Journal Publications

For the most updated list of publications, please look at google scholar

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A deep-learning model for predictive archaeology and archaeological community detection

A. Resler, R. Yeshurun, F. Natalio and R. Giryes

Humanities and social sciences communications, 2021

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Self-Sampling for Neural Point Cloud Consolidation

G. Metzer, R. Hanocka, R. Giryes and D. Cohen-Or

Transactions on Graphics, 40(5), 2021

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MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification

S. Doveh, E. Schwartz, C. Xue, R. Feris, A. Bronstein, R. Giryes and L. Karlinsky‏

Pattern Recognition Letters, 149, pp. 130-136, 2021

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Online Training of Stereo Self-Calibration using Monocular Depth Estimation

Y. Gil, S. Elmalem, H. Haim, E. Marom, and R. Giryes

IEEE Transactions on Computational Imaging, 7, pp. 812-823, 2021

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Separable Joint Blind Deconvolution and Demixing

D. Weitzner and R. Giryes

IEEE Journal of Selected Topics in Signal Processing, 2021

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UNIQ: Uniform Noise Injection for non-uniform Quantization of neural networks

C. Baskin, E. Schwartz, E. Zheltonozhskii, N. Liss, R. Giryes, A. M. Bronstein and A. Mendelson

ACM Transactions on Computer Systems.

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Point2Mesh: A Self-Prior for Deformable Meshes

R. Hanocka, G. Metzer, R. Giryes and D. Cohen-Or

ACM Transactions on Graphics (SIGGRAPH Proc.), 39(4), July, 2020

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Back-projection based fidelity term for ill-posed linear inverse problems

T. Tirer and R. Giryes

IEEE Transactions on Image Processing, 22, pp. 6164-6179, 2020.

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Sparse recovery methodologies for quasi-distributed dynamic strain sensing

L. Shiloh, R. Shen-Tzur, A. Eyal and R. Giryes

Journal of Physics: Photonics, 2(2), 2020.

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Fiber-optic distributed seismic sensing data generator and its application for training classification nets

L. Shiloh, A. Lellouch, R. Giryes and A. Eyal

Optics Letters, 45(7), pp. 1834-1837, 2020.

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TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set

M. Rubin, O. Stein, N. A. Turko, Y. Nygate, D. Roitshtain, L. Karako, I. Barnea, R. Giryes, N. T. Shaked

Medical Image Analysis, 57, pp. 176-185, 2019.

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Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning

T. Tirer and R. Giryes

IEEE Signal Processing Letters, 26(7), pp. 1080-1084, 2019.

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Image Restoration by Iterative Denoising and Backward Projections

T. Tirer and R. Giryes

IEEE Transactions on Image Processing, 28(3), pp. 1220- 1234, 2019.

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DeepISP: Toward Learning an End-to-End Image Processing Pipeline

E. Schwartz, R. Giryes and A. M. Bronstein

IEEE Transactions on Image Processing, vol. 28(2), pp. 912-923, 2019.

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Depth Estimation from a Single Image using Deep Learned Phase Coded Mask

Won an OSA award

H. Haim, S. Elmalem, R. Giryes, A. M. Bronstein and E. Marom

IEEE Transactions on Computational Imaging, vol. 4(3), pp. 298-310, 2018

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Shallow Transits – Deep Learning I: Feasibility Study of Deep Learning to Detect Periodic Transits of Exoplanets

S. Zucker and R. Giryes

The Astronomical Journal, vol. 155(4), 2018.

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Robust Large Margin Deep Neural Networks

J. Sokoli´c, R. Giryes, G. Sapiro, and M. R. D. Rodrigues

IEEE Transactions on Signal Processing, vol. 65(16), Aug. 2017.

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Postprocessing of Compressed Images via Sequential Denoising

Y. Dar, A. M. Bruckstein, M. Elad and R. Giryes

IEEE Transactions on Image Processing, vol. 25(7), pp. 3044-3058, Jul. 2016.

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Sampling in the Analysis Transform Domain

R. Giryes

Applied and Computational Harmonic Analysis, vol. 40(1), pp. 172--185, Jan. 2016.

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On the Effective Measure of Dimension in Analysis Cosparse Models

R. Giryes, Y. Plan and R. Vershynin

IEEE Transactions on Information Theory, vol. 61(10), pp. 5745--5753, Oct. 2015.

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Greedy Signal Space Methods for Incoherence and Beyond

R. Giryes and D. Needell

Applied and Computational Harmonic Analysis, vol. 39(1), pp. 1--20, Jul. 2015.

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Sparsity Based Poisson Denoising with Dictionary Learning

R. Giryes and M. Elad

IEEE Transactions on Image Processing, vol. 23(12), pp. 5057--5069, Dec. 2014.

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Simple and Robust Binary Self-Location Patterns

A.M. Bruckstein, T. Etzion, R. Giryes, N. Gordon, R.J. Holt and D. Shuldiner

IEEE Transactions on Information Theory, vol. 58(7), pp. 4884--4889, July 2012

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The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods

R. Giryes, M. Elad, and Y.C. Eldar

Applied and Computational Harmonic Analysis, vol. 30(3), pp. 407--422, May 2011.

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MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation

N. Barzilay, Tal Berkovitz and R. Giryes

Pattern Recognition Letters, 151, pp. 140-147, 2021

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On the Convergence Rate of Projected Gradient Descent for a Back-Projection based Objective

T. Tirer and R. Giryes

SIAM Journal on Imaging Sciences, 14(4), pp. 1504–1531, 2021

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Orienting Point Clouds with Dipole Propagation

G. Metzer, R. Hanocka, Denis Zorin, R. Giryes, D. Panozzo and D. Cohen-Or

Transactions on Graphics, 40(4), 2021.

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DEGAS: Differentiable efficient generator search

S. Doveh and R. Giryes

Neural Computing and Applications, 33, pp. 17173--17184, 2021

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Ranking Recovery from Limited Pairwise Comparisons using Low-Rank Matrix Completion

T. Levy, A. Vahid, R. Giryes

Applied and Computational Harmonic Analysis, 2021

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Motion Deblurring using Spatiotemporal Phase Aperture Coding

S. Elmalem, R. Giryes and E. Marom

Optica, 7(10), pp. 1332-1340, 2020

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Deep Geometric Texture Synthesis

A. Hertz, R. Hanocka, R. Giryes and D. Cohen-Or

ACM Transactions on Graphics (SIGGRAPH Proc.), 39(4), July, 2020

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Efficient Least Residual Greedy Algorithms for Sparse Recovery

G. Leibovitz and R. Giryes

IEEE Transactions on Signal Processing, 68, pp. 3707-3722, 2020.

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Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces

T. Tirer, R. Giryes

Applied and Computational Harmonic Analysis, 49(1), pp. 99-122, 2020

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MeshCNN: A Network with an Edge

R. Hanocka, A. Hertz, N. Fish, R. Giryes, S. Fleishman, D. Cohen-Or

ACM Transactions on Graphics (SIGGRAPH Proc.), 38(4), 2019.

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Efficient Processing of Distributed Acoustic Sensing Data Using a Deep Learning Approach

L. Shiloh, A. Eyal and R. Giryes

Journal of Lightwave Technology, 37(18), pp. 4755-4762, 2019.

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ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning

R. Hanocka, N. Fish, Z. Wang, R. Giryes, S. Fleishman, D. Cohen-Or

ACM Transactions on Graphics, vol. 38(1), pp. 1-14, 2019.

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A Greedy Approach to l_0,infty-Based Convolutional Sparse Coding

E. Plaut and R. Giryes

SIAM Journal on Imaging Sciences, vol. 12(1), pp. 186–210, 2019

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Class-Aware Fully-Convolutional Gaussian and Poisson Denoising

T. Remez, O. Litany, R. Giryes, A. M. Bronstein

IEEE Transactions on Image Processing, vol. 27(11), pp. 5707-5722, 2018.

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Learned Phase Coded Aperture for the Benefit of Depth of Field Extension

S. Elmalem, R. Giryes and E. Marom

Optics Express, vol. 26(12), pp. 15316-15331, 2018

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Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems

R. Giryes, Yonina C. Eldar, Alex M. Bronstein and Guillermo Sapiro

IEEE Transactions on Signal Processing, vol. 66(7), pp. 1676-1690, 2018.

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Poisson Inverse Problems by the Plug-and-Play Scheme

Best Paper Award Honorable Mention

Arie Rond, R. Giryes and M. Elad

Journal of Visual Communication and Image Representation, vol. 41, pp. 96-108, Nov. 2016.

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Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

R. Giryes, A.M. Bronstein, G. Sapiro

IEEE Transactions on Signal Processing, vol. 64(13), pp. 3444-3457, Jul. 2016.

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A Greedy Algorithm for the Analysis Transform Domain

R. Giryes

Neurocomputing, vol. 173(2), pp. 278--289, Jan. 2016.

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Sparsity Based Methods for Overparameterized Variational Problems

R. Giryes, M. Elad, A. M. Bruckstein

SIAM Journal on Imaging Sciences, vol. 8(3), pp. 2133-–2159, 2015.

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Near Oracle Performance and Block Analysis of Signal Space Greedy Methods

R. Giryes and D. Needell

Journal of Approximation Theory, vol. 194, pp. 157--174, Jun. 2015.

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Greedy-Like Algorithms for the Cosparse Analysis Model

R. Giryes, S. Nam, M. Elad, R. Gribonval and M.E. Davies

Linear Algebra and its Applications, vol. 441, pp. 22--60, Jan. 2014.

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RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT

R. Giryes and M. Elad

IEEE Transactions on Signal Processing}, vol.60(3), pp. 1465--1468, March 2012