26 citations · 40 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
Graph Attention Network for Camera Relocalization on Dynamic Scenes
Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
We devise a graph attention network-based approach for learning a scene triangle mesh representation in order to estimate an image camera position in a dynamic environment. Previou…
Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters
Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini
During the last years, deep learning trackers achieved stimulating results while bringing interesting ideas to solve the tracking problem. This progress is mainly due to the use of…