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10/03/2022
Analysis of (sub-)Riemannian PDE-G-CNNs
Group equivariant convolutional neural networks (G-CNNs) have been succe...
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03/15/2022
Implicit field supervision for robust non-rigid shape matching
Establishing a correspondence between two non-rigidly deforming shapes i...
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10/19/2021
DPFM: Deep Partial Functional Maps
We consider the problem of computing dense correspondences between non-r...
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08/17/2020
A modified Allen-Cahn model for pattern synthesis on surfaces
We propose an extension of the Allen-Cahn model for pattern synthesis on...
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07/30/2019
Bilateral Operators for Functional Maps
A majority of shape correspondence frameworks are based on devising poin...
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03/19/2019
Deep Eikonal Solvers
A deep learning approach to numerically approximate the solution to the ...
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11/16/2017
Parametric Manifold Learning Via Sparse Multidimensional Scaling
We propose a metric-learning framework for computing distance-preserving...
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07/07/2017
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator
The discrete Laplace operator is ubiquitous in spectral shape analysis, ...
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11/23/2016