| Analysis K-SVD: A dictionary-learning algorithm for the analysis sparse model R Rubinstein, T Peleg, M Elad IEEE Transactions on Signal Processing 61 (3), 661-677, 2012 | 558 | 2012 |
| A statistical prediction model based on sparse representations for single image super-resolution T Peleg, M Elad IEEE transactions on image processing 23 (6), 2569-2582, 2014 | 454 | 2014 |
| Exploiting statistical dependencies in sparse representations for signal recovery T Peleg, YC Eldar, M Elad IEEE Transactions on Signal Processing 60 (5), 2286-2303, 2012 | 144 | 2012 |
| K-SVD dictionary learning for the analysis sparse model R Rubinstein, T Faktor, M Elad ICASSP, 5405-5408, 2012 | 102 | 2012 |
| Im-net for high resolution video frame interpolation T Peleg, P Szekely, D Sabo, O Sendik Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 86 | 2019 |
| Fundamental performance limits for ideal decoders in high-dimensional linear inverse problems A Bourrier, ME Davies, T Peleg, P Pérez, R Gribonval IEEE Transactions on Information Theory 60 (12), 7928-7946, 2014 | 68 | 2014 |
| Performance guarantees of the thresholding algorithm for the cosparse analysis model T Peleg, M Elad IEEE Transactions on Information Theory 59 (3), 1832-1845, 2012 | 46 | 2012 |
| Denoising of image patches via sparse representations with learned statistical dependencies T Faktor, YC Eldar, M Elad Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International …, 2011 | 13 | 2011 |
| Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries T Peleg, R Gribonval, ME Davies 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 9 | 2013 |
| Efficient CNN-based solution for video frame interpolation M Dinerstein, T Peleg, D Sabo, P Szekely US Patent 10,896,356, 2021 | 7 | 2021 |
| nonlinear and nonideal sampling revisited T Faktor, T Michael, YC Eldar Signal Processing Letters, 2010 | 5 | 2010 |
| Region of interest selection for object detection R Vitek, A Dana, M Shutman, M Shoef, Y Perlitz, T Peleg, N Stein, ... US Patent 11,461,992, 2022 | 3 | 2022 |
| One scalar is all you need--absolute depth estimation using monocular self-supervision A Dana, N Carmel, A Shomer, O Manela, T Peleg arXiv preprint arXiv:2303.07662, 2023 | 1 | 2023 |
| You Better Look Twice: a new perspective for designing accurate detectors with reduced computations A Dana, M Shutman, Y Perlitz, R Vitek, T Peleg, RJ Jevnisek The 32nd British Machine Vision Conference, 2021 | 1 | 2021 |
| Make the Most Out of Your Net: Alternating Between Canonical and Hard Datasets for Improved Image Demosaicing Y Becker, RZ Nossek, T Peleg arXiv preprint arXiv:2303.15792, 2023 | | 2023 |
| Method and system for matching stereo images T Peleg, O Sendik US Patent App. 15/600,127, 2018 | | 2018 |
| Generalized Null Space and Restricted Isometry Properties T Peleg, R Gribonval, ME Davies Signal Processing with Adaptive Sparse Structured Representations 2013 (2013), 2013 | | 2013 |
Michael EladProfessor of Computer Science, Technion, IsraelVerified email at cs.technion.ac.il
