Maks Ovsjanikov

I am a professor in the Computer Science department at Ecole Polytechnique in France. I am a member of the GeoViC group at the LIX research laboratory of Ecole Polytechnique and an associate member (external collaborator) of the DataShape team at INRIA. My current research is mainly supported by my ERC Starting Grant: EXPROTEA.

My research is primarily related to geometric (3D) shape analysis with emphasis on Deep Learning for non-rigid shape comparison and processing. In the past, I have worked on topics including shape classification and retrieval, non-rigid shape-matching, comparison, denoising and symmetry detection especially on 3D point cloud and triangle mesh data. I'm also very interested in image processing, Computer Graphics and Computer Vision in general. You can find some of my work on the Publications page.

Recent News

January 2021

    We are organizing a Tutorial on Inverse Spectral Geometry at Eurographics 2021. This tutorial will overview the recent (very exciting!) developments in recovering geometry from spectral quantities. A preliminary description can be found on the Eurographics website. Please join us if you are interested in how to hear the shape of the drum.

    Our paper Orthogonalized Fourier Polynomials for Signal Approximation and Transfer with the colleagues from Sapienza University of Rome and ICL has been accepted at Eurographics 2021. The code, prepared by Filippo Maggioli is available here.

December 2020

November 2020

archive >>