2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2026
DynaGuide: A Generalizable Dynamic Guidance Framework for Unsupervised Semantic Segmentation
Boujemaa Guermazi, Riadh Ksantini, Naimul Khan
Unsupervised image segmentation is a critical task in computer vision. It enables dense scene understanding without human annotations, which is especially valuable in domains where…
cs.CV2024
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity
Boujemaa Guermazi, Naimul Khan
Our work tackles the fundamental challenge of image segmentation in computer vision, which is crucial for diverse applications. While supervised methods demonstrate proficiency, th…
eess.IV2024★ 2 cited
A Dynamically Weighted Loss Function for Unsupervised Image Segmentation
Boujemaa Guermazi, Riadh Ksantini, Naimul Khan
Image segmentation is the foundation of several computer vision tasks, where pixel-wise knowledge is a prerequisite for achieving the desired target. Deep learning has shown promis…