Clément Rambour

According to our database, Clément Rambour authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Energy Correction Model in the Feature Space for Out-of-Distribution Detection.

Marc Lafon, Clément Rambour, Nicolas Thome

CoRR, 2024

2023

Optimization of Rank Losses for Image Retrieval.

Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome

CoRR, 2023

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks.

Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome

CoRR, 2023

VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing.

Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome

CoRR, 2023

Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation.

Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection.

Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome

Proceedings of the International Conference on Machine Learning, 2023

2022

Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation.

Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Hierarchical Average Precision Training for Pertinent Image Retrieval.

Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot

Proceedings of the Computer Vision - ECCV 2022, 2022

Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction.

Vincent Le Guen, Clément Rambour, Nicolas Thome

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation.

Olivier Petit, Nicolas Thome, Clément Rambour, Luc Soler

CoRR, 2021

Robust and Decomposable Average Precision for Image Retrieval.

Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation.

Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, Luc Soler

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

SEN12-FLOOD : a SAR and Multispectral Dataset for Flood Detection.

Clément Rambour, Nicolas Audebert, Elise Colin Koeniguer, Bertrand Le Saux, Michel Crucianu, Mihai Datcu

Dataset, December, 2020

Regularized SAR Tomography Approaches.

Alessandra Budillon, Loïc Denis, Clément Rambour, Gilda Schirinzi, Florence Tupin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Introducing Spatial Regularization in SAR Tomography Reconstruction.

Clément Rambour, Loïc Denis, Florence Tupin, Hélène M. Oriot

IEEE Trans. Geosci. Remote. Sens., 2019

Urban surface reconstruction in SAR tomography by graph-cuts.

Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot, Yue Huang, Laurent Ferro-Famil

Comput. Vis. Image Underst., 2019

Urban surface recovery through graph-cuts over SAR tomographic reconstruction.

Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot

Proceedings of the Joint Urban Remote Sensing Event, 2019

2018

SAR Tomography of Urban Areas: 3D Regularized Inversion in the Scene Geometry.

Clément Rambour, Loïc Denis, Florence Tupin, Jean-Marie Nicolas, Hélène Oriot

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

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-Alban Deledalle

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017