4 papers
Split-Fuse-Transport: Annotation-Free Saliency via Dual Clustering and Optimal Transport Alignment
Muhammad Umer Ramzan, Ali Zia, Abdelwahed Khamis +3
Salient object detection (SOD) aims to segment visually prominent regions in images and serves as a foundational task for various computer vision applications. We posit that SOD ca…
Leveraging Deep Learning with Multi-Head Attention for Accurate Extraction of Medicine from Handwritten Prescriptions
Usman Ali, Sahil Ranmbail, Muhammad Nadeem +3
Extracting medication names from handwritten doctor prescriptions is challenging due to the wide variability in handwriting styles and prescription formats. This paper presents a r…
Gated-Attention Feature-Fusion Based Framework for Poverty Prediction
Muhammad Umer Ramzan, Wahab Khaddim, Muhammad Ehsan Rana +4
This research paper addresses the significant challenge of accurately estimating poverty levels using deep learning, particularly in developing regions where traditional methods li…
Locally-Focused Face Representation for Sketch-to-Image Generation Using Noise-Induced Refinement
Muhammad Umer Ramzan, Ali Zia, Abdelwahed Khamis +3
This paper presents a novel deep-learning framework that significantly enhances the transformation of rudimentary face sketches into high-fidelity colour images. Employing a Convol…