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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 / 832 papers shown
Title
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
M. Tomizuka
3DPC
20
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
13
87
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
15
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
22
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
25
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
22
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
24
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
16
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
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric
  SLAM
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM
Ignacio Torroba
Christopher Iliffe Sprague
Nils Bore
John Folkesson
3DPC
22
16
0
24 Mar 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
160
226
0
23 Mar 2020
Learning 3D Part Assembly from a Single Image
Learning 3D Part Assembly from a Single Image
Yichen Li
Kaichun Mo
Lin Shao
Minhyuk Sung
Leonidas J. Guibas
14
68
0
21 Mar 2020
Local Implicit Grid Representations for 3D Scenes
Local Implicit Grid Representations for 3D Scenes
C. Jiang
Avneesh Sud
A. Makadia
Jingwei Huang
Matthias Nießner
Thomas Funkhouser
3DPC
240
558
0
19 Mar 2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation
  of Urban Roadways
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
W. Tan
Nannan Qin
Lingfei Ma
Ying Li
Jing Du
Guorong Cai
Ke Yang
Jonathan Li
3DPC
17
196
0
18 Mar 2020
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding
  Local Region Contexts
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts
Xinhai Liu
Zhizhong Han
Fangzhou Hong
Yu-Shen Liu
Matthias Zwicker
3DPC
16
20
0
18 Mar 2020
Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes
Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes
Ameya Phalak
Vijay Badrinarayanan
Andrew Rabinovich
3DPC
17
14
0
16 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
120
109
0
16 Mar 2020
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene
  Text Detection with Graph Convolutional Networks
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks
Chixiang Ma
Lei-huan Sun
Zhuoyao Zhong
Qiang Huo
33
56
0
16 Mar 2020
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point
  Problem
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem
Liu Liu
Dylan Campbell
Hongdong Li
Dingfu Zhou
Xibin Song
Ruigang Yang
3DPC
3DV
16
21
0
15 Mar 2020
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation
Jiazhao Zhang
Chenyang Zhu
Lintao Zheng
Kai Xu
3DPC
32
61
0
13 Mar 2020
Adaptive Graph Convolutional Network with Attention Graph Clustering for
  Co-saliency Detection
Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
Kaihua Zhang
Tengpeng Li
Shiwen Shen
Bo Liu
Jin Chen
Qingshan Liu
19
96
0
13 Mar 2020
Learning Diverse Fashion Collocation by Neural Graph Filtering
Learning Diverse Fashion Collocation by Neural Graph Filtering
Xin Liu
Yongbin Sun
Ziwei Liu
Dahua Lin
23
26
0
11 Mar 2020
When Deep Learning Meets Data Alignment: A Review on Deep Registration
  Networks (DRNs)
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Victor Villena-Martinez
Sergiu Oprea
Marcelo Saval-Calvo
J. Azorín-López
Andrés Fuster-Guilló
Robert B. Fisher
39
32
0
06 Mar 2020
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
Wei Wang
Bing Wang
Peijun Zhao
Changhao Chen
R. Clark
Bo Yang
Andrew Markham
A. Trigoni
3DPC
25
46
0
05 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
156
737
0
02 Mar 2020
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Xi Yang
Ding Xia
Taichi Kin
Takeo Igarashi
17
71
0
02 Mar 2020
3D Point Cloud Processing and Learning for Autonomous Driving
3D Point Cloud Processing and Learning for Autonomous Driving
Siheng Chen
Baoan Liu
Chen Feng
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
56
164
0
01 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks
  with Adaptive Sampling
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Xu Yan
Chaoda Zheng
Zhuguo Li
Sheng Wang
Shuguang Cui
3DPC
29
544
0
01 Mar 2020
Indoor Scene Recognition in 3D
Indoor Scene Recognition in 3D
Shengyu Huang
Mikhail (Misha) Usvyatsov
Konrad Schindler
3DV
3DPC
16
19
0
28 Feb 2020
Triangle-Net: Towards Robustness in Point Cloud Learning
Triangle-Net: Towards Robustness in Point Cloud Learning
Chenxi Xiao
J. Wachs
3DH
3DPC
31
34
0
27 Feb 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud
  Classification
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
22
145
0
25 Feb 2020
FPConv: Learning Local Flattening for Point Convolution
FPConv: Learning Local Flattening for Point Convolution
Yiqun Lin
Zizheng Yan
Haibin Huang
Dong Du
Ligang Liu
Shuguang Cui
Xiaoguang Han
3DPC
14
145
0
25 Feb 2020
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
Y. Qian
Junhui Hou
Sam Kwong
Ying He
3DPC
22
115
0
24 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
29
90
0
21 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DH
AI4TS
40
100
0
19 Feb 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
14
607
0
19 Feb 2020
Hybrid Graph Neural Networks for Crowd Counting
Hybrid Graph Neural Networks for Crowd Counting
Ao Luo
Fan Yang
Xin Li
Dong Nie
Zhicheng Jiao
Shangchen Zhou
Hong Cheng
28
84
0
31 Jan 2020
Deep Snake for Real-Time Instance Segmentation
Deep Snake for Real-Time Instance Segmentation
Sida Peng
W. Jiang
Huaijin Pi
Xiuli Li
Hujun Bao
Xiaowei Zhou
ISeg
SSeg
37
299
0
06 Jan 2020
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Shaoshuai Shi
Chaoxu Guo
Li Jiang
Zhe Wang
Jianping Shi
Xiaogang Wang
Hongsheng Li
3DPC
38
1,744
0
31 Dec 2019
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
A. Micheli
Marco Podda
AI4CE
GNN
42
276
0
29 Dec 2019
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao
Tolga Birdal
J. E. Lenssen
Emanuele Menegatti
Leonidas J. Guibas
Federico Tombari
3DPC
26
88
0
27 Dec 2019
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature
  Modeling
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Wenkai Han
Chenglu Wen
Cheng-Yu Wang
Xin Li
Qing Li
3DPC
8
93
0
23 Dec 2019
Geometry Sharing Network for 3D Point Cloud Classification and
  Segmentation
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
Mingye Xu
Zhipeng Zhou
Yu Qiao
3DPC
19
92
0
23 Dec 2019
What You See is What You Get: Exploiting Visibility for 3D Object
  Detection
What You See is What You Get: Exploiting Visibility for 3D Object Detection
Peiyun Hu
Jason Ziglar
David Held
Deva Ramanan
3DPC
22
116
0
10 Dec 2019
SampleNet: Differentiable Point Cloud Sampling
SampleNet: Differentiable Point Cloud Sampling
Itai Lang
Asaf Manor
S. Avidan
3DPC
16
163
0
08 Dec 2019
Grid-GCN for Fast and Scalable Point Cloud Learning
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
3DPC
GNN
25
244
0
06 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
Abdullah Hamdi
Sara Rojas
Ali K. Thabet
Guohao Li
AAML
3DPC
28
127
0
01 Dec 2019
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