15 citations · 45 across the 10 of their papers we have counts for
11 papers
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction
Ron Slossberg, Ibrahim Jubran, Ron Kimmel
Many methods have been proposed over the years to tackle the task of facial 3D geometry and texture recovery from a single image. Such methods often fail to provide high-fidelity t…
Coresets for Decision Trees of Signals
Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan Newman +1
A -decision tree (or -tree) is a recursive partition of a matrix (2D-signal) into block matrices (axis-parallel rectangles, leaves) where each rectangle is assi…
Provably Approximated ICP
Ibrahim Jubran, Alaa Maalouf, Ron Kimmel +1
The goal of the \emph{alignment problem} is to align a (given) point cloud to another (observed) point cloud . That is, to compute…
Faster PAC Learning and Smaller Coresets via Smoothed Analysis
Alaa Maalouf, Ibrahim Jubran, Murad Tukan +1
PAC-learning usually aims to compute a small subset (-sample/net) from items, that provably approximates a given loss function for every query (model, classifier,…
Sets Clustering
Ibrahim Jubran, Murad Tukan, Alaa Maalouf +1
The input to the \emph{sets--means} problem is an integer and a set of sets in . The goal is to compute a set of …
Introduction to Coresets: Accurate Coresets
Ibrahim Jubran, Alaa Maalouf, Dan Feldman
A coreset (or core-set) of an input set is its small summation, such that solving a problem on the coreset as its input, provably yields the same result as solving the same problem…