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Dr Liam Ellis
Research
I am mainly interested in developing and applying Machine Learning and Data Mining algorithms for Computer Vision problems.Projects that I have been involved with:
- Embodied Vehicle Navigation: Autonomous visual robot navigation.
- Moving Object Segmentation: Autonomous segmentation of moving objects in video, with moving camera.
- Adaptive Regression Tracking : Personal project based around parts of my PhD work.
- GARNICS: Gardening with a Cognitive System (FP 7 ICT).
- DIPLECS: Dynamic Interactive Perception-action LEarning in Cognitive Systems (FP 7 ICT). A driver safety oriented project.
- COSPAL: COgnitive Systems using Perception-Action Learning.
Publications
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L Ellis, N Pugeault, K Ofjall, J Hedborg, R Bowden, and M Felsberg.
Autonomous navigation and sign detector learning.
In Winter Vision Meetings, IEEE Workshop on Robot Vision, 2013.
WoRV2013 at Winter Vision Meetings 2013. [ bib pdf | project ] |
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L Ellis and V Zografos.
Online learning for fast segmentation of moving objects.
To appear Proc Asian Conference Computer Vision, LNCS, 2012.
ACCV2012. [ bib pdf | project ] |
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Liam Ellis, Nicholas Dowson, Jiri Matas, and Richard Bowden.
Linear regression and adaptive appearance models for fast
simultaneous modelling and tracking.
International Journal of Computer Vision, 95:154-179, 2011. 10.1007/s11263-010-0364-4.
IJCV2011. [ bib | http | preprint | project ] |
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L Ellis, M Felsberg, and R Bowden.
Affordance mining: Forming perception through action.
In Proc Asian Comference Computer Vision, LNCS 6492-6495,
volume 4, pages 2620-2633, 2010.
ACCV2010. [ bib | pdf ] |
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Vasileios Zografos, Klas Nordberg, and Liam Ellis.
Sparse motion segmentation using multiple six-point consistencies.
In VECTaR workshop (with ACCV), 2010.
VECTaR2010 at ACCV2010 [ bib | pdf ] |
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Eng-Jon Ong, Liam Ellis, and Richard Bowden.
Problem solving through imitation.
Image Vision Comput., 27(11):1715-1728, October 2009.
IVC2009. [ bib | DOI | http | preprint ] |
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L. Ellis, J.G. Matas, and R. Bowden.
Online learning and partitioning of linear displacement predictors
for tracking.
In Proceedings of the British Machine Vision Conference, pages
4.1-4.10. BMVA Press, 2008.
doi:10.5244/C.22.4.
BMVC2008. [ bib | pdf | project ] |
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L Ellis and R Bowden.
Linear predictors for fast simultaneous modeling and tracking.
In submitted to Workshop on Non-rigid Registration and Tracking
through Learning, Eleventh IEEE Intl. Conf. Computer Vision, Rio de Janeiro,
Brazil, 2007.
NRTL2007 at ICCV2007. [ bib | pdf | project ] |
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L Ellis and R Bowden.
Learning responses to visual stimuli: A generic approach.
In 5th International Conference on Computer Vision Systems,
Bielefeld, Germany, 2007.
ICVS2007 [ bib | pdf ] |
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L Ellis and R Bowden.
A generalised exemplar approach to modelling perception action
couplings.
In International Workshop on Semantic Knowledge in Computer
Vision, Tenth IEEE Intl. Conf. Computer Vision, page 1874, Beijing, China,
2005.
WoSKCV2005 at ICCV2005 [ bib | pdf ] |
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R Bowden, L Ellis, J Kittler, M Shevchenko, and D Windridge.
Unsupervised symbol grounding and cognitive bootstrapping in
cognitive vision.
In Proc. 13th Int. Conference on Image Analysis and Processing,
pages 27-36, September 2005.
CIAP2005 [ bib | pdf ] |
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Liam Ellis
Contact:
liam dot f DOT ellis aT gmail dOt com
My pages:
Page responsible: Liam Ellis
Last updated: 2012-11-16
