Tomer Michaeli

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Yonina EldarMath and Computer Science, WeizmannVerified email at weizmann.ac.il
Tamar Rott ShahamPostdoctoral fellow, MITVerified email at mit.edu
Elias NehmePhD. Candidate, Technion Israel Institute of TechnologyVerified email at campus.technion.ac.il
Yochai BlauGoogleVerified email at google.com
Yoav ShechtmanAssociate Professor, Technion - Israel Institute of TechnologyVerified email at bm.technion.ac.il
Lucien E. WeissAssistant Professor, Polytechnique MontréalVerified email at polymtl.ca
Tali DekelAssistant Professor, Weizmann Institute of Science; Research Scientist, GoogleVerified email at weizmann.ac.il
Michal IraniProfessor of Computer Science, Weizmann InstituteVerified email at weizmann.ac.il
Daniel FreedmanResearch Scientist, Google ResearchVerified email at google.com
Boris FerdmanPhD Technion - Israel Institute of TechnologyVerified email at campus.technion.ac.il
Rotem MulayoffPhD, Technion - Israel Institute of TechnologyVerified email at campus.technion.ac.il
Lihi Zelnik-ManorTechnion - Israel Institute of TechnologyVerified email at ee.technion.ac.il
Yuval BahatPrinceton University, University of SiegenVerified email at princeton.edu
Daniel SigalovTechnion - Israel Institute of TechnologyVerified email at tx.technion.ac.il
Michael EladProfessor of Computer Science, Technion, IsraelVerified email at cs.technion.ac.il
Ron BannerMachine Learning Researcher @ Intel & TechnionVerified email at intel.com
Idan KligvasserResearch ScientistVerified email at google.com
Roey Mechrezwww.tulip.coVerified email at tulip.co
Radu TimofteHumboldt Professor for AI and Computer Vision, University of WürzburgVerified email at uni-wuerzburg.de
Vladimir KulikovPhD student, Electrical and Computer engineering at the TechnionVerified email at campus.technion.ac.il

Tomer Michaeli

Associate Professor, Electrical and Computer Engineering, Technion; Visiting Researcher, Google

Verified email at ee.technion.ac.il - Homepage

Computer Vision Machine Learning Image Processing Signal Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
SinGAN: Learning a generative model from a single natural image TR Shaham, T Dekel, T Michaeli Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	1002	2019
The perception-distortion tradeoff Y Blau, T Michaeli Proceedings of the IEEE conference on computer vision and pattern …, 2018	845	2018
The 2018 PIRM challenge on perceptual image super-resolution Y Blau, R Mechrez, R Timofte, T Michaeli, L Zelnik-Manor Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018	619	2018
Deep-STORM: super-resolution single-molecule microscopy by deep learning E Nehme, LE Weiss, T Michaeli, Y Shechtman Optica 5 (4), 458-464, 2018	608	2018
Blind deblurring using internal patch recurrence T Michaeli, M Irani Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	461	2014
Nonparametric blind super-resolution T Michaeli, M Irani Proceedings of the IEEE International Conference on Computer Vision, 945-952, 2013	363	2013
DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning E Nehme, D Freedman, R Gordon, B Ferdman, LE Weiss, O Alalouf, ... Nature methods 17 (7), 734-740, 2020	300	2020
Rethinking lossy compression: The rate-distortion-perception tradeoff Y Blau, T Michaeli International Conference on Machine Learning, 675-685, 2019	294	2019
Beyond bandlimited sampling YC Eldar, T Michaeli IEEE signal processing magazine 26 (3), 48-68, 2009	162	2009
Multicolor localization microscopy and point-spread-function engineering by deep learning E Hershko, LE Weiss, T Michaeli, Y Shechtman Optics express 27 (5), 6158-6183, 2019	129	2019
Nonparametric canonical correlation analysis T Michaeli, W Wang, K Livescu International Conference on Machine Learning (ICML) 48, 2016	103	2016
Multi-scale weighted nuclear norm image restoration N Yair, T Michaeli Proceedings of the IEEE conference on computer vision and pattern …, 2018	102	2018
Lumiere: A Space-Time Diffusion Model for Video Generation O Bar-Tal, H Chefer, O Tov, C Herrmann, R Paiss, S Zada, A Ephrat, G Liu, ... arXiv:2401.12945, 2024	95	2024
Spatially-Adaptive Pixelwise Networks for Fast Image Translation T Rott Shaham, M Gharbi, R Zhang, E Shechtman, T Michaeli arXiv e-prints, arXiv: 2012.02992, 2020	93*	2020
Explorable super resolution Y Bahat, T Michaeli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	69	2020
Xampling at the rate of innovation T Michaeli, YC Eldar IEEE Transactions on Signal Processing 60 (3), 1121-1133, 2011	66	2011
Sinddm: A single image denoising diffusion model V Kulikov, S Yadin, M Kleiner, T Michaeli International conference on machine learning, 17920-17930, 2023	60	2023
xUnit: Learning a spatial activation function for efficient image restoration I Kligvasser, TR Shaham, T Michaeli Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	57	2018
GAN "Steerability" without optimization N Spingarn, R Banner, T Michaeli International Conference on Learning Representations, 2020	56*	2020
Performance bounds and design criteria for estimating finite rate of innovation signals Z Ben-Haim, T Michaeli, YC Eldar IEEE Transactions on Information Theory 58 (8), 4993-5015, 2012	53	2012

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