no code implementations • 15 May 2024 • Nicolas Drapier, Aladine Chetouani, Aurélien Chateigner
The prediction of ship trajectories is a growing field of study in artificial intelligence.
no code implementations • 15 Mar 2024 • Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Alessandro Bruno
Neural network quantization is an essential technique for deploying models on resource-constrained devices.
no code implementations • 15 Mar 2024 • Aymen Sekhri, Marouane Tliba, Mohamed Amine Kerkouri, Yassine Nasser, Aladine Chetouani, Alessandro Bruno, Rachid Jennane
Conventional imaging diagnostics frequently encounter bottlenecks due to manual inspection, which can lead to delays and inconsistencies.
no code implementations • 14 Nov 2023 • Alessandro Bruno, Pier Luigi Mazzeo, Aladine Chetouani, Marouane Tliba, Mohamed Amine Kerkouri
The widespread adoption of large language models (LLMs) across diverse AI applications is proof of the outstanding achievements obtained in several tasks, such as text mining, text generation, and question answering.
no code implementations • 10 Jul 2023 • Aymen Sekhri, Marouane Tliba, Mohamed Amine Kerkouri, Yassine Nasser, Aladine Chetouani, Alessandro Bruno, Rachid Jennane
Knee osteoarthritis (KOA) is a widespread condition that can cause chronic pain and stiffness in the knee joint.
no code implementations • 17 Apr 2023 • Zhe Wang, Aladine Chetouani, Mohamed Jarraya, Didier Hans, Rachid Jennane
In this paper, we propose a novel approach based on the Vision Transformer (ViT) model with original Selective Shuffled Position Embedding (SSPE) and key-patch exchange strategies to obtain different input sequences as a method of data augmentation for early detection of KOA (KL-0 vs KL-2).
no code implementations • 23 Mar 2023 • Zhe Wang, Aladine Chetouani, Rachid Jennane
Knee OsteoArthritis (KOA) is a prevalent musculoskeletal disorder that causes decreased mobility in seniors.
no code implementations • 15 Mar 2023 • Marouane Tliba, Aladine Chetouani, Giuseppe Valenzise, Frederic Dufaux
With the increased interest in immersive experiences, point cloud came to birth and was widely adopted as the first choice to represent 3D media.
no code implementations • 26 Feb 2023 • Zhe Wang, Aladine Chetouani, Rachid Jennane
In this paper, we propose a learning model based on the convolutional Auto-Encoder and a hybrid loss strategy to generate new data for early KOA (KL-0 vs KL-2) diagnosis.
no code implementations • 20 Feb 2023 • M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera, Hedi Tabia
This paper investigates the usage of kernel functions at the different layers in a convolutional neural network.
no code implementations • 14 Dec 2022 • Rafael Rodrigues, Lucie Lévêque, Jesús Gutiérrez, Houda Jebbari, Meriem Outtas, Lu Zhang, Aladine Chetouani, Shaymaa Al-Juboori, Maria Martini, Antonio M. G. Pinheiro
Quality assessment is a key element for the evaluation of hardware and software involved in image and video acquisition, processing, and visualization.
no code implementations • 14 Nov 2022 • Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Alessandro Bruno
The visual scanpath is a sequence of points through which the human gaze moves while exploring a scene.
no code implementations • 4 Nov 2022 • Marouane Tliba, Aladine Chetouani, Giuseppe Valenzise, Frederic Dufaux
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 and effective means to display 3D visual information.
1 code implementation • ICIP2022 2022 • Oussama Messai, Aladine Chetouani
Unlike existing stereoscopic IQA measures which focus mainly on estimating a global human score, we suggest incorporating left, right, and stereoscopic objective scores to extract the corresponding properties of each view, and so forth estimating stereoscopic image quality without reference.
no code implementations • 19 Oct 2022 • Marouane Tliba, Aymen Sekhri, Mohamed Amine Kerkouri, Aladine Chetouani
Predicting the quality of multimedia content is often needed in different fields.
no code implementations • 22 Sep 2022 • Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Alessandro Bruno
Cultural heritage understanding and preservation is an important issue for society as it represents a fundamental aspect of its identity.
no code implementations • CVPR 2022 • Marouane Tliba, Mohamed Amine Kerkouri, Aladine Chetouani, Alessandro Bruno
In our paper, we propose a novel strategy to learn distortion invariant latent representation from painting pictures for visual attention modelling downstream task.
1 code implementation • journal 2022 • Oussama Messai, Aladine Chetouani, Fella Hachouf, Zianou Ahmed seghir
The use of 3D technologies is growing rapidly, and stereoscopic imaging is usually used to display the 3D contents.
no code implementations • 1 Jan 2022 • Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Mohamed Sayeh
The key setup of our architecture is the simultaneous prediction of the saliency map and a corresponding scanpath for a given stimulus.
no code implementations • 8 Dec 2021 • 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.
no code implementations • 24 Sep 2021 • Tarek Ben Charrada, Hedi Tabia, Aladine Chetouani, Hamid Laga
It is composed of of (1) a Vertex Generation Network (VGN), which predicts the initial 3D locations of the object's vertices from an input RGB image, (2) a differentiable triangulation layer, which learns in a non-supervised manner, using a novel reinforcement learning algorithm, the best triangulation of the object's vertices, and finally, (3) a hierarchical mesh refinement network that uses graph convolutions to refine the initial mesh.
no code implementations • 29 Jun 2021 • Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Rachid Harba
Human vision is naturally more attracted by some regions within their field of view than others.
1 code implementation • 17 Jun 2021 • Salima Bourbia, Ayoub Karine, Aladine Chetouani, Mohammed El Hassouni
To do this, we compute naturalness-based features using a Natural Scene Statistics (NSS) model in the complex wavelet domain.
1 code implementation • 25 Feb 2021 • Maurice Quach, Aladine Chetouani, Giuseppe Valenzise, Frederic Dufaux
In addition, we propose a novel truncated distance field voxel grid representation and find that it leads to sparser latent spaces and loss functions that are more correlated with perceived visual quality compared to a binary representation.
1 code implementation • Electronic Imaging 2021 • Oussama Messai, Aladine Chetouani, Fella Hachouf, Zianou Ahmed seghir
Taking this into account, this paper introduces a blind stereoscopic image quality measurement using synthesized cyclopean image and deep feature extraction.
no code implementations • 22 Sep 2020 • M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera, Hedi Tabia
Fully connected layer is an essential component of Convolutional Neural Networks (CNNs), which demonstrates its efficiency in computer vision tasks.
Facial Expression Recognition Facial Expression Recognition (FER)