I'm currently a Research Scientist at Google DeepMind. My research is focused on getting computers to learn accurate, useful and generative models of images.
In 2014 I was a post-doctoral researcher at Microsoft Research Cambridge, and a member of the Machine Learning and Perception group led by Christopher Bishop.
I did my PhD at the University of Edinburgh, where I was a Carnegie scholar. My supervisors were Christopher Williams, Bob Fisher and Amos Storkey.
During my PhD I was also at Oxford University working with Andrew Zisserman, and at Microsoft Research working with John Winn and Nicolas Heess.
Since 2012 I have helped organise the PASCAL Visual Object Classes challenge. In 2014 I also helped run the MSc industry project programme at University College London.
Curriculum Vitae
Last updated 28 Jan 2015: Short CV, Long CV.
Publications
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Consensus Message Passing for Layered Graphical Models International Conference on Artificial Intelligence and Statistics (AISTATS), San Diego, California, USA (to appear). -
Just-In-Time Learning for Fast and Flexible Inference Neural Information Processing Systems (NIPS), Montreal, Quebec, Canada. -
The Pascal Visual Object Classes Challenge — a Retrospective International Journal of Computer Vision (IJCV), Springer. -
Assessing the Significance of Performance Differences on the PASCAL VOC Challenges via Bootstrapping Technical note. -
The Shape Boltzmann Machine: a Strong Model of Object Shape International Journal of Computer Vision (IJCV), Springer. CVPR special issue. -
A Generative Model for Parts-based Object Segmentation Neural Information Processing Systems (NIPS), Lake Tahoe, California, USA. -
The Shape Boltzmann Machine: a Strong Model of Object Shape Computer Vision and Pattern Recognition (CVPR), Rhode Island, USA. Oral presentation. -
Factored Shapes and Appearances for Parts-based Object Understanding British Machine Vision Conference (BMVC), Dundee, UK. Oral presentation.
Theses
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Generative Probabilistic Models for Object Segmentation The University of Edinburgh, PhD thesis. -
Evolving Robust Control Strategies for Simulated Animats The University of Edinburgh, BEng dissertation.
Selected talks
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Artificial Intelligence and Computer Aided Design - Grimshaw Architects, London, UK (January 2015)
- Colloquium Seminar Series, University College London, London, UK (January 2015)
- Sharif University of Technology, Kish, Iran (December 2014)
- Faculty of Fine Arts, University of Tehran, Tehran, Iran (December 2014)
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Extensions to Message Passing Inference - Sharif University of Technology, Kish, Iran (December 2014)
- Microsoft Research, Cambridge, UK (September 2014)
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Boltzmann Machines and their Extensions - Heriot-Watt University, Edinburgh, UK (March 2013)
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Generative Models of Images of Objects - Sharif University of Technology, Tehran, Iran (January 2013)
- Redwood Institute at the University of California at Berkeley, USA (December 2012)
- Bosch Research and Technology North America, Palo Alto, USA (December 2012)
- Toyota Technological Institute, University of Chicago, Chicago, USA (June 2012)
- New York University, New York, USA (June 2012)
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The Shape Boltzmann Machine: a Strong Model of Object Shape - Computer Vision and Pattern Recognition (CVPR), Providence, USA (June 2012)
- Rank Prize Symposium on Machine Learning and Vision, Windermere, UK (March 2012)
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Factored Shapes and Appearances for Parts-based Object Understanding - British Machine Vision Conference, Dundee, UK (August 2011)
- ACM Seminar, University of Tehran, Tehran, Iran (September 2011)
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Hierarchical Probabilistic Models for Object Segmentation - Canadian Institute for Advanced Research Summer School, Toronto, Canada (August 2010)
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High Dynamic Range Lighting on the Xbox 360 - TechMeetup, Edinburgh, UK (April 2010)
Other things
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The Zeroth Rule of Presentations -
14 Oct 2012
- Guide
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Patterns for Research in Machine Learning -
18 Jul 2012
- Guide
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Thoughts on the Role of Supervision in Computer Vision -
18 May 2011
- Slides
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A Visual Summary of the PASCAL 2009 Dataset -
01 Jan 2010
- Summary
