Robin Magnet
Postdoctoral Researcher · Inria Paris

I am currently a postdoc with Jean Feydy in the HeKA group at Inria Paris, where I work on shape and volume analysis with medical imaging, applied to bone fracture detection.

Before that, I obtained my PhD under the supervision of Maks Ovsjanikov at École Polytechnique (in the GeomeriX Team at LIX), studying scalable shape comparison using functional maps and spectral methods.

I am also the maintainer of pyFM, a Python library for functional maps computations.

News

April 2026 Our paper on Implicit Minimal Surfaces for Bijective Correspondences with Etienne Corman, Yousuf Soliman, and Mark Gillespie has been accepted at SIGGRAPH 2026
April 2026 Our paper on Sinkhorn Normalization of Diffusion Kernels with Nathan Kessler and Jean Feydy has been accepted at ICML 2026.
January 2026 Our paper on Unified Brain Surface and Volume Registration has been accepted at ICLR 2026.
Jul 2025 I gave a graduate school class at the SGP Summer School 2025 in Bilbao on Robust Methods for Non-Rigid Spectral Shape Matching. Replay available here.
2025 I presented my work at IABM 2025 in Nice.
Jan 2025 I released a Python implementation of Reversible Harmonic Maps — check it out here.
All news

Publications

SIGGRAPH 2026
Implicit Minimal Surfaces for Bijective Correspondences
SIGGRAPH 2026 (TOG)
ICML 2026
Sinkhorn Normalization of Diffusion Kernels
Nathan Kessler*, Robin Magnet*, Jean Feydy
ICML 2026 · International Conference on Machine Learning
@inproceedings{kesslerSinkhornNormalizationDiffusion2026,
  title = {Sinkhorn Normalization of Diffusion Kernels},
  booktitle = {2026 International Conference on Machine Learning (ICML)},
  author = {Kessler, Nathan and Magnet, Robin and Feydy, Jean},
  year = 2026,
  publisher = {ICML},}
ICLR 2026
Unified Brain Surface and Volume Registration
ICLR 2026 · International Conference on Learning Representations
@inproceedings{abulnagaUnifiedBrainSurface2026,
  title = {Unified Brain Surface and Volume Registration},
  booktitle = {2026 International Conference on Learning Representations (ICLR)},
  author = {Abulnaga, S Mazdak and Hoopes, Andrew and Hoffmann, Malte and Magnet, Robin and Ovsjanikov, Maks and Z{\"o}llei, Lilla and Guttag, John and Fischl, Bruce and Dalca, Adrian V},
  year = 2026,
  publisher = {ICLR},
}
PhD Thesis
Robust Spectral Methods for Shape Analysis and Deformation Assessment
Robin Magnet
Ph.D. dissertation, Institut Polytechnique de Paris, 2024
@phdthesis{magnet2024robust,
  title  = {Robust Spectral Methods for Shape Analysis
            and Deformation Assessment},
  author = {Magnet, Robin},
  school = {Institut Polytechnique de Paris},
  year   = {2024}
}
CVPR 2024
Scalable and Simplified Functional Map Learning
Robin Magnet, Maks Ovsjanikov
CVPR 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition
@inproceedings{magnetMemoryScalableSimplifiedFunctional2024,
  title = {Memory-{{Scalable}} and {{Simplified Functional Map Learning}}},
  booktitle = {2024 {{IEEE}}/{{CVF Conference}} on {{Computer Vision}} and {{Pattern Recognition}} ({{CVPR}})},
  author = {Magnet, Robin and Ovsjanikov, Maks},
  year = 2024,
  publisher = {IEEE},
  doi = {10.1109/CVPR52733.2024.00387},
}
Journal of Morphology 2023
Assessing Craniofacial Growth and Form Without Landmarks: A New Automatic Approach Based on Spectral Methods
Robin Magnet, Kevin Bloch, Maxime Taverne, Simone Melzi, Maya Geoffroy, Roman H. Khonsari, Maks Ovsjanikov
Journal of Morphology, 2023
@article{magnet2023assessing,
  title   = {Assessing Craniofacial Growth and Form Without Landmarks:
             A New Automatic Approach Based on Spectral Methods},
  author  = {Magnet, Robin and Bloch, Kevin and Taverne, Maxime and
             Melzi, Simone and Geoffroy, Maya and Khonsari, Roman H.
             and Ovsjanikov, Maks},
  journal = {Journal of Morphology},
  year    = {2023}
}
Eurographics 2023
Scalable and Efficient Functional Map Computations on Dense Meshes
Robin Magnet, Maks Ovsjanikov
Eurographics 2023 · Oral presentation
@article{magnetScalableEfficientFunctional2023,
  title = {Scalable and {{Efficient Functional Map Computations}} on {{Dense Meshes}}},
  author = {Magnet, Robin and Ovsjanikov, Maks},
  year = 2023,
  journal = {Computer Graphics Forum},
  doi = {10.1111/cgf.14746}
}
3DV 2022
Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization
3DV 2022 · International Conference on 3D Vision · Oral presentation
🏆 Best Paper Award
@inproceedings{magnetSmoothNonRigidShape2022,
  title = {Smooth {{Non-Rigid Shape Matching}} via {{Effective Dirichlet Energy Optimization}}},
  booktitle = {2022 {{International Conference}} on {{3D Vision}} ({{3DV}})},
  author = {Magnet, Robin and Ren, Jing and {Sorkine-Hornung}, Olga and Ovsjanikov, Maks},
  year = 2022,
  publisher = {IEEE},
  doi = {10.1109/3DV57658.2022.00061},
}
ICCV 2021
DWKS: A Local Descriptor of Deformations Between Meshes and Point Clouds
Robin Magnet, Maks Ovsjanikov
ICCV 2021 · IEEE/CVF International Conference on Computer Vision
@inproceedings{magnetDWKSLocalDescriptor2021,
  title = {{{DWKS}} : {{A Local Descriptor}} of {{Deformations Between Meshes}} and {{Point Clouds}}},
  shorttitle = {{{DWKS}}},
  booktitle = {2021 {{IEEE}}/{{CVF International Conference}} on {{Computer Vision}} ({{ICCV}})},
  author = {Magnet, Robin and Ovsjanikov, Maks},
  year = 2021,
  doi = {10.1109/ICCV48922.2021.00377},
}

Code

Python bindings for functional maps related computations. Core library for shape correspondence.
A lightweight library for a memory-scalable unified representation of correspondences.
GPU-compatible Python implementation of Reversible Harmonic Maps between discrete surfaces.
Python bindings for Discrete Optimization and Smooth Discrete Optimization for functional maps.