Clément Rambour

Clément Rambour

Membre associé
Équipe : Données Complexes, Apprentissage et Représentations
Site web : https://clementrambour.wp.imt.fr/
Bureau : 37.1.40

Je suis maitre de conférence au sein de l'équipe Vertigo du CEDRIC. Mes sujets de recherche sont l'analyse de séries d'image multimodale pour la détection de changement et la prédiction ainsi que la résolution et régularisation de problèmes inverses.

2024

Articles de revue

  1. Dalsasso, E.; Rambour, C.; Trouvé, N. and Thome, N. MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation. In Computer Vision and Image Understanding, 241, 2024. doi  www 

Articles de conférence

  1. Dalsasso, E.; Rambour, C.; Denis, L. and Tupin, F. Learning a versatile representation of SAR data for regression and segmentation by leveraging self-supervised despeckling with MERLIN. In European Conference on Synthetic Aperture Radar, Munich (Allemagne), Germany, 2024. www 
  1. Lafon, M.; Ramzi, E.; Rambour, C.; Audebert, N. and Thome, N. GalLoP: Learning Global and Local Prompts for Vision-Language Models. In The 18th European Conference on Computer Vision ECCV 2024, arXiv, Milan, Italy, 2024. doi  www 

2023

Articles de conférence

  1. Themyr, L.; Rambour, C.; Thome, N.; Collins, T. and Hostettler, A. Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. In 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 3223-3232, IEE Computer Society, Waikoloa, United States, 2023. doi  www 
  1. Lafon, M.; Ramzi, E.; Rambour, C. and Thome, N. Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. In International Conference on Machine Learning, Honololu, Hawaii, United States, 2023. www 

Non publié

  1. Coquenet, D.; Rambour, C.; Dalsasso, E. and Thome, N. Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. , working paper or preprint. www 

2022

Articles de conférence

  1. Le Guen, V.; Rambour, C. and Thome, N. Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. In ECCV 2022, Springer, Tel Aviv, Israel, Lecture Notes in Computer Science, vol 13681 , 2022. doi  www 
  1. Boige, R.; Audebert, N.; Rambour, C. and Levieux, G. Now you see me: finding the right observation space to learn diverse behaviours by reinforcement in games. In Conférence sur l'Apprentissage automatique (CAp), Vannes, France, 2022. www 
  1. Ramzi, E.; Audebert, N.; Thome, N.; Rambour, C. and Bitot, X. Hierarchical Average Precision Training for Pertinent Image Retrieval. In ECCV 2022, Tel-Aviv, Israel, 2022. www 

2021

Articles de conférence

  1. Rambour, C.; Denis, L. and Tupin, F. 3D Buildings Reconstruction with SAR Tomography Guided by Partial Footprints Information. In EUSAR 2021, VIRTUEL, Germany, 2021. www 
  1. Petit, O.; Thome, N.; Rambour, C.; Themyr, L.; Collins, T. and Soler, L. U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. In MICCAI workshop MLMI, Strasbourg (virtuel), France, 2021. www 
  1. Ramzi, E.; Thome, N.; Rambour, C.; Audebert, N. and Bitot, X. Robust and Decomposable Average Precision for Image Retrieval. In Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, 2021. www 

2020

Articles de revue

  1. Rambour, C.; Audebert, N.; Koeniguer, E.; Le Saux, B.; Crucianu, M. and Datcu, M. Flood detection in time series of optical and sar images. In ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2020: 1343-1346, 2020. doi  www 
  1. Rambour, C.; Budillon, A.; Johnsy, A.; Denis, L.; Tupin, F. and Schirinzi, G. From Interferometric to Tomographic Synthetic Aperture Radar. Scatterer unmixing in urban areas: A review of synthetic aperture radar tomography-processing techniques. In IEEE geoscience and remote sensing magazine, 8 (2), 2020. www 

Articles de conférence

  1. Charrier, L.; Godet, P.; Rambour, C.; Weissgerber, F.; Erdmann, S. and Koeniguer, E. C. Analysis of dense coregistration methods applied to optical and SAR time-series for ice flow estimations. In 2020 IEEE Radar Conference (RadarConf20), pages 1-6, IEEE, Florence, Italy, 2020. doi  www 
  1. Budillon, A.; Denis, L.; Rambour, C.; Schirinzi, G. and Tupin, F. Regularized SAR Tomography Approaches. In IGARSS (IEEE International Geoscience and Remote Sensing Symposium), IEEE, Hawa"i, United States, 2020. www 

2019

Articles de revue

  1. Rambour, C.; Denis, L.; Tupin, F. and Oriot, H. Introducing spatial regularization in SAR tomography reconstruction. In IEEE Transactions on Geoscience and Remote Sensing, 2019. doi  www 
  1. Rambour, C.; Denis, L.; Tupin, F.; Oriot, H.; Huang, Y. and Ferro-Famil, L. Urban Surface Reconstruction in SAR Tomography by Graph-Cuts. In Computer Vision and Image Understanding, 188: 102791, 2019. doi  www 

Articles de conférence

  1. Rambour, C.; Denis, L.; Tupin, F. and Oriot, H. Urban surface recovery through graph-cuts over SAR tomographic reconstruction. In 2019 Joint Urban Remote Sensing Event (JURSE), IEEE, Vannes, France, Urban Remote Sensing Joint Event , 2019. doi  www 

Thèses et habilitations

  1. Rambour, C. Structural tomographic approaches for urban area analysis using high resolution SAR tomography : TomoSAR. Ph.D. Thesis, Université Paris Saclay (COmUE), 2019.

2018

Articles de conférence

  1. Rambour, C.; Denis, L.; Tupin, F.; Nicolas, J-M. and Oriot, H. SAR TOMOGRAPHY OF URBAN AREAS: 3D REGULARIZED INVERSION IN THE SCENE GEOMETRY. In 2018 IEEE International Geoscience and Remote Sensing Symposium, Valence, Spain, 2018. www 

2017

Articles de conférence

  1. Rambour, C.; Denis, L.; Tupin, F.; Nicolas, J. M.; Oriot, H.; Ferro-Famil, L. and Deledalle, C-A. Similarity criterion for SAR tomography over dense urban area. In IEEE IGARSS, Fort Worth (TX), United States, 2017. doi  www 
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