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 / 935 papers shown
Title
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Haotian Tang
Zhijian Liu
Shengyu Zhao
Yujun Lin
Ji Lin
Hanrui Wang
Song Han
3DPC
39
632
0
31 Jul 2020
Graph signal processing for machine learning: A review and new
  perspectives
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
19
154
0
31 Jul 2020
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation
Mingmei Cheng
Le Hui
Jin Xie
Jian Yang
Hui Kong
3DPC
24
21
0
30 Jul 2020
Differentiable Manifold Reconstruction for Point Cloud Denoising
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo
Wei Hu
3DPC
27
131
0
27 Jul 2020
Differentiable Hierarchical Graph Grouping for Multi-Person Pose
  Estimation
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation
Sheng Jin
Wentao Liu
Enze Xie
Wenhai Wang
Chao Qian
Wanli Ouyang
Ping Luo
3DH
35
126
0
23 Jul 2020
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Kirill Mazur
Victor Lempitsky
3DPC
51
39
0
22 Jul 2020
Learning Part Boundaries from 3D Point Clouds
Learning Part Boundaries from 3D Point Clouds
Marios Loizou
Melinos Averkiou
E. Kalogerakis
3DPC
20
33
0
15 Jul 2020
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D
  Point Clouds
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
Zeyu Hu
Mingmin Zhen
Xuyang Bai
Hongbo Fu
Chiew-Lan Tai
3DPC
32
130
0
14 Jul 2020
Deep Patch-based Human Segmentation
Deep Patch-based Human Segmentation
Dongbo Zhang
Zheng Fang
Xuequan Lu
Hong Qin
A. Robles-Kelly
Chao Zhang
Ying He
3DH
SSeg
23
2
0
11 Jul 2020
Progressive Point Cloud Deconvolution Generation Network
Progressive Point Cloud Deconvolution Generation Network
Le Hui
Rui Xu
Jin Xie
J. Qian
Jian Yang
3DPC
27
72
0
10 Jul 2020
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal
  Shuffled Transformers
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers
Shijie Geng
Peng Gao
Moitreya Chatterjee
Chiori Hori
Jonathan Le Roux
Yongfeng Zhang
Hongsheng Li
A. Cherian
27
11
0
08 Jul 2020
Learning Graph-Convolutional Representations for Point Cloud Denoising
Learning Graph-Convolutional Representations for Point Cloud Denoising
Francesca Pistilli
Giulia Fracastoro
D. Valsesia
E. Magli
3DPC
20
76
0
06 Jul 2020
Local Grid Rendering Networks for 3D Object Detection in Point Clouds
Local Grid Rendering Networks for 3D Object Detection in Point Clouds
Jianan Li
Jiashi Feng
3DPC
11
1
0
04 Jul 2020
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Ze Liu
Han Hu
Yue Cao
Zheng-Wei Zhang
Xin Tong
3DPC
29
181
0
02 Jul 2020
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
Xianzhi Li
Ruihui Li
Lei Zhu
Chi-Wing Fu
Pheng-Ann Heng
AI4CE
33
49
0
28 Jun 2020
Auxiliary Learning by Implicit Differentiation
Auxiliary Learning by Implicit Differentiation
Aviv Navon
Idan Achituve
Haggai Maron
Gal Chechik
Ethan Fetaya
28
59
0
22 Jun 2020
Few-shot 3D Point Cloud Semantic Segmentation
Few-shot 3D Point Cloud Semantic Segmentation
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
37
105
0
22 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
45
666
0
18 Jun 2020
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly
  Representations
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations
Jiahao Pang
Duanshun Li
Dong Tian
3DPC
13
40
0
17 Jun 2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with
  Multi-Feature Learning
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
Xinshuo Weng
Yongxin Wang
Yunze Man
Kris M. Kitani
3DPC
VOT
45
215
0
12 Jun 2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
Zaiwei Zhang
Bo Sun
Haitao Yang
Qi-Xing Huang
3DPC
20
195
0
10 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
19
25
0
08 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
34
215
0
05 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information
  Maximization and Contrastive Learning
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning
Aditya Sanghi
3DPC
SSL
11
101
0
04 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
28
69
0
02 Jun 2020
NENET: An Edge Learnable Network for Link Prediction in Scene Text
NENET: An Edge Learnable Network for Link Prediction in Scene Text
M. Singh
Sayan Banerjee
S. Chaudhuri
21
1
0
25 May 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
Kibok Lee
Zhuoyuan Chen
Xinchen Yan
R. Urtasun
Ersin Yumer
3DPC
23
30
0
24 May 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Ying Li
Lingfei Ma
Zilong Zhong
Fei Liu
Dongpu Cao
Jonathan Li
M. Chapman
3DPC
44
390
0
20 May 2020
Dense-Resolution Network for Point Cloud Classification and Segmentation
Dense-Resolution Network for Point Cloud Classification and Segmentation
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
24
94
0
14 May 2020
Geometric graphs from data to aid classification tasks with graph
  convolutional networks
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
GNN
25
9
0
08 May 2020
Point Cloud Completion by Skip-attention Network with Hierarchical
  Folding
Point Cloud Completion by Skip-attention Network with Hierarchical Folding
Xin Wen
Tianyang Li
Zhizhong Han
Yu-Shen Liu
3DPC
30
241
0
08 May 2020
Deep Learning on Point Clouds for False Positive Reduction at Nodule
  Detection in Chest CT Scans
Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans
I. Drokin
Elena Ericheva
3DPC
22
8
0
07 May 2020
RigNet: Neural Rigging for Articulated Characters
RigNet: Neural Rigging for Articulated Characters
Zhan Xu
Yang Zhou
E. Kalogerakis
Chris Landreth
Karan Singh
3DH
30
51
0
01 May 2020
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person
  Detection in 2D Range Data
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
Dan Jia
Alexander Hermans
Bastian Leibe
3DPC
28
37
0
29 Apr 2020
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive
  Class Weighting Loss for Semantic Segmentation
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
SSL
27
35
0
21 Apr 2020
Facial Action Unit Intensity Estimation via Semantic Correspondence
  Learning with Dynamic Graph Convolution
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
Yingruo Fan
J. Lam
V. Li
16
49
0
20 Apr 2020
DAPnet: A Double Self-attention Convolutional Network for Point Cloud
  Semantic Labeling
DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling
Li Chen
Zewei Xu
Qing Zhu
Haozhe Huang
Shaowen Wang
Haifeng Li
3DPC
25
12
0
18 Apr 2020
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer
  Labels
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels
Xun Xu
Gim Hee Lee
3DPC
19
93
0
08 Apr 2020
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud
  Segmentation
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
Chenfeng Xu
Bichen Wu
Zining Wang
Wei Zhan
Peter Vajda
Kurt Keutzer
Masayoshi Tomizuka
3DPC
33
353
0
03 Apr 2020
Learning to Cluster Faces via Confidence and Connectivity Estimation
Learning to Cluster Faces via Confidence and Connectivity Estimation
Lei Yang
Dapeng Chen
Xiaohang Zhan
Rui Zhao
Chen Change Loy
Dahua Lin
3DH
GNN
CVBM
15
88
0
01 Apr 2020
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds
  Semantic Segmentation
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang
Zixiang Zhou
P. David
Xiangyu Yue
Zerong Xi
Boqing Gong
H. Foroosh
3DPC
20
452
0
31 Mar 2020
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
Francis Engelmann
M. Bokeloh
Alireza Fathi
Bastian Leibe
Matthias Nießner
3DPC
27
213
0
30 Mar 2020
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
26
45
0
30 Mar 2020
RPM-Net: Robust Point Matching using Learned Features
RPM-Net: Robust Point Matching using Learned Features
Zi Jian Yew
Gim Hee Lee
3DPC
20
434
0
30 Mar 2020
PointGMM: a Neural GMM Network for Point Clouds
PointGMM: a Neural GMM Network for Point Clouds
Amir Hertz
Rana Hanocka
Raja Giryes
Daniel Cohen-Or
3DPC
33
65
0
30 Mar 2020
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Idan Achituve
Haggai Maron
Gal Chechik
3DPC
35
160
0
29 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
33
130
0
29 Mar 2020
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
A. Avetisyan
T. Khanova
Chris Choy
D. Dash
Angela Dai
Matthias Nießner
3DPC
29
63
0
27 Mar 2020
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
Gopal Sharma
Difan Liu
Subhransu Maji
E. Kalogerakis
S. Chaudhuri
Radomír Mvech
3DPC
24
138
0
26 Mar 2020
Tractogram filtering of anatomically non-plausible fibers with geometric
  deep learning
Tractogram filtering of anatomically non-plausible fibers with geometric deep learning
Pietro Astolfi
R. Verhagen
Laurent Petit
E. Olivetti
Jonathan Masci
Davide Boscaini
P. Avesani
MedIm
8
24
0
24 Mar 2020
Previous
123...1516171819
Next