1 citations · 1 across the 3 of their papers we have counts for
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Multimodal diffusion geometry by joint diagonalization of Laplacians
Davide Eynard, Klaus Glashoff, Michael M. Bronstein +1
We construct an extension of diffusion geometry to multiple modalities through joint approximate diagonalization of Laplacian matrices. This naturally extends classical data analys…
Multimodal similarity-preserving hashing
Jonathan Masci, Michael M. Bronstein, Alexander A. Bronstein +1
We introduce an efficient computational framework for hashing data belonging to multiple modalities into a single representation space where they become mutually comparable. The pr…
SHREC 2011: robust feature detection and description benchmark
E. Boyer, A. M. Bronstein, M. M. Bronstein +15
Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 r…
A correspondence-less approach to matching of deformable shapes
Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein
Finding a match between partially available deformable shapes is a challenging problem with numerous applications. The problem is usually approached by computing local descriptors…
Affine-invariant geodesic geometry of deformable 3D shapes
Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein +2
Natural objects can be subject to various transformations yet still preserve properties that we refer to as invariants. Here, we use definitions of affine invariant arclength for s…
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes
Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein +2
We introduce an (equi-)affine invariant diffusion geometry by which surfaces that go through squeeze and shear transformations can still be properly analyzed. The definition of an…