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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

7 June 2017
C. Qi
L. Yi
Hao Su
Leonidas Guibas
    3DPC
    3DV
ArXivPDFHTML

Papers citing "PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space"

48 / 1,898 papers shown
Title
SqueezeSegV2: Improved Model Structure and Unsupervised Domain
  Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Bichen Wu
Xuanyu Zhou
Sicheng Zhao
Xiangyu Yue
Kurt Keutzer
3DPC
15
617
0
22 Sep 2018
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
Peng-Shuai Wang
Chun-Yu Sun
Yang Liu
Xin Tong
3DPC
3DV
MedIm
24
121
0
21 Sep 2018
Generating 3D Adversarial Point Clouds
Generating 3D Adversarial Point Clouds
Chong Xiang
C. Qi
Yue Liu
3DPC
24
287
0
19 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
34
123
0
10 Sep 2018
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for
  3D Shape Recognition
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition
Haoxuan You
Yifan Feng
Rongrong Ji
Yue Gao
3DPC
45
169
0
23 Aug 2018
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape
  Classification
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification
Song-Le Chen
Lintao Zheng
Yan Zhang
Zhixin Sun
Kai Xu
3DPC
3DV
32
73
0
20 Aug 2018
Learning Discriminative 3D Shape Representations by View Discerning
  Networks
Learning Discriminative 3D Shape Representations by View Discerning Networks
B. Leng
Cheng Zhang
Xiaochen Zhou
Cheng Xu
Kai Xu
3DV
3DPC
43
20
0
11 Aug 2018
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Zaiwei Zhang
Zhenpei Yang
Chongyang Ma
Linjie Luo
Alexander G. Huth
E. Vouga
Qi-Xing Huang
GAN
3DPC
23
126
0
06 Aug 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
19
30
0
08 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
19
398
0
02 Jul 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
OCL
AI4CE
27
249
0
21 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
3DV
3DH
22
27
0
19 Jun 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck
Dieter Fox
PINN
3DPC
AI4CE
194
162
0
15 Jun 2018
View-volume Network for Semantic Scene Completion from a Single Depth
  Image
View-volume Network for Semantic Scene Completion from a Single Depth Image
Yu-Xiao Guo
Xin Tong
3DV
3DPC
28
65
0
14 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
3DPC
3DV
135
325
0
13 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
6
258
0
05 Jun 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
3DPC
3DV
24
34
0
25 May 2018
Object-Aware Guidance for Autonomous Scene Reconstruction
Object-Aware Guidance for Autonomous Scene Reconstruction
Ligang Liu
Xi Xia
Han Sun
Qihui Shen
Juzhan Xu
Bin Chen
Hui Huang
Kai Xu
26
49
0
20 May 2018
Learning 3D Shape Completion under Weak Supervision
Learning 3D Shape Completion under Weak Supervision
David Stutz
Andreas Geiger
3DPC
SSL
35
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
23
55
0
13 May 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
3DPC
3DV
24
80
0
10 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
24
20
0
05 Apr 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
36
29
0
30 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
27
72
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
3DPC
3DV
16
323
0
28 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
22
46
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
18
107
0
20 Mar 2018
Depth-aware CNN for RGB-D Segmentation
Depth-aware CNN for RGB-D Segmentation
Weiyue Wang
Ulrich Neumann
SSeg
31
255
0
19 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
27
329
0
16 Mar 2018
Local Spectral Graph Convolution for Point Set Feature Learning
Local Spectral Graph Convolution for Point Set Feature Learning
Chu Wang
Babak Samari
Kaleem Siddiqi
3DPC
GNN
33
371
0
15 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
50
1,307
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
36
935
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
3DPC
3DV
32
101
0
09 Mar 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
50
948
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
88
1,179
0
15 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
50
452
0
13 Feb 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
166
2,423
0
23 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
40
76
0
19 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
31
223
0
01 Dec 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
27
127
0
29 Nov 2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu
M. Simonovsky
GNN
3DPC
94
1,242
0
27 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
98
2,253
0
22 Nov 2017
Neural 3D Mesh Renderer
Neural 3D Mesh Renderer
Hiroharu Kato
Yoshitaka Ushiku
Tatsuya Harada
3DV
44
1,038
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
65
510
0
17 Nov 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
28
66
0
17 Oct 2017
Combining Learned and Analytical Models for Predicting Action Effects
  from Sensory Data
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data
Alina Kloss
S. Schaal
Jeannette Bohg
40
85
0
11 Oct 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
3DV
3DPC
32
42
0
31 May 2017
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
29
10
0
14 Oct 2016
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