195 citations · 324 across the 22 of their papers we have counts for
24 papers
CondMSP: Condition-Informed and Resource-Aware Inorganic Materials Synthesis Planning
Heewoong Noh, Gyoung S. Na, Elton Pan +2
Materials synthesis planning (MSP) connects AI-driven materials discovery to experimental realization by proposing precursors, synthesis operations, and processing conditions for a…
MemeCULT-1K: Benchmarking South Asian Cultural Context and Humor Understanding of Multimodal Models
Tawsif Tashwar Dipto, Mehedi Ahamed, Radib Bin Kabir +5
Meme understanding goes beyond recognizing visual content or literal text; it requires implicit cultural knowledge and pragmatic inference that most vision-language models still la…
Beyond Accuracy: A Qualitative Analysis of Vision-Language Models for Hate Speech Detection in Memes
Muhammad Jawad Chowdhury, Adiba Hasan, Ishrak Hossain +2
Memes have turned out to be a powerful tool through which individuals share their ideas concerning contemporary social and political problems. Their anonymity, as well as their abi…
Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors
Md. Safirur Rashid, Sabbir Ahmed, Muhammad Usama Islam +2
Despite the strong performance of Convolutional Neural Networks (CNNs) in disease classification, their effectiveness often depends on access to large annotated datasets, which is…
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…
SpectroFusion-ViT: A Lightweight Transformer for Speech Emotion Recognition Using Harmonic Mel-Chroma Fusion
Faria Ahmed, Rafi Hassan Chowdhury, Fatema Tuz Zohora Moon +1
Speech is a natural means of conveying emotions, making it an effective method for understanding and representing human feelings. Reliable speech emotion recognition (SER) is centr…
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…
AQUA20: A Benchmark Dataset for Underwater Species Classification under Challenging Conditions
Taufikur Rahman Fuad, Sabbir Ahmed, Shahriar Ivan
Robust visual recognition in underwater environments remains a significant challenge due to complex distortions such as turbidity, low illumination, and occlusion, which severely d…
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…
MangoLeafViT: Leveraging Lightweight Vision Transformer with Runtime Augmentation for Efficient Mango Leaf Disease Classification
Rafi Hassan Chowdhury, Sabbir Ahmed
Ensuring food safety is critical due to its profound impact on public health, economic stability, and global supply chains. Cultivation of Mango, a major agricultural product in se…
Performance Evaluation of Large Language Models in Bangla Consumer Health Query Summarization
Ajwad Abrar, Farzana Tabassum, Sabbir Ahmed
Consumer Health Queries (CHQs) in Bengali (Bangla), a low-resource language, often contain extraneous details, complicating efficient medical responses. This study investigates the…
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI
Farzana Tabassum, Sabrina Islam, Siana Rizwan +4
Gene expression analysis is a critical method for cancer classification, enabling precise diagnoses through the identification of unique molecular signatures associated with variou…
An Integrated Blockchain and IPFS Solution for Secure and Efficient Source Code Repository Hosting using Middleman Approach
Md. Rafid Haque, Sakibul Islam Munna, Sabbir Ahmed +3
Centralized version control systems (VCS) are vital for software development but pose risks of data loss and ownership disputes. While blockchain offers a decentralized alternative…
HaSPeR: An Image Repository for Hand Shadow Puppet Recognition
Syed Rifat Raiyan, Zibran Zarif Amio, Sabbir Ahmed
Hand shadow puppetry, also known as shadowgraphy or ombromanie, is a form of theatrical art and storytelling where hand shadows are projected onto flat surfaces to create illusions…
An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classification
Md. Hamjajul Ashmafee, Tasnim Ahmed, Sabbir Ahmed +3
Correct identification and categorization of plant diseases are crucial for ensuring the safety of the global food supply and the overall financial success of stakeholders. In this…
Performance Analysis of YOLO-based Architectures for Vehicle Detection from Traffic Images in Bangladesh
Refaat Mohammad Alamgir, Ali Abir Shuvro, Mueeze Al Mushabbir +5
The task of locating and classifying different types of vehicles has become a vital element in numerous applications of automation and intelligent systems ranging from traffic surv…
Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning
Minhaz Kamal, Fairuz Shaiara, Chowdhury Mohammad Abdullah +3
Handwriting Recognition has been a field of great interest in the Artificial Intelligence domain. Due to its broad use cases in real life, research has been conducted widely on it.…
Rethinking Cooking State Recognition with Vision Transformers
Akib Mohammed Khan, Alif Ashrafee, Reeshoon Sayera +2
To ensure proper knowledge representation of the kitchen environment, it is vital for kitchen robots to recognize the states of the food items that are being cooked. Although the d…
Fruit Quality Assessment with Densely Connected Convolutional Neural Network
Md. Samin Morshed, Sabbir Ahmed, Tasnim Ahmed +2
Accurate recognition of food items along with quality assessment is of paramount importance in the agricultural industry. Such automated systems can speed up the wheel of the food…
Two Decades of Bengali Handwritten Digit Recognition: A Survey
A. B. M. Ashikur Rahman, Md. Bakhtiar Hasan, Sabbir Ahmed +4
Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of Optical Character Recognition (OCR). Irrespective of language, there are some inherent cha…
Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed +2
To ensure global food security and the overall profit of stakeholders, the importance of correctly detecting and classifying plant diseases is paramount. In this connection, the em…