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  1. Chapter and Conference Paper

    MADMM: A Generic Algorithm for Non-smooth Optimization on Manifolds

    Numerous problems in computer vision, pattern recognition, and machine learning are formulated as optimization with manifold constraints. In this paper, we propose the Manifold Alternating Directions Method of Mu...

    Artiom Kovnatsky, Klaus Glashoff, Michael M. Bronstein in Computer Vision – ECCV 2016 (2016)

  2. Chapter and Conference Paper

    Stable Spectral Mesh Filtering

    The rapid development of 3D acquisition technology has brought with itself the need to perform standard signal processing operations such as filters on 3D data. It has been shown that the eigenfunctions of the...

    Artiom Kovnatsky, Michael M. Bronstein in Computer Vision – ECCV 2012. Workshops and… (2012)

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    Chapter and Conference Paper

    Photometric Heat Kernel Signatures

    In this paper, we explore the use of the diffusion geometry framework for the fusion of geometric and photometric information in local heat kernel signature shape descriptors. Our construction is based on the ...

    Artiom Kovnatsky, Michael M. Bronstein in Scale Space and Variational Methods in Com… (2012)