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Yani Ioannou

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Visiting Researcher

Google

I'm currently a Visiting Researcher at Google Toronto. Previously I was a Sessional Lecturer at the University of Toronto, and a Research Scientist at Wayve

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

I am currently interested in deep learning, specifically the effect of structure in learning deep 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).

Publications

Selected Publications, see for more details.

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, and A. Criminisi

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

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, Zürich, Switzerland. BibTeX Poster

Blog

Latest Blog Posts

Teaching

Courses I've Taught Recently

CSC320: Introduction to Visual Computing

University of Toronto, Winter 2019

Talks

Invited Talks and Lectures

McGill University, Montréal, Canada

Structural Priors in Deep Neural Networks

March 12, 2018
Slides (PDF)

University of Toronto, Toronto, Canada

Structural Priors in Deep Networks

August 29, 2017
Slides

KAIST, Daejeon, South Korea

Restricted Connectivity in Deep Neural Networks

April 17, 2017
Slides

Microsoft Research, Cambridge, UK

Restricted Connectivity in Deep Neural Networks

March 21, 2017

Curriculum Vitae/Resume

PDF (US Letter)

Contact Me

Preferably contact me about careers on , and research on . Alternatively, e-mail me.

You can also find out more about me through one of the many social links below.