Almost Local Metrics on Shape Space of Hypersurfaces in n-Space. - Martin Bauer 004; Philipp Harms; Peter W. Michor (SIAM J. Imaging Sci., 2012)

Overview of the Geometries of Shape Spaces and Diffeomorphism Groups. - Martin Bauer 004; Martins Bruveris; Peter W. Michor (J. Math. Imaging Vis., 2014)

Homogeneous Sobolev Metric of Order One on Diffeomorphism Groups on Real Line. - Martin Bauer 004; Martins Bruveris; Peter W. Michor (J. Nonlinear Sci., 2014)

Landmark-Guided Elastic Shape Analysis of Human Character Motions. - Martin Bauer 004; Markus Eslitzbichler; Markus Grasmair (CoRR, 2015)

Optical Flow on Moving Manifolds. - Martin Bauer 004; Markus Grasmair; Clemens Kirisits (SIAM J. Imaging Sci., 2015)

Diffeomorphic Density Matching by Optimal Information Transport. - Martin Bauer 004; Sarang C. Joshi; Klas Modin (SIAM J. Imaging Sci., 2015)

The Square Root Velocity Framework for Curves in a Homogeneous Space. - Zhe Su; Eric Klassen; Martin Bauer 004 (CVPR Workshops, 2017)

Diffeomorphic Random Sampling Using Optimal Information Transport. - Martin Bauer 004; Sarang C. Joshi; Klas Modin (GSI, 2017)

Varifold-Based Matching of Curves via Sobolev-Type Riemannian Metrics. - Martin Bauer 004; Martins Bruveris; Nicolas Charon; Jakob Møller-Andersen (GRAIL/MFCA/MICGen@MICCAI, 2017)

A Numerical Framework for Sobolev Metrics on the Space of Curves. - Martin Bauer 004; Martins Bruveris; Philipp Harms; Jakob Møller-Andersen (SIAM J. Imaging Sci., 2017)

An inexact matching approach for the comparison of plane curves with general elastic metrics. - Yashil Sukurdeep; Martin Bauer 004; Nicolas Charon (ACSSC, 2019)

Inexact Elastic Shape Matching in the Square Root Normal Field Framework. - Martin Bauer 004; Nicolas Charon; Philipp Harms (GSI, 2019)

Simplifying Transformations for a Family of Elastic Metrics on the Space of Surfaces. - Zhe Su; Martin Bauer 004; Eric Klassen; Kyle A. Gallivan (CVPR Workshops, 2020)

Shape Analysis of Surfaces Using General Elastic Metrics. - Zhe Su; Martin Bauer 004; Stephen C. Preston; Hamid Laga; Eric Klassen (J. Math. Imaging Vis., 2020)

Supervised Deep Learning of Elastic SRV Distances on the Shape Space of Curves. - Emmanuel Hartman; Yashil Sukurdeep; Nicolas Charon; Eric Klassen; Martin Bauer 004 (CVPR Workshops, 2021)

Structural Connectome Atlas Construction in the Space of Riemannian Metrics. - Kristen M. Campbell; Haocheng Dai; Zhe Su; Martin Bauer 004; P. Thomas Fletcher; Sarang C. Joshi (IPMI, 2021)

Physics Informed Convex Artificial Neural Networks (PICANNs) for Optimal Transport based Density Estimation. - Amanpreet Singh; Martin Bauer 004; Sarang C. Joshi (CoRR, 2021)

Integrated Construction of Multimodal Atlases with Structural Connectomes in the Space of Riemannian Metrics. - Kristen M. Campbell; Haocheng Dai; Zhe Su; Martin Bauer 004; P. Thomas Fletcher; Sarang C. Joshi (CoRR, 2021)

A Numerical Framework for Elastic Surface Matching, Comparison, and Interpolation. - Martin Bauer 004; Nicolas Charon; Philipp Harms; Hsi-Wei Hsieh (Int. J. Comput. Vis., 2021)

Deep Learning the Shape of the Brain Connectome. - Haocheng Dai; Martin Bauer 004; P. Thomas Fletcher; Sarang C. Joshi (CoRR, 2022)

A Geometric View on the Generalized Proudman-Johnson and r-Hunter-Saxton Equations. - Martin Bauer 004; Yuxiu Lu; Cy Maor (J. Nonlinear Sci., 2022)

A New Variational Model for Shape Graph Registration with Partial Matching Constraints. - Yashil Sukurdeep; Martin Bauer 004; Nicolas Charon (SIAM J. Imaging Sci., 2022)

BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes. - Emmanuel Hartman; Emery Pierson; Martin Bauer 004; Nicolas Charon; Mohamed Daoudi (ICCV, 2023)

Modeling the Shape of the Brain Connectome via Deep Neural Networks. - Haocheng Dai; Martin Bauer 004; P. Thomas Fletcher; Sarang C. Joshi (IPMI, 2023)

Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework. - Emmanuel Hartman; Yashil Sukurdeep; Eric Klassen; Nicolas Charon; Martin Bauer 004 (Int. J. Comput. Vis., 2023)

Correction to: A Geometric View on the Generalized Proudman-Johnson and r-Hunter-Saxton Equations. - Martin Bauer 004; Yuxiu Lu; Cy Maor (J. Nonlinear Sci., 2023)

The Z-Gromov-Wasserstein Distance. - Martin Bauer 004; Facundo Mémoli; Tom Needham; Mao Nishino (CoRR, 2024)

Self Supervised Networks for Learning Latent Space Representations of Human Body Scans and Motions. - Emmanuel Hartman; Nicolas Charon; Martin Bauer 004 (CoRR, 2024)

Square Root Normal Fields for Lipschitz Surfaces and the Wasserstein Fisher Rao Metric. - Emmanuel Hartman; Martin Bauer 004; Eric Klassen (SIAM J. Math. Anal., 2024)

Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms. - Martin Bauer 004; Nicolas Charon; Eric Klassen; Sebastian Kurtek; Tom Needham; Thomas Pierron (J. Nonlinear Sci., 2024)

Basis Restricted Elastic Shape Analysis on the Space of Unregistered Surfaces. - Emmanuel Hartman; Emery Pierson; Martin Bauer 004; Mohamed Daoudi; Nicolas Charon (Int. J. Comput. Vis., 2025)