Raja Giryes

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78 artikel

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Alex BronsteinDan Broida Academic Chair, Schmidt Chair of AI, CS@TechnionEmail yang diverifikasi di technion.ac.il
Michael EladProfessor of Computer Science, Technion, IsraelEmail yang diverifikasi di cs.technion.ac.il
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.Email yang diverifikasi di princeton.edu
Miguel RodriguesProfessor of Information Theory and Processing, University College LondonEmail yang diverifikasi di ucl.ac.uk
Yonina EldarMath and Computer Science, WeizmannEmail yang diverifikasi di weizmann.ac.il
Jure SokolicEmail yang diverifikasi di metronik.si
Or LitanyTechnion, NVIDIAEmail yang diverifikasi di nvidia.com
Tal RemezAI Researcher, Facebook AI Research (FAIR)Email yang diverifikasi di fb.com
Alfred BrucksteinOllendorff Chair in Science, Technion, IIT, Haifa, IsraelEmail yang diverifikasi di cs.technion.ac.il
Rémi GribonvalInria & ENS de LyonEmail yang diverifikasi di ens-lyon.fr
mike daviesProfessor of Signal and Image Processing, University of EdinburghEmail yang diverifikasi di ed.ac.uk
Deanna NeedellProfessor of Mathematics, UCLAEmail yang diverifikasi di cmc.edu
Yehuda DarAssistant Professor of Computer Science, Ben-Gurion UniversityEmail yang diverifikasi di bgu.ac.il
Roman VershyninProfessor of Mathematics, University of California, IrvineEmail yang diverifikasi di uci.edu
Yaniv PlanUniversity of British ColumbiaEmail yang diverifikasi di math.ubc.ca

Ikuti

Raja Giryes

Associate Professor, Tel Aviv University

Email yang diverifikasi di tauex.tau.ac.il - Beranda

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


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Autoencoders D Bank, N Koenigstein, R Giryes Machine learning for data science handbook: data mining and knowledge …, 2023	1261	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	775	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	463	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	439	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	425	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	284	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	263	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	244	2016
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	243	2023
Image restoration by iterative denoising and backward projections T Tirer, R Giryes IEEE Transactions on Image Processing 28 (3), 1220-1234, 2018	227	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	178	2018
Mathematics of deep learning R Vidal, J Bruna, R Giryes, S Soatto arXiv preprint arXiv:1712.04741, 2017	172	2017
Generalization error in deep learning D Jakubovitz, R Giryes, MRD Rodrigues Compressed Sensing and Its Applications: Third International MATHEON …, 2019	170	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	165	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	157	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	151	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	148	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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