63 citations · 312 across the 51 of their papers we have counts for
11 papers · 1 filter
Deep Learning Based Illegal Bowling Action Detection
Debopom Sutradhar, Niful Islam, Sudipto Mondal +3
Cricket, often referred to as the "gentleman's game," adheres to a strict rule set for both batsmen and bowlers, where each delivery can significantly impact the match outcome. Det…
ThyCLIPNet: A BiomedCLIP-Guided Lightweight Attention-Enhanced DeepLabV3+ Framework for Robust Thyroid Nodule Segmentation
Tasnim Jahan, Md Easin Arafat, Swakkhar Shatabda
Accurate thyroid ultrasound segmentation is often challenged by low contrast, speckle noise, and unclear boundaries. Although recent methods have improved segmentation accuracy, ma…
Remote Sensing Image Classification Using Deep Ensemble Learning
Niful Islam, Md. Rayhan Ahmed, Nur Mohammad Fahad +4
Remote sensing imagery plays a crucial role in many applications and requires accurate computerized classification techniques. Reliable classification is essential for transforming…
Deepfake Synthesis vs. Detection: An Uneven Contest
Md. Tarek Hasan, Sanjay Saha, Shaojing Fan +2
The rapid advancement of deepfake technology has significantly elevated the realism and accessibility of synthetic media. Emerging techniques, such as diffusion-based models and Ne…
Eyes on the Image: Gaze Supervised Multimodal Learning for Chest X-ray Diagnosis and Report Generation
Tanjim Islam Riju, Shuchismita Anwar, Saman Sarker Joy +2
Medical vision-language models still struggle to match radiologists' attention and to verbalize findings with explicit spatial grounding. We address this gap with a two-stage multi…
Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation
Sahid Hossain Mustakim, S M Jishanul Islam, Ummay Maria Muna +6
Multimodal Large Language Models (MLLMs) are increasingly used for content moderation, yet their robustness in short-form video contexts remains underexplored. Current safety evalu…
VisText-Mosquito: A Unified Multimodal Dataset for Visual Detection, Segmentation, and Textual Explanation on Mosquito Breeding Sites
Md. Adnanul Islam, Md. Faiyaz Abdullah Sayeedi, Md. Asaduzzaman Shuvo +3
Mosquito-borne diseases pose a major global health risk, requiring early detection and proactive control of breeding sites to prevent outbreaks. In this paper, we present VisText-M…
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…
A Bidirectional Siamese Recurrent Neural Network for Accurate Gait Recognition Using Body Landmarks
Proma Hossain Progga, Md. Jobayer Rahman, Swapnil Biswas +3
Gait recognition is a significant biometric technique for person identification, particularly in scenarios where other physiological biometrics are impractical or ineffective. In t…
A novel and effective scoring scheme for structure classification and pairwise similarity measurement
Rezaul Karim, Md. Momin Al Aziz, Swakkhar Shatabda +1
Protein tertiary structure defines its functions, classification and binding sites. Similar structural characteristics between two proteins often lead to the similar characteristic…
CoMOGrad and PHOG: From Computer Vision to Fast and Accurate Protein Tertiary Structure Retrieval
Rezaul Karim, Mohd. Momin Al Aziz, Swakkhar Shatabda +4
Due to the advancements in technology number of entries in the structural database of proteins are increasing day by day. Methods for retrieving protein tertiary structures from th…