6 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Mitigating Domain Shift in Conditioned Floor Plan Generation: Synthetic Pre-training for Data-Efficient Adaptation
Matthieu Ospici, Arnaud Gueze, Luc Bourrat +1
Robustness to domain shift is a key requirement for floor plan generative models to be applicable beyond the single dataset they were trained on, as floor plans vary widely across…
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…
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…