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Yuval Bahat

I am currently a postdoctoral researcher working with Prof. Tomer Michaeli at the Technion - Israel Institute of Technology. I recently graduated from my PhD, under the supervision of Prof. Michal Irani from the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science. 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.
Research interests:
I'm interested in computer vision and audio processing problems, and also in using machine learning tools to solve them. My PhD research included both low-level vision (Image dehazing and image deblurring) and high-level vision (Image classification) problems.

For further information, please see my CV.

Email: yuval dot bahat at gmail dot com


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Natural and Adversarial Error Detection

using Invariance to Image Transformations

Yuval Bahat, Michal Irani and Gregory Shakhnarovich

Arxiv 2019

Abstract Paper
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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