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1612.04642
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Harmonic Networks: Deep Translation and Rotation Equivariance
14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
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Papers citing
"Harmonic Networks: Deep Translation and Rotation Equivariance"
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Gauge Equivariant Convolutional Networks and the Icosahedral CNN
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A Push-Pull Layer Improves Robustness of Convolutional Neural Networks
N. Strisciuglio
Manuel López-Antequera
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29 Jan 2019
Equivariant Transformer Networks
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Peter Bailis
Gregory Valiant
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25 Jan 2019
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning
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Patrizio Frosini
D. Giorgi
Nicola Quercioli
AI4CE
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0
31 Dec 2018
Retinal vessel segmentation based on Fully Convolutional Neural Networks
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Sérgio Pereira
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18 Dec 2018
Harmonic Networks: Integrating Spectral Information into CNNs
Matej Ulicny
V. Krylov
Rozenn Dahyot
97
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07 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings
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Avneesh Sud
Zhengyi Luo
Kostas Daniilidis
A. Makadia
3DPC
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0
06 Dec 2018
Integrating Multiple Receptive Fields through Grouped Active Convolution
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Junmo Kim
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11 Nov 2018
VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation
Hsien-Yu Meng
Lin Gao
Yu-kun Lai
Tianyi Zhou
3DPC
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227
0
11 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
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AI4CE
255
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0
05 Nov 2018
DeepSymmetry : Using 3D convolutional networks for identification of tandem repeats and internal symmetries in protein structures
Guillaume Pagès
Sergei Grudinin
110
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29 Oct 2018
Rotational 3D Texture Classification Using Group Equivariant CNNs
Vincent Andrearczyk
Adrien Depeursinge
76
12
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16 Oct 2018
Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators
R. L. Curier
Tim De Jong
K. Strauch
Katharina Cramer
Natalie Rosenski
Clara Schartner
M. Debusschere
Hannah Ziemons
Deniz Iren
Stefano Bromuri
103
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11 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
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Joost Visser
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102
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A rotation-equivariant convolutional neural network model of primary visual cortex
Alexander S. Ecker
Fabian H. Sinz
E. Froudarakis
Paul G. Fahey
Santiago A. Cadena
Edgar Y. Walker
Erick Cobos
Jacob Reimer
A. Tolias
Matthias Bethge
69
54
0
27 Sep 2018
3D Human Pose Estimation with Siamese Equivariant Embedding
M. Véges
Viktor Varga
András Lőrincz
83
29
0
19 Sep 2018
ManifoldNet: A Deep Network Framework for Manifold-valued Data
Rudrasis Chakraborty
Jose J. Bouza
J. Manton
B. Vemuri
52
16
0
11 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
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06 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations
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41
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Isometric Transformation Invariant Graph-based Deep Neural Network
Renata Khasanova
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44
3
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21 Aug 2018
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
Xiaomeng Li
Lequan Yu
Hao Chen
Chi-Wing Fu
Pheng-Ann Heng
MedIm
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0
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Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
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Krzysztof Czarnecki
104
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0
05 Aug 2018
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems
ShihChung B. Lo
Ph. D.
M. Freedman
M. D.
S. Mun
Ph. D.
H. Chan
Ph. D
35
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0
03 Aug 2018
Scale equivariance in CNNs with vector fields
Diego Marcos
B. Kellenberger
Sylvain Lobry
D. Tuia
89
56
0
31 Jul 2018
Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors
S. Lo
M. Freedman
S. Mun
62
3
0
30 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi
P. D. Haan
Tim R. Davidson
Nicola De Cao
Maurice Weiler
Patrick Forré
Taco S. Cohen
BDL
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107
115
0
12 Jul 2018
DeSTNet: Densely Fused Spatial Transformer Networks
R. Annunziata
Christos Sagonas
Jacques Calì
46
6
0
11 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
148
508
0
06 Jul 2018
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks
J. Linmans
Jim Winkens
Bastiaan S. Veeling
Taco S. Cohen
Max Welling
MedIm
90
26
0
02 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
95
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0
24 Jun 2018
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Zhixin Shu
M. Sahasrabudhe
R. Güler
Dimitris Samaras
Nikos Paragios
Iasonas Kokkinos
CVBM
121
201
0
18 Jun 2018
Group Equivariant Capsule Networks
J. E. Lenssen
Matthias Fey
Pascal Libuschewski
101
109
0
13 Jun 2018
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators
S. Lo
M. Freedman
S. Mun
Shuo Gu
54
5
0
10 Jun 2018
Rotation Equivariant CNNs for Digital Pathology
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
125
586
0
08 Jun 2018
Rotation Equivariance and Invariance in Convolutional Neural Networks
Benjamin Chidester
Minh Do
Jian Ma
64
35
0
31 May 2018
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay
Yair Weiss
108
563
0
30 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
Xiuyuan Cheng
Qiang Qiu
Robert Calderbank
Guillermo Sapiro
58
43
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17 May 2018
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging
Rudrasis Chakraborty
Monami Banerjee
B. Vemuri
45
10
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14 May 2018
Learning on the Edge: Explicit Boundary Handling in CNNs
Carlo Innamorati
Tobias Ritschel
Tim Weyrich
Niloy J. Mitra
50
21
0
08 May 2018
CubeNet: Equivariance to 3D Rotation and Translation
Daniel E. Worrall
Gabriel J. Brostow
3DPC
96
143
0
12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection
M. Winkels
Taco S. Cohen
MedIm
3DPC
82
107
0
12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
Erik J. Bekkers
Maxime W. Lafarge
M. Veta
K. Eppenhof
J. Pluim
R. Duits
MedIm
82
174
0
10 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)
Taco S. Cohen
Mario Geiger
Maurice Weiler
74
47
0
28 Mar 2018
What Do We Understand About Convolutional Networks?
Isma Hadji
Richard P. Wildes
FAtt
66
99
0
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Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models
Diego Marcos
Michele Volpi
B. Kellenberger
D. Tuia
125
237
0
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HexaConv
Emiel Hoogeboom
Jorn W. T. Peters
Taco S. Cohen
Max Welling
83
58
0
06 Mar 2018
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
152
980
0
22 Feb 2018
Robustness of Rotation-Equivariant Networks to Adversarial Perturbations
Beranger Dumont
Simona Maggio
Pablo Montalvo
AAML
69
24
0
19 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
174
500
0
11 Feb 2018
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
190
908
0
30 Jan 2018
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