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. A Less Biased Evaluation of Out-of-distribution Sample Detectors Spotlight. in BMVC, 2019. [arXiv][Poster][Spotlight][Github][Raw Results] |
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. A Less Biased Evaluation of Out-of-distribution Sample Detectors Spotlight. in BMVC, 2019. [arXiv][Poster][Spotlight][Github][Raw Results] |
 | 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] |
Contact Info
Work Address: ICICS Building, University of British Columbia, 201-2366 Main Mall, Vancouver, B.C. V6T 1Z4 Canada.Email: CLICK@cs.ubc.ca
