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Ran Vitek
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2020 – today
- 2022
- [c4]Tom Koren, Lior Talker, Michael Dinerstein, Ran Vitek:
Consistent Semantic Attacks on Optical Flow. ACCV (7) 2022: 501-517 - [c3]Amir Ben Dror, Niv Zehngut, Avraham Raviv, Evgeny Artyomov, Ran Vitek:
Layer Folding: Neural Network Depth Reduction using Activation Linearization. BMVC 2022: 612 - 2021
- [c2]Alexandra Dana, Maor Shutman, Yotam Perlitz, Ran Vitek, Tomer Peleg, Roy J. Jevnisek:
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations. BMVC 2021: 257 - [i2]Amir Ben Dror, Niv Zehngut, Avraham Raviv, Evgeny Artyomov, Ran Vitek, Roy J. Jevnisek:
Layer Folding: Neural Network Depth Reduction using Activation Linearization. CoRR abs/2106.09309 (2021) - [i1]Alexandra Dana, Maor Shutman, Yotam Perlitz, Ran Vitek, Tomer Peleg, Roy J. Jevnisek:
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations. CoRR abs/2107.10050 (2021)
2010 – 2019
- 2015
- [j1]Ofir Lindenbaum, Arie Yeredor, Ran Vitek, Moshe Mishali:
Blind Separation of Orthogonal Mixtures of Spatially-Sparse Sources with Unknown Sparsity Levels and with Temporal Blocks. J. Signal Process. Syst. 79(2): 167-178 (2015) - 2013
- [c1]Ofir Lindenbaum, Arie Yeredor, Ran Vitek, Moshe Mishali:
Blind separation of spatially-block-sparse sources from orthogonal mixtures. MLSP 2013: 1-6
Coauthor Index
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