Publications associées à ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds

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Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson, Iva Bogdanova Vandergheynst

We propose here some basic approaches to direct processing of the

360^o

-images as we take into consideration the geometry of each one. Obviously, the geometry of each of these images is a consequence of the geometry of the sensor's mirror used. This tech ...

2005

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds

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Compressed Optical Imaging

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Global dynamics above the ground state energy for the one-dimensional NLKG equation

Dense Disparity Estimation from Linear Measurements

Filter Learning for Linear Structure Segmentation

Differential geometry applied to crystallography

Stability and Delay Bounds in Heterogeneous Networks of Aggregate Schedulers

Stability and Delay Bounds in Heterogeneous Networks of Aggregate Schedulers

Wavelets on non-Euclidean manifolds

Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images

Global dynamics above the ground state energy for the one-dimensional NLKG equation

Stability and Delay Bounds in Heterogeneous Networks of Aggregate Schedulers

Learning Discriminative Features and Structured Models for Segmentation in Microscopy and Natural Images

Compressed Optical Imaging

Dense Disparity Estimation from Linear Measurements

Stability and Delay Bounds in Heterogeneous Networks of Aggregate Schedulers

Differential geometry applied to crystallography

Filter Learning for Linear Structure Segmentation

Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images

Wavelets on non-Euclidean manifolds