1 code implementation • 23 Nov 2022 • Eric Bezzam, Martin Vetterli, Matthieu Simeoni
In this work, we enhance the privacy provided by lensless imaging by (1) downsampling at the sensor and (2) using a programmable mask with variable patterns as our optical encoder.
1 code implementation • 3 Jun 2022 • Eric Bezzam, Sepand Kashani, Martin Vetterli, Matthieu Simeoni
Lensless imaging seeks to replace/remove the lens in a conventional imaging system.
no code implementations • 3 Jun 2022 • Eric Bezzam, Martin Vetterli, Matthieu Simeoni
In this work, we exploit this unique multiplexing property: casting the optics as an encoder that produces learned embeddings directly at the camera sensor.
no code implementations • 28 Apr 2022 • Adrian Jarret, Matthieu Simeoni, Julien Fageot
Nous d\'emontrons sa sup\'eriorit\'e par rapport aux m\'ethodes proximales dans des situations en grande dimension avec des mesures de Fourier, lors de la r\'esolution de probl\`emes simul\'es inspir\'es de la radio-interf\'erom\'etrie.
1 code implementation • 6 Dec 2021 • Adrian Jarret, Julien Fageot, Matthieu Simeoni
We propose a fast and scalable Polyatomic Frank-Wolfe (P-FW) algorithm for the resolution of high-dimensional LASSO regression problems.
no code implementations • 11 Jun 2020 • Matthieu Simeoni, Adrien Besson, Paul Hurley, Martin Vetterli
Since the proximal step does not admit a simple closed-form expression, we propose an inexact PGD method, coined as Cadzow plug-and-play gradient descent (CPGD).
Optimization and Control
2 code implementations • NeurIPS 2019 • Matthieu Simeoni, Sepand Kashani, Paul Hurley, Martin Vetterli
We propose a recurrent neural-network for real-time reconstruction of acoustic camera spherical maps.