6 citations · 6 across the 2 of their papers we have counts for
3 papers
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…