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Raja Giryes

10 papers hereh-index 5104 citations13 works total

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

author position
  • middle author5
  • last author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG1
  • eess.IV1
same name
  • Raja Giryes — 15 papers, h 6
  • Raja Giryes — 9 papers, h 4
  • Raja Giryes — 9 papers, h 2
  • Raja Giryes — 3 papers
  • Raja Giryes — 3 papers, h 1

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
20212026
most citedUnsupervised Domain Generalization by Learning a Bridge Across Domains

4 citations · 4 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

Teaching VLMs to Localize Specific Objects from In-context Examples

Sivan Doveh, Nimrod Shabtay, Wei Lin +9

Vision-Language Models (VLMs) have shown remarkable capabilities across diverse visual tasks, including image recognition, video understanding, and Visual Question Answering (VQA)…

cs.CV2024

LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content

Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh +8

The large-scale training of multi-modal models on data scraped from the web has shown outstanding utility in infusing these models with the required world knowledge to perform effe…

cs.CV2024

Comparison Visual Instruction Tuning

Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh +4

Comparing two images in terms of Commonalities and Differences (CaD) is a fundamental human capability that forms the basis of advanced visual reasoning and interpretation. It is e…

eess.IV2024

Deep Phase Coded Image Prior

Nimrod Shabtay, Eli Schwartz, Raja Giryes

Phase-coded imaging is a computational imaging method designed to tackle tasks such as passive depth estimation and extended depth of field (EDOF) using depth cues inserted during…

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