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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"
50 / 432 papers shown
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Rotation Equivariant Siamese Networks for Tracking
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LieTransformer: Equivariant self-attention for Lie Groups
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Truly shift-invariant convolutional neural networks
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Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
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Quantifying and Learning Linear Symmetry-Based Disentanglement
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L. Rey
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402
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Latent Causal Invariant Model
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Marc Finzi
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Trajectory Prediction using Equivariant Continuous Convolution
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202
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21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
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298
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Probabilistic Numeric Convolutional Neural Networks
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Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3)
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Group Equivariant Stand-Alone Self-Attention For Vision
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RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
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189
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Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
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203
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Robust Object Classification Approach using Spherical Harmonics
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Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI
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A. Srinivasan
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On the finite representation of group equivariant operators via permutant measures
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318
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Wookeun Jung
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Scale Equivariance Improves Siamese Tracking
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Group Invariant Dictionary Learning
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Yong Sheng Soh
212
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304
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MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
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E. Gavves
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Spin-Weighted Spherical CNNs
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A. Makadia
Kostas Daniilidis
236
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SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
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Volker Fischer
Max Welling
3DPC
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AlgebraNets
Jordan Hoffmann
Simon Schmitt
Simon Osindero
Karen Simonyan
Erich Elsen
MoE
410
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Lorentz Group Equivariant Neural Network for Particle Physics
A. Bogatskiy
Brandon M. Anderson
Jan T. Offermann
M. Roussi
David W. Miller
Risi Kondor
AI4CE
242
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On Universalized Adversarial and Invariant Perturbations
Sandesh Kamath
Amit Deshpande
K. Subrahmanyam
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60
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Structure preserving deep learning
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Matthias Joachim Ehrhardt
Christian Etmann
R. McLachlan
B. Owren
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Ferdia Sherry
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Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning
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Aditya Sanghi
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CNNs on Surfaces using Rotation-Equivariant Features
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Vincent Andrearczyk
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Adrien Depeursinge
148
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