Hazem Abdelkawy — accepted AI-conference papers

2026

Beyond Scanpaths: Graph-Based Gaze Simulation in Dynamic Scenes

Luke Palmer, Petar Palasek, Hazem Abdelkawy

CVPR 2026

Accurately modelling human attention is essential for numerous computer vision applications, particularly in the domain of automotive safety. Existing methods typically collapse gaze into saliency maps or scanpaths, treating gaze dynamics only implicitly. We instead formulate gaze modelling as an au

Cited by 0 Source ↗Scholar ↗

2021

Spatio-Temporal Convolutional Networks and N-Ary Ontologies for Human Activity-Aware Robotic System

Hazem Abdelkawy, Naouel Ayari, Abdelghani Chibani, Yacine Amirat, Ferhat Attal

RA-L 2021

Endowing a companion robot with cognitive abilities to recognize human daily activities, in particular from body skeletons information, is a significant challenge, which needs complex and novel approaches. Recently, most of the proposed approaches exploit the hand-crafted features or the predefined

Cited by 6 Source ↗Scholar ↗