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Hoang Trieu Vy Le

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2020 – today

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2024
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Hoang Trieu Vy Le, Audrey Repetti, Nelly Pustelnik:
Unfolded Proximal Neural Networks for Robust Image Gaussian Denoising. IEEE Trans. Image Process. 33: 4475-4487 (2024)
2023
[b1]
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Hoang Trieu Vy Le:
Variations on the Mumford-Shah functional for interface detection in degraded images : from proximal algorithms to unrolled architectures. (Variations sur la fonctionnelle de Mumford-Shah pour la détection d'interfaces dans des images dégradées : des algorithmes proximaux aux architectures déroulées). École normale supérieure de Lyon, France, 2023
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Hoang Trieu Vy Le, Audrey Repetti, Nelly Pustelnik:
PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods. CoRR abs/2308.03139 (2023)
2022
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Hoang Trieu Vy Le, Marion Foare, Nelly Pustelnik:
Proximal Based Strategies for Solving Discrete Mumford-Shah With Ambrosio-Tortorelli Penalization on Edges. IEEE Signal Process. Lett. 29: 952-956 (2022)
[c1]
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Hoang Trieu Vy Le, Nelly Pustelnik, Marion Foare:
The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising. EUSIPCO 2022: 947-951

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