9 citations · 9 across the 6 of their papers we have counts for
7 papers · 1 filter
Virtual Try-On for Cultural Clothing: A Benchmarking Study
Muhammad Tausif Ul Islam, Shahir Awlad, Sameen Yeaser Adib +3
Although existing virtual try-on systems have made significant progress with the advent of diffusion models, the current benchmarks of these models are based on datasets that are d…
From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet
Radib Bin Kabir, Tawsif Tashwar Dipto, Mehedi Ahamed +2
Spiking Neural Networks (SNNs) are increasingly studied as energy-efficient alternatives to Convolutional Neural Networks (CNNs), particularly for edge intelligence. However, prior…
VisionTrap: Unanswerable Questions On Visual Data
Asir Saadat, Syem Aziz, Shahriar Mahmud +2
Visual Question Answering (VQA) has been a widely studied topic, with extensive research focusing on how VLMs respond to answerable questions based on real-world images. However, t…
Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model
Nokimul Hasan Arif, Shadman Rabby, Md Hefzul Hossain Papon +1
Visual hallucinations in Large Language Models (LLMs), where the model generates responses that are inconsistent with the visual input, pose a significant challenge to their reliab…
DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data
Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed +1
While deep learning-based architectures have been widely used for correctly detecting and classifying plant diseases, they require large-scale datasets to learn generalized feature…
Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
Mehedi Ahamed, Radib Bin Kabir, Tawsif Tashwar Dipto +3
This study investigates the performance of few-shot learning (FSL) approaches in recognizing Bangla handwritten characters and numerals using limited labeled data. It demonstrates…