We present a novel framework for organizing large collections of images in a hierarchical way, based on scene semantics. Rather than score images directly, we use them to score th...
Boris Epshtein, Eyal Ofek, Yonatan Wexler, Pusheng...
Recommendation systems have become very popular but most recommendation methods are `hard-wired' into the system making experimentation with and implementation of new recomme...
Georgia Koutrika, Benjamin Bercovitz, Hector Garci...
In previous work, we proposed a Hoare Type Theory (HTT) which combines effectful higher-order functions, dependent types and Hoare Logic specifications into a unified framework. H...
Aleksandar Nanevski, Greg Morrisett, Lars Birkedal
Modern structure from motion techniques are capable of building city-scale 3D reconstructions from large image collections, but have mostly ignored the problem of largescale struc...
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...