Author

M. Farazi

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Preprint Sep 2026

CrowdCue: Specialist-Cue Conditioning for Vision-Language Crowd Counting

Generative vision-language models (VLMs) offer a counting paradigm in which one model produces both a count and a natural-language account of the scene, yet their raw counting accuracy sits in the range of sub-million-parameter specialist regressors. The open question is whether auxiliary guidance from a pretrained spe...

M. Farazi, B. Ciftler, Abdulhalim Dandoush et al. · 0 citations

Preprint Aug 2026

When Do VLMs Help Arabic Manuscript OCR? A Cross-Dataset Study

Vision-language models (VLMs) are increasingly being used for document understanding, yet their role in Arabic and Islamic manuscript recognition remains underexplored. To address such a gap in this paper, we evaluate traditional OCR, general-purpose VLMs, Arabic-specialized VLMs, and OCR-conditioned VLM correction acr...

M. Farazi, Firoj Alam, A. Maaradji et al. · 0 citations