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Mubarak Shah

9 papers hereh-index 448 citations12 works total

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

author position
  • middle author1
  • last author8

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

fields
  • cs.CV6
  • cs.MA1
  • eess.IV1
  • eess.SP1
same name
  • Mubarak Shah — 15 papers, h 6
  • Mubarak Shah — 15 papers, h 7
  • Mubarak Shah — 13 papers, h 9
  • Mubarak Shah — 11 papers, h 5
  • Mubarak Shah — 11 papers, h 3
  • Mubarak Shah — 8 papers, h 2

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
20232026
collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Pixel-wise Geo-registration of Drone and Satellite Images

Qingyang Liu, David G Shatwell, Parth Parag Kulkarni +1

Pixel-level cross-view geo-registration aims to align a query image (e.g., drone) to a geo-referenced satellite map so that every query pixel can be mapped to real-world GPS coordi…

cs.CV2026

Controlling Embedding Spaces with Text-Conditioned Transformations

Joseph Fioresi, Fabian Caba Heilbron, Pankaj Nathani +2

Multimodal embedding spaces in models like CLIP enable powerful capabilities such as semantic similarity retrieval and cross-modal zero-shot classification. These embeddings compre…

eess.IV2026

MedRoute: RL-Based Dynamic Specialist Routing in Multi-Agent Medical Diagnosis

Ashmal Vayani, Parth Parag Kulkarni, Joseph Fioresi +2

Medical diagnosis using Large Multimodal Models (LMMs) has gained increasing attention due to capability of these models in providing precise diagnoses. These models generally comb…

cs.MA2026

Learning to Share: Selective Memory for Efficient Parallel Agentic Systems

Joseph Fioresi, Parth Parag Kulkarni, Ashmal Vayani +2

Agentic systems solve complex tasks by coordinating multiple agents that iteratively reason, invoke tools, and exchange intermediate results. To improve robustness and solution qua…

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