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Learning shape correspondence with anisotropic convolutional neural
  networks

Learning shape correspondence with anisotropic convolutional neural networks

20 May 2016
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
M. Bronstein
    3DPC
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Papers citing "Learning shape correspondence with anisotropic convolutional neural networks"

19 / 119 papers shown
Title
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
Matthias Fey
J. E. Lenssen
F. Weichert
H. Müller
3DPC
36
438
0
24 Nov 2017
Residual Gated Graph ConvNets
Residual Gated Graph ConvNets
Xavier Bresson
T. Laurent
GNN
36
463
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
Embedded Spectral Descriptors: Learning the point-wise correspondence
  metric via Siamese neural networks
Embedded Spectral Descriptors: Learning the point-wise correspondence metric via Siamese neural networks
Zhiyu Sun
Yusen He
Andrey Gritsenko
A. Lendasse
Stephen Seung-Yeob Baek
3DPC
19
13
0
17 Oct 2017
Learning quadrangulated patches for 3D shape parameterization and
  completion
Learning quadrangulated patches for 3D shape parameterization and completion
Kripasindhu Sarkar
Kiran Varanasi
D. Stricker
3DV
21
24
0
20 Sep 2017
Learning Compact Geometric Features
Learning Compact Geometric Features
Marc Khoury
Qian-Yi Zhou
V. Koltun
3DPC
45
198
0
15 Sep 2017
Mesh-based Autoencoders for Localized Deformation Component Analysis
Mesh-based Autoencoders for Localized Deformation Component Analysis
Qingyang Tan
Lin Gao
Yu-Kun Lai
Jie-jin Yang
Shi-hong Xia
35
64
0
13 Sep 2017
Localized Manifold Harmonics for Spectral Shape Analysis
Localized Manifold Harmonics for Spectral Shape Analysis
Simone Melzi
Emanuele Rodolà
U. Castellani
M. Bronstein
12
59
0
09 Jul 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
3DPC
GNN
26
25
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 Networks
Haibin Huang
E. Kalogerakis
S. Chaudhuri
Duygu Ceylan
Vladimir G. Kim
Ersin Yumer
3DPC
27
134
0
14 Jun 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
44
658
0
22 May 2017
Deep Functional Maps: Structured Prediction for Dense Shape
  Correspondence
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
Or Litany
Tal Remez
Emanuele Rodolà
A. Bronstein
M. Bronstein
3DPC
30
284
0
27 Apr 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks
Robust Spatial Filtering with Graph Convolutional Neural Networks
F. Such
Shagan Sah
Miguel Domínguez
Suhas Pillai
Chao Zhang
A. Michael
N. Cahill
R. Ptucha
GNN
29
140
0
02 Mar 2017
Sparse Geometric Representation Through Local Shape Probing
Sparse Geometric Representation Through Local Shape Probing
Julie Digne
S. Valette
R. Chaine
25
31
0
07 Dec 2016
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild
R. Güler
George Trigeorgis
Epameinondas Antonakos
Patrick Snape
S. Zafeiriou
Iasonas Kokkinos
3DH
3DV
16
201
0
04 Dec 2016
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
L. Yi
Hao Su
Xingwen Guo
Leonidas J. Guibas
GNN
3DPC
19
466
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
Abhishek Sharma
O. Grau
Mario Fritz
3DPC
22
279
0
13 Apr 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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