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Yani Ioannou

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I'm an Assistant Professor at the University of Calgary, in the Department of Electrical and Software Engineering of the Schulich School of Engineering. I was previously a Postdoctoral Research Fellow at the Vector Institute and University of Guelph, working with Prof. Graham Taylor, and Prof. Mihai Nica, and before that a Visiting Researcher at Google Brain Toronto/Google AR Core..

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 I collaborated with researchers at Microsoft Research Cambridge (UK) extensively.

I am currently interested in efficient deep learning, specifically sparse 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).

Selected Publications

For a full publications list, see Google Scholar.

Paper coverpage

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

*U. Evci, *Y. Ioannou, C. Keskin, Y. Dauphin
* Equal Contribution

36th AAAI Conference on Artificial Intelligence (AAAI) 2022, Vancouver, BC, Canada

Paper coverpage

Rapid Classification of TESS Planet Candidates with Convolutional Neural Networks

H. Osborn, M. Ansdell, Y. Ioannou, M. Sasdelli, et al.

Astronomy & Astrophysics
Volume 633, Number A53
January, 2020

Paper coverpage

Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning

M. Ansdell , Y. Ioannou , H. P. Osborn , M. Sasdelli, et al.

The Astrophysical Journal Letters
Volume 869, Number 1
December 5, 2018

PhD Thesis Coverpage

Structural Priors in Deep Neural Networks

Y. Ioannou

Ph.D. Thesis, Department of Engineering, University of Cambridge, Sept. 2017.
PDF (Print) BibTeX LaTeX Source

Paper coverpage

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Y. Ioannou, D. Robertson, R. Cipolla, A. Criminisi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, Honolulu, Hawaii.
BibTeX Poster

Paper coverpage

Training CNNs with Low-Rank Filters for Efficient Image Classification

Y. Ioannou, D. Robertson, J. Shotton, R. Cipolla, A. Criminisi

International Conference on Learning Representations (ICLR) 2016, San Juan, Puerto Rico.
BibTeX Poster Models

Paper coverpage

Decision Forests, Convolutional Networks and the Models in-Between

Y. Ioannou, D. Robertson, D. Zikic, P. Kontschieder, J. Shotton, M. Brown, A. Criminisi

Microsoft Research Tech Report
MSR-TR-2015-58, April, 2015.

Paper coverpage

Emergency detection and response system and method

A. Mihailidis, Y. Ioannou, J. Boger, J. Gastle

United States Patent Application, 2013/0100268 A1, Apr. 25, 2013

Paper coverpage

Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds

Y. Ioannou, B. Taati, R. Harrap, M. Greenspan

3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT) 2012, Z├╝rich, Switzerland. BibTeX Poster

Master's Thesis Coverpage

Automatic Urban Modelling using Mobile Urban LIDAR Data

Y. Ioannou

Thesis (M.Sc. Computing), Queen's University, Canada, 2010.


Courses I'm Teaching/I've Taught Recently


Recent Invited Talks and Lectures

Vector Institute, Toronto, Canada

Gradient Flow in Sparse Neural Networks

February 24, 2021

Curriculum Vitae/Resume

See LinkedIn for more information.

Contact Me

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