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cs.CV2026

A Two-Stage Multitask Vision-Language Framework for Explainable Crop Disease Visual Question Answering

Md. Zahid Hossain, Most. Sharmin Sultana Samu, Md. Rakibul Islam +1

Visual question answering (VQA) for crop disease analysis requires accurate visual understanding and reliable language generation. In this work, we present a lightweight and explai…

cs.CV2025

FUSE: Unifying Spectral and Semantic Cues for Robust AI-Generated Image Detection

Md. Zahid Hossain, Most. Sharmin Sultana Samu, Md. Kamrozzaman Bhuiyan +2

The fast evolution of generative models has heightened the demand for reliable detection of AI-generated images. To tackle this challenge, we introduce FUSE, a hybrid system that c…

cs.CV2025

BeHGAN: Bengali Handwritten Word Generation from Plain Text Using Generative Adversarial Networks

Md. Rakibul Islam, Md. Kamrozzaman Bhuiyan, Safwan Muntasir +2

Handwritten Text Recognition (HTR) is a well-established research area. In contrast, Handwritten Text Generation (HTG) is an emerging field with significant potential. This task is…

cs.CV2025

Explainable AI-Driven Detection of Human Monkeypox Using Deep Learning and Vision Transformers: A Comprehensive Analysis

Md. Zahid Hossain, Md. Rakibul Islam, Most. Sharmin Sultana Samu

Since mpox can spread from person to person, it is a zoonotic viral illness that poses a significant public health concern. It is difficult to make an early clinical diagnosis beca…

cs.CV2025

Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2

Md. Rakibul Islam, Md. Zahid Hossain, Mustofa Ahmed +1

Radiology plays a pivotal role in modern medicine due to its non-invasive diagnostic capabilities. However, the manual generation of unstructured medical reports is time consuming…