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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"

50 / 6,100 papers shown
3D Object Classification via Spherical Projections
3D Object Classification via Spherical Projections
Zhangjie Cao
Qi-Xing Huang
K. Ramani
3DPC
154
70
0
12 Dec 2017
SPP-Net: Deep Absolute Pose Regression with Synthetic Views
SPP-Net: Deep Absolute Pose Regression with Synthetic Views
Pulak Purkait
Cheng Zhao
Christopher Zach
137
177
0
09 Dec 2017
Joint 3D Proposal Generation and Object Detection from View Aggregation
Joint 3D Proposal Generation and Object Detection from View Aggregation
Jason Ku
Melissa Mozifian
Jungwook Lee
Ali Harakeh
Steven Waslander
3DPC
453
1,537
0
06 Dec 2017
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Peng-Shuai Wang
Yang Liu
Yu-Xiao Guo
Chun-Yu Sun
Xin Tong
3DV
245
199
0
05 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
439
237
0
01 Dec 2017
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
166
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
298
307
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
167
7
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
268
713
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
165
137
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
427
1,734
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
489
1,380
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
330
594
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
484
2,465
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
159
71
0
22 Nov 2017
Neural 3D Mesh Renderer
Neural 3D Mesh Renderer
Hiroharu Kato
Yoshitaka Ushiku
Tatsuya Harada
3DV
365
1,127
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
500
160
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
431
555
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
538
4,292
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
270
515
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
256
24
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
148
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
324
799
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
189
68
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
121
47
0
03 Oct 2017
Dense RGB-D semantic mapping with Pixel-Voxel neural network
Dense RGB-D semantic mapping with Pixel-Voxel neural network
Cheng Zhao
Li Sun
Pulak Purkait
Rustam Stolkin
3DPC
300
26
0
30 Sep 2017
Drought Stress Classification using 3D Plant Models
Drought Stress Classification using 3D Plant Models
Siddharth Srivastava
Swati Bhugra
Brejesh Lall
S. Chaudhury
101
11
0
21 Sep 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
124
16
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
167
13
0
10 Sep 2017
Tags2Parts: Discovering Semantic Regions from Shape Tags
Tags2Parts: Discovering Semantic Regions from Shape Tags
Sanjeev Muralikrishnan
Vladimir G. Kim
S. Chaudhuri
213
24
0
22 Aug 2017
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
Minhyuk Sung
Hao Su
Vladimir G. Kim
S. Chaudhuri
Leonidas Guibas
3DV
196
66
0
06 Aug 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
160
112
0
21 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
257
1
0
20 Jul 2017
Deep Learning with Topological Signatures
Deep Learning with Topological Signatures
Christoph Hofer
Roland Kwitt
Marc Niethammer
A. Uhl
3DPC
330
270
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
Alexia Jolicoeur-Martineau
Leonidas Guibas
3DV3DPC
222
91
0
08 Jul 2017
VAIN: Attentional Multi-agent Predictive Modeling
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
GNN
230
246
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
193
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 NetworksACM Transactions on Graphics (TOG), 2017
Haibin Huang
E. Kalogerakis
S. Chaudhuri
Duygu Ceylan
Vladimir G. Kim
Ersin Yumer
3DPC
228
136
0
14 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric SpaceNeural Information Processing Systems (NeurIPS), 2017
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC3DV
780
13,151
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large GraphsNeural Information Processing Systems (NeurIPS), 2017
William L. Hamilton
Z. Ying
J. Leskovec
2.6K
18,261
0
07 Jun 2017
3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks
3D Mesh Segmentation via Multi-branch 1D Convolutional Neural NetworksGraphical Models (Graph. Models), 2017
D. George
Xianghua Xie
G. Tam
3DV3DPC
115
43
0
31 May 2017
Surface Networks
Surface Networks
Ilya Kostrikov
Zhongshi Jiang
Daniele Panozzo
Denis Zorin
Joan Bruna
232
106
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
130
83
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
274
85
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
300
1,361
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
399
1,013
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
300
770
0
28 Mar 2017
3D Shape Segmentation via Shape Fully Convolutional Networks
3D Shape Segmentation via Shape Fully Convolutional NetworksComputers & graphics (Comput. Graph.), 2017
Pengyu Wang
Y. Gan
Panpan Shui
Fenggen Yu
Yan Zhang
Song-Le Chen
Zhengxing Sun
3DPC
196
91
0
28 Feb 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
234
401
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 RecognitionComputational Visual Media (CVM), 2016
Min Liu
Yifei Shi
Lintao Zheng
Kai Xu
Hui Huang
Dinesh Manocha
3DPC
198
10
0
14 Oct 2016
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