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Yuval Bahat

I am currently a PhD student at the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science under the supervision of Prof. Michal Irani.
I'm interested in computer vision and audio processing problems, and also in using machine learning tools to solve them. My PhD research constitutes both low-level vision (Image dehazing and image deblurring) and high-level vision (Image classification) problems.

Previous Education: I did my B.Sc. in Electrical Engineering at the Technion, where I also did my M.Sc. under the supervision of Prof. Yoav Y. Schechner.
For further information, please see my CV.



Email: yuval dot bahat at weizmann dot ac dot il


Publications

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Confidence from Invariance to Image Transformations

Yuval Bahat and Gregory Shakhnarovich

Arxiv 2018

Abstract Paper Code

Non-Uniform Blind Deblurring by Reblurring

Yuval Bahat*, Netalee Efrat* and Michal Irani

ICCV 2017, *Equal contributors

Abstract Paper Project page Slides


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Blind Dehazing Using Internal Patch Recurrence

Yuval Bahat and Michal Irani
ICCP 2016

Abstract Paper More Results Slides Code (airlight part)
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Self-Content-Based Audio Inpainting

Yuval Bahat, Yoav Y. Schechner and Michael Elad
Signal Processing 2015

Abstract Paper Project page Slides