Raja Giryes

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Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionDirección de correo verificada de technion.ac.il
Michael EladProfessor of Computer Science, Technion, IsraelDirección de correo verificada de cs.technion.ac.il
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.Dirección de correo verificada de princeton.edu
Miguel RodriguesProfessor of Information Theory and Processing, University College LondonDirección de correo verificada de ucl.ac.uk
Yonina EldarMath and Computer Science, WeizmannDirección de correo verificada de weizmann.ac.il
Jure SokolicDirección de correo verificada de metronik.si
Or LitanyTechnion, NVIDIADirección de correo verificada de nvidia.com
Tal RemezAI Researcher, Facebook AI Research (FAIR)Dirección de correo verificada de fb.com
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelDirección de correo verificada de cs.technion.ac.il
Rémi GribonvalInria & ENS de LyonDirección de correo verificada de ens-lyon.fr
mike daviesProfessor of Signal and Image Processing, University of EdinburghDirección de correo verificada de ed.ac.uk
Deanna NeedellProfessor of Mathematics, UCLADirección de correo verificada de cmc.edu
Yehuda DarAssistant Professor of Computer Science, Ben-Gurion UniversityDirección de correo verificada de bgu.ac.il
Roman VershyninProfessor of Mathematics, University of California, IrvineDirección de correo verificada de uci.edu
Yaniv PlanUniversity of British ColumbiaDirección de correo verificada de math.ubc.ca

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Raja Giryes

Associate Professor, Tel Aviv University

Dirección de correo verificada de tauex.tau.ac.il - Página principal

Signal and Image Processing Sparsity Generative AI Visual-Language Models Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Autoencoders D Bank, N Koenigstein, R Giryes Machine learning for data science handbook: data mining and knowledge …, 2023	1304	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	784	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	466	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	446	2019
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	438	2023
Robust large margin deep neural networks J Sokolić, R Giryes, G Sapiro, MRD Rodrigues IEEE Transactions on Signal Processing 65 (16), 4265-4280, 2017	345	2017
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	288	2018
Point2mesh: A self-prior for deformable meshes R Hanocka, G Metzer, R Giryes, D Cohen-Or arXiv preprint arXiv:2005.11084, 2020	273	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	265	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	246	2023
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	241	2016
Image restoration by iterative denoising and backward projections T Tirer, R Giryes IEEE Transactions on Image Processing 28 (3), 1220-1234, 2018	232	2018
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	180	2018
Generalization error in deep learning D Jakubovitz, R Giryes, MRD Rodrigues Compressed sensing and its applications: third international MATHEOn …, 2019	172	2019
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	169	2020
Mathematics of deep learning R Vidal, J Bruna, R Giryes, S Soatto arXiv preprint arXiv:1712.04741, 2017	168	2017
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	159	2016
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	152	2019
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	147	2011
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	139	2018

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