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Valerio Cambareri
Valerio Cambareri
Staff Software Engineer, Sony Depthsensing Solutions NV
Verified email at sony.com - Homepage
Title
Cited by
Cited by
Year
Low-complexity multiclass encryption by compressed sensing
V Cambareri, M Mangia, F Pareschi, R Rovatti, G Setti
IEEE Transactions on Signal Processing 63 (9), 2183 - 2195, 2015
1642015
On Known-Plaintext Attacks to a Compressed Sensing-based Encryption: a Quantitative Analysis
V Cambareri, M Mangia, F Pareschi, R Rovatti, G Setti
IEEE Transactions on Information Forensics and Security, 2015
892015
Consistent basis pursuit for signal and matrix estimates in quantized compressed sensing
A Moshtaghpour, L Jacques, V Cambareri, K Degraux, ...
IEEE Signal Processing Letters 23 (1), 25-29, 2015
572015
Rakeness-based design of low-complexity compressed sensing
M Mangia, F Pareschi, V Cambareri, R Rovatti, G Setti
IEEE transactions on circuits and systems I: Regular Papers 64 (5), 1201-1213, 2017
562017
Adapted compressed sensing for effective hardware implementations: A design flow for signal-level optimization of compressed sensing stages
M Mangia, F Pareschi, V Cambareri, R Rovatti, G Setti
Springer, 2018
382018
Time for dithering: fast and quantized random embeddings via the restricted isometry property
L Jacques, V Cambareri
Information and Inference: A Journal of the IMA 6 (4), 441-476, 2017
382017
A Case Study in Low-Complexity ECG Signal Encoding: How Compressing is Compressed Sensing?
V Cambareri, M Mangia, F Pareschi, R Rovatti, G Setti
IEEE Signal Processing Letters 22 (10), 1743-1747, 2015
372015
A two-class information concealing system based on compressed sensing
V Cambareri, J Haboba, F Pareschi, R Rovatti, G Setti, K Wong
2013 IEEE International Symposium on Circuits and Systems (ISCAS), 1356-1359, 2013
362013
A rakeness-based design flow for Analog-to-Information conversion by Compressive Sensing
V Cambareri, M Mangia, F Pareschi, R Rovatti, G Setti
2013 IEEE International Symposium on Circuits and Systems (ISCAS), 1360-1363, 2013
322013
A non-convex blind calibration method for randomised sensing strategies
V Cambareri, L Jacques
2016 4th International Workshop on Compressed Sensing Theory and its …, 2016
262016
Generalized inpainting method for hyperspectral image acquisition
K Degraux, V Cambareri, L Jacques, B Geelen, C Blanch, G Lafruit
2015 IEEE International Conference on Image Processing (ICIP), 315-319, 2015
232015
Through the haze: a non-convex approach to blind gain calibration for linear random sensing models
V Cambareri, L Jacques
Information and Inference: A Journal of the IMA 8 (2), 205-271, 2018
22*2018
A greedy blind calibration method for compressed sensing with unknown sensor gains
V Cambareri, A Moshtaghpour, L Jacques
2017 IEEE International Symposium on Information Theory (ISIT), 1132-1136, 2017
192017
Multispectral compressive imaging strategies using Fabry–Pérot filtered sensors
K Degraux, V Cambareri, B Geelen, L Jacques, G Lafruit
IEEE Transactions on Computational Imaging 4 (4), 661-673, 2018
162018
A variable density sampling scheme for compressive Fourier transform interferometry
A Moshtaghpour, L Jacques, V Cambareri, P Antoine, M Roblin
SIAM journal on imaging sciences 12 (2), 671-715, 2019
122019
The Rare Eclipse Problem on Tiles: Quantised Embeddings of Disjoint Convex Sets
V Cambareri, C Xu, L Jacques
12th International Conference of Sampling Theory and Applications …, 2017
112017
Compressive Hyperspectral Imaging by Out-of-focus Modulations and Fabry-Pérot Spectral Filters
K Degraux, V Cambareri, B Geelen, L Jacques, G Lafruit, G Setti
iTWIST'14: international International Traveling Workshop on Interactions …, 2014
82014
Compressive Hyperspectral Imaging with Fourier Transform Interferometry
A Moshtaghpour, K Degraux, V Cambareri, A Gonzalez, M Roblin, ...
iTWIST'16: international Traveling Workshop on Interactions between Sparse …, 2016
7*2016
Maximum entropy hadamard sensing of sparse and localized signals
V Cambareri, R Rovatti, G Setti
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
42014
A low memory footprint quantized neural network for depth completion of very sparse time-of-flight depth maps
X Jiang, V Cambareri, G Agresti, CI Ugwu, A Simonetto, F Cardinaux, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
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Articles 1–20