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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 / 5,538 papers shown
Title
PCN: Point Completion Network
PCN: Point Completion Network
Wentao Yuan
Tejas Khot
David Held
Christoph Mertz
M. Hebert
3DPC3DV
199
838
0
02 Aug 2018
Semantic Classification of 3D Point Clouds with Multiscale Spherical
  Neighborhoods
Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods
Hugues Thomas
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Y. L. Gall
3DPC
69
131
0
01 Aug 2018
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud
  Temporal Convolutional Networks
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks
Cong Gao
Xingtong Liu
Michael Peven
Mathias Unberath
A. Reiter
28
23
0
31 Jul 2018
Modular Sensor Fusion for Semantic Segmentation
Modular Sensor Fusion for Semantic Segmentation
Hermann Blum
Abel Gawel
Roland Siegwart
Cesar Cadena
74
14
0
30 Jul 2018
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud
  Registration
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
Zi Jian Yew
Gim Hee Lee
3DPC
86
335
0
25 Jul 2018
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
Manyi Li
A. Patil
Kai Xu
S. Chaudhuri
Owais Khan
Ariel Shamir
Changhe Tu
Baoquan Chen
Daniel Cohen-Or
Hao Zhang
3DVVGen
103
143
0
24 Jul 2018
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional
  Networks
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks
Kripasindhu Sarkar
Basavaraj Hampiholi
Kiran Varanasi
D. Stricker
3DV
83
33
0
23 Jul 2018
Deep Learning Parametrization for B-Spline Curve Approximation
Deep Learning Parametrization for B-Spline Curve Approximation
P. Laube
M. Franz
G. Umlauf
52
23
0
22 Jul 2018
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point
  Cloud Reconstruction from a Single Image
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image
Priyanka Mandikal
L. NavaneetK.
Mayank Agarwal
R. Venkatesh Babu
3DV3DPC
85
158
0
20 Jul 2018
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
Yansen Wang
Tianyue Shi
Peng Yun
L. Tai
Ming-Yuan Liu
3DPC
123
122
0
17 Jul 2018
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth
  Generation
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation
Jungwook Lee
Sean Walsh
Ali Harakeh
Steven L. Waslander
3DPC
146
34
0
16 Jul 2018
EC-Net: an Edge-aware Point set Consolidation Network
EC-Net: an Edge-aware Point set Consolidation Network
Lequan Yu
Xianzhi Li
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
96
241
0
16 Jul 2018
High Fidelity Semantic Shape Completion for Point Clouds using Latent
  Optimization
High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization
Swaminathan Gurumurthy
Shubham Agrawal
3DPC
95
36
0
09 Jul 2018
Data-driven Upsampling of Point Clouds
Data-driven Upsampling of Point Clouds
Wentai Zhang
Haoliang Jiang
Zhangsihao Yang
Soji Yamakawa
K. Shimada
Levent Burak Kara
3DPC
86
30
0
08 Jul 2018
Tangent Convolutions for Dense Prediction in 3D
Tangent Convolutions for Dense Prediction in 3D
Maxim Tatarchenko
Jaesik Park
V. Koltun
Qian-Yi Zhou
3DV3DPCMDE
108
550
0
06 Jul 2018
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding
  Spaces
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces
Minhyuk Sung
Anastasia Dubrovina
Vladimir G. Kim
Leonidas Guibas
3DPC
69
9
0
04 Jul 2018
Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term
  Semantic Mapping with 3D-Lidar Data
Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data
Li Sun
Zhi Yan
Anestis Zaganidis
Cheng Zhao
T. Duckett
3DPC
126
72
0
02 Jul 2018
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic
  Segmentation
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
Mingyang Jiang
Yiran Wu
Tianqi Zhao
Zelin Zhao
Cewu Lu
3DPC
98
401
0
02 Jul 2018
Learning Single-Image Depth from Videos using Quality Assessment
  Networks
Learning Single-Image Depth from Videos using Quality Assessment Networks
Weifeng Chen
Shengyi Qian
Jia Deng
93
67
0
25 Jun 2018
Point cloud segmentation using hierarchical tree for architectural
  models
Point cloud segmentation using hierarchical tree for architectural models
Omair Hassaan
Abeera Shamail
Zain Butt
M. Taj
3DPC
13
2
0
22 Jun 2018
Flexible Neural Representation for Physics Prediction
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCLAI4CE
101
251
0
21 Jun 2018
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image
  Registration
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration
Roman Schaffert
Jian Wang
P. Fischer
A. Borsdorf
Andreas Maier
3DPC
82
16
0
20 Jun 2018
HairNet: Single-View Hair Reconstruction using Convolutional Neural
  Networks
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks
Yi Zhou
Liwen Hu
Jun Xing
Weikai Chen
Han-Wei Kung
Xin Tong
Hao Li
3DV3DH
86
27
0
19 Jun 2018
Mixed batches and symmetric discriminators for GAN training
Mixed batches and symmetric discriminators for GAN training
Thomas Lucas
Corentin Tallec
Jakob Verbeek
Yann Ollivier
65
37
0
19 Jun 2018
End-to-end Sampling Patterns
End-to-end Sampling Patterns
Thomas Leimkuhler
Gurprit Singh
K. Myszkowski
Hans-Peter Seidel
Tobias Ritschel
45
2
0
18 Jun 2018
Object Level Visual Reasoning in Videos
Object Level Visual Reasoning in Videos
Fabien Baradel
Natalia Neverova
Christian Wolf
J. Mille
Greg Mori
129
164
0
16 Jun 2018
On Machine Learning and Structure for Mobile Robots
On Machine Learning and Structure for Mobile Robots
Markus Wulfmeier
51
6
0
15 Jun 2018
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC3DV
226
330
0
13 Jun 2018
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
Gusi Te
Wei Hu
Zongming Guo
Amin Zheng
3DPC
87
326
0
08 Jun 2018
Action4D: Real-time Action Recognition in the Crowd and Clutter
Action4D: Real-time Action Recognition in the Crowd and Clutter
Quanzeng You
Hao Jiang
3DPCHAI
40
7
0
06 Jun 2018
Variational Implicit Processes
Variational Implicit Processes
Chao Ma
Yingzhen Li
José Miguel Hernández-Lobato
BDL
130
71
0
06 Jun 2018
Multi-chart Generative Surface Modeling
Multi-chart Generative Surface Modeling
Heli Ben-Hamu
Haggai Maron
Itay Kezurer
G. Avineri
Y. Lipman
MedIm
93
75
0
06 Jun 2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point
  Clouds
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
Pedro Hermosilla
Tobias Ritschel
Pere-Pau Vázquez
À. Vinacua
Timo Ropinski
3DPC
165
260
0
05 Jun 2018
Embedding Logical Queries on Knowledge Graphs
Embedding Logical Queries on Knowledge Graphs
William L. Hamilton
Payal Bajaj
Marinka Zitnik
Dan Jurafsky
J. Leskovec
NAI
121
292
0
05 Jun 2018
FlowNet3D: Learning Scene Flow in 3D Point Clouds
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Xingyu Liu
C. Qi
Leonidas Guibas
3DPC
132
481
0
04 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
934
3,136
0
04 Jun 2018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural
  Network Compression
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression
Lazar Supic
R. Naous
Ranko Sredojevic
Aleksandra Faust
Vladimir M. Stojanović
129
4
0
30 May 2018
Deep Functional Dictionaries: Learning Consistent Semantic Structures on
  3D Models from Functions
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions
Minhyuk Sung
Hao Su
Ronald Yu
Leonidas Guibas
3DPC3DV
67
34
0
25 May 2018
Meta-Learning Probabilistic Inference For Prediction
Meta-Learning Probabilistic Inference For Prediction
Jonathan Gordon
J. Bronskill
Matthias Bauer
Sebastian Nowozin
Richard Turner
BDL
157
265
0
24 May 2018
Scene Coordinate and Correspondence Learning for Image-Based
  Localization
Scene Coordinate and Correspondence Learning for Image-Based Localization
Mai Bui
Shadi Albarqouni
Slobodan Ilic
Nassir Navab
3DV
78
21
0
22 May 2018
Spherical Convolutional Neural Network for 3D Point Clouds
Spherical Convolutional Neural Network for 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
72
20
0
21 May 2018
Learning 3D Shape Completion under Weak Supervision
Learning 3D Shape Completion under Weak Supervision
David Stutz
Andreas Geiger
3DPCSSL
106
106
0
18 May 2018
LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR
LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR
Kazuki Minemura
Hengfui Liau
Abraham Monrroy
Shinpei Kato
148
57
0
13 May 2018
Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant
  Phenotyping
Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping
Bernhard Japes
Jennifer Mack
F. Rist
Katja Herzog
R. Töpfer
Volker Steinhage
3DPC
42
6
0
10 May 2018
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data
  Generation
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation
Florian Piewak
Peter Pinggera
Manuel Schäfer
David Peter
Beate Schwarz
N. Schneider
D. Pfeiffer
Markus Enzweiler
Johann Marius Zöllner
3DPC
75
63
0
26 Apr 2018
SegMap: 3D Segment Mapping using Data-Driven Descriptors
SegMap: 3D Segment Mapping using Data-Driven Descriptors
Renaud Dubé
Andrei Cramariuc
Daniel Dugas
Juan I. Nieto
Roland Siegwart
Cesar Cadena
3DPC
65
158
0
25 Apr 2018
Learning 3D Segment Descriptors for Place Recognition
Learning 3D Segment Descriptors for Place Recognition
Andrei Cramariuc
Renaud Dubé
H. Sommer
Roland Siegwart
Igor Gilitschenski
3DPC
60
16
0
24 Apr 2018
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
33
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
80
431
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
88
80
0
10 Apr 2018
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