Motion blur removal in nonlinear sensors. - Tomer Faktor; Tomer Michaeli; Yonina C. Eldar (Computational Imaging, 2010)

Nonlinear and Nonideal Sampling Revisited. - Tomer Faktor; Tomer Michaeli; Yonina C. Eldar (IEEE Signal Process. Lett., 2010)

Denoising of image patches via sparse representations with learned statistical dependencies. - Tomer Faktor; Yonina C. Eldar; Michael Elad (ICASSP, 2011)

K-SVD dictionary-learning for the analysis sparse model. - Ron Rubinstein; Tomer Faktor; Michael Elad (ICASSP, 2012)

Performance Guarantees of the Thresholding Algorithm for the Co-Sparse Analysis Model - Tomer Peleg; Michael Elad (CoRR, 2012)

Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery. - Tomer Peleg; Yonina C. Eldar; Michael Elad (IEEE Trans. Signal Process., 2012)

Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries. - Tomer Peleg; Rémi Gribonval; Mike E. Davies 001 (EUSIPCO, 2013)

Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model. - Tomer Peleg; Michael Elad (IEEE Trans. Inf. Theory, 2013)

Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model. - Ron Rubinstein; Tomer Peleg; Michael Elad (IEEE Trans. Signal Process., 2013)

A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution. - Tomer Peleg; Michael Elad (IEEE Trans. Image Process., 2014)

Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. - Anthony Bourrier; Mike E. Davies 001; Tomer Peleg; Patrick Pérez; Rémi Gribonval (IEEE Trans. Inf. Theory, 2014)

IM-Net for High Resolution Video Frame Interpolation. - Tomer Peleg; Pablo Szekely; Doron Sabo; Omry Sendik (CVPR, 2019)

You Better Look Twice: a new perspective for designing accurate detectors with reduced computations. - Alexandra Dana; Maor Shutman; Yotam Perlitz; Ran Vitek; Tomer Peleg; Roy J. Jevnisek (BMVC, 2021)

One scalar is all you need - absolute depth estimation using monocular self-supervision. - Alexandra Dana; Nadav Carmel; Amit Shomer; Ofer Manela; Tomer Peleg (CoRR, 2023)

Make the Most Out of Your Net: Alternating Between Canonical and Hard Datasets for Improved Image Demosaicing. - Yuval Becker; Raz Z. Nossek; Tomer Peleg (CoRR, 2023)

Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains. - Alexandra Dana; Nadav Carmel; Amit Shomer; Ofer Manela; Tomer Peleg (CVPR Workshops, 2024)