Emmanuel Hartman

Orcid: 0000-0002-5754-2930

According to our database¹, Emmanuel Hartman authored at least 9 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2025

SVarM: Linear Support Varifold Machines for Classification and Regression on Geometric Data.

[BibT_eX]

[DOI]

Emmanuel Hartman

Nicolas Charon

CoRR, June, 2025

Basis Restricted Elastic Shape Analysis on the Space of Unregistered Surfaces.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., April, 2025

2024

Square Root Normal Fields for Lipschitz Surfaces and the Wasserstein Fisher Rao Metric.

[BibT_eX]

[DOI]

Emmanuel Hartman

Martin Bauer

Eric Klassen

SIAM J. Math. Anal., 2024

Self Supervised Networks for Learning Latent Space Representations of Human Body Scans and Motions.

[BibT_eX]

[DOI]

Emmanuel Hartman

Nicolas Charon

Martin Bauer

CoRR, 2024

Learning from landmarks, curves, surfaces, and shapes in Geomstats.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2023

BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data.

[BibT_eX]

[DOI]

Emmanuel Hartman

Emery Pierson

Proceedings of the 16th Eurographics Workshop on 3D Object Retrieval, 3DOR 2023 - Short Papers, Lille, France, August 31, 2023

2021

Supervised Deep Learning of Elastic SRV Distances on the Shape Space of Curves.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Emmanuel Hartman

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