I am a member of the Vertigo Team, CEDRIC Lab
2022-2023
Denis Coquenet, Semantic segmentation with transformers and GNN, with Nicolas Thome (ISIR) and Raphaël Fournier (Cnam)
2022-2023
Emanuele Dalsasso, Uncertainty in SAR image segmentation, with Nicolas Thome (ISIR)
2024-
Thérèse Tisseau des Escotais, Video editing for advanced driver-assistance system validation, with Arnaud Breloy (Cnam) and Bretrand Leroy (Ampere Group)
2021-
Marc Lafon, Uncertainty for active learning, with Nicolas Thome (ISIR)
2021-2024
Elias Ramzi, deep learning for visual search in large logos databases, with Nicolas Thome (ISIR), Nicolas Audebert (Cnam) and Xavier Bitot (Coexya Group)
2020-2023
Loic Themyr, 3D Ultra-Sound image segmentation, with Nicolas Thome (ISIR) and Toby Collins (IRCAD)
2023
Richard Wilouwou (MSC Optimization at University Paris-Saclay). Internship on robustness for deep network
2022
Zakariae El Asri (MSC Artificial Intelligence at Ecole CentraleSupélec). Internship on model based reinforcement learning guided by phyisical knowledge
2021
Raphaël Boige (master Data Science, Télécom Paris/École Polytechnique). Internship on learning agents with diversified behaviours for video games by reinforcement
2021
João Pedro Araújo Ferreira Campos (ENSTA Paris). Internship on spatially-equivariant representation learning for remote sensing and medical images.
ORION (internal CEDRIC project) : robustness for deep models with Amélie Lambert and Zacharie Ales
ASTRAL (ANR ASTRID 2021-2024), Machine learning for SAR imagery. Consortium: LTCI (Telecom Paris), Laboratoire Hubert-Curien (Telecom Saint-Etienne) and CEDRIC (Cnam) CEDRIC coordinator
ALYS (ANR ASTRID 2017-2020), SAR tomography in urban areas, see ALYS website
Improving on the 2019 MediaEval Multimedia Satellite Task, we designed and released in 2020 SEN12-FLOOD, a multimodal SAR/multispectral dataset (Sentinel 1 and 2) for flood event detection in remote sensing time series.