5 papers
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…
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…
Beyond Visual Similarity: Rule-Guided Multimodal Clustering with explicit domain rules
Kishor Datta Gupta, Mohd Ariful Haque, Marufa Kamal +3
Traditional clustering techniques often rely solely on similarity in the input data, limiting their ability to capture structural or semantic constraints that are critical in many…
SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment
Ariful Haque, Sunzida Siddique, Md. Mahfuzur Rahman +5
The integration of Large Language Models (LLMs) such as GitHub Copilot, ChatGPT, Cursor AI, and Codeium AI into software development has revolutionized the coding landscape, offeri…
Accurate Water Level Monitoring in AWD Rice Cultivation Using Convolutional Neural Networks
Ahmed Rafi Hasan, Niloy Kumar Kundu, Saad Hasan +2
The Alternate Wetting and Drying (AWD) method is a rice-growing water management technique promoted as a sustainable alternative to Continuous Flooding (CF). Climate change has pla…