activity
20182020
most citedA Fuzzy-based Framework to Support Multicriteria Design of Mechatronic Systems

3 citations · 6 across the 4 of their papers we have counts for

collaborators

8 papers

cs.RO20203 cited

A Fuzzy-based Framework to Support Multicriteria Design of Mechatronic Systems

Abolfazl Mohebbi, Sofiane Achiche, Luc Baron

Designing a mechatronic system is a complex task since it deals with a high number of system components with multi-disciplinary nature in the presence of interacting design objecti…

cs.CV2020

Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration

Dominique Beaini, Sofiane Achiche, Maxime Raison

Current research in convolutional neural networks (CNN) focuses mainly on changing the architecture of the networks, optimizing the hyper-parameters and improving the gradient desc…

cs.CV20201 cited

Saliency Enhancement using Gradient Domain Edges Merging

Dominique Beaini, Sofiane Achiche, Alexandre Duperre +1

In recent years, there has been a rapid progress in solving the binary problems in computer vision, such as edge detection which finds the boundaries of an image and salient object…

physics.med-ph20191 cited

Design of an assistive trunk exoskeleton based on multibody dynamic modelling

Pierre Lifeng Li, Sofiane Achiche, Laurent Blanchet +2

Low back pain is one of the most common musculoskeletal disorder. To reduce its incidences, some back exoskeletons have been designed and already commercialized. However, there is…

cs.CV2019

Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks

Dominique Beaini, Sofiane Achiche, Alexandre Duperré +1

Current saliency methods require to learn large scale regional features using small convolutional kernels, which is not possible with a simple feed-forward network. Some methods so…

cs.CV20191 cited

Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution

Dominique Beaini, Sofiane Achiche, Fabrice Nonez +4

In computer vision, the gradient and Laplacian of an image are used in different applications, such as edge detection, feature extraction, and seamless image cloning. Computing the…