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Rita Fermanian

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2023
[b1]
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Rita Fermanian:
Deep learning for inverse problems and application to omnidirectional imaging. (Apprentissage profond pour les problèmes inverses et application à l'imagerie omnidirectionnelle). University of Rennes 1, France, 2023
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Rita Fermanian, Mikael Le Pendu, Christine Guillemot:
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent. SIAM J. Imaging Sci. 16(2): 585-613 (2023)
[c4]
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  - conf/ismar/FermanianMG23
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Rita Fermanian, Thomas Maugey, Christine Guillemot:
SphereDRUNet: A Spherical Denoiser for Omnidirectional Images. ISMAR-Adjunct 2023: 417-422
2022
[c3]
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  - conf/mmsp/FermanianYAB22
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Rita Fermanian, Charles Yaacoub, Adib Akl, Petra Bilane:
A Deep Convolutional Neural Network for Character Recognition in Ancient Syriac Manuscripts. MMSP 2022: 1-5
[i1]
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  - journals/corr/abs-2204-13940
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Rita Fermanian, Mikael Le Pendu, Christine Guillemot:
Learned Gradient of a Regularizer for Plug-and-Play Gradient Descent. CoRR abs/2204.13940 (2022)
2021
[c2]
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Rita Fermanian, Mikael Le Pendu, Christine Guillemot:
Regularizing the Deep Image Prior with a Learned Denoiser for Linear Inverse Problems. MMSP 2021: 1-6
2020
[c1]
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  - conf/ipta/FermanianYAB20
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Rita Fermanian, Charles Yaacoub, Adib Akl, Petra Bilane:
Deep Recognition-based Character Segmentation in Handwritten Syriac Manuscripts. IPTA 2020: 1-6

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