Hilton Bristow
Hilton Bristow
CSIRO, Queensland University of Technology
Verified email at csiro.au
Title
Cited by
Cited by
Year
Fast convolutional sparse coding
H Bristow, A Eriksson, S Lucey
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
3022013
Percutaneous intracerebral navigation by duty-cycled spinning of flexible bevel-tipped needles
JA Engh, DS Minhas, D Kondziolka, CN Riviere
Neurosurgery 67 (4), 1117-1123, 2010
111*2010
Dense semantic correspondence where every pixel is a classifier
H Bristow, J Valmadre, S Lucey
Proceedings of the IEEE International Conference on Computer Vision, 4024-4031, 2015
512015
Why do linear SVMs trained on HOG features perform so well?
H Bristow, S Lucey
arXiv preprint arXiv:1406.2419, 2014
452014
Optimization methods for convolutional sparse coding
H Bristow, S Lucey
arXiv preprint arXiv:1406.2407, 2014
392014
In defense of gradient-based alignment on densely sampled sparse features
H Bristow, S Lucey
Dense Image Correspondences for Computer Vision, 135-152, 2016
132016
V1-inspired features induce a weighted margin in SVMs
H Bristow, S Lucey
European Conference on Computer Vision, 59-72, 2012
62012
Regression-based image alignment for general object categories
H Bristow, S Lucey
arXiv preprint arXiv:1407.1957, 2014
32014
Registration and representation in computer vision
HK Bristow
Queensland University of Technology, 2016
2016
Analysing X-means Clustering for Reproducibility, Validity and Effectiveness
H Bristow
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Articles 1–10