Numerical Implementation of the Ambrosio-Tortorelli Functional Using Discrete Calculus and Application to Image Restoration and Inpainting. - Marion Foare; Jacques-Olivier Lachaud; Hugues Talbot (RRPR@ICPR, 2016)

Image restoration and segmentation using the Ambrosio-Tortorelli functional and Discrete Calculus. - Marion Foare; Jacques-Olivier Lachaud; Hugues Talbot (ICPR, 2016)

Piecewise smooth reconstruction of normal vector field on digital data. - David Coeurjolly; Marion Foare; Pierre Gueth; Jacques-Olivier Lachaud (Comput. Graph. Forum, 2016)

A New Proximal Method for Joint Image Restoration and Edge Detection with the Mumford-Shah Model. - Marion Foare; Nelly Pustelnik; Laurent Condat (ICASSP, 2018)

A Passive Method to Infer the Weighted Conflict Graph of an IEEE 802.11 Network. - Lafdal Abdewedoud; Anthony Busson; Isabelle Guérin Lassous; Marion Foare (ADHOC-NOW, 2019)

Discrete Mumford-Shah on Graph for Mixing Matrix Estimation. - Yacouba Kaloga; Marion Foare; Nelly Pustelnik; Pablo Jensen (IEEE Signal Process. Lett., 2019)

Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model. - Marion Foare; Nelly Pustelnik; Laurent Condat (IEEE Trans. Image Process., 2020)

Inference of a clear channel assessment based conflict graph. - Lafdal Abdelwedoud; Anthony Busson; Isabelle Guérin Lassous; Marion Foare; Mohamed Lamine Diakité; Mohamedade Farouk Nanne (Internet Technol. Lett., 2021)

The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising. - Hoang Trieu Vy Le; Nelly Pustelnik; Marion Foare (EUSIPCO, 2022)

Proximal Based Strategies for Solving Discrete Mumford-Shah With Ambrosio-Tortorelli Penalization on Edges. - Hoang Trieu Vy Le; Marion Foare; Nelly Pustelnik (IEEE Signal Process. Lett., 2022)

Embedding Blake-Zisserman Regularization in Unfolded Proximal Neural Networks for Enhanced Edge Detection. - Hoang Trieu Vy Le; Marion Foare; Audrey Repetti; Nelly Pustelnik (IEEE Signal Process. Lett., 2025)