Raja Giryes

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Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionGeverifieerd e-mailadres voor technion.ac.il
Michael EladProfessor of Computer Science, Technion, IsraelGeverifieerd e-mailadres voor cs.technion.ac.il
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Engineer, Health AI Lead, Apple.Geverifieerd e-mailadres voor princeton.edu
Miguel RodriguesProfessor of Information Theory and Processing, University College LondonGeverifieerd e-mailadres voor ucl.ac.uk
Yonina EldarMath and Computer Science, WeizmannGeverifieerd e-mailadres voor weizmann.ac.il
Jure SokolicGeverifieerd e-mailadres voor metronik.si
Or LitanyTechnion, NVIDIAGeverifieerd e-mailadres voor nvidia.com
Tal RemezAI Researcher, Facebook AI Research (FAIR)Geverifieerd e-mailadres voor fb.com
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelGeverifieerd e-mailadres voor cs.technion.ac.il
Rémi GribonvalInria & ENS de LyonGeverifieerd e-mailadres voor ens-lyon.fr
mike daviesProfessor of Signal and Image Processing, University of EdinburghGeverifieerd e-mailadres voor ed.ac.uk
Deanna NeedellProfessor of Mathematics, UCLAGeverifieerd e-mailadres voor cmc.edu
Yehuda DarAssistant Professor of Computer Science, Ben-Gurion UniversityGeverifieerd e-mailadres voor bgu.ac.il
Roman VershyninProfessor of Mathematics, University of California, IrvineGeverifieerd e-mailadres voor uci.edu
Yaniv PlanUniversity of British ColumbiaGeverifieerd e-mailadres voor math.ubc.ca

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Raja Giryes

Associate Professor, Tel Aviv University

Geverifieerd e-mailadres voor tauex.tau.ac.il - Homepage

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


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Autoencoders D Bank, N Koenigstein, R Giryes Machine learning for data science handbook: data mining and knowledge …, 2023	1063	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	692	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	446	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	418	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	334	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	331	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	257	2018
Point2mesh: A self-prior for deformable meshes R Hanocka, G Metzer, R Giryes, D Cohen-Or arXiv preprint arXiv:2005.11084, 2020	245	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	244	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	217	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	180	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	158	2018
Generalization error in deep learning D Jakubovitz, R Giryes, MRD Rodrigues Compressed Sensing and Its Applications: Third International MATHEON …, 2019	156	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	147	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	140	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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