95 citations · 388 across the 49 of their papers we have counts for
7 papers · 2 filters
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…
CoBe -- Coded Beacons for Localization, Object Tracking, and SLAM Augmentation
Roman Rabinovich, Ibrahim Jubran, Aaron Wetzler +1
This paper presents a novel beacon light coding protocol, which enables fast and accurate identification of the beacons in an image. The protocol is provably robust to a predefined…
Efficient Deformable Shape Correspondence via Kernel Matching
Zorah Lähner, Matthias Vestner, Amit Boyarski +8
We present a method to match three dimensional shapes under non-isometric deformations, topology changes and partiality. We formulate the problem as matching between a set of pair-…
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…
A Deep Learning Perspective on the Origin of Facial Expressions
Ran Breuer, Ron Kimmel
Facial expressions play a significant role in human communication and behavior. Psychologists have long studied the relationship between facial expressions and emotions. Paul Ekman…
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
Matan Sela, Elad Richardson, Ron Kimmel
It has been recently shown that neural networks can recover the geometric structure of a face from a single given image. A common denominator of most existing face geometry reconst…