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PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
v1v2 (latest)

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

2 December 2016
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
    3DH3DPC3DVPINN
ArXiv (abs)PDFHTML

Papers citing "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation"

38 / 5,538 papers shown
Title
Semantic Photometric Bundle Adjustment on Natural Sequences
Semantic Photometric Bundle Adjustment on Natural Sequences
Rui Zhu
Chaoyang Wang
Chen-Hsuan Lin
Ziyan Wang
Simon Lucey
77
6
0
30 Nov 2017
Paris-Lille-3D: a large and high-quality ground truth urban point cloud
  dataset for automatic segmentation and classification
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification
Xavier Roynard
Jean-Emmanuel Deschaud
F. Goulette
3DPC3DV
97
283
0
30 Nov 2017
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds
  Using Local and Global Contextual Cues
3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues
Wei Zeng
Theo Gevers
3DPC3DV
78
72
0
30 Nov 2017
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
Danfei Xu
Dragomir Anguelov
Ashesh Jain
3DPC
134
649
0
29 Nov 2017
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction
J. K. Pontes
Chen Kong
Sridha Sridharan
Simon Lucey
Anders P. Eriksson
Clinton Fookes
3DV
106
129
0
29 Nov 2017
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham
Martin Engelcke
Laurens van der Maaten
3DPC
254
1,527
0
28 Nov 2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu
M. Simonovsky
GNN3DPC
231
1,261
0
27 Nov 2017
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance
  Segmentation
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
Weiyue Wang
Ronald Yu
Qiangui Huang
Ulrich Neumann
3DPC
140
555
0
23 Nov 2017
Frustum PointNets for 3D Object Detection from RGB-D Data
Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi
Wen Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3DPC
246
2,278
0
22 Nov 2017
3D Point Cloud Classification and Segmentation using 3D Modified Fisher
  Vector Representation for Convolutional Neural Networks
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks
Yizhak Ben-Shabat
M. Lindenbaum
A. Fischer
3DPC
98
70
0
22 Nov 2017
Neural 3D Mesh Renderer
Neural 3D Mesh Renderer
Hiroharu Kato
Yoshitaka Ushiku
Tatsuya Harada
3DV
183
1,054
0
20 Nov 2017
Adversarial Attacks Beyond the Image Space
Adversarial Attacks Beyond the Image Space
Fangyin Wei
Chenxi Liu
Yu-Siang Wang
Weichao Qiu
Lingxi Xie
Yu-Wing Tai
Chi-Keung Tang
Alan Yuille
AAML
141
150
0
20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
201
517
0
17 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
Oncel Tuzel
3DPC
261
3,773
0
17 Nov 2017
Learning to Find Good Correspondences
Learning to Find Good Correspondences
K. M. Yi
Eduard Trulls
Y. Ono
Vincent Lepetit
Mathieu Salzmann
Pascal Fua
3DV
125
483
0
16 Nov 2017
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for
  Semantic Segmentation
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for Semantic Segmentation
Géraldin Nanfack
Azeddine Elhassouny
Rachid Oulad Haj Thami
SSeg
150
23
0
15 Nov 2017
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior
Rui Zhu
Chaoyang Wang
Chen-Hsuan Lin
Ziyan Wang
Simon Lucey
3DPC
90
18
0
04 Nov 2017
SEGCloud: Semantic Segmentation of 3D Point Clouds
SEGCloud: Semantic Segmentation of 3D Point Clouds
Lyne P. Tchapmi
Chris Choy
Iro Armeni
JunYoung Gwak
Silvio Savarese
3DPC
149
756
0
20 Oct 2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet
  Core55
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55
L. Yi
Lin Shao
Manolis Savva
Haibin Huang
Yang Zhou
...
Silvio Savarese
Pat Hanrahan
Thomas Funkhouser
Hao Su
Leonidas Guibas
3DV
107
66
0
17 Oct 2017
A Fully Convolutional Network for Semantic Labeling of 3D Point Clouds
A Fully Convolutional Network for Semantic Labeling of 3D Point Clouds
Mohammed A. Yousefhussien
D. Kelbe
Emmett Ientilucci
C. Salvaggio
3DPC
60
46
0
03 Oct 2017
Wide and deep volumetric residual networks for volumetric image
  classification
Wide and deep volumetric residual networks for volumetric image classification
Varun Arvind
A. Costa
Marcus A. Badgeley
Samuel K. Cho
Eric Oermann
3DPCMedIm
74
15
0
18 Sep 2017
Classifying Unordered Feature Sets with Convolutional Deep Averaging
  Networks
Classifying Unordered Feature Sets with Convolutional Deep Averaging Networks
Andrew Gardner
Jinko Kanno
C. A. Duncan
R. Selmic
112
13
0
10 Sep 2017
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic
  Parsing of Large-scale 3D Point Clouds
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds
Fangyu Liu
Shuaipeng Li
Liqiang Zhang
Chenghu Zhou
Rongtian Ye
Yuebin Wang
Jiwen Lu
3DPC
95
108
0
21 Jul 2017
Deep Learning with Topological Signatures
Deep Learning with Topological Signatures
Christoph Hofer
Roland Kwitt
Marc Niethammer
A. Uhl
3DPC
93
249
0
13 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas Guibas
3DV3DPC
96
88
0
08 Jul 2017
VAIN: Attentional Multi-agent Predictive Modeling
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
GNN
123
241
0
19 Jun 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma
Edmond Boyer
Jakob Verbeek
3DPCGNN
83
26
0
16 Jun 2017
Learning Local Shape Descriptors from Part Correspondences With
  Multi-view Convolutional Networks
Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks
Haibin Huang
E. Kalogerakis
S. Chaudhuri
Duygu Ceylan
Vladimir G. Kim
Ersin Yumer
3DPC
98
134
0
14 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
828
15,466
0
07 Jun 2017
3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks
3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks
D. George
Xianghua Xie
G. Tam
3DV3DPC
67
42
0
31 May 2017
Surface Networks
Surface Networks
Ilya Kostrikov
Zhongshi Jiang
Daniele Panozzo
Denis Zorin
Joan Bruna
105
101
0
30 May 2017
Classification of Aerial Photogrammetric 3D Point Clouds
Classification of Aerial Photogrammetric 3D Point Clouds
C. Becker
Nicolai Häni
E. Rosinskaya
E. dÁngelo
C. Strecha
3DPC
49
80
0
23 May 2017
Learning 3D Object Categories by Looking Around Them
Learning 3D Object Categories by Looking Around Them
David Novotny
Diane Larlus
Andrea Vedaldi
3DV3DPC
89
83
0
10 May 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DVSSeg
141
1,278
0
22 Apr 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point
  Cloud Models
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
Roman Klokov
Victor Lempitsky
3DV
106
985
0
04 Apr 2017
Octree Generating Networks: Efficient Convolutional Architectures for
  High-resolution 3D Outputs
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
Maxim Tatarchenko
Alexey Dosovitskiy
Thomas Brox
3DV
131
742
0
28 Mar 2017
A Hierarchical Approach for Generating Descriptive Image Paragraphs
A Hierarchical Approach for Generating Descriptive Image Paragraphs
J. Krause
Justin Johnson
Ranjay Krishna
Li Fei-Fei
VLM
115
379
0
20 Nov 2016
Recurrent 3D Attentional Networks for End-to-End Active Object
  Recognition
Recurrent 3D Attentional Networks for End-to-End Active Object Recognition
Min Liu
Yifei Shi
Lintao Zheng
Kai Xu
Hui Huang
Dinesh Manocha
3DPC
73
10
0
14 Oct 2016
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