Home » Teams » MLIA » Clement Rambour

  • Clement Rambour

  • Équipe: MLIA

Publications

  • Thérèse Tisseau Des Escotais, Clément Rambour, Bertrand Leroy, Arnaud Breloy. Echantillonage de groupes de trames dans l'édition vidéo par modèle de diffusion. ORASIS 2025, ISEN Yncréa Ouest, Jun 2025, Le Croisic, France. ⟨hal-05131243⟩
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  • Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araujo, Xavier Bitot, et al.. Optimization of Rank Losses for Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, pp.1-12. ⟨10.1109/TPAMI.2025.3543846⟩. ⟨hal-04975847⟩
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  • 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⟩
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  • 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⟩
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  • 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⟩
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  • 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⟩
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  • 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⟩
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  • 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⟩
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  • 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⟩
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