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

August 2021

    I'm very happy to have two papers accepted at SIGGRAPH Asia 2021: Differentiable Surface Triangulation with Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, and Paul Guerrero, and Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis with Jing Ren, Biao Zhang, Bojian Wu, Jianqiang Huang, Lubin Fan and Peter Wonka.

July 2021

    Our paper on DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds with Robin Magnet has been accepted at ICCV.

    Our paper on Spectral Shape Recovery and Analysis Via Data-driven Connections with Riccardo Marin, Arianna Rampini, Umberto Castellani, Rodolà and Simone Melzi has been accepted to the International Journal of Computer Vision (IJCV).

    I gave a talk in the London Geometry and Machine Learning Summer School on Robust learning-based methods for shape correspondence. The talk (among many other amazing talks and materials) is available on the summer school website

June 2021

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