5 citations · 15 across the 4 of their papers we have counts for
6 papers · 1 filter
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects
Hila Levi, Shimon Ullman
An image is not just a collection of objects, but rather a graph where each object is related to other objects through spatial and semantic relations. Using relational reasoning mo…
VQA with no questions-answers training
Ben-Zion Vatashsky, Shimon Ullman
Methods for teaching machines to answer visual questions have made significant progress in recent years, but current methods still lack important human capabilities, including inte…
Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures
Ben Zion Vatashsky, Shimon Ullman
An image related question defines a specific visual task that is required in order to produce an appropriate answer. The answer may depend on a minor detail in the image and requir…
Discovery and usage of joint attention in images
Daniel Harari, Joshua B. Tenenbaum, Shimon Ullman
Joint visual attention is characterized by two or more individuals looking at a common target at the same time. The ability to identify joint attention in scenes, the people involv…
Large Field and High Resolution: Detecting Needle in Haystack
Hadar Gorodissky, Daniel Harari, Shimon Ullman
The growing use of convolutional neural networks (CNN) for a broad range of visual tasks, including tasks involving fine details, raises the problem of applying such networks to a…
Cakewalk Sampling
Uri Patish, Shimon Ullman
We study the task of finding good local optima in combinatorial optimization problems. Although combinatorial optimization is NP-hard in general, locally optimal solutions are freq…