Robin Magnet
PhD Student, École Polytechnique

I am a third year PhD student in computer vision at the LIX laboratory (GeoVic team) in the computer science department of École Polytechnique in France. I am working on analyzing the variability within collections of 3D shapes under the supervision of Maks Ovsjanikov. I have a master's degree in applied mathematics from Ecole Centrale Paris and a master's degree in Mathematics, Vision and Learning from ENS Paris-Saclay.

Email : rmagnet@lix.polytechnique.fr

News

My package PyFM has been released on PyPI in version 1.0.0.

Our paper Scalable and Simplified Functional Map Learning with Maks Ovsjanikov has been accepted at CVPR 2024.

I did a Research Scientist Internship at Meta Reality Labs in Pittsburgh

Our paper Assessing craniofacial growth and form without landmarks: A new automatic approach based on spectral methods with Kevin Bloch, Maxime Taverne, Simone Melzi, Maya Geoffroy, Roman H. Khonsari and Maks Ovsjanikov has been published in the Journal of Morphology.

Our paper Scalable and Efficient Functional Map Computations on Dense Meshes with Maks Ovsjanikov has been accepted at Eurographics 2023.

I starded a position of Teaching Assistant for class INF631 - Analysis and Deep Learning on Geometric Data (2022-2023) at Ecole Polytechnique

I starded a position of Teaching Assistant for class INF573 - Image Analysis and Computer Vision (2022-2023) at Ecole Polytechnique

Our paper Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization has received the best paper award at 3DV 2022

see more

Our paper Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization with Jing Ren, Olga Sorkine-Hornung and Maks Ovsjanikov has been accepted at 3DV 2022 as an oral presentation

I starded a position of Teaching Assistant for class INF473V - Modal d'informatique - Deep Learning in Computer Vision (2021-2022) at Ecole Polytechnique

I starded a position of Teaching Assistant for class INF573 - Image Analysis and Computer Vision (2021-2022) at Ecole Polytechnique

Our paper DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds with Maks Ovsjanikov has been accepted at ICCV 2021


Research

Scalable and Simplified Functional Map Learning

Robin Magnet, Maks Ovsjanikov
Proc. International Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[pdf] [suppl]

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

[pdf]

Scalable and Efficient Functional Map Computations on Dense Meshes

Robin Magnet, Maks Ovsjanikov
Proc. Eurographics, 2023 (Oral)

[pdf]

Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization

Robin Magnet, Jing Ren, Olga Sorkine-Hornung, Maks Ovsjanikov
International Conference on 3D Vision (3DV), 2022 (Oral)
Best paper award

[pdf] [supplementary]

DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds

Robin Magnet, Maks Ovsjanikov
Proc. International Conference on Computer Vision (ICCV), 2021

[pdf] [supplementary]


Code

Python bindings for functional maps related computations.

Some python wrappers for easier visualization using the meshplot package

Python bindings for Discrete Optimization and Smooth Discrete Optimization.