Structural Priors in Deep Neural Networks
Y. Ioannou
Ph.D. Thesis, Department of Engineering, University of Cambridge, Sept. 2017.
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I'm currently a Visiting Researcher at Google Toronto. Previously I was a Sessional Lecturer at the University of Toronto, and a Research Scientist at Wayve
I completed my PhD at the University of Cambridge in Oct. 2018, where I was supervised by Professor Roberto Cipolla, head of the Computer Vision and Robotics group in the Machine Intelligence Lab, and Dr. Antonio Criminisi. My PhD was supported by a Microsoft Research Ph.D. Scholarship and collaborated with researchers at Microsoft Research Cambridge (UK) extensively.
I am currently interested in deep learning, specifically the effect of structure in learning deep neural networks, and their application to problems in computer vision. I have in the past worked on 3D computer vision, towards methods for processing and recognizing objects in large point clouds.
Outside of research, I've worked on open source projects such as the Linux kernel and the Point Cloud Library (PCL).
Y. Ioannou
Ph.D. Thesis, Department of Engineering, University of Cambridge, Sept. 2017.
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Y. Ioannou, D. Robertson, D. Zikic, P. Kontschieder, J. Shotton, M. Brown, and A. Criminisi
Microsoft Research Tech Report
MSR-TR-2015-58.
April, 2015.
BibTeX
A. Mihailidis, Y. Ioannou, J. Boger, J. Gastle
United States Patent Application, 2013/0100268 A1, Apr. 25, 2013
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Structural Priors in Deep Neural Networks
Structural Priors in Deep Networks
August 29, 2017
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April 17, 2017
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Restricted Connectivity in Deep Neural Networks
March 21, 2017