News

NEW! (June 2018) Presenting an invited talk at the VQA Challenge and Visual Dialog workshop at CVPR.

NEW! (May 2018) Our Vision and Language Navigation (VLN) challenge and leaderboard is now live on EvalAI!

NEW! (May 2018) Very excited to be an organizer of the ECCV 2018 workshop on Visual Learning and Embodied Agents in Simulation Environments.

NEW! (April 2018) We have a paper accepted to ACL 2018.

NEW! (February 2018) Our proposed tutorial on Connecting Language and Vision to Actions has been accepted by ACL 2018.

NEW! (February 2018) We have three papers accepted to CVPR 2018, including one oral and one spotlight! Congratulations to all co-authors.

More

Conference Publications

Partially-Supervised Image Captioning

Peter Anderson, Stephen Gould, Mark Johnson

ArXiv preprint 1806.06004, 2018.

PDF

Predicting accuracy on large datasets from smaller pilot data

Mark Johnson, Peter Anderson, Mark Dras, Mark Steedman

In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. Oral Presentation

PDF

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian Reid, Stephen Gould, Anton van den Hengel

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Spotlight Presentation

Project PDF Code Poster

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, Lei Zhang

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Oral Presentation

Project PDF Features Code Captioning Code Poster Slides

Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge

Damien Teney, Peter Anderson, Xiaodong He, Anton van den Hengel

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

PDF Slides

Guided Open Vocabulary Image Captioning with Constrained Beam Search

Peter Anderson, Basura Fernando, Mark Johnson and Stephen Gould

In Conference on Empirical Methods for Natural Language Processing (EMNLP), 2017.

PDF

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 Poster Slides

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.

PDF

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.

PDF

Robot Localisation Using Natural Landmarks

Peter Anderson, Yongki Yusmanthia, Bernhard Hengst and Arcot Sowmya

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

PDF

Presentations

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

Bio

2015 - 2018

PhD (Computer Science), Australian National University

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

Engineer, Sabre Autonomous Solutions

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

Flounder, FrameFish

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

BEng (Computer), University of NSW

1st class honours and university medal.
2005 - 2009

Equities Analyst, Credit Suisse

Providing recommendations and research to institutional investors.
2000 - 2004

BComm (Finance & Economics), University of Sydney

1st class honours and university medal.

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.