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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
Defo-Net: Learning Body Deformation using Generative Adversarial
  Networks
Defo-Net: Learning Body Deformation using Generative Adversarial Networks
Zhihua Wang
Stefano Rosa
Linhai Xie
Bo Yang
Sen Wang
A. Trigoni
Andrew Markham
GAN
98
9
0
16 Apr 2018
BodyNet: Volumetric Inference of 3D Human Body Shapes
BodyNet: Volumetric Inference of 3D Human Body Shapes
Gül Varol
Duygu Ceylan
Bryan C. Russell
Jimei Yang
Ersin Yumer
Ivan Laptev
Cordelia Schmid
3DH
297
449
0
13 Apr 2018
Classification of Point Cloud Scenes with Multiscale Voxel Deep Network
Classification of Point Cloud Scenes with Multiscale Voxel Deep Network
Xavier Roynard
Jean-Emmanuel Deschaud
F. Goulette
3DPC3DV
171
85
0
10 Apr 2018
Two Stream 3D Semantic Scene Completion
Two Stream 3D Semantic Scene Completion
Martin Garbade
Alexander Richard
Johann Sawatzky
Juergen Gall
3DPC3DV
252
99
0
10 Apr 2018
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place
  Recognition
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
Mikaela Angelina Uy
Gim Hee Lee
3DPC3DV
391
643
0
10 Apr 2018
Deep Person Detection in 2D Range Data
Deep Person Detection in 2D Range Data
Lucas Beyer
Alexander Hermans
Timm Linder
Kai O. Arras
Bastian Leibe
173
15
0
06 Apr 2018
Noise-resistant Deep Learning for Object Classification in 3D Point
  Clouds Using a Point Pair Descriptor
Noise-resistant Deep Learning for Object Classification in 3D Point Clouds Using a Point Pair Descriptor
D. Bobkov
Sili Chen
Ruiqing Jian
M. Z. Iqbal
Eckehard Steinbach
3DPC
120
21
0
05 Apr 2018
DeepMVS: Learning Multi-view Stereopsis
DeepMVS: Learning Multi-view Stereopsis
Po-Han Huang
Kevin Blackburn-Matzen
Johannes Kopf
Narendra Ahuja
Jia-Bin Huang
3DV
279
530
0
02 Apr 2018
Real-time Progressive 3D Semantic Segmentation for Indoor Scene
Real-time Progressive 3D Semantic Segmentation for Indoor Scene
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DPCSSeg3DV
341
73
0
01 Apr 2018
DeepIM: Deep Iterative Matching for 6D Pose Estimation
DeepIM: Deep Iterative Matching for 6D Pose Estimation
Yi Li
Gu Wang
Xiangyang Ji
Yu Xiang
Dieter Fox
3DH3DPC
675
763
0
31 Mar 2018
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans
Chen Liu
Jiaye Wu
Yasutaka Furukawa
3DV
200
149
0
31 Mar 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV3DPC
552
843
0
30 Mar 2018
H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis
Tianjia Shao
Yifan Yang
Y. Weng
Qiming Hou
Kun Zhou
3DV
194
33
0
30 Mar 2018
Learning Kinematic Descriptions using SPARE: Simulated and Physical
  ARticulated Extendable dataset
Learning Kinematic Descriptions using SPARE: Simulated and Physical ARticulated Extendable dataset
A. Venkataraman
Brent A. Griffin
Jason J. Corso
84
4
0
29 Mar 2018
Learning Free-Form Deformations for 3D Object Reconstruction
Learning Free-Form Deformations for 3D Object Reconstruction
Dominic Jack
J. K. Pontes
Sridha Sridharan
Clinton Fookes
S. Shirazi
Frederic Maire
Anders P. Eriksson
3DPC
166
79
0
29 Mar 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial
  Networks
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
GAN
636
2,234
0
29 Mar 2018
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
Angela Dai
Matthias Nießner
3DPC3DV
210
344
0
28 Mar 2018
Point Convolutional Neural Networks by Extension Operators
Point Convolutional Neural Networks by Extension Operators
Matan Atzmon
Haggai Maron
Y. Lipman
3DPC
183
562
0
27 Mar 2018
Learning the Multiple Traveling Salesmen Problem with Permutation
  Invariant Pooling Networks
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks
Yoav Kaempfer
Lior Wolf
150
77
0
26 Mar 2018
P2P-NET: Bidirectional Point Displacement Net for Shape Transform
P2P-NET: Bidirectional Point Displacement Net for Shape Transform
K. Yin
Hui Huang
Daniel Cohen-Or
Hao Zhang
3DPC
196
50
0
25 Mar 2018
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
F. Groh
P. Wieschollek
Hendrik P. A. Lensch
3DPC
334
117
0
20 Mar 2018
Depth-aware CNN for RGB-D Segmentation
Depth-aware CNN for RGB-D Segmentation
Weiyue Wang
Ulrich Neumann
SSeg
368
284
0
19 Mar 2018
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
Martin Simon
Stefan Milz
Karl Amende
H. Groß
3DPC
251
345
0
16 Mar 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval
Triplet-Center Loss for Multi-View 3D Object Retrieval
Xinwei He
Yang Zhou
Zhichao Zhou
S. Bai
X. Bai
3DPC
205
358
0
16 Mar 2018
Deep Multiple Instance Learning for Zero-shot Image Tagging
Deep Multiple Instance Learning for Zero-shot Image TaggingAsian Conference on Computer Vision (ACCV), 2018
Shafin Rahman
Salman Khan
VLM
120
19
0
16 Mar 2018
Local Spectral Graph Convolution for Point Set Feature Learning
Local Spectral Graph Convolution for Point Set Feature LearningEuropean Conference on Computer Vision (ECCV), 2018
Chu Wang
Babak Samari
Kaleem Siddiqi
3DPCGNN
189
393
0
15 Mar 2018
Learning to Play General Video-Games via an Object Embedding Network
Learning to Play General Video-Games via an Object Embedding NetworkIEEE Conference on Computational Intelligence and Games (CIG), 2018
William Woof
Ke Chen
142
13
0
14 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
376
1,430
0
12 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
492
990
0
12 Mar 2018
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
Muzammal Naseer
Salman H Khan
Fatih Porikli
3DPC3DV
192
111
0
09 Mar 2018
Neural Inverse Rendering for General Reflectance Photometric Stereo
Neural Inverse Rendering for General Reflectance Photometric StereoInternational Conference on Machine Learning (ICML), 2018
Tatsunori Taniai
Takanori Maehara
268
112
0
28 Feb 2018
Multi-View Silhouette and Depth Decomposition for High Resolution 3D
  Object Representation
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object RepresentationNeural Information Processing Systems (NeurIPS), 2018
Edward James Smith
Scott Fujimoto
David Meger
SupR
179
56
0
27 Feb 2018
Deep learning for conifer/deciduous classification of airborne LiDAR 3D
  point clouds representing individual trees
Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees
Hamid Hamraz
Nathan Jacobs
M. Contreras
Chase Clark
3DPC
176
107
0
24 Feb 2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
SPLATNet: Sparse Lattice Networks for Point Cloud Processing
Hang Su
Varun Jampani
Deqing Sun
Subhransu Maji
E. Kalogerakis
Ming-Hsuan Yang
Jan Kautz
3DPC
342
779
0
22 Feb 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
360
1,125
0
22 Feb 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DV
474
1,281
0
15 Feb 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
810
2,321
0
13 Feb 2018
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Recurrent Slice Networks for 3D Segmentation of Point Clouds
Qiangui Huang
Weiyue Wang
Ulrich Neumann
3DPC
311
478
0
13 Feb 2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
Haowen Deng
Tolga Birdal
Slobodan Ilic
3DV3DPC
249
614
0
07 Feb 2018
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Francis Engelmann
Theodora Kontogianni
Alexander Hermans
Bastian Leibe
3DPC
446
279
0
05 Feb 2018
Inference, Learning and Attention Mechanisms that Exploit and Preserve
  Sparsity in Convolutional Networks
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks
Timo Hackel
Mikhail (Misha) Usvyatsov
S. Galliani
Jan Dirk Wegner
Konrad Schindler
238
15
0
31 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
863
7,054
0
24 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
720
2,771
0
23 Jan 2018
PU-Net: Point Cloud Upsampling Network
PU-Net: Point Cloud Upsampling Network
Lequan Yu
Xianzhi Li
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
298
682
0
21 Jan 2018
Deep learning for determining a near-optimal topological design without
  any iteration
Deep learning for determining a near-optimal topological design without any iteration
Yonggyun Yu
Taeil Hur
Jaeho Jung
I. Jang
3DV
195
313
0
13 Jan 2018
Feature Space Transfer for Data Augmentation
Feature Space Transfer for Data Augmentation
Bo Liu
Xudong Wang
Mandar Dixit
Roland Kwitt
Nuno Vasconcelos
CVBM
195
97
0
13 Jan 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
321
831
0
10 Jan 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Yaoqing Yang
Chen Feng
Yiru Shen
Dong Tian
3DPC
208
80
0
19 Dec 2017
Mining Point Cloud Local Structures by Kernel Correlation and Graph
  Pooling
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
Yiru Shen
Chen Feng
Yaoqing Yang
Dong Tian
3DPC
166
33
0
19 Dec 2017
Pointwise Convolutional Neural Networks
Pointwise Convolutional Neural Networks
Binh-Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
3DPC3DV
295
564
0
14 Dec 2017
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