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Efficient Generalized Spherical CNNs

Efficient Generalized Spherical CNNs

9 October 2020
Oliver Cobb
C. Wallis
Augustine N. Mavor-Parker
Augustin Marignier
Matthew Alexander Price
Mayeul dÁvezac
Jason D. McEwen
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Papers citing "Efficient Generalized Spherical CNNs"

12 / 12 papers shown
Title
Attention on the Sphere
Attention on the Sphere
Boris Bonev
Max Rietmann
Andrea Paris
Alberto Carpentieri
Thorsten Kurth
29
0
0
16 May 2025
Improving Equivariant Model Training via Constraint Relaxation
Improving Equivariant Model Training via Constraint Relaxation
Stefanos Pertigkiozoglou
Evangelos Chatzipantazis
Shubhendu Trivedi
Kostas Daniilidis
42
4
0
23 Aug 2024
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
Augustine N. Mavor-Parker
Matthew J. Sargent
Caswell Barry
Lewis D. Griffin
Clare Lyle
47
2
0
09 Jul 2024
Differentiable and accelerated spherical harmonic and Wigner transforms
Differentiable and accelerated spherical harmonic and Wigner transforms
Matthew Alexander Price
Jason D. McEwen
31
6
0
24 Nov 2023
HEAL-SWIN: A Vision Transformer On The Sphere
HEAL-SWIN: A Vision Transformer On The Sphere
Oscar Carlsson
Jan E. Gerken
H. Linander
Heiner Spiess
F. Ohlsson
Christoffer Petersson
Daniel Persson
ViT
MedIm
29
6
0
14 Jul 2023
Scaling Spherical CNNs
Scaling Spherical CNNs
Carlos Esteves
Jean-Jacques E. Slotine
A. Makadia
GNN
LRM
27
14
0
08 Jun 2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and
  Applications
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
Gianfranco Cortés
Yue Yu
R. Chen
Melissa S. Armstrong
David E Vaillancourt
B. Vemuri
42
1
0
26 May 2023
A Unified Learning Model for Estimating Fiber Orientation Distribution
  Functions on Heterogeneous Multi-shell Diffusion-weighted MRI
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI
Tianyuan Yao
N. Newlin
Praitayini Kanakaraj
V. Nath
L. Cai
Karthik Ramadass
K. Schilling
Bennett A. Landman
Yuankai Huo
31
3
0
29 Mar 2023
In What Ways Are Deep Neural Networks Invariant and How Should We
  Measure This?
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge
Tegan H. Emerson
Grayson Jorgenson
Scott Vasquez
T. Doster
Jesse D. Lew
51
8
0
07 Oct 2022
How can spherical CNNs benefit ML-based diffusion MRI parameter
  estimation?
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?
Tobias Goodwin-Allcock
Jason D. McEwen
Robert J. Gray
P. Nachev
Hui Zhang
DiffM
MedIm
28
9
0
01 Jul 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant
  Networks on Homogeneous Spaces
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Yinshuang Xu
Jiahui Lei
Yan Sun
Kostas Daniilidis
25
19
0
16 Jun 2022
Equivariant Networks for Pixelized Spheres
Equivariant Networks for Pixelized Spheres
Mehran Shakerinava
Siamak Ravanbakhsh
3DPC
31
19
0
12 Jun 2021
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