Yani's portrait photo

Yani Ioannou

Machine Intelligence Lab

Department of Engineering

University of Cambridge

I'm a Microsoft Research Ph.D. Scholar in the Department of Engineering at the University of Cambridge, and a graduate member of Jesus College.

I'm supervised by Professor Roberto Cipolla, head of the Computer Vision and Robotics group in the Machine Intelligence Lab, and Dr. Antonio Criminisi, a principal researcher at Microsoft Research.

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).


Latest Blog Posts


Selected publications, see for more details.

PhD Thesis Coverpage

Structural Priors in Deep Neural Networks

Y. Ioannou

Ph.D. Thesis (Draft), Department of Engineering, University of Cambridge, Sept. 2017.

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, 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, Zürich, Switzerland. BibTeX Poster


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

KAIST, Daejeon, South Korea

Restricted Connectivity in Deep Neural Networks

April 17, 2017

Microsoft Research, Cambridge, UK

Restricted Connectivity in Deep Neural Networks

March 21, 2017

Curriculum Vitae/Résumé

View/PDF (US Letter)/PDF (ISO A4)

Contact Me

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