Gautam Pai | DeepAI

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Featured Co-authors

Maks Ovsjanikov
53 publications
Ron Kimmel
52 publications
Ronen Talmon
25 publications
Yoni Choukroun
13 publications
Remco Duits
8 publications
Souhaib Attaiki
7 publications
Aaron Wetzler
4 publications
Ramana Sundararaman
3 publications
Moshe Lichtenstein
3 publications
Mor Joseph-Rivlin
2 publications
Bart Smets
2 publications

∙ 10/03/2022

Analysis of (sub-)Riemannian PDE-G-CNNs

Group equivariant convolutional neural networks (G-CNNs) have been succe...

0 Gijs Bellaard, et al. ∙

∙ 03/15/2022

Implicit field supervision for robust non-rigid shape matching

Establishing a correspondence between two non-rigidly deforming shapes i...

0 Ramana Sundararaman, et al. ∙

∙ 10/19/2021

DPFM: Deep Partial Functional Maps

We consider the problem of computing dense correspondences between non-r...

0 Souhaib Attaiki, et al. ∙

∙ 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...

0 Lorina Dascal, et al. ∙

∙ 07/30/2019

Bilateral Operators for Functional Maps

A majority of shape correspondence frameworks are based on devising poin...

9 Gautam Pai, et al. ∙

∙ 03/19/2019

Deep Eikonal Solvers

A deep learning approach to numerically approximate the solution to the ...

12 Moshe Lichtenstein, et al. ∙

∙ 11/16/2017

Parametric Manifold Learning Via Sparse Multidimensional Scaling

We propose a metric-learning framework for computing distance-preserving...

0 Gautam Pai, et al. ∙

∙ 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, ...

0 Yoni Choukroun, et al. ∙

∙ 11/23/2016

Learning Invariant Representations Of Planar Curves

We propose a metric learning framework for the construction of invariant...

0 Gautam Pai, et al. ∙

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