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ORCIDClément Rambour
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2020 – today
- 2024
[j4]Emanuele Dalsasso
, Clément Rambour, Nicolas Trouvé, Nicolas Thome:
MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation. Comput. Vis. Image Underst. 241: 103940 (2024)- [j3]Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome:
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. Trans. Mach. Learn. Res. 2024 (2024) - [c12]Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome:
GalLoP: Learning Global and Local Prompts for Vision-Language Models. ECCV (61) 2024: 264-282 - [i13]Marc Lafon, Clément Rambour, Nicolas Thome:
Energy Correction Model in the Feature Space for Out-of-Distribution Detection. CoRR abs/2403.10403 (2024) - [i12]Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome:
GalLoP: Learning Global and Local Prompts for Vision-Language Models. CoRR abs/2407.01400 (2024) - 2023
- [c11]Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome:
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. ICML 2023: 18250-18268 - [c10]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. WACV 2023: 3223-3232 - [i11]Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome:
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. CoRR abs/2305.16966 (2023) - [i10]Paul Couairon, Clément Rambour, Jean-Emmanuel Haugeard, Nicolas Thome:
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. CoRR abs/2306.08707 (2023) - [i9]Denis Coquenet, Clément Rambour, Emanuele Dalsasso, Nicolas Thome:
Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. CoRR abs/2307.06795 (2023) - [i8]Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araújo, Xavier Bitot, Nicolas Thome:
Optimization of Rank Losses for Image Retrieval. CoRR abs/2309.08250 (2023) - 2022
- [c9]Vincent Le Guen, Clément Rambour, Nicolas Thome:
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. ECCV (21) 2022: 121-138 - [c8]Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot:
Hierarchical Average Precision Training for Pertinent Image Retrieval. ECCV (14) 2022: 250-266 - [c7]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation. MLMI@MICCAI 2022: 121-130 - [i7]Vincent Le Guen, Clément Rambour, Nicolas Thome:
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. CoRR abs/2207.03790 (2022) - [i6]Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot:
Hierarchical Average Precision Training for Pertinent Image Retrieval. CoRR abs/2207.04873 (2022) - [i5]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Memory transformers for full context and high-resolution 3D Medical Segmentation. CoRR abs/2210.05313 (2022) - [i4]Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. CoRR abs/2212.07890 (2022) - 2021
- [c6]Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, Luc Soler:
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. MLMI@MICCAI 2021: 267-276 - [c5]Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot:
Robust and Decomposable Average Precision for Image Retrieval. NeurIPS 2021: 23569-23581 - [i3]Olivier Petit, Nicolas Thome, Clément Rambour, Luc Soler:
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. CoRR abs/2103.06104 (2021) - [i2]Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot, Yue Huang, Laurent Ferro-Famil:
Urban Surface Reconstruction in SAR Tomography by Graph-Cuts. CoRR abs/2103.07202 (2021) - [i1]Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot:
Robust and Decomposable Average Precision for Image Retrieval. CoRR abs/2110.01445 (2021) - 2020
- [c4]Alessandra Budillon, Loïc Denis, Clément Rambour, Gilda Schirinzi, Florence Tupin:
Regularized SAR Tomography Approaches. IGARSS 2020: 108-111 - [d1]Clément Rambour, Nicolas Audebert, Elise Colin Koeniguer, Bertrand Le Saux, Michel Crucianu, Mihai Datcu:
SEN12-FLOOD : a SAR and Multispectral Dataset for Flood Detection. IEEE DataPort, 2020
2010 – 2019
- 2019
- [j2]Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot, Yue Huang, Laurent Ferro-Famil:
Urban surface reconstruction in SAR tomography by graph-cuts. Comput. Vis. Image Underst. 188 (2019) - [j1]Clément Rambour, Loïc Denis, Florence Tupin, Hélène M. Oriot:
Introducing Spatial Regularization in SAR Tomography Reconstruction. IEEE Trans. Geosci. Remote. Sens. 57(11): 8600-8617 (2019) - [c3]Clément Rambour, Loïc Denis, Florence Tupin, Hélène Oriot:
Urban surface recovery through graph-cuts over SAR tomographic reconstruction. JURSE 2019: 1-4 - 2018
- [c2]Clément Rambour, Loïc Denis, Florence Tupin, Jean-Marie Nicolas, Hélène Oriot:
SAR Tomography of Urban Areas: 3D Regularized Inversion in the Scene Geometry. IGARSS 2018: 6095-6098 - 2017
- [c1]Clément Rambour, Loïc Denis, Florence Tupin, Jean-Marie Nicolas, Hélène Oriot, Laurent Ferro-Famil, Charles-Alban Deledalle:
Similarity criterion for SAR tomography over dense urban area. IGARSS 2017: 1760-1763
Coauthor Index
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