Clément Rambour

Journals

2024

VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing, P. Couairon, C. Rambour, J.E. Haugeard, N. Thome, Transactions on Machine Learning Research (TLMLR) [OpenReview]

2024

MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation, E Dalsasso, C Rambour, N Trouvé, N Thome, ELSEVIER, Computer Vision and Image Understanding [HAL]

2023

Multivariate Emulation of Kilometer-Scale Numerical Weather Predictions with Generative Adversarial Networks: A Proof of Concept, Clément Brochet, Laure Raynaud, Nicolas Thome, Matthieu Plu, and Clément Rambour, Artificial Intelligence for the Earth Systems [pdf]

2020

From insar to tomosar: scatterers unmixing in urban areas, Clément Rambour, Alessandra Budillon, Angel C. Johnsy, Loïc Denis, Florence Tupin, Gilda Schirinzi IEEE Geoscience and Remote Sensing Magazine

2019

Introducing spatial regularization in sar tomography reconstruction, Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot IEEE Transactions on Geoscience and Remote Sensing [HAL]

2019

Urban surface reconstruction in SAR tomography by graph-cuts, Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot, Yue Huang, Laurent Ferro-Famil ELSEVIER, Computer Vision and Image Understanding [HAL] [arXiv]

International conferences

2023

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection, M. Lafon, E. Ramzi, C. Rambour, N. Thome. ICML 2023. [arXiv] [GiHub]

2023

Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation, L. Themyr, C. Rambour, N. Thome, T. Collins, A. Hostettler. WACV 2023. [HAL][arXiv]

2022

Hierarchical Average Precision Training for Pertinent Image Retrieval, E. Ramzi, N. Audebert, N. Thome, C. Rambour, X. Bitot. ECCV 2022. [HAL]

2021

Robust and Decomposable Average Precision for Image Retrieval, E. Ramzi, N. Thome, C. Rambour, N. Audebert, X. Bitot. NeurIPS 2021. [HAL] [arXiv]

2020

Regularized SAR tomography approaches, Alessandra Budillon, Loïc Denis, Clement Rambour, Gilda Schirinzi, Florence Tupin, IGARSS 2020, September, Virtual Symposium

2020

Analysis of Dense Coregistration Methods Applied to Optical and SAR Time-Series for Ice Flow Estimations, Laurane Charrier; Pierre Godet; Clément Rambour; Flora Weissgerber, Simon Erdmann and Elise Colin Koeniguer, 2020 IEEE Radar Conference, Florence, Italy

2020

Flood detection in time series of optical and SAR images, Rambour, C. and Audebert, N. and Koeniguer, E. and Le Saux, B. and Crucianu, M. and Datcu, M., ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 [HAL]

2019

Urban surface recovery through graph-cuts iver SAR tomographic reconstruction, Clément Rambour, Loïc Denis and Florence Tupin JURSE, IEEE 2019 - finalist in the best student paper competition [HAL]

2018

SAR tomography of urban areas: 3d regularized inversion in the scene geometry, Clément Rambour, Loïc Denis, Florence Tupin, Jean-Marie Nicolas, Hélène Oriot IGARSS 2018, July, Valencia, Spain, July 2018 [HAL]

2017

Similarity criterion for SAR tomography over dense urban area, Clément Rambour, Loïc Denis, Florence Tupin, Jean-Marie Nicolas, Hélène Oriot, Laurent Ferro-Famil, Charles Deledalle IGARSS 2017, Fort Worth, Texas, USA, July 2017 [HAL]

International Workshops with proceedings

2022

Residual Model-Based Reinforcement Learning for Physical Dynamics, Z. El Asri, C. Rambour, V. Le Guen, N. Thome. 3rd Offline RL Workshop: Offline RL as a "Launchpad", NeurIPS 2022. [HAL]

2022

Memory transformers for full context and high-resolution 3D Medical Segmentation, L. Themyr, C. Rambour, N. Thome, T. Collins, A. Hostettler. Machine Learning in Medical Imaging (MLMI) workshop, MICCAI 2022. [HAL]

2021

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation, O. Petit, N. Thome, C. Rambour, L. Themyr, T. Collins, L. Soler. Machine Learning in Medical Imaging (MLMI) workshop, MICCAI 2021. [OpenReview]