Geodesic Tracking via New Data-driven Connections of Cartan Type for Vascular Tree Tracking

Nicky van den Berg, Bart Smets, Gautam Pai, Jean-Marie Mirebeau, and Remco Duits 

Journal of Mathematical Imaging and Vision (JMIV), 2024

Functional Properties of PDE-Based Group Equivariant Convolutional Neural Networks

Gautam Pai, Gijs Bellaard, Bart M. N. Smets and Remco Duits 

International Conference on Geometric Science of Information (GSI), 2023  Slides

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

Gijs Bellaard, Daan L. J. Bon, Gautam Pai, Bart M. N. Smets and Remco Duits 

Journal of Mathematical Imaging and Vision (JMIV), 2023

Geometric Adaptations of PDE-G-CNNs

Gijs Bellaard, Gautam Pai, Javier Olivan Bescos and Remco Duits , International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2023, Poster

Implicit Field Supervision for Robust Non-Rigid Shape Matching 

Ramana Sundararaman, Gautam Pai, and Maks Ovsjanikov 

European Conference on Computer Vision (ECCV) 2022  (oral presentation)

Supplementary, Code, Slides, Poster

Deep Isometric Maps

Gautam Pai, Alex Bronstein, Ronen Talmon and Ron Kimmel,  

Elsevier - Image and Vision Computing (Special Issue on Learning with Manifolds in Computer Vision), 2022. Code

DPFM: Deep Partial Functional Maps

Souhaib Attaiki, Gautam Pai and Maks Ovsjanikov, International Conference on 3D Vision (3DV) 2021 (oral presentation) (Best paper award)

Supplementary, Code, Video, Poster

Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence with Functional Maps

Gautam Pai, Jing Ren, Simone Melzi, Peter Wonka and Maks Ovsjanikov, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021

Supplementary, Code, Poster, Video

Deep Eikonal Solvers

Moshe Lichtenstein, Gautam Pai, Ron Kimmel, International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2019 (Best paper award) Slides

DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling

Gautam Pai, Ronen Talmon, Alex Bronstein and Ron Kimmel, IEEE Winter Conference On Applications Of Computer Vision (WACV) 2019 Poster, Slides, Code

Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator

Yoni Choukroun, Gautam Pai, Ron Kimmel, Journal of Mathematical Imaging and Vision (JMIV), 2018. Poster, Slides, Short Version (presented at the Symposium on Geometry Processing (SGP) - 2017) 

Learning Invariant Representations of Planar Curves

Gautam Pai, Aaron Wetzler, Ron Kimmel, International Conference on Learning Representations (ICLR) 2017 Poster 

Symmetric Smoothing Filters from Global Consistency Constraints

Sk. Mohammadul Haque*, Gautam Pai*, Venu Madhav Govindu, IEEE Transactions on Image Processing, 2015, *Equal Contribution, Slides, ProjectPage

Camera based respiration rate of neonates by modeling movement of chest and abdomen region

Vishnu Makkapati, Pujita Raman, Gautam Pai, IEEE - International Conference on Signal Processing and Communications (SPCOM) 2016