I am an Assistant Professor in the CEDRIC laboratory, part of the Conservatoire National des Arts et Métiers (CNAM), affiliated with the Vertigo Team. My research centers around machine learning with a specific focus on image understanding and multi-modal data, including text-image and multi-sensor inputs. My work extends to the development of hybrid models, incorporating both physical and statistical aspects. Additionally, I explore techniques to enhance the robustness of machine learning models, ensuring their effectiveness in various applications.
2, rue Conté - Office 33.1.16B 75141 Paris Cedex 03, France
clement.rambour@cnam.fr
Tel.: 0140272513
20/03/2024
PhD defense of E. Ramzi: Robust image retrieval with deep learning! 🙌 🥳
21/12/2023
PhD defense of L. Themyr: 3D medical image segmentation! 🙌 🥳
25/04/2023
Accepted paper at ICML23 on hybrid EBM models for OOD detection
20/11/2022
Accepted internal laboratory project ORION on the design of robust models
18/09/2022
Accepted paper at WACV23 on transformers for high resolution semantic segmentation
20/09/2022
Accepted paper at MLMI22 MICCAI workshop
04/07/2022
2 accepted papers at ECCV22 !
15/12/2021
We are hiring a postdoc to work on IA and inverse Problems. The job is expected to start in spring 2022. See the job description here FILLED
05/12/2021
We are lookink for an internship to work on RL and physical models. See the job description here (in french) FILLED
28/09/2021
Paper on robust and decomposable average precision accepted at NeurIPS'21
20/09/2021
Paper U-Net Transformer accpeted at MLMI
26/07/2021
ANR Astral on machine learning for multidimensional SAR data processing accepted !
30/09/2020
Presentation of our work on SAR tomography for urban areas at the ALYS workshop
01/10/2020
I will present our work on multi-modal (SAR and optical Sentinel images) series analysis at the ESA Phi-week virtual event
2, rue Conté - Office 33.1.16B 75141 Paris Cedex 03, France
clement.rambour@cnam.fr
Tel.: 0140272513