activity
20202025
most citedHand-Eye Calibration

592 citations · 1k across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2025

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.RO2023592 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.RO2023137 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.RO2023298 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…

cs.CV20221 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…