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ORCIDGautam Pai 0001
Person information
- affiliation: Eindhoven University of Technology (TU/e), The Netherlands
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Books and Theses
- 2019
[b1]Gautam Pai:
Learning for Numerical Geometry. Technion - Israel Institute of Technology, Israel, 2019
Journal Articles
- 2024
- [j5]Nick J. van de Berg
, Bart M. N. Smets, Gautam Pai, Jean-Marie Mirebeau, Remco Duits:
Geodesic Tracking via New Data-Driven Connections of Cartan Type for Vascular Tree Tracking. J. Math. Imaging Vis. 66(2): 198-230 (2024) - 2023
- [j4]Gijs Bellaard, Daan L. J. Bon, Gautam Pai, Bart M. N. Smets, Remco Duits:
Analysis of (sub-)Riemannian PDE-G-CNNs. J. Math. Imaging Vis. 65(6): 819-843 (2023) - 2022
- [j3]Gautam Pai, Alex M. Bronstein, Ronen Talmon, Ron Kimmel:
Deep Isometric Maps. Image Vis. Comput. 123: 104461 (2022) - 2018
- [j2]Yoni Choukroun, Gautam Pai, Ron Kimmel:
Sparse Approximation of 3D Meshes Using the Spectral Geometry of the Hamiltonian Operator. J. Math. Imaging Vis. 60(6): 941-952 (2018) - 2015
- [j1]Sheikh Mohammadul Haque, Gautam P. Pai, Venu Madhav Govindu:
Symmetric Smoothing Filters From Global Consistency Constraints. IEEE Trans. Image Process. 24(5): 1536-1548 (2015)
Conference and Workshop Papers
- 2023
- [c10]Gautam Pai, Gijs Bellaard, Bart M. N. Smets, Remco Duits:
Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks. GSI (1) 2023: 63-72 - [c9]Gijs Bellaard, Gautam Pai, Javier Oliván Bescós, Remco Duits:
Geometric Adaptations of PDE-G-CNNs. SSVM 2023: 538-550 - 2022
- [c8]Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov:
Implicit Field Supervision for Robust Non-rigid Shape Matching. ECCV (3) 2022: 344-362 - 2021
- [c7]Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov:
DPFM: Deep Partial Functional Maps. 3DV 2021: 175-185 - [c6]Gautam Pai, Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov:
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps. CVPR 2021: 384-393 - 2019
- [c5]Moshe Lichtenstein, Gautam Pai, Ron Kimmel:
Deep Eikonal Solvers. SSVM 2019: 38-50 - [c4]Gautam Pai, Ronen Talmon, Alexander M. Bronstein, Ron Kimmel:
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling. WACV 2019: 819-828 - 2017
- [c3]Gautam Pai, Aaron Wetzler, Ron Kimmel:
Learning Invariant Representations Of Planar Curves. ICLR (Poster) 2017 - [c2]Yoni Choukroun, Gautam Pai, Ron Kimmel:
Schrödinger Operator for Sparse Approximation of 3D Meshes. SGP (Posters) 2017: 9-10 - 2016
- [c1]Vishnu Makkapati, Pujita Raman, Gautam Pai:
Camera based respiration rate of neonates by modeling movement of chest and abdomen region. SPCOM 2016: 1-5
Informal and Other Publications
- 2024
- [i11]Daan L. J. Bon, Gautam Pai, Gijs Bellaard, Olga Mula, Remco Duits:
Optimal Transport on the Lie Group of Roto-translations. CoRR abs/2402.15322 (2024) - [i10]Andrii Kompanets, Gautam Pai, Remco Duits, Davide Leonetti, Bert Snijder:
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges. CoRR abs/2403.17725 (2024) - 2022
- [i9]Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov:
Implicit field supervision for robust non-rigid shape matching. CoRR abs/2203.07694 (2022) - [i8]Gijs Bellaard, Daan L. J. Bon, Gautam Pai, Bart M. N. Smets, Remco Duits:
Analysis of (sub-)Riemannian PDE-G-CNNs. CoRR abs/2210.00935 (2022) - 2021
- [i7]Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov:
DPFM: Deep Partial Functional Maps. CoRR abs/2110.09994 (2021) - 2020
- [i6]Lorina Dascal, Gautam Pai, Ron Kimmel:
A modified Allen-Cahn model for pattern synthesis on surfaces. CoRR abs/2008.07654 (2020) - 2019
- [i5]Moshe Lichtenstein, Gautam Pai, Ron Kimmel:
Deep Eikonal Solvers. CoRR abs/1903.07973 (2019) - [i4]Gautam Pai, Mor Joseph-Rivlin, Ron Kimmel:
Bilateral Operators for Functional Maps. CoRR abs/1907.12993 (2019) - 2017
- [i3]Yoni Choukroun, Gautam Pai, Ron Kimmel:
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator. CoRR abs/1707.02120 (2017) - [i2]Gautam Pai, Ronen Talmon, Ron Kimmel:
Parametric Manifold Learning Via Sparse Multidimensional Scaling. CoRR abs/1711.06011 (2017) - 2016
- [i1]Gautam Pai, Aaron Wetzler, Ron Kimmel:
Learning Invariant Representations Of Planar Curves. CoRR abs/1611.07807 (2016)
Coauthor Index
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