8 citations · 14 across the 4 of their papers we have counts for
5 papers
PCQA-GRAPHPOINT: Efficients Deep-Based Graph Metric For Point Cloud Quality Assessment
Marouane Tliba, Aladine Chetouani, Giuseppe Valenzise +1
Following the advent of immersive technologies and the increasing interest in representing interactive geometrical format, 3D Point Clouds (PC) have emerged as a promising solution…
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…
SALYPATH: A Deep-Based Architecture for visual attention prediction
Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani +1
Human vision is naturally more attracted by some regions within their field of view than others. This intrinsic selectivity mechanism, so-called visual attention, is influenced by…
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos
Yasser Dahou, Marouane Tliba, Kevin McGuinness +1
The spherical domain representation of 360 video/image presents many challenges related to the storage, processing, transmission and rendering of omnidirectional videos (ODV). Mode…