activity
20142025
most citedHand-Eye Calibration

592 citations · 1k across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2025★ 7 cited

Integrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation

Gaby Maroun, Salah Eddine Bekhouche, Fadi Dornaika

Age estimation from facial images is a complex and multifaceted challenge in computer vision. In this study, we present a novel hybrid architecture that combines ConvNeXt, a state-…

cs.RO2023★ 592 cited

Hand-Eye Calibration

Radu Horaud, Fadi Dornaika

Whenever a sensor is mounted on a robot hand it is important to know the relationship between the sensor and the hand. The problem of determining this relationship is referred to a…

cs.RO2023★ 137 cited

Visually Guided Object Grasping

Radu Horaud, Fadi Dornaika, Bernard Espiau

In this paper we present a visual servoing approach to the problem of object grasping and more generally, to the problem of aligning an end-effector with an object. First we extend…

cs.RO2023★ 298 cited

Simultaneous Robot-World and Hand-Eye Calibration

Fadi Dornaika, Radu Horaud

Recently, Zhuang, Roth, \& Sudhakar [1] proposed a method that allows simultaneous computation of the rigid transformations from world frame to robot base frame and from hand frame…

eess.IV2023★ 5 cited

D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation

Fares Bougourzi, Cosimo Distante, Fadi Dornaika +1

In the last three years, the world has been facing a global crisis caused by Covid-19 pandemic. Medical imaging has been playing a crucial role in the fighting against this disease…

eess.IV2023★ 2 cited

Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images

Bouthaina Slika, Fadi Dornaika, Hamid Merdji +1

To develop generic and reliable approaches for diagnosing and assessing the severity of COVID-19 from chest X-rays (CXR), a large number of well-maintained COVID-19 datasets are ne…

eess.IV2023

2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans

Fares Bougourzi, Fadi Dornaika, Amir Nakib +2

Since the appearance of Covid-19 in late 2019, Covid-19 has become an active research topic for the artificial intelligence (AI) community. One of the most interesting AI topics is…

eess.IV2022★ 3 cited

Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan

Fares Bougourzi, Cosimo Distante, Fadi Dornaika +1

Since the appearance of Covid-19 in late 2019, Covid-19 has become an active research topic for the artificial intelligence (AI) community. One of the most interesting AI topics is…

cs.CV2022★ 1 cited

SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation

Karim Hammoudi, Adnane Cabani, Bouthaina Slika +3

A novel approach of data augmentation based on irregular superpixel decomposition is proposed. This approach called SuperpixelGridMasks permits to extend original image datasets th…

eess.IV2020

Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19

Karim Hammoudi, Halim Benhabiles, Mahmoud Melkemi +4

Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the wo…

cs.NI2014★ 3 cited

Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems

Karim Hammoudi, Nabil Ajam, Mohamed Kasraoui +5

In this paper, we propose a design for novel and experimental cloud computing systems. The proposed system aims at enhancing computational, communicational and annalistic capabilit…