Maks Ovsjanikov

Maks Ovsjanikov

Ecole Polytechnique

Maks Ovsjanikov is a Professor at Ecole Polytechnique in France. He works on 3D shape analysis with emphasis on shape matching and correspondence. He has received a Eurographics Young Researcher Award in 2014 “in recognition of his outstanding contributions to theoretical foundations of non-rigid shape matching”. In 2017 he received an ERC Starting Grant from the European Commission and in 2018 a Bronze Medal from the French National Center for Scientific Research (CNRS) for research contributions in Computer Science. His main research topics include 3D shape comparison and deep learning on 3D data.

Efficient spectral methods for non-rigid shape comparison

In this talk I will describe several recent works for accurate non-rigid 3D shape matching and comparison. I will highlight several recent architectures, focusing especially on spectral methods, that are well adapted to computing dense correspondences across a variety of settings. My ultimate goal will be to show that these techniques are becoming remarkably robust and universally applicable and useful.