Raja Giryes

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Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionPatvirtintas el. paštas technion.ac.il
Michael EladProfessor of Computer Science, Technion, IsraelPatvirtintas el. paštas cs.technion.ac.il
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.Patvirtintas el. paštas princeton.edu
Miguel RodriguesProfessor of Information Theory and Processing, University College LondonPatvirtintas el. paštas ucl.ac.uk
Yonina EldarMath and Computer Science, WeizmannPatvirtintas el. paštas weizmann.ac.il
Jure SokolicPatvirtintas el. paštas metronik.si
Or LitanyTechnion, NVIDIAPatvirtintas el. paštas nvidia.com
Tal RemezAI Researcher, Facebook AI Research (FAIR)Patvirtintas el. paštas fb.com
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelPatvirtintas el. paštas cs.technion.ac.il
Rémi GribonvalInria & ENS de LyonPatvirtintas el. paštas ens-lyon.fr
mike daviesProfessor of Signal and Image Processing, University of EdinburghPatvirtintas el. paštas ed.ac.uk
Deanna NeedellProfessor of Mathematics, UCLAPatvirtintas el. paštas cmc.edu
Yehuda DarAssistant Professor of Computer Science, Ben-Gurion UniversityPatvirtintas el. paštas bgu.ac.il
Roman VershyninProfessor of Mathematics, University of California, IrvinePatvirtintas el. paštas uci.edu
Yaniv PlanUniversity of British ColumbiaPatvirtintas el. paštas math.ubc.ca

Stebėti

Raja Giryes

Associate Professor, Tel Aviv University

Patvirtintas el. paštas tauex.tau.ac.il - Pagrindinis puslapis

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


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Autoencoders D Bank, N Koenigstein, R Giryes Machine learning for data science handbook: data mining and knowledge …, 2023	1273	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	776	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	464	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	440	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	435	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	344	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	286	2018
Point2mesh: A self-prior for deformable meshes R Hanocka, G Metzer, R Giryes, D Cohen-Or arXiv preprint arXiv:2005.11084, 2020	271	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	244	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	231	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	179	2018
Generalization error in deep learning D Jakubovitz, R Giryes, MRD Rodrigues Compressed sensing and its applications: third international MATHEOn …, 2019	171	2019
Mathematics of deep learning R Vidal, J Bruna, R Giryes, S Soatto arXiv preprint arXiv:1712.04741, 2017	168	2017
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	166	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	158	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	146	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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