Maks Ovsjanikov

I am a professor in the Computer Science department at Ecole Polytechnique in France. I am a member of the GeomeriX group, joint between the LIX research laboratory at Ecole Polytechnique and 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

April 2024

    Nicolas Donati, who did his PhD in our group was given the runner-up award (accessit) for the IDIA IP Paris Best PhD. Congratulations to Nicolas!

    Our paper on Complex Functional Maps was recognised as a top cited paper in the Computer Graphics Forum journal for the period 2022-2023.

March 2024

    Vincent Mallet, who did a postdoc in our group just received a permanent researcher position at École des Mines de Paris. Congratulations to Vincent!

February 2024

    We have four papers accepted at CVPR 2024:

    • Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features with Thomas Wimmer and Peter Wonka,
    • Scalable and Simplified Functional Map Learning with Robin Magnet
    • Self-Supervised Dual Contouring with Ramana Sundararaman and Roman Klokov
    • PoNQ: a Neural QEM-based Mesh Representation with Nissim Maruani, Pierre Alliez and Mathieu Desbrun

January 2024

    In the new year, we have three new group members: Emery Pierson as a postdoctoral researcher, as well as Diego Gomez (supported by the ERC project VEGA) and Léopold Maillard (as an industrial PhD student in partnership with Dassault Systèmes). In addition, Mazdak Abulnaga (MIT CSAIL and Harvard Medical School) came to visit us for a month as a research collaborator. Welcome to Emery, Diego, Léopold and Maz!

    I gave a talk in the GDR RADIA IFM joint meeting, held in Angers. My talk was on Robust General-Purpose Learning on Surfaces and Graphs.

December 2023

    Two of our papers: RIVQ-VAE: Discrete Rotation-invariant 3D Representation Learning with Mariem Mezghanni and Malika Boulkenafed; and Unsupervised Representation Learning for Diverse Deformable Shape Collections with Sara Hahner, Souhaib Attaiki, and Jochen Garcke have been accepted at 3DV 2024.

November 2023

    Our paper Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction with Souhaib Attaiki has been accepted at NeurIPS 2023.

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