1 code implementation • 19 Feb 2024 • Sayeh Gholipour Picha, Dawood Al Chanti, Alice Caplier
Medical language processing and deep learning techniques have emerged as critical tools for improving healthcare, particularly in the analysis of medical imaging and medical text data.
2 code implementations • 27 Mar 2023 • Sayeh Gholipour Picha, Dawood Al Chanti, Alice Caplier
For the data generation process, we consider generating facial expressions (FEs) by relying on two GANs.
1 code implementation • 26 Jul 2021 • Alfred Laugros, Alice Caplier, Matthieu Ospici
Using the overlapping criterion, we split synthetic corruptions into categories that help to better understand neural network robustness.
no code implementations • 26 May 2021 • Alfred Laugros, Alice Caplier, Matthieu Ospici
To estimate the robustness of neural networks to these common corruptions, we generally use a group of modeled corruptions gathered into a benchmark.
no code implementations • 1 Jan 2021 • Alfred Laugros, Alice Caplier, Matthieu Ospici
In this paper, we propose to build corruption benchmarks with only non-overlapping corruptions, to improve their coverage and their balance.
no code implementations • 19 Aug 2020 • Alfred Laugros, Alice Caplier, Matthieu Ospici
Despite their performance, Artificial Neural Networks are not reliable enough for most of industrial applications.
no code implementations • 4 Sep 2019 • Alfred Laugros, Alice Caplier, Matthieu Ospici
We intend to study the links between the robustnesses of neural networks to both perturbations.
no code implementations • 11 Mar 2019 • Dawood Al Chanti, Alice Caplier
This paper propose an algorithm for spatiotemporal MEs spotting.
no code implementations • 30 Sep 2018 • Dawood Al Chanti, Alice Caplier
Most facial expression analysis studies consider the case of acted expressions.
Facial Expression Recognition Facial Expression Recognition (FER) +1
no code implementations • 30 Sep 2018 • Dawood Al Chanti, Alice Caplier
The efficiency of the proposed algorithm is compared with standard bag of visual words method and with bag of visual words method with spatial pyramid.