Mohammad Norouzi

PhD student since Sep 2010
Department of Computer Science
University of Toronto
Supervisor: David Fleet
Currently, I am highlighting:
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]
So far at UofT I took
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