Conference Publications

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

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SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization

A. Hertz, O. Perel, R. Giryes, O. Sorkine-Hornung, D. Cohen-Or

Advances in Neural Information Processing Systems (NeurIPS), 2021.

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Detector-Free Weakly Supervised Grounding by Separation

A. Arbelle, S. Doveh, A. Alfassy, J. Shtok, G. Lev, E. Schwartz, H. Kuehne, H. Barak Levi, P. Sattigeri, R. Panda, C.-F. Chen, A. Bronstein, K. Saenko, S. Ullman, R. Giryes, R. Feris, L. Karlinsky

International Conference on Computer Vision (ICCV), 2021

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Kernel-Based Smoothness Analysis of Residual Networks

T. Tirer, J. Bruna and R. Giryes

Mathematical and Scientific Machine Learning (MSML)}, 2021

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StarNet: towards Weakly Supervised Few-Shot Object Detection

L. Karlinsky, J. Shtok, A. Alfassy, M. Lichtenstein, S. Harary, E. Schwartz, S. Doveh, P. Sattigeri, R. Feris, A. Bronstein, R. Giryes

AAAI, 2021

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Face Authentication from Grayscale Coded Light Field

D. Weitzner, D. Mendelovic and R. Giryes

Intl. conference on image processing (ICIP), 2020.

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Deep Sparse Light Field Refocusing

Oral

S. Ben Dayan, D. Mendelovic and R. Giryes

British Machine Vision Conference (BMVC), 2020.

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TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification

M. Lichtenstein, P. Sattigeri, R. Feris, R. Giryes, L. Karlinsky

European Conference on Computer Vision (ECCV), 2020.

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Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data

R. Levy-Leshem and R. Giryes

European Signal Processing Conference (EUSIPCO), 2020, Amsterdam, Netherlands.

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Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers

Oral and Paper Award Nominee

S. Abu Hussein, T. Tirer and R. Giryes

IEEE conference on computer vision and pattern recognition (CVPR), 2020

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Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors

G. Cohen, G. Sapiro and R. Giryes

IEEE conference on computer vision and pattern recognition (CVPR), 2020

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On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein’s Unbiased Risk Estimator

S. Soltanayev, R. Giryes, S. Y. Chun and Y. C. Eldar

Intl. Conf. Acoustics Speech and Signal Processing (ICASSP), 2020, Barcelona, Spain.

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Supervised and Unsupervised Learning of Parameterized Color Enhancement

Y. Chai, R. Giryes and L. Wolf

IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.

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Utilizing the sparsity of quasi-distributed sensing systems for sub-Nyquist signal reconstruction

L. Shiloh, R. Giryes and A. Eyal

European Workshop on Optical Fibre Sensors, 2019

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Blind Visual Motif Removal from a Single Image

Oral

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

IEEE conference on computer vision and pattern recognition (CVPR), 2019

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Deep Radar Detector

D. Brodeski, I. Bilik and R. Giryes

IEEE Radar Conference (RadarConf), 2019.

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An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring

T. Tirer and R. Giryes

Intl. Conference on Image Processing (ICIP), 2018, Athens, Greek.

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Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization‏

D. Jakubovitz and R. Giryes

European Conference on Computer Vision (ECCV), 2018, Munich, Germany.

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Fast and Accurate Reconstruction of Compressed Color Light Field‏

O. Nabati, D. Mendelovic and R. Giryes

Intl. Conference on Computational Photography (ICCP), 2018, CMU, USA.

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Matching Pursuit Based Convolutional Sparse Coding (invited)

E. Plaut and R. Giryes

Intl. Conf. Acoustics Speech and Signal Processing (ICASSP), April 2018, Calgary, Canada.

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White Matter Fiber Representation using Continuous Dictionary Learning

G. Alexandroni, Y. Podolsky, O. Litany, T. Remez, Alex. M. Bronstein, H. Greenspan and R. Giryes

MICCAI, 2017, Quebec, Canada.

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Generalization Error of Deep Neural Networks: Role of Classification Margin and Data Structure (invited)

J. Sokolic, R. Giryes, G. Sapiro, and M. R. D. Rodrigues

Intl. Conf. on Sampling Theory and Applications (SAMPTA), 2017, Tallinn, Estonia.

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Generalization Error of Invariant Classifiers International Conference on

J. Sokolic, R. Giryes, G. Sapiro, and M. R. D. Rodrigues

Artificial Intelligence and Statistics (AISTATS), 2017, Florida, USA

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On the Effective Measure of Dimension in Total Variation Minimization

R. Giryes, Y. Plan and R. Vershynin

Intl. Conf. on Sampling Theory and Applications (SAMPTA), May 2015, Washington DC, USA.

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Iterative Hard Thresholding with Near Optimal Projection for Signal Recovery

R. Giryes and M. Elad

Intl. Conf. on Sampling Theory and Applications (SAMPTA), July 2013, Bremen, Germany.

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Can We Allow Linear Dependencies in the Dictionary in the Sparse Synthesis Framework?

R. Giryes and M. Elad

Intl. Conf. Acoustics Speech and Signal Processing (ICASSP), July 2013, Vancouver, Canada.

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DeepBBS: Deep Best Buddies for Point Cloud Registration

I. Hezroni, A. Drory, R. Giryes, S. Avidan

International conference on 3D vision (3DV), 2021

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An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term

E. Yogev-Ofer, T. Tirer and R. Giryes

International Conference on Image Processing (ICIP), 2021

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Fine-grained Angular Contrastive Learning with Coarse Labels

G. Bukchin, E. Schwartz, K. Saenko, O. Shahar, R. Feris, R. Giryes, L. Karlinsky

IEEE conference on computer vision and pattern recognition (CVPR), 2021

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Best Buddies Registration for Point Clouds

A. Drory, T. Shomer, S. Avidan and R. Giryes

Asian Conference on Computer Vision (ACCV), 2020.

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An ETF view of Dropout regularization

D. Bank, R. Giryes

British Machine Vision Conference (BMVC), 2020

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The Resistance to Label Noise in K-NN and DNN Depends on its Concentration‏

A. Drory, O. Ratzon, S. Avidan and R. Giryes

British Machine Vision Conference (BMVC), 2020.

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BP-DIP: A backprojection based deep image prior

J. Zukerman, T. Tirer and R. Giryes

European Signal Processing Conference (EUSIPCO), 2020, Amsterdam, Netherlands.

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Low Resource Sequence Tagging using Sentence Reconstruction

T. Perl, S. Chaudhury and R. Giryes

Annual Meeting of the Association for Computational Linguistics (ACL), 2020.

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PointGMM: a Neural GMM Network for Point Clouds

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

IEEE conference on computer vision and pattern recognition (CVPR), 2020

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Separable Optimization for Joint Blind Deconvolution and Demixing

D. Weitzner and R. Giryes

Intl. Conf. Acoustics Speech and Signal Processing (ICASSP), 2020, Barcelona, Spain.

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ASAP: Architecture Search, Anneal and Prune International Conference on

A. Noy, N. Nayman, T. Ridnik, N. Zamir, S. Doveh, I. Friedman, R. Giryes, L. Zelnik

Artificial Intelligence and Statistics (AISTATS) , 2020.

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Image-Adaptive GAN based Reconstruction

S. Abu Hussein, T. Tirer and R. Giryes

AAAI, 2020

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RepMet: Representative-based metric learning for classification and one-shot object detection

E. Schwartz, L. Karlinsky, J. Shtok, S. Harary, M. Marder, R. Feris, A. Kumar, S. Pankanti, R. Giryes and A. M. Bronstein

IEEE conference on computer vision and pattern recognition (CVPR), 2019.

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LaSO: Label-Set Operations networks for multi-label few-shot learning

Oral

A. Alfassy, L. Karlinsky, A. Aides, J. Shtok, S. Harary, R. Feris, R. Giryes and A. M. Bronstein

IEEE conference on computer vision and pattern recognition (CVPR), 2019.

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Delta-encoder an effective sample synthesis method for few-shot object recognition

Spotlight

E. Schwartz, L. Karlinsky, J. Shtok, S. Harary, M. Marder, R. Feris, A. Kumar, R. Giryes and A. M Bronstein

Advances in Neural Information Processing Systems (NeurIPS), 2018, Montréal, Canada.

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Deep Learning Approach for Processing Fiber-Optic DAS Seismic Data

L. Shiloh, A. Eyal and R. Giryes

Optical Fiber Sensors (OFS), 2018

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Task-Driven Dictionary Learning Based on Convolutional Neural Network Features (invited)

T. Tirer and R. Giryes

European Signal Processing Conference (EUSIPCO), 2018, Rome, Italy.

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Learned Convolutional Sparse Coding

H. Sreter and R. Giryes

Intl. Conf. Acoustics Speech and Signal Processing (ICASSP), April 2018, Calgary, Canada.

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The Learned Inexact Project Gradient Descent Algorithm (invited)

R. Giryes, Y. C. Eldar, A. M. Bronstein and G. Sapiro

Intl. Conf. Acoustics Speech and Signal Processing (ICASSP), April 2018, Calgary, Canada.

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Fast Least Squares Pursuits for Sparse Recovery (invited)

G. Leibovitz and R. Giryes

Intl. Conf. on Sampling Theory and Applications (SAMPTA), 2017, Tallinn, Estonia.

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Deep Class-Aware Image Denoising (invited)

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

Intl. Conf. on Sampling Theory and Applications (SAMPTA), 2017, Tallinn, Estonia.

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Reducing Artifacts of Intra-Frame Video Coding via Sequential Denoising

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

Intl. Conference on the Science of Electrical Engineering (ICSEE), Nov. 2016, Eilat, Israel.

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Sparsity Based Poisson Inpainting (invited)

R. Giryes and M. Elad

IEEE international conference on image processing (ICIP), Oct. 2014, Paris, France.

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OMP with Highly Coherent Dictionaries

R. Giryes and M. Elad

Intl. Conf. on Sampling Theory and Applications (SAMPTA), July 2013, Bremen, Germany.

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Sparsity Based Poisson Denoising

R. Giryes and M. Elad

IEEE Convention of Electronics and Electrical Engineers in Israel (IEEEI), Nov. 2012