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Daniel Harari

Weizmann Institute of Science

6 papers hereh-index 9548 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI1
  • q-bio.NC1
affiliations
  • Weizmann Institute of Science
  • Massachusetts Institute of Technology
HomepageORCID 0000-0003-4745-9292
same name
  • Daniel Harari — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedA model for full local image interpretation

5 citations · 7 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2018

Using Motion and Internal Supervision in Object Recognition

Daniel Harari

In this thesis we address two related aspects of visual object recognition: the use of motion information, and the use of internal supervision, to help unsupervised learning. These…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2016

Do You See What I Mean? Visual Resolution of Linguistic Ambiguities

Yevgeni Berzak, Andrei Barbu, Daniel Harari +2

Understanding language goes hand in hand with the ability to integrate complex contextual information obtained via perception. In this work, we present a novel task for grounded la…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.