8 citations · 14 across the 17 of their papers we have counts for
4 papers · 1 filter
An Inter-observer consistent deep adversarial training for visual scanpath prediction
Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani +1
The visual scanpath is a sequence of points through which the human gaze moves while exploring a scene. It represents the fundamental concepts upon which visual attention research…
Deep-based quality assessment of medical images through domain adaptation
Marouane Tliba, Aymen Sekhri, Mohamed Amine Kerkouri +1
Predicting the quality of multimedia content is often needed in different fields. In some applications, quality metrics are crucial with a high impact, and can affect decision maki…
A domain adaptive deep learning solution for scanpath prediction of paintings
Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani +1
Cultural heritage understanding and preservation is an important issue for society as it represents a fundamental aspect of its identity. Paintings represent a significant part of…
SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images
Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani +1
This paper introduces a new framework to predict visual attention of omnidirectional images. The key setup of our architecture is the simultaneous prediction of the saliency map an…