Maks Ovsjanikov

I am a professor in the Computer Science department at Ecole Polytechnique in France. I am a member of the STREAM 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

October 2020

    Our paper on Instant recovery of shape from spectrum via latent space connections has been accepted as an oral to 3DV 2020.

September 2020

    Two of our papers Weakly Supervised Deep Functional Map for Shape Matching and Correspondence learning via linearly-invariant embedding have been accepted at NeurIPS 2020.

August 2020

    Our paper MapTree: Recovering Multiple Solutions in the Space of Maps has been accepted at SIGGRAPH Asia 2020.

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