MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued
Images With Applications

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MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications

2 March 2020

David E Vaillancourt

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Papers citing "MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications"

7 / 7 papers shown

Title
Riemannian batch normalization for SPD neural networks Daniel A. Brooks Olivier Schwander F. Barbaresco J. Schneider Matthieu Cord 57 93 0 03 Sep 2019
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 79 271 0 24 Jun 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 112 500 0 11 Feb 2018
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 104 515 0 17 Nov 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 808 3,287 0 24 Nov 2016
Understanding Deep Convolutional Networks S. Mallat FAtt AI4CE 175 639 0 19 Jan 2016
Unsupervised Learning of Video Representations using LSTMs Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov SSL 132 2,591 0 16 Feb 2015