28 citations · 69 across the 7 of their papers we have counts for
7 papers
Improving OCR using internal document redundancy
Diego Belzarena, Seginus Mowlavi, Aitor Artola +9
Current OCR systems are based on deep learning models trained on large amounts of data. Although they have shown some ability to generalize to unseen data, especially in detection…
Intensity-only measurement of partially uncontrollable transmission matrix: demonstration with wave-field shaping in a microwave cavity
Philipp del Hougne, Boshra Rajaei, Laurent Daudet +1
Transmission matrices (TMs) have become a powerful and widely used tool to describe and control wave propagation in complex media. In certain scenarios the TM is partially uncontro…
Robust phase retrieval with the swept approximate message passing (prSAMP) algorithm
Boshra Rajaei, Sylvain Gigan, Florent Krzakala +1
In phase retrieval, the goal is to recover a complex signal from the magnitude of its linear measurements. While many well-known algorithms guarantee deterministic recovery of the…
From line segments to more organized Gestalts
Boshra Rajaei, Rafael Grompone von Gioi, Jean-Michel Morel
In this paper, we reconsider the early computer vision bottom-up program, according to which higher level features (geometric structures) in an image could be built up recursively…
Fast phase retrieval for high dimensions: A block-based approach
Boshra Rajaei, Sylvain Gigan, Florent Krzakala +1
This paper addresses fundamental scaling issues that hinder phase retrieval (PR) in high dimensions. We show that, if the measurement matrix can be put into a generalized block-dia…
Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach
Boshra Rajaei, Eric W. Tramel, Sylvain Gigan +2
In this paper, the problem of compressive imaging is addressed using natural randomization by means of a multiply scattering medium. To utilize the medium in this way, its correspo…