Zak Murez, PhD StudentMore info at: http://zak.murez.com/Biography and Resume  I am currently a Ph.D. student at the University of California, San Diego (UCSD) in Computer Science and Engineering studying computer vision. I am advised by Profs David Kriegman and Ravi Ramamoorthi. My recent work involves using deep learning for problems typically solved using physics based vision. Prior to that I was working on extending photometric stereo to situations where the standard assumptions don't apply. I received my Bachelor of Science degree in Intensive Mathematics and Computer Science from Yale University in 2011. I also took many upper division physics, chemistry, and biology courses. |
Publications
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2018
"Image to Image Translation for Domain Adaptation",
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2018. [www]
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"Learning to See through Turbulent Water",
IEEE Winter Conf. on Applications of Computer Vision, 2018. [www]
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2017
"Photometric stereo in a scattering medium",
IEEE transactions on pattern analysis and machine intelligence, vol. 39, no. 9, pp. 1880--1891, 2017. [www]
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"Depth and image restoration from light field in a scattering medium",
The IEEE International Conference on Computer Vision (ICCV), 2017. [www]
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2015
"Photometric Stereo in a Scattering Medium",
International Conference on Computer Vision (ICCV), 2015. [www]
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2013
"Maximizing the potential of electron cryomicroscopy data collected using direct detectors",
Journal of structural biology, vol. 184, no. 2, pp. 193--202, 2013. [www]
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2012
"Shape From Fluorescence",
European Conference on Computer Vision (ECCV) , 2012.
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