Raja Giryes

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	Wszystkie	Od 2018
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Współautorzy

Alex BronsteinTechnion, Department of Computer ScienceZweryfikowany adres z technion.ac.il
Michael EladProfessor of Computer Science, Technion, IsraelZweryfikowany adres z cs.technion.ac.il
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.Zweryfikowany adres z duke.edu
Miguel RodriguesProfessor of Information Theory and Processing, University College LondonZweryfikowany adres z ucl.ac.uk
Yonina EldarMath and Computer Science, WeizmannZweryfikowany adres z weizmann.ac.il
Jure SokolicZweryfikowany adres z metronik.si
Or LitanyResearch Scientist, NVIDIAZweryfikowany adres z nvidia.com
Tal RemezAI Researcher, Facebook AI Research (FAIR)Zweryfikowany adres z fb.com
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelZweryfikowany adres z cs.technion.ac.il
Rémi GribonvalInria & ENS de LyonZweryfikowany adres z ens-lyon.fr
mike daviesProfessor of Signal and Image Processing, University of EdinburghZweryfikowany adres z ed.ac.uk
Deanna NeedellProfessor of Mathematics, UCLAZweryfikowany adres z cmc.edu
Yehuda DarComputer Science Dept., Ben-Gurion UniversityZweryfikowany adres z bgu.ac.il
Roman VershyninProfessor of Mathematics, University of California, IrvineZweryfikowany adres z uci.edu
Yaniv PlanUniversity of British ColumbiaZweryfikowany adres z math.ubc.ca

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Raja Giryes

Associate Professor, Tel Aviv University

Zweryfikowany adres z tauex.tau.ac.il - Strona główna

Signal and Image Processing Sparsity Big Data Compressed Sensing Deep Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Meshcnn: a network with an edge R Hanocka, A Hertz, N Fish, R Giryes, S Fleishman, D Cohen-Or ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019	458	2019
Autoencoders D Bank, N Koenigstein, R Giryes arXiv preprint arXiv:2003.05991, 2020	368	2020
Delta-encoder: an effective sample synthesis method for few-shot object recognition E Schwartz, L Karlinsky, J Shtok, S Harary, M Marder, A Kumar, R Feris, ... Advances in neural information processing systems 31, 2018	326	2018
Repmet: Representative-based metric learning for classification and few-shot object detection L Karlinsky, J Shtok, S Harary, E Schwartz, A Aides, R Feris, R Giryes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	303	2019
Robust large margin deep neural networks J Sokolić, R Giryes, G Sapiro, MRD Rodrigues IEEE Transactions on Signal Processing 65 (16), 4265-4280, 2017	270	2017
Deep neural networks with random Gaussian weights: A universal classification strategy? R Giryes, G Sapiro, AM Bronstein IEEE Transactions on Signal Processing 64 (13), 3444-3457, 2016	221	2016
Improving dnn robustness to adversarial attacks using jacobian regularization D Jakubovitz, R Giryes Proceedings of the European Conference on Computer Vision (ECCV), 514-529, 2018	176	2018
Deepisp: Toward learning an end-to-end image processing pipeline E Schwartz, R Giryes, AM Bronstein IEEE Transactions on Image Processing 28 (2), 912-923, 2018	175	2018
Image restoration by iterative denoising and backward projections T Tirer, R Giryes IEEE Transactions on Image Processing 28 (3), 1220-1234, 2018	163	2018
Mathematics of deep learning R Vidal, J Bruna, R Giryes, S Soatto arXiv preprint arXiv:1712.04741, 2017	148	2017
The projected GSURE for automatic parameter tuning in iterative shrinkage methods R Giryes, M Elad, YC Eldar Applied and Computational Harmonic Analysis 30 (3), 407-422, 2011	142	2011
Point2mesh: A self-prior for deformable meshes R Hanocka, G Metzer, R Giryes, D Cohen-Or arXiv preprint arXiv:2005.11084, 2020	137	2020
Poisson inverse problems by the plug-and-play scheme A Rond, R Giryes, M Elad Journal of Visual Communication and Image Representation 41, 96-108, 2016	128	2016
Greedy-like algorithms for the cosparse analysis model R Giryes, S Nam, M Elad, R Gribonval, ME Davies Linear Algebra and its Applications 441, 22-60, 2014	123	2014
Sparsity based poisson denoising with dictionary learning R Giryes, M Elad IEEE Transactions on Image Processing 23, 2013	116	2013
Laso: Label-set operations networks for multi-label few-shot learning A Alfassy, L Karlinsky, A Aides, J Shtok, S Harary, R Feris, R Giryes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	104	2019
Generalization error in deep learning D Jakubovitz, R Giryes, MRD Rodrigues Compressed Sensing and Its Applications: Third International MATHEON …, 2019	99	2019
Uniq: Uniform noise injection for non-uniform quantization of neural networks C Baskin, E Schwartz, E Zheltonozhskii, N Liss, R Giryes, AM Bronstein, ... arXiv preprint arXiv:1804.10969, 2018	98	2018
Learned convolutional sparse coding H Sreter, R Giryes 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018	95	2018
Asap: Architecture search, anneal and prune A Noy, N Nayman, T Ridnik, N Zamir, S Doveh, I Friedman, R Giryes, ... International Conference on Artificial Intelligence and Statistics, 493-503, 2020	93	2020

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