115 citations · 587 across the 62 of their papers we have counts for
18 papers · 1 filter
Supervised and Unsupervised Learning of Parameterized Color Enhancement
Yoav Chai, Raja Giryes, Lior Wolf
We treat the problem of color enhancement as an image translation task, which we tackle using both supervised and unsupervised learning. Unlike traditional image to image generator…
Meta Decision Trees for Explainable Recommendation Systems
Eyal Shulman, Lior Wolf
We tackle the problem of building explainable recommendation systems that are based on a per-user decision tree, with decision rules that are based on single attribute values. We b…
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering
Yaniv Benny, Lior Wolf
We present a method for simultaneously learning, in an unsupervised manner, (i) a conditional image generator, (ii) foreground extraction and segmentation, (iii) clustering into a…
End to End Trainable Active Contours via Differentiable Rendering
Shir Gur, Tal Shaharabany, Lior Wolf
We present an image segmentation method that iteratively evolves a polygon. At each iteration, the vertices of the polygon are displaced based on the local value of a 2D shift map…
Spectra2pix: Generating Nanostructure Images from Spectra
Itzik Malkiel, Michael Mrejen, Lior Wolf +1
The design of the nanostructures that are used in the field of nano-photonics has remained complex, very often relying on the intuition and expertise of the designer, ultimately li…
Computational Ceramicology
Barak Itkin, Lior Wolf, Nachum Dershowitz
Field archeologists are called upon to identify potsherds, for which purpose they rely on their experience and on reference works. We have developed two complementary machine-learn…