57 citations · 118 across the 19 of their papers we have counts for
5 papers · 1 filter
A Simple and efficient deep Scanpath Prediction
Mohamed Amine Kerkouri, Aladine Chetouani
Visual scanpath is the sequence of fixation points that the human gaze travels while observing an image, and its prediction helps in modeling the visual attention of an image. To t…
Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images
Tarek Ben Charrada, Hedi Tabia, Aladine Chetouani +1
We propose a novel deep reinforcement learning-based approach for 3D object reconstruction from monocular images. Prior works that use mesh representations are template based. Thus…
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…
A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysis
Salima Bourbia, Ayoub Karine, Aladine Chetouani +1
This paper addresses the problem of blind stereoscopic image quality assessment (NR-SIQA) using a new multi-task deep learning based-method. In the field of stereoscopic vision, th…
A deep perceptual metric for 3D point clouds
Maurice Quach, Aladine Chetouani, Giuseppe Valenzise +1
Point clouds are essential for storage and transmission of 3D content. As they can entail significant volumes of data, point cloud compression is crucial for practical usage. Recen…