Raja Giryes

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	Toate	Din 2019
Referințe bibliografice	9907	9002
h-index	50	48
i10-index	105	94

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Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionAdresă de e-mail confirmată pe technion.ac.il
Michael EladProfessor of Computer Science, Technion, IsraelAdresă de e-mail confirmată pe cs.technion.ac.il
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.Adresă de e-mail confirmată pe duke.edu
Miguel RodriguesProfessor of Information Theory and Processing, University College LondonAdresă de e-mail confirmată pe ucl.ac.uk
Yonina EldarMath and Computer Science, WeizmannAdresă de e-mail confirmată pe weizmann.ac.il
Jure SokolicAdresă de e-mail confirmată pe metronik.si
Or LitanyTechnion, NVIDIAAdresă de e-mail confirmată pe nvidia.com
Tal RemezAI Researcher, Facebook AI Research (FAIR)Adresă de e-mail confirmată pe fb.com
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelAdresă de e-mail confirmată pe cs.technion.ac.il
Rémi GribonvalInria & ENS de LyonAdresă de e-mail confirmată pe ens-lyon.fr
mike daviesProfessor of Signal and Image Processing, University of EdinburghAdresă de e-mail confirmată pe ed.ac.uk
Deanna NeedellProfessor of Mathematics, UCLAAdresă de e-mail confirmată pe cmc.edu
Yehuda DarAssistant Professor of Computer Science, Ben-Gurion UniversityAdresă de e-mail confirmată pe bgu.ac.il
Roman VershyninProfessor of Mathematics, University of California, IrvineAdresă de e-mail confirmată pe uci.edu
Yaniv PlanUniversity of British ColumbiaAdresă de e-mail confirmată pe math.ubc.ca

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Raja Giryes

Associate Professor, Tel Aviv University

Adresă de e-mail confirmată pe tauex.tau.ac.il - Pagina de pornire

Signal and Image Processing Sparsity Big Data Compressed Sensing Deep Learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Autoencoders D Bank, N Koenigstein, R Giryes Machine learning for data science handbook: data mining and knowledge …, 2023	1039	2023
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	686	2019
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	441	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	416	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	329	2017
Latent-nerf for shape-guided generation of 3d shapes and textures G Metzer, E Richardson, O Patashnik, R Giryes, D Cohen-Or Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	323	2023
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	251	2018
Point2mesh: A self-prior for deformable meshes R Hanocka, G Metzer, R Giryes, D Cohen-Or arXiv preprint arXiv:2005.11084, 2020	243	2020
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	242	2018
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	239	2016
Image restoration by iterative denoising and backward projections T Tirer, R Giryes IEEE Transactions on Image Processing 28 (3), 1220-1234, 2018	216	2018
Texture: Text-guided texturing of 3d shapes E Richardson, G Metzer, Y Alaluf, R Giryes, D Cohen-Or ACM SIGGRAPH 2023 conference proceedings, 1-11, 2023	175	2023
Mathematics of deep learning R Vidal, J Bruna, R Giryes, S Soatto arXiv preprint arXiv:1712.04741, 2017	165	2017
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	156	2018
Generalization error in deep learning D Jakubovitz, R Giryes, MRD Rodrigues Compressed Sensing and Its Applications: Third International MATHEON …, 2019	155	2019
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	154	2016
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	148	2011
Detecting adversarial samples using influence functions and nearest neighbors G Cohen, G Sapiro, R Giryes Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	146	2020
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	138	2019
Depth estimation from a single image using deep learned phase coded mask H Haim, S Elmalem, R Giryes, AM Bronstein, E Marom IEEE Transactions on Computational Imaging 4 (3), 298-310, 2018	133	2018

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