration in the time of transformers
Giovanni Trappolini
Luca Cosmo
Luca Moschella
R. Marin
Simone Melzi
Emanuele Rodolà
ViT
3DPC
MedIm
37
56
0
25 Jun 2021
To the Point: Efficient 3D Object Detection in the Range Image with
  Graph Convolution Kernels
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
Yuning Chai
Pei Sun
Jiquan Ngiam
Weiyue Wang
Benjamin Caine
Vijay Vasudevan
Xiao Zhang
Drago Anguelov
3DPC
34
66
0
25 Jun 2021
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape
  Regions with Approximate Inference
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference
R. K. Jones
Aalia Habib
Rana Hanocka
Brown University
17
9
0
22 Jun 2021
Particle Cloud Generation with Message Passing Generative Adversarial
  Networks
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Raghav Kansal
Javier Mauricio Duarte
Haoran Su
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopulos
27
75
0
22 Jun 2021
Robust Pooling through the Data Mode
Robust Pooling through the Data Mode
Ayman Mukhaimar
Ruwan Tennakoon
Chow Yin Lai
R. Hoseinnezhad
A. Bab-Hadiashar
3DPC
3DV
OOD
24
3
0
21 Jun 2021
3D Object Detection for Autonomous Driving: A Survey
3D Object Detection for Autonomous Driving: A Survey
Rui Qian
Xin Lai
Xirong Li
3DPC
35
318
0
21 Jun 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One
  Go
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
Marvin Eisenberger
David Novotny
Gael Kerchenbaum
Patrick Labatut
Natalia Neverova
Daniel Cremers
Andrea Vedaldi
3DH
3DPC
15
67
0
17 Jun 2021
EdgeConv with Attention Module for Monocular Depth Estimation
EdgeConv with Attention Module for Monocular Depth Estimation
Minhyeok Lee
Sangwon Hwang
Chaewon Park
Sangyoun Lee
MDE
3DPC
13
17
0
16 Jun 2021
Training Graph Neural Networks with 1000 Layers
Training Graph Neural Networks with 1000 Layers
Guohao Li
Matthias Muller
Guohao Li
V. Koltun
GNN
AI4CE
51
235
0
14 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the
  Assortativity of Graphs with Local Mixing Patterns
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh
Vinith Budde
Jennifer Neville
Pan Li
Jianzhu Ma
32
131
0
11 Jun 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective
  Baseline
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Jia Deng
3DPC
35
229
0
09 Jun 2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation
  and Tracking
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
Yiding Yang
Zhou Ren
Haoxiang Li
Chunluan Zhou
Xinchao Wang
G. Hua
3DH
19
66
0
07 Jun 2021
Shape As Points: A Differentiable Poisson Solver
Shape As Points: A Differentiable Poisson Solver
Songyou Peng
C. Jiang
Yiyi Liao
Michael Niemeyer
Marc Pollefeys
Andreas Geiger
3DPC
21
233
0
07 Jun 2021
A Survey on Deep Domain Adaptation for LiDAR Perception
A Survey on Deep Domain Adaptation for LiDAR Perception
Larissa T. Triess
M. Dreissig
Christoph B. Rist
J. Marius Zöllner
42
66
0
04 Jun 2021
Subdivision-Based Mesh Convolution Networks
Subdivision-Based Mesh Convolution Networks
Shimin Hu
Zheng-Ning Liu
Meng-Hao Guo
Junxiong Cai
Jiahui Huang
Tai-Jiang Mu
Ralph Robert Martin
3DV
24
121
0
04 Jun 2021
DLA-Net: Learning Dual Local Attention Features for Semantic
  Segmentation of Large-Scale Building Facade Point Clouds
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds
Yanfei Su
Weiquan Liu
Zhimin Yuan
Ming Cheng
Zhihong Zhang
Xuelun Shen
Cheng-Yu Wang
3DPC
20
38
0
01 Jun 2021
Local Latent Representation based on Geometric Convolution for Particle
  Data Feature Exploration
Local Latent Representation based on Geometric Convolution for Particle Data Feature Exploration
Haoyu Li
Han-Wei Shen
3DPC
19
2
0
27 May 2021
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning
  Models with Varied Molecular Representations
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations
G. Panapitiya
Michael Girard
Aaron Hollas
V. Murugesan
Wei Wang
Emily Saldanha
21
46
0
26 May 2021
HPNet: Deep Primitive Segmentation Using Hybrid Representations
HPNet: Deep Primitive Segmentation Using Hybrid Representations
Siming Yan
Zhenpei Yang
Chongyang Ma
Haibin Huang
E. Vouga
Qi-Xing Huang
3DV
3DPC
19
41
0
22 May 2021
Direct Prediction of Steady-State Flow Fields in Meshed Domain with
  Graph Networks
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks
Lukas Harsch
S. Riedelbauch
AI4CE
59
12
0
06 May 2021
Point Cloud Audio Processing
Point Cloud Audio Processing
Krishna Subramani
Paris Smaragdis
3DPC
20
4
0
06 May 2021
Beyond Self-attention: External Attention using Two Linear Layers for
  Visual Tasks
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
Meng-Hao Guo
Zheng-Ning Liu
Tai-Jiang Mu
Shimin Hu
25
472
0
05 May 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
151
283
0
04 May 2021
Current Status and Performance Analysis of Table Recognition in Document
  Images with Deep Neural Networks
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks
K. Hashmi
Marcus Liwicki
D. Stricker
Muhammad Adnan Afzal
Muhammad Ahtsham Afzal
Muhammad Zeshan Afzal
LMTD
40
48
0
29 Apr 2021
Unsupervised 3D Shape Completion through GAN Inversion
Unsupervised 3D Shape Completion through GAN Inversion
Junzhe Zhang
Xinyi Chen
Zhongang Cai
Liang Pan
Haiyu Zhao
Shuai Yi
C. Yeo
Bo Dai
Chen Change Loy
3DPC
18
113
0
27 Apr 2021
Dual Transformer for Point Cloud Analysis
Dual Transformer for Point Cloud Analysis
Xian-Feng Han
Yi-Fei Jin
Hui Cheng
Guoqiang Xiao
ViT
36
73
0
27 Apr 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
111
316
0
25 Apr 2021
3D Adversarial Attacks Beyond Point Cloud
3D Adversarial Attacks Beyond Point Cloud
Jinlai Zhang
Lyujie Chen
Binbin Liu
Bojun Ouyang
Qizhi Xie
Jihong Zhu
Weiming Li
Yanmei Meng
3DPC
21
38
0
25 Apr 2021
Mini-batch graphs for robust image classification
Mini-batch graphs for robust image classification
Arnab Kumar Mondal
V. Jain
K. Siddiqi
OOD
41
6
0
22 Apr 2021
Improvement of Normal Estimation for PointClouds via Simplifying Surface
  Fitting
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting
Jun Zhou
Wei Jin
Mingjie Wang
Xiuping Liu
Zhiyang Li
Zhaobin Liu
3DPC
25
19
0
21 Apr 2021
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection
Salman Khan
Fabio Cuzzolin
3DPC
51
5
0
16 Apr 2021
A Backdoor Attack against 3D Point Cloud Classifiers
A Backdoor Attack against 3D Point Cloud Classifiers
Zhen Xiang
David J. Miller
Siheng Chen
Xi Li
G. Kesidis
3DPC
AAML
28
76
0
12 Apr 2021
View-Guided Point Cloud Completion
View-Guided Point Cloud Completion
Xuancheng Zhang
Yutong Feng
Siqi Li
C. Zou
Hai Wan
Xibin Zhao
Yandong Guo
Yue Gao
3DPC
15
64
0
12 Apr 2021
Zero-Shot Learning on 3D Point Cloud Objects and Beyond
Zero-Shot Learning on 3D Point Cloud Objects and Beyond
A. Cheraghian
Shafin Rahman
T. Chowdhury
Dylan Campbell
L. Petersson
3DPC
19
58
0
11 Apr 2021
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point
  Clouds
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
Qingyong Hu
Bo Yang
Guangchi Fang
Yulan Guo
A. Leonardis
Niki Trigoni
Andrew Markham
3DPC
39
118
0
11 Apr 2021
Field Convolutions for Surface CNNs
Field Convolutions for Surface CNNs
Thomas W. Mitchel
Vladimir G. Kim
Michael Kazhdan
21
19
0
08 Apr 2021
Previous
123...111213...161718
Next