Stephanie M. Lowry

Publication Activity (10 Years)

Years Active: 2013-2016
Publications (10 Years): 6

Top Topics

Metric Learning

Changing Environment

Linear Regression

Supervised And Unsupervised Learning

Top Venues

IEEE Trans. Robotics

Neural Networks

Publications

Stephanie M. Lowry, Niko Sünderhauf, Paul Newman, John J. Leonard, David D. Cox, Peter I. Corke, Michael J. Milford
Visual Place Recognition: A Survey. IEEE Trans. Robotics 32 (1) (2016)
Stephanie M. Lowry, Michael J. Milford
Supervised and Unsupervised Linear Learning Techniques for Visual Place Recognition in Changing Environments. IEEE Trans. Robotics 32 (3) (2016)
Zetao Chen, Stephanie M. Lowry, Adam Jacobson, Michael E. Hasselmo, Michael Milford
Bio-inspired homogeneous multi-scale place recognition. Neural Networks 72 (2015)
Michael Milford, Stephanie M. Lowry, Niko Sünderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid
Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition. CVPR Workshops (2015)
Stephanie M. Lowry, Michael J. Milford
Building beliefs: Unsupervised generation of observation likelihoods for probabilistic localization in changing environments. IROS (2015)
Zetao Chen, Stephanie M. Lowry, Adam Jacobson, ZongYuan Ge, Michael Milford
Distance metric learning for feature-agnostic place recognition. IROS (2015)
Stephanie M. Lowry, Michael J. Milford, Gordon F. Wyeth
Transforming morning to afternoon using linear regression techniques. ICRA (2014)
Stephanie M. Lowry, Gordon F. Wyeth, Michael Milford
Towards training-free appearance-based localization: Probabilistic models for whole-image descriptors. ICRA (2014)
Stephanie M. Lowry, Gordon F. Wyeth, Michael Milford
Odometry-driven inference to link multiple exemplars of a location. IROS (2013)