2015 -

ANU Computer Science PhD student

Robotic Vision (with emphasis on Deep Learning and combining Vision and Language). Part of the ACRV, supervised by Stephen Gould.
2014 - 2015

Sabre Autonomous Solutions: Engineer

Software for an autonomous grit-blasting robot.
2013 - 2015

FrameFish: Flounder

Virtual try-on software for glasses and sunglasses.
2009 - 2012

University of NSW

Bachelor of Engineering (Computer)
2005 - 2009

Credit Suisse: Equities Analyst

Providing recommendations and research to institutional investors.
2000 - 2004

University of Sydney

Bachelor of Commerce (Finance & Economics)

News

NEW! (July 2016) We have released a new image caption evaluation metric (SPICE) that improves on CIDEr and METEOR. The paper will appear at ECCV 2016.

Publications

SPICE: Semantic Propositional Image Caption Evaluation

Peter Anderson, Basura Fernando, Mark Johnson and Stephen Gould

In Proceedings of the European Conference on Computer Vision (ECCV), 2016.

Project PDF Code

Discriminative Hierarchical Rank Pooling for Activity Recognition

Basura Fernando, Peter Anderson, Marcus Hutter and Stephen Gould

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

PDF Code

An ICP Inspired Inverse Sensor Model with Unknown Data Association

Peter Anderson, Youssef Hunter and Bernhard Hengst

In IEEE International Conference on Robotics and Automation (ICRA), 2013.

PDF

Fast Monocular Visual Compass for a Computationally Limited Robot

Peter Anderson and Bernhard Hengst

In Proceedings of the RoboCup International Symposium (RoboCup), 2013.

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Robocup Standard Platform League - rUNSWift 2012 Innovations

Sean Harris, Peter Anderson, Belinda Teh, Youssef Hunter, Roger Liu, Bernhard Hengst, Ritwik Roy, Sam Li, Carl Chatfield

In Australasian Conference on Robotics and Automation (ACRA), 2012.

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Robot Localisation Using Natural Landmarks

Peter Anderson, Yongki Yusmanthia, Bernhard Hengst and Arcot Sowmya

In Proceedings of the RoboCup International Symposium (RoboCup), 2012.

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Presentations

A Practical Introduction to Deep Learning with Caffe. Presented at the Deep Learning Workshop at AI 2015 / ACRA 2015 in December 2015.

Other Projects

FrameFish

FrameFish is an eyewear virtual try-on system for ecommerce websites. I designed it to load and respond more quickly than competing systems, which can take up to 10 seconds to generate a virtual-try-on image (FrameFish takes about 1 second). FrameFish received an Innovate NSW grant and has been featured on Sky Business News and in the UNSW Young Entrepreneurs series.