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UCSD Computer Vision

Zak Murez, PhD Student

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Biography and Resume  application/pdf icon

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.


Murez Z., Kolour S., Kriegman D., Ramamoorthi R., I K., "Image to Image Translation for Domain Adaptation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2018. [www] [BibTex]
Li Z., Murez Z., Kriegman D., Ramamoorthi R., Chandraker M., "Learning to See through Turbulent Water", IEEE Winter Conf. on Applications of Computer Vision, 2018. [www] [BibTex]
Murez Z., Treibitz T., Ramamoorthi R., Kriegman D., "Photometric stereo in a scattering medium", IEEE transactions on pattern analysis and machine intelligence, vol. 39, no. 9, pp. 1880--1891, 2017. [www] [BibTex]
Tian J., Murez Z., Cui T., Zhang Z., Kriegman D., Ramamoorthi R., "Depth and image restoration from light field in a scattering medium", The IEEE International Conference on Computer Vision (ICCV), 2017. [www] [BibTex]
Murez Z., Treibitz T., Ramamoorthi R., Kriegman D., "Photometric Stereo in a Scattering Medium", International Conference on Computer Vision (ICCV), 2015. [www] [BibTex]
Veesler D., Campbell M.G., Cheng A., Fu C., Murez Z., Johnson J.E., Potter C.S., Carragher B., "Maximizing the potential of electron cryomicroscopy data collected using direct detectors", Journal of structural biology, vol. 184, no. 2, pp. 193--202, 2013. [www] [BibTex]
Treibitz T., Murez Z., Mitchell G.B., Kriegman D., "Shape From Fluorescence", European Conference on Computer Vision (ECCV) , 2012. [BibTex]