from SPArsity to DEep learning

Group Orthogonalization Regularization for Vision Models Adaptation and Robustness

Autori: Yoav Kurtz, Noga Bar, Raja Giryes
Pubblicato in: The 34th British Machine Vision Conference Proceedings, 2023
Editore: British Machine Vision Association

An ETF view of Dropout regularization

Autori: Dor Bank, Raja Giryes
Pubblicato in: The 31st British Machine Vision Conference, Numero 7th - 10th September 2020, 2020
Editore: British Machine Vision Association (BMVA)

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

Autori: Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky
Pubblicato in: European Conference on Computer Vision, 2020, ISBN 978-3-030-58571-6
Editore: Springer, Cham
DOI: 10.1007/978-3-030-58571-6

Image Restoration by Deep Projected GSURE

Autori: Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes
Pubblicato in: IEEE/CVF Winter Conference on Applications of Computer Vision, 2022, ISBN 978-1-6654-0915-5
Editore: IEEE
DOI: 10.1109/wacv51458.2022.00017

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

Autori: Gal Metzer; Elad Richardson; Or Patashnik; Raja Giryes; Daniel Cohen-Or
Pubblicato in: IEEE conference on computer vision and pattern recognition (CVPR), 2023
Editore: IEEE
DOI: 10.1109/cvpr52729.2023.01218

TEXTure: Text-Guided Texturing of 3D Shapes

Autori: Elad Richardson; Gal Metzer; Yuval Alaluf; Raja Giryes; Daniel Cohen-Or
Pubblicato in: SIGGRAPH '23: ACM SIGGRAPH 2023 Conference Proceedings, 2023
Editore: ACM
DOI: 10.1145/3588432.3591503

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

Autori: Lihi A. Shiloh Perl, Raja Giryes, Avishay Eyal
Pubblicato in: Seventh European Workshop on Optical Fibre Sensors, 2019, Pagina/e 119, ISBN 9781510631243
Editore: SPIE
DOI: 10.1117/12.2541252

Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors

Autori: Gilad Cohen, Guillermo Sapiro, Raja Giryes
Pubblicato in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Pagina/e 14441-14450, ISBN 978-1-7281-7168-5
Editore: IEEE
DOI: 10.1109/cvpr42600.2020.01446

PointGMM: A Neural GMM Network for Point Clouds

Autori: Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
Pubblicato in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Pagina/e 12051-12060, ISBN 978-1-7281-7168-5
Editore: IEEE
DOI: 10.1109/cvpr42600.2020.01207

Kernel-Based Smoothness Analysis of Residual Networks

Autori: Tirer, Tom; Bruna, Joan; Giryes, Raja
Pubblicato in: Annual Conference on Mathematical and Scientific Machine Learning, Numero 5, 2021
Editore: Proceedings of Machine Learning Research

Teaching Structured Vision&Language Concepts to Vision&Language Models

Autori: Doveh, Sivan; Arbelle, Assaf; Harary, Sivan; Panda, Rameswar; Herzig, Roei; Schwartz, Eli; Kim, Donghyun; Giryes, Raja; Feris, Rogerio; Ullman, Shimon; Karlinsky, Leonid
Pubblicato in: IEEE conference on computer vision and pattern recognition (CVPR), 2023
Editore: IEEE
DOI: 10.1109/cvpr52729.2023.00261

Utilizing Excess Resources in Training Neural Networks

Autori: Amit Henig; Raja Giryes
Pubblicato in: IEEE International Conference on Image Processing (ICIP), 2022, ISBN 978-1-6654-9620-9
Editore: IEEE
DOI: 10.1109/icip46576.2022.9897994

Best Buddies Registration for Point Clouds

Autori: Drory, Amnon; Shomer, Tal; Avidan, Shai; Giryes, Raja
Pubblicato in: Asian Conference on Computer Vision, Numero 5, 2021, ISBN 978-3-030-69524-8
Editore: Springer, Cham
DOI: 10.1007/978-3-030-69525-5_19

SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization

Autori: Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-hornung, Daniel Cohen-or
Pubblicato in: Advances in Neural Information Processing Systems, 2021
Editore: NeurIPS Proceedings

Unsupervised Domain Generalization by Learning a Bridge Across Domains

Autori: Sivan Harary; Eli Schwartz; Assaf Arbelle; Peter Staar; Shady Abu-Hussein; Elad Amrani; Roei Herzig; Amit Alfassy; Raja Giryes; Hilde Kuehne; Dina Katabi; Kate Saenko; Rogerio Feris; Leonid Karlinsky
Pubblicato in: IEEE conference on computer vision and pattern recognition (CVPR), 2022, ISBN 978-1-6654-6946-3
Editore: IEEE
DOI: 10.1109/cvpr52688.2022.00521

Detector-Free Weakly Supervised Grounding by Separation

Autori: Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu (Richard) Chen, Alex Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky
Pubblicato in: International Conference on Computer Vision (ICCV), 2021, ISBN 978-1-6654-2812-5
Editore: IEEE
DOI: 10.1109/iccv48922.2021.00182

A Spectral Perspective of DNN Robustness to Label Noise

Autori: Oshrat Bar, Amnon Drory, Raja Giryes
Pubblicato in: Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, 2022
Editore: PMLR

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

Autori: Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogerio Feris, Raja Giryes, Alex Bronstein
Pubblicato in: 2018
Editore: Curran Associates, Inc.

Learned Convolutional Sparse Coding

Autori: Hillel Sreter, Raja Giryes
Pubblicato in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Pagina/e 2191-2195, ISBN 978-1-5386-4658-8
Editore: IEEE
DOI: 10.1109/icassp.2018.8462313

Task-Driven Dictionary Learning based on Convolutional Neural Network Features

Autori: Tom Tirer, Raja Giryes
Pubblicato in: 2018 26th European Signal Processing Conference (EUSIPCO), 2018, Pagina/e 1885-1889, ISBN 978-9-0827-9701-5
Editore: IEEE
DOI: 10.23919/eusipco.2018.8553495

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection

Autori: Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, Alex M. Bronstein
Pubblicato in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Pagina/e 5192-5201, ISBN 978-1-7281-3293-8
Editore: IEEE
DOI: 10.1109/cvpr.2019.00534

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning

Autori: Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein
Pubblicato in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Pagina/e 6541-6550, ISBN 978-1-7281-3293-8
Editore: IEEE
DOI: 10.1109/cvpr.2019.00671

Deep Radar Detector

Autori: Daniel Brodeski, Igal Bilik, Raja Giryes
Pubblicato in: 2019 IEEE Radar Conference (RadarConf), 2019, Pagina/e 1-6, ISBN 978-1-7281-1679-2
Editore: IEEE
DOI: 10.1109/radar.2019.8835792

Supervised and Unsupervised Learning of Parameterized Color Enhancement

Autori: Yoav Chai, Raja Giryes, Lior Wolf
Pubblicato in: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, Pagina/e 981-989, ISBN 978-1-7281-6553-0
Editore: IEEE
DOI: 10.1109/wacv45572.2020.9093321

Neural (Tangent Kernel) Collapse

Autori: Seleznova, Mariia; Weitzner, Dana; Giryes, Raja; Kutyniok, Gitta; Chou, Hung-Hsu
Pubblicato in: Thirty-seventh Conference on Neural Information Processing Systems, 2023
Editore: ACM
DOI: 10.48550/arxiv.2305.16427

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

Autori: Shady Abu Hussein, Tom Tirer, Raja Giryes
Pubblicato in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Pagina/e 1425-1434, ISBN 978-1-7281-7168-5
Editore: IEEE
DOI: 10.1109/cvpr42600.2020.00150

Fine-grained Angular Contrastive Learning with Coarse Labels

Autori: Bukchin, Guy; Schwartz, Eli; Saenko, Kate; Shahar, Ori; Feris, Rogerio; Giryes, Raja; Karlinsky, Leonid
Pubblicato in: Conference on Computer Vision and Pattern Recognition, 2021, ISBN 978-1-6654-4509-2
Editore: IEEE
DOI: 10.1109/cvpr46437.2021.00862

An Interpretation Of Regularization By Denoising And Its Application With The Back-Projected Fidelity Term

Autori: Einav Yogev-Ofer; Tom Tirer; Raja Giryes
Pubblicato in: IEEE International Conference on Image Processing (ICIP), Numero 5, 2021, ISBN 978-1-6654-3102-6
Editore: IEEE
DOI: 10.1109/icip42928.2021.9506499

BP-DIP: A Backprojection based Deep Image Prior

Autori: Jenny Zukerman, Tom Tirer, Raja Giryes
Pubblicato in: 2020 28th European Signal Processing Conference (EUSIPCO), 2021, Pagina/e 675-679, ISBN 978-9-0827-9705-3
Editore: IEEE
DOI: 10.23919/eusipco47968.2020.9287540

StarNet: towards Weakly Supervised Few-Shot Object Detection

Autori: Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogerio Feris, Alex Bronstein, Raja Giryes
Pubblicato in: AAAI Conference on Artificial Intelligence, Numero 35, 2021
Editore: AAAI

Shallow Transits—Deep Learning. II. Identify Individual Exoplanetary Transits in Red Noise using Deep Learning

Autori: Elad Dvash; Yam Peleg; Shay Zucker; Raja Giryes
Pubblicato in: The Astronomical Journal, 2022, ISSN 0004-6256
Editore: American Astronomical Society
DOI: 10.3847/1538-3881/ac5ea2

Sparse recovery methodologies for quasi-distributed dynamic strain sensing

Autori: Lihi Shiloh, Roy Shen-Tzur, Avishay Eyal, Raja Giryes
Pubblicato in: Journal of Physics: Photonics, Numero 2/2, 2020, Pagina/e 024002, ISSN 2515-7647
Editore: iopscience
DOI: 10.1088/2515-7647/ab72de

Online Training of Stereo Self-Calibration Using Monocular Depth Estimation

Autori: Yotam Gil; Shay Elmalem; Harel Haim; Emanuel Marom; Raja Giryes
Pubblicato in: IEEE Transactions on Computational Imaging, Numero 1, 2021, ISSN 2333-9403
Editore: IEEE
DOI: 10.1109/tci.2021.3098927

A function space analysis of finite neural networks with insights from sampling theory

Autori: Raja Giryes
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numero 1, 2022, ISSN 0162-8828
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2022.3155238

A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels

Autori: D. Cohen-Hochberg and H. Greenspan and R. Giryes
Pubblicato in: IEEE Transactions on Medical Imaging, 2022, ISSN 0278-0062
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2022.3187170

Image-Adaptive GAN Based Reconstruction

Autori: Shady Abu Hussein, Tom Tirer, Raja Giryes
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 34/04, 2020, Pagina/e 3121-3129, ISSN 2374-3468
Editore: AAAI
DOI: 10.1609/aaai.v34i04.5708

On the Relationship Between Universal Adversarial Attacks and Sparse Representations

Autori: Dana Weitzner, Raja Giryes
Pubblicato in: IEEE Open Journal of Signal Processing, 2023, ISSN 2644-1322
Editore: IEEE
DOI: 10.1109/ojsp.2023.3244486

Orienting point clouds with dipole propagation

Autori: Gal Metzer; Rana Hanocka; Denis Zorin; Raja Giryes; Daniele Panozzo; Daniel Cohen-Or
Pubblicato in: ACM Transactions on Graphics, Numero 4, 2021, ISSN 0730-0301
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3450626.3459835

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

Autori: Tom Tirer; Raja Giryes
Pubblicato in: SIAM Journal on Imaging Sciences (SIIMS), Numero 2, 2021, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1407902

Motion deblurring using spatiotemporal phase aperture coding

Autori: Shay Elmalem, Raja Giryes, Emanuel Marom
Pubblicato in: Optica, Numero 7/10, 2020, Pagina/e 1332, ISSN 2334-2536
Editore: OSA
DOI: 10.1364/optica.399533

Video reconstruction from a single motion blurred image using learned dynamic phase coding

Autori: Erez Yosef; Shay Elmalem; Raja Giryes
Pubblicato in: Scientific Reports, 2023, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-023-40297-0

Separable Joint Blind Deconvolution and Demixing

Autori: Dana Weitzner; Raja Giryes
Pubblicato in: IEEE Journal of Selected Topics in Signal Processing, Numero 5, 2021, ISSN 1932-4553
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstsp.2021.3057238

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

Autori: Lihi Shiloh, Avishay Eyal, Raja Giryes
Pubblicato in: Journal of Lightwave Technology, Numero 37/18, 2019, Pagina/e 4755-4762, ISSN 0733-8724
Editore: Optical Society of America
DOI: 10.1109/jlt.2019.2919713

Point2Mesh

Autori: Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or
Pubblicato in: ACM Transactions on Graphics, Numero 39/4, 2020, ISSN 0730-0301
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3386569.3392415

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

Autori: Lihi Shiloh, Ariel Lellouch, Raja Giryes, Avishay Eyal
Pubblicato in: Optics Letters, Numero 45/7, 2020, Pagina/e 1834, ISSN 0146-9592
Editore: Optical Society of America
DOI: 10.1364/ol.386352

Self-Sampling for Neural Point Cloud Consolidation

Autori: Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
Pubblicato in: ACM Transactions on Graphics, Numero 40, 2021, Pagina/e 1-14, ISSN 0730-0301
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3470645

Generalizing CoSaMP to signals from a union of low dimensional linear subspaces

Autori: Tom Tirer, Raja Giryes
Pubblicato in: Applied and Computational Harmonic Analysis, Numero 49/1, 2020, Pagina/e 99-122, ISSN 1063-5203
Editore: Academic Press
DOI: 10.1016/j.acha.2018.11.005

A Greedy Approach to $\ell_{0,\infty}$-Based Convolutional Sparse Coding

Autori: Elad Plaut, Raja Giryes
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 12/1, 2019, Pagina/e 186-210, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1165116

ALIGNet

Autori: Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or
Pubblicato in: ACM Transactions on Graphics, Numero 38/1, 2019, Pagina/e 1-14, ISSN 0730-0301
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3267347

Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems

Autori: Raja Giryes, Yonina C. Eldar, Alex M. Bronstein, Guillermo Sapiro
Pubblicato in: IEEE Transactions on Signal Processing, Numero 66/7, 2018, Pagina/e 1676-1690, ISSN 1053-587X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2018.2791945

Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask

Autori: Harel Haim, Shay Elmalem, Raja Giryes, Alex M. Bronstein, Emanuel Marom
Pubblicato in: IEEE Transactions on Computational Imaging, Numero 4/3, 2018, Pagina/e 298-310, ISSN 2333-9403
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tci.2018.2849326

Class-Aware Fully Convolutional Gaussian and Poisson Denoising

Autori: Tal Remez, Or Litany, Raja Giryes, Alex M. Bronstein
Pubblicato in: IEEE Transactions on Image Processing, Numero 27/11, 2018, Pagina/e 5707-5722, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2018.2859044

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

Autori: Eli Schwartz, Raja Giryes, Alex M. Bronstein
Pubblicato in: IEEE Transactions on Image Processing, Numero 28/2, 2019, Pagina/e 912-923, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2018.2872858

Image Restoration by Iterative Denoising and Backward Projections

Autori: Tom Tirer, Raja Giryes
Pubblicato in: IEEE Transactions on Image Processing, Numero 28/3, 2019, Pagina/e 1220-1234, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2018.2875569

Learned phase coded aperture for the benefit of depth of field extension

Autori: Shay Elmalem, Raja Giryes, Emanuel Marom
Pubblicato in: Optics Express, Numero 26/12, 2018, Pagina/e 15316, ISSN 1094-4087
Editore: Optical Society of America
DOI: 10.1364/oe.26.015316

Shallow Transits—Deep Learning. I. Feasibility Study of Deep Learning to Detect Periodic Transits of Exoplanets

Autori: Shay Zucker, Raja Giryes
Pubblicato in: The Astronomical Journal, Numero 155/4, 2018, Pagina/e 147, ISSN 1538-3881
Editore: The American Astronomical Society
DOI: 10.3847/1538-3881/aaae05

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

Autori: Tom Tirer, Raja Giryes
Pubblicato in: IEEE Signal Processing Letters, Numero 26/7, 2019, Pagina/e 1080-1084, ISSN 1070-9908
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lsp.2019.2920250

Efficient Least Residual Greedy Algorithms for Sparse Recovery

Autori: Guy Leibovitz, Raja Giryes
Pubblicato in: IEEE Transactions on Signal Processing, 2020, Pagina/e 1-1, ISSN 1053-587X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2020.2988427

Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems

Autori: Tom Tirer, Raja Giryes
Pubblicato in: IEEE Transactions on Image Processing, Numero 29, 2020, Pagina/e 6164-6179, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2020.2988779

MeshCNN

Autori: Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or
Pubblicato in: ACM Transactions on Graphics, Numero 38/4, 2019, Pagina/e 1-12, ISSN 0730-0301
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3306346.3322959

Deep geometric texture synthesis

Autori: Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
Pubblicato in: ACM Transactions on Graphics, Numero 39/4, 2020, ISSN 0730-0301
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3386569.3392471

ISP Distillation

Autori: Eli Schwartz; Alex M. Bronstein; Raja Giryes
Pubblicato in: IEEE open journal of signal processing, 2023, ISSN 2644-1322
Editore: IEEE
DOI: 10.1109/ojsp.2023.3239819

Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization

Autori: Daniel Jakubovitz, Raja Giryes
Pubblicato in: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XII, Numero 11216, 2018, Pagina/e 525-541, ISBN 978-3-030-01257-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-01258-8_32

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