Mohammad Norouzi

PhD student since Sep 2010
Department of Computer Science
University of Toronto
Supervisor: David Fleet

Currently, I am highlighting:

Multi-Index Hashing: A data structure for fast exact nearest neighbor search in Hamming space.
Minimal Loss Hashing: A method for learning binary similarity-preserving hash functions.

Research:

My research lies at the intersection of computer vision and machine learning. Currently, the focus of my research is on designing scalable and efficient algorithms for processing, indexing, and searching digital media, to facilitate the use of web-scale datasets in computer vision.

Curriculum Vitae

Publications

Cartesian k-means,
Mohammad Norouzi, David Fleet,
(To appear) IEEE Computer Vision and Pattern Recognition (CVPR), 2013. [pdf]

Hamming Distance Metric Learning,
Mohammad Norouzi, David Fleet, Ruslan Salakhutdinov,
Neural Information Processing Systems (NIPS), 2012. [pdf] [supplement] [poster]

Fast Search in Hamming Space with Multi-Index Hashing,
Mohammad Norouzi, Ali Punjani, David Fleet,
IEEE Computer Vision and Pattern Recognition (CVPR), 2012. [pdf] [code] [poster]

Minimal Loss Hashing for Compact Binary Codes,
Mohammad Norouzi, David Fleet,
International Conference in Machine Learning (ICML), 2011. [pdf] [code] [slides:ppt]

Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning,
Mohammad Norouzi, Mani Ranjbar, Greg Mori,
IEEE Computer Vision and Pattern Recognition (CVPR), 2009. [pdf]
(Extended version) Master's thesis at Simon Fraser University, 2009. [pdf][slides:ppt]

Honors

Ontario Graduate Scholarship, 2012-13
SFU Graduate Fellowship, 2009
Silver medal (5th place) in Central European Olympiad in Informatics (CEOI) 2003, Munster, Germany
I was a member of Iranian team in International Olympiad in Informatics (IOI) 2003, but our team could not participate!
Gold and silver medal in Iranian National Olympiad in Informatics, 2003 and 2002

So far at UofT I took

Bayesian Methods for Machine Learning (A+)
Advanced Machine Learning (A+)
Foundations of Computer Vision (A+)
Convex Optimization (A)

At SFU I took the following graduate courses

Machine Learning (A+)
Special Topics in Computer Vision (A+)
Algorithms (A+)
Databases and Data Mining (A+)
Natural Language Processing (A)
Special Topics in Autonomous Robots (A-)
Also audited Bayesian Statistics from stats and Syntax from linguistics