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Raphaël Achddou
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2020 – today
- 2024
- [i2]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. CoRR abs/2404.07212 (2024) - 2023
- [b1]Raphaël Achddou:
Synthetic learning for neural image restoration methods. (Apprentissage synthétique pour les méthodes neuronales de restauration d'images). Polytechnic Institute of Paris, Palaiseau, France, 2023 - [j1]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Fully synthetic training for image restoration tasks. Comput. Vis. Image Underst. 233: 103723 (2023) - [c4]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Learning Raw Image Denoising Using a Parametric Color Image Model. ICIP 2023: 2690-2694 - [c3]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. SSVM 2023: 314-325 - 2021
- [c2]Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro:
Nested Learning for Multi-Level Classification. ICASSP 2021: 2815-2819 - [c1]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Synthetic Images as a Regularity Prior for Image Restoration Neural Networks. SSVM 2021: 333-345 - 2020
- [i1]Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro:
Nested Learning For Multi-Granular Tasks. CoRR abs/2007.06402 (2020)
Coauthor Index
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last updated on 2024-05-31 01:40 CEST by the dblp team
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