Homepage | Alireza Shafaei | علیرضا شفائی

Introduction

I'm a Ph.D. student in computer science at the University of British Columbia. I do research in machine learning and its application in computer vision. I'm being supervised by Jim Little and Mark Schmidt. I did my M.Sc. at UBC under supervision of Jim Little. Prior to that, I received my B.Sc. degree from AUT. You can access my latest CV here.

Most Recent Publication

A. Shafaei, Mark Schmidt, James J. Little. Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of Outlier Detectors. in Arxiv, 2018.
[arXiv]

Most Recent Open-source Project

OD-test (PyTorch)

OD-test: A Less Biased Evaluation of Outlier Detectors.

[Github]

Full List of Publications

	A. Shafaei, Mark Schmidt, James J. Little. Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of Outlier Detectors. in Arxiv, 2018. [arXiv]
	R. Babanezhad, I. Laradji, A. Shafaei, M. Schmidt. MASAGA: A Linearly-Convergent Stochastic First-Order Method for Optimization on Manifolds. in ECML, 2018. [PDF][Github]
	A. Shafaei, J. J. Little, Mark Schmidt. Play and Learn: Using Video Games to Train Computer Vision Models. in BMVC, 2016. [arXiv][PDF][MIT Technology Review][BMVC16][Abstract][Poster]
	A. Shafaei, J. J. Little. Real-Time Human Motion Capture with Multiple Depth Cameras. in 13th Conference on Computer and Robot Vision, Victoria, Canada, 2016. (Oral Presentation) [PDF][Project Page][Dataset][CNNs]
	A. Shafaei, M.Sc. Thesis. Multiview depth-based pose estimation. in UBC Theses and Dissertations, 2015. [PDF][cIRcle]
	A. Gupta, A. Shafaei, J. J. Little and R. J. Woodham. Unlabelled 3D Motion Examples Improve Cross-View Action Recognition. in BMVC, 2014. [PDF][Poster][Abstract][Project Page]