3 papers
cs.CV2026
TriCLE: Tri-Modal Vision-Language Reasoning for Edge-Deployed Fine-Grained Clustering
Kishor Datta Gupta, Md. Mahfuzur Rahman, Fahad Rahman +4
Edge platforms used for aerial observation must interpret aircraft imagery under limited memory, limited compute, and intermittent connectivity. This setting is difficult for stand…
cs.LG2025
TinyLLM: Evaluation and Optimization of Small Language Models for Agentic Tasks on Edge Devices
Mohd Ariful Haque, Fahad Rahman, Kishor Datta Gupta +2
This paper investigates the effectiveness of small language models (SLMs) for agentic tasks (function/tool/API calling) with a focus on running agents on edge devices without relia…
cs.CV2025
VLCE: A Knowledge-Enhanced Framework for Image Description in Disaster Assessment
Md. Mahfuzur Rahman, Kishor Datta Gupta, Marufa Kamal +5
General-purpose vision-language models (VLMs) such as LLaVA and QwenVL produce descriptions of disaster imagery that lack domain-specific vocabulary and actionable detail. We propo…