Search Results for author: Amit Boyarski

Found 6 papers, 4 papers with code

Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings

1 code implementation31 Jan 2022 Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin

Two popular alternatives that offer a good trade-off between expressive power and computational efficiency are combinatorial (i. e., obtained via the Weisfeiler-Leman (WL) test) and spectral invariants.

Computational Efficiency Isomorphism Testing +1

Spectral Geometric Matrix Completion

1 code implementation17 Nov 2019 Amit Boyarski, Sanketh Vedula, Alex Bronstein

Deep Matrix Factorization (DMF) is an emerging approach to the problem of matrix completion.

Matrix Completion Recommendation Systems

Subspace Least Squares Multidimensional Scaling

1 code implementation11 Sep 2017 Amit Boyarski, Alex M. Bronstein, Michael M. Bronstein

Multidimensional Scaling (MDS) is one of the most popular methods for dimensionality reduction and visualization of high dimensional data.

Computational Geometry

Efficient Deformable Shape Correspondence via Kernel Matching

1 code implementation25 Jul 2017 Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alex Bronstein, Michael Bronstein, Ron Kimmel, Daniel Cremers

We present a method to match three dimensional shapes under non-isometric deformations, topology changes and partiality.

Inspiring Computer Vision System Solutions

no code implementations22 Jul 2017 Julian Zilly, Amit Boyarski, Micael Carvalho, Amir Atapour Abarghouei, Konstantinos Amplianitis, Aleksandr Krasnov, Massimiliano Mancini, Hernán Gonzalez, Riccardo Spezialetti, Carlos Sampedro Pérez, Hao Li

Reviewing this project with modern eyes provides us with the opportunity to reflect on several issues, relevant now as then to the field of computer vision and research in general, that go beyond the technical aspects of the work.

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