Journal Publications (selected)
For the most updated list of publications, please look at google scholar
SENS: Sketch-based Implicit Neural Shape Modeling
Alexandre Binninger, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes
Computer Graphics Forum (Eurographics Proc.), 2024
Deep learning in optics-a tutorial
B. Hadad, S. Froim, E. Yosef, R. Giryes, A. Bahabad
Journal of Optics, 25(12), 2023
On The Relationship Between Universal Adversarial Attacks And Sparse Representations
D. Weitzner and R. Giryes
IEEE Open Journal of Signal Processing, 2023.
Mesh Draping: Parametrization-Free Neural Mesh Transfer
A. Hertz, O. Perel, R. Giryes, O. Sorkine-Hornung and D. Cohen-Or
Computer Graphics Forum, 42(1), 72-85, 2023
Cluster with GANs
Y. Feigin, H. Spitzer, R. Giryes
Computer Vision and Image Understanding, 225, 2022
An artificial neural network explains how bats might use vision for navigation
A. Goldshtein, S. Akrish, R. Giryes, Y. Yovel
Communications Biology, 5 (1), 2022
SPAGHETTI: Editing Implicit Shapes THrough Part Aware GeneraTion
A. Hertz, O. Perel, R. Giryes, O. Sorkine-Hornung and D. Cohen-Or
Transactions on Graphics, 41(4), 2022
Shallow Transits - Deep Learning II:Identify Individual Exoplanetary Transits in Red Noise using Deep Learning
E. Dvash, Y. Peleg, S. Zucker and R. Giryes
The Astronomical Journal, 163(5), 2022.
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
Self-Sampling for Neural Point Cloud Consolidation
G. Metzer, R. Hanocka, R. Giryes and D. Cohen-Or
Transactions on Graphics, 40(5), 2021
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
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
Separable Joint Blind Deconvolution and Demixing
D. Weitzner and R. Giryes
IEEE Journal of Selected Topics in Signal Processing, 2021
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization
C. Baskin, E. Zheltonozhskii, T. Rozen, N. Liss, Y. Chai, E. Schwartz, R. Giryes, A. M. Bronstein and A. Mendelson
Mathematics, 9(17), 2021
Motion Deblurring using Spatiotemporal Phase Aperture Coding
S. Elmalem, R. Giryes and E. Marom
Optica, 7(10), pp. 1332-1340, 2020
Deep Geometric Texture Synthesis
A. Hertz, R. Hanocka, R. Giryes and D. Cohen-Or
ACM Transactions on Graphics (SIGGRAPH Proc.), 39(4), July, 2020
Efficient Least Residual Greedy Algorithms for Sparse Recovery
G. Leibovitz and R. Giryes
IEEE Transactions on Signal Processing, 68, pp. 3707-3722, 2020.
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
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.
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.
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.
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
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.
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
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.
MAEDAY: MAE for few and zero shot AnomalY-Detection
E. Schwartz, A. Arbelle, L. Karlinsky, S. Harary, F. Scheidegger, S. Doveh, R. Giryes
Computer Vision and Image Understanding, 241, 2024
Video reconstruction from a single motion blurred image using learned dynamic phase coding
E. Yosef, S. Elmalem, R. Giryes
Scientific Reports, 3(13625), 2023
ISP Distillation
E. Schwartz, A. M. Bronstein, R. Giryes
IEEE Open Journal of Signal Processing, 2023.
A function space analysis of finite neural networks with insights from sampling theory
R. Giryes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
D. Cohen-Hochberg, H. Greenspan and R. Giryes
IEEE Transactions on Medical Imaging, 41(12), 2022
Baby steps towards few-shot learning with multiple semantics
E. Schwartz, L. Karlinsky, R. Feris, R. Giryes and A. Bronstein
Pattern Recognition Letters, 160, 2022
Z2P: Instant Visualization of Point Clouds
G. Metzer, R. Hanocka, R. Giryes, N. J. Mitra, and D. Cohen-Or
Computer Graphics Forum (Eurographics Proc.), 41(2), 2022
Learning Camera Control in Dynamic Scenes from Limited Demonstrations
R. Hanocka, J. Assa, D. Cohen‐Or and R. Giryes
Computer Graphics Forum, 41(1), 2022
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
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
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.
DEGAS: Differentiable efficient generator search
S. Doveh and R. Giryes
Neural Computing and Applications, 33, pp. 17173--17184, 2021
Ranking Recovery from Limited Pairwise Comparisons using Low-Rank Matrix Completion
T. Levy, A. Vahid, R. Giryes
Applied and Computational Harmonic Analysis, 2021
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.
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
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.
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.
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.
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.
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.
Image Restoration by Iterative Denoising and Backward Projections
T. Tirer and R. Giryes
IEEE Transactions on Image Processing, 28(3), pp. 1220- 1234, 2019.
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.
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
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.
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.