Omry Sendik
Cited by
Cited by
A new approach to precipitation monitoring: A critical survey of existing technologies and challenges
H Messer, O Sendik
IEEE signal processing magazine 32 (3), 110-122, 2015
Deep correlations for texture synthesis
O Sendik, D Cohen-Or
ACM Transactions on Graphics (ToG) 36 (5), 1-15, 2017
Cellular network infrastructure: The future of fog monitoring?
N David, O Sendik, H Messer, P Alpert
Bulletin of the American Meteorological Society 96 (10), 1687-1698, 2015
A 90-nm CMOS power amplifier for 802.16 e (WiMAX) applications
O Degani, F Cossoy, S Shahaf, E Cohen, V Kravtsov, O Sendik, ...
IEEE Transactions on Microwave Theory and Techniques 58 (5), 1431-1437, 2010
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
On the reconstructability of images sampled by random line projections
O Sendik, H Messer
2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 1-5, 2012
Analyzing the ability to reconstruct the moisture field using commercial microwave network data
N David, O Sendik, Y Rubin, H Messer, HO Gao, D Rostkier-Edelstein, ...
Atmospheric research 219, 213-222, 2019
Methods and apparatuses for rectifying rolling shutter effect
O Sendik, G Voronov, M Slutsky
US Patent App. 13/354,983, 2013
Unsupervised K-modal styled content generation
DCO Omry Sendik, Dani Lischinski
ACM Transactions on Graphics, SIGGRAPH 100, 2020
On the coverage and reconstructability of 2D functions sampled by arbitrary line projections with an application to rain field mapping
O Sendik, O Sendik
Universitat Tel-Aviv, 2013
What’s in a face? Metric Learning for Face Characterization
O Sendik, D Lischinski, D Cohen-Or
Computer Graphics Forum, 13, 2019
Motion estimation device and motion estimation method
O Sendik
US Patent 9,105,100, 2015
On the achievable coverage of rain field mapping using measurements from a given set of microwave links
O Sendik, H Messer
2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel …, 2014
Unsupervised multi-modal styled content generation
O Sendik, D Lischinski, D Cohen-Or
arXiv preprint arXiv:2001.03640, 2020
DeepAge: Deep Learning of face-based age estimation
O Sendik, Y Keller
Signal Processing: Image Communication 78, 368-375, 2019
Methods for determining estimated depth in an image and systems thereof
O Sendik
US Patent 9,727,967, 2017
Detection device for region of interest and method of detecting region of interest
O Sendik
US Patent App. 14/192,912, 2014
Motion vector processing device for clustering motion vectors and method of processing the same
O Sendik
US Patent App. 14/202,925, 2014
Rectifying a sequence of stereo images
A Tzabari, D Sabo, R Sfaradi, O Sendik
US Patent 10,701,336, 2020
Detecting periodic patterns and aperture problems for motion estimation
I Ram, O Sendik
US Patent 10,395,378, 2019
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