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Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point
  Clouds

Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

5 June 2018
Pedro Hermosilla
Tobias Ritschel
Pere-Pau Vázquez
À. Vinacua
Timo Ropinski
    3DPC
ArXivPDFHTML

Papers citing "Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds"

18 / 18 papers shown
Title
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
3DV
3DPC
205
770
0
30 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
44
323
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
55
538
0
27 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
63
107
0
20 Mar 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
58
750
0
22 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
92
453
0
13 Feb 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
GNN
3DPC
251
6,119
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
228
2,436
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
74
577
0
21 Jan 2018
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
58
33
0
19 Dec 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC
3DV
313
11,062
0
07 Jun 2017
Submanifold Sparse Convolutional Networks
Submanifold Sparse Convolutional Networks
Benjamin Graham
Laurens van der Maaten
77
467
0
05 Jun 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
74
982
0
04 Apr 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC
3DV
432
4,040
0
14 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
442
14,264
0
02 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
711
36,708
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,917
0
18 May 2015
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