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 research is primarily related to geometric (3D) shape analysis and processing with emphasis on non-rigid shape matching and comparison. In the past, I have worked on methods for dynamic registration, non-rigid shape-matching, shape comparison, retrieval and symmetry detection, among other things. 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 2018

    Our paper on: Spectral Measures of Distortion for Change Detection in Dynamic Graphs has been accepted to the Complex Networks 2018 conference as an Oral paper. The preprint will soon be on my Publications page.

September 2018

    Two of our papers: Multi-directional Geodesic Neural Networks via Equivariant Convolution and Continuous and Orientation-preserving Correspondences via Functional Maps have been accepted to SIGGRAPH Asia 2018. Their preprints can now be found on my Publications page.

    I co-organized a tutorial on Functional Maps at ECCV 2018 in Munich. Our tutorial covered the basics of the functional maps representation and its applications in Computer Vision. The slides from all the presentations are now available on the dedicated tutorial website

    Our paper on Joint Graph Layouts for Visualizing Collections of Segmented Meshes has been selected as the Spotlight paper for the September 2018 issue of the TVCG journal.

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