Similarity criterion for SAR tomography over dense urban area. - Clément Rambour; Loïc Denis; Florence Tupin; Jean-Marie Nicolas 002; Hélène Oriot; Laurent Ferro-Famil; Charles-Alban Deledalle (IGARSS, 2017)

SAR Tomography of Urban Areas: 3D Regularized Inversion in the Scene Geometry. - Clément Rambour; Loïc Denis; Florence Tupin; Jean-Marie Nicolas 002; Hélène Oriot (IGARSS, 2018)

Urban surface recovery through graph-cuts over SAR tomographic reconstruction. - Clément Rambour; Loïc Denis; Florence Tupin; Hélène Oriot (JURSE, 2019)

Urban surface reconstruction in SAR tomography by graph-cuts. - Clément Rambour; Loïc Denis; Florence Tupin; Hélène Oriot; Yue Huang 002; Laurent Ferro-Famil (Comput. Vis. Image Underst., 2019)

Introducing Spatial Regularization in SAR Tomography Reconstruction. - Clément Rambour; Loïc Denis; Florence Tupin; Hélène M. Oriot (IEEE Trans. Geosci. Remote. Sens., 2019)

Regularized SAR Tomography Approaches. - Alessandra Budillon; Loïc Denis; Clément Rambour; Gilda Schirinzi; Florence Tupin (IGARSS, 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 (IEEE DataPort, 2020)

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. - Olivier Petit; Nicolas Thome; Clément Rambour; Loic Themyr; Toby Collins; Luc Soler (MLMI@MICCAI, 2021)

Robust and Decomposable Average Precision for Image Retrieval. - Elias Ramzi; Nicolas Thome; Clément Rambour; Nicolas Audebert; Xavier Bitot (NeurIPS, 2021)

U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. - Olivier Petit; Nicolas Thome; Clément Rambour; Luc Soler (CoRR, 2021)

Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. - Vincent Le Guen; Clément Rambour; Nicolas Thome (ECCV (21), 2022)

Hierarchical Average Precision Training for Pertinent Image Retrieval. - Elias Ramzi; Nicolas Audebert; Nicolas Thome; Clément Rambour; Xavier Bitot (ECCV (14), 2022)

Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation. - Loic Themyr; Clément Rambour; Nicolas Thome; Toby Collins; Alexandre Hostettler (MLMI@MICCAI, 2022)

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. - Marc Lafon; Elias Ramzi; Clément Rambour; Nicolas Thome (ICML, 2023)

Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. - Loic Themyr; Clément Rambour; Nicolas Thome; Toby Collins; Alexandre Hostettler (WACV, 2023)

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks. - Denis Coquenet; Clément Rambour; Emanuele Dalsasso; Nicolas Thome (CoRR, 2023)

GalLoP: Learning Global and Local Prompts for Vision-Language Models. - Marc Lafon; Elias Ramzi; Clément Rambour; Nicolas Audebert; Nicolas Thome (ECCV (61), 2024)

Energy Correction Model in the Feature Space for Out-of-Distribution Detection. - Marc Lafon; Clément Rambour; Nicolas Thome (CoRR, 2024)

MERLIN-Seg: Self-supervised despeckling for label-efficient semantic segmentation. - Emanuele Dalsasso; Clément Rambour; Nicolas Trouvé; Nicolas Thome (Comput. Vis. Image Underst., 2024)

VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. - Paul Couairon; Clément Rambour; Jean-Emmanuel Haugeard; Nicolas Thome (Trans. Mach. Learn. Res., 2024)

Optimization of Rank Losses for Image Retrieval. - Elias Ramzi; Nicolas Audebert; Clément Rambour; André Araújo 001; Xavier Bitot; Nicolas Thome (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

ViLU: Learning Vision-Language Uncertainties for Failure Prediction. - Marc Lafon; Yannis Karmim; Julio Silva-Rodríguez; Paul Couairon; Clément Rambour; Raphaël Fournier-S'niehotta; Ismail Ben Ayed; Jose Dolz; Nicolas Thome (CoRR, 2025)

CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation. - Marc Lafon; Gustavo Adolfo Vargas Hakim; Clément Rambour; Christian Desrosiers; Nicolas Thome (CoRR, 2025)