6 citations · 7 across the 5 of their papers we have counts for
7 papers
Online Unsupervised Domain Adaptation for Person Re-identification
Hamza Rami, Matthieu Ospici, Stéphane Lathuilière
Unsupervised domain adaptation for person re-identification (Person Re-ID) is the task of transferring the learned knowledge on the labeled source domain to the unlabeled target do…
Prediction of fish location by combining fisheries data and sea bottom temperature forecasting
Matthieu Ospici, Klaas Sys, Sophie Guegan-Marat
This paper combines fisheries dependent data and environmental data to be used in a machine learning pipeline to predict the spatio-temporal abundance of two species (plaice and so…
Using the Overlapping Score to Improve Corruption Benchmarks
Alfred Laugros, Alice Caplier, Matthieu Ospici
Neural Networks are sensitive to various corruptions that usually occur in real-world applications such as blurs, noises, low-lighting conditions, etc. To estimate the robustness o…
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Alfred Laugros, Alice Caplier, Matthieu Ospici
Despite their performance, Artificial Neural Networks are not reliable enough for most of industrial applications. They are sensitive to noises, rotations, blurs and adversarial ex…
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?
Alfred Laugros, Alice Caplier, Matthieu Ospici
Neural Networks have been shown to be sensitive to common perturbations such as blur, Gaussian noise, rotations, etc. They are also vulnerable to some artificial malicious corrupti…
Person re-identification across different datasets with multi-task learning
Matthieu Ospici, Antoine Cecchi
This paper presents an approach to tackle the re-identification problem. This is a challenging problem due to the large variation of pose, illumination or camera view. More and mor…