59 citations · 62 across the 9 of their papers we have counts for
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cs.CV2017
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling
Gautam Pai, Ronen Talmon, Alex Bronstein +1
This paper explores a fully unsupervised deep learning approach for computing distance-preserving maps that generate low-dimensional embeddings for a certain class of manifolds. We…
cs.CV2017
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator
Yoni Choukroun, Gautam Pai, Ron Kimmel
The discrete Laplace operator is ubiquitous in spectral shape analysis, since its eigenfunctions are provably optimal in representing smooth functions defined on the surface of the…