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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

22 February 2018
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
    3DPC
ArXivPDFHTML

Papers citing "Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds"

5 / 255 papers shown
Title
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
165
308
0
05 Nov 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
45
494
0
06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
54
264
0
24 Jun 2018
Intertwiners between Induced Representations (with Applications to the
  Theory of Equivariant Neural Networks)
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)
Taco S. Cohen
Mario Geiger
Maurice Weiler
35
46
0
28 Mar 2018
On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
56
487
0
11 Feb 2018
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