5 papers
In Pursuit of Many: A Review of Modern Multiple Object Tracking Systems
Mk Bashar, Samia Islam, Kashifa Kawaakib Hussain +3
Multiple Object Tracking (MOT) is a core capability in modern computer vision, essential to autonomous driving, surveillance, sports analytics, robotics, and biomedical imaging. Pe…
Rep3Net: An Approach Exploiting Multimodal Representation for Molecular Bioactivity Prediction
Sabrina Islam, Md. Atiqur Rahman, Md. Bakhtiar Hasan +1
Accurate prediction of compound potency accelerates early-stage drug discovery by prioritizing candidates for experimental testing. However, many Quantitative Structure-Activity Re…
A Domain-Adapted Lightweight Ensemble for Resource-Efficient Few-Shot Plant Disease Classification
Anika Islam, Tasfia Tahsin, Zaarin Anjum +2
Accurate and timely identification of plant leaf diseases is essential for resilient and sustainable agriculture, yet most deep learning approaches rely on large annotated datasets…
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…
FUSED-Net: Detecting Traffic Signs with Limited Data
Md. Atiqur Rahman, Nahian Ibn Asad, Md. Mushfiqul Haque Omi +3
Automatic Traffic Sign Recognition is paramount in modern transportation systems, motivating several research endeavors to focus on performance improvement by utilizing large-scale…