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Raja Giryes

9 papers hereh-index 223 citations9 works total

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

author position
  • middle author5
  • last author4

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.SD2
  • cs.AI1
  • cs.LG1
  • eess.IV1
same name
  • Raja Giryes — 15 papers, h 6
  • Raja Giryes — 10 papers, h 5
  • Raja Giryes — 9 papers, h 4
  • 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

most citedProtoSAM: One-Shot Medical Image Segmentation With Foundational Models

2 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Do multimodal models imagine electric sheep?

Santhosh Kumar Ramakrishnan, Carl Vondrick, Raja Giryes +2

Yes. We find that large multimodal models develop mental imagery when solving spatial puzzles, and they do imagine sheep when solving sheep puzzles. We fine-tune a Qwen3.5 VLM to s…

cs.CV2026

Video Analysis and Generation via a Semantic Progress Function

Gal Metzer, Sagi Polaczek, Ali Mahdavi-Amiri +2

Transformations produced by image and video generation models often evolve in a highly non-linear manner: long stretches where the content barely changes are followed by sudden, ab…

cs.CV2026

Anatomical Token Uncertainty for Transformer-Guided Active MRI Acquisition

Lev Ayzenberg, Shady Abu-Hussein, Raja Giryes +1

Full data acquisition in MRI is inherently slow, which limits clinical throughput and increases patient discomfort. Compressed Sensing MRI (CS-MRI) seeks to accelerate acquisition…

cs.CV2024★ 2 cited

ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models

Lev Ayzenberg, Raja Giryes, Hayit Greenspan

This work introduces a new framework, ProtoSAM, for one-shot medical image segmentation. It combines the use of prototypical networks, known for few-shot segmentation, with SAM - a…

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