Home » Teams » MLIA » Clement Rambour
  • Clement Rambour

  • Équipe: MLIA

Publications

  • Emanuele Dalsasso, Clément Rambour, Nicolas Trouvé, Nicolas Thome. MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation. Computer Vision and Image Understanding, 2024, 241, ⟨10.1016/j.cviu.2024.103940⟩. ⟨hal-04163624v2⟩
  • Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome. GalLoP: Learning Global and Local Prompts for Vision-Language Models. The 18th European Conference on Computer Vision ECCV 2024, Sep 2024, Milan, Italy. ⟨10.48550/arXiv.2407.01400⟩. ⟨hal-04635800⟩
  • Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome. Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. International Conference on Machine Learning, Jul 2023, Honololu, Hawaii, United States. ⟨hal-04112184v2⟩
  • Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot. Hierarchical Average Precision Training for Pertinent Image Retrieval. ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France. ⟨hal-04219526⟩
  • Loïc Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler. Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2023, Waikoloa, United States. pp.3223-3232, ⟨10.1109/WACV56688.2023.00324⟩. ⟨hal-03901666⟩
  • Vincent Le Guen, Clément Rambour, Nicolas Thome. Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. ECCV 2022, Oct 2022, Tel Aviv, Israel. ⟨10.1007/978-3-031-19803-8_8⟩. ⟨hal-03717740⟩
  • Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot. Hierarchical Average Precision Training for Pertinent Image Retrieval. ECCV 2022, Oct 2022, Tel-Aviv, Israel. ⟨hal-03712933v2⟩