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Tomer Michaeli
Tomer Michaeli
Associate Professor of Electrical and Computer Engineering, Technion
Verified email at ee.technion.ac.il - Homepage
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
8992019
The perception-distortion tradeoff
Y Blau, T Michaeli
Proceedings of the IEEE conference on computer vision and pattern …, 2018
7332018
Deep-STORM: super-resolution single-molecule microscopy by deep learning
E Nehme, LE Weiss, T Michaeli, Y Shechtman
Optica 5 (4), 458-464, 2018
5642018
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
5602018
Blind deblurring using internal patch recurrence
T Michaeli, M Irani
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
4372014
Nonparametric blind super-resolution
T Michaeli, M Irani
Proceedings of the IEEE International Conference on Computer Vision, 945-952, 2013
3402013
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
2642020
Rethinking lossy compression: The rate-distortion-perception tradeoff
Y Blau, T Michaeli
International Conference on Machine Learning, 675-685, 2019
2282019
Beyond bandlimited sampling
YC Eldar, T Michaeli
IEEE signal processing magazine 26 (3), 48-68, 2009
1642009
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
1192019
Multi-scale weighted nuclear norm image restoration
N Yair, T Michaeli
Proceedings of the IEEE conference on computer vision and pattern …, 2018
982018
Nonparametric canonical correlation analysis
T Michaeli, W Wang, K Livescu
International Conference on Machine Learning (ICML) 48, 2016
952016
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
76*2020
Xampling at the rate of innovation
T Michaeli, YC Eldar
IEEE Transactions on Signal Processing 60 (3), 1121-1133, 2011
652011
Explorable super resolution
Y Bahat, T Michaeli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
592020
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
532012
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
522018
GAN "Steerability" without optimization
N Spingarn, R Banner, T Michaeli
International Conference on Learning Representations, 2020
51*2020
The implicit bias of minima stability: A view from function space
R Mulayoff, T Michaeli, D Soudry
Advances in Neural Information Processing Systems 34, 17749-17761, 2021
432021
Revealing and modifying non-local variations in a single image
T Dekel, T Michaeli, M Irani, WT Freeman
ACM Transactions on Graphics (ToG) 34 (6), 1-11, 2015
402015
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