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Hilton Bristow
Hilton Bristow
CSIRO, Queensland University of Technology
Bestätigte E-Mail-Adresse bei csiro.au
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Zitiert von
Zitiert von
Jahr
Fast convolutional sparse coding
H Bristow, A Eriksson, S Lucey
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
4132013
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
682015
Optimization methods for convolutional sparse coding
H Bristow, S Lucey
arXiv preprint arXiv:1406.2407, 2014
532014
Why do linear SVMs trained on HOG features perform so well?
H Bristow, S Lucey
arXiv preprint arXiv:1406.2419, 2014
522014
In defense of gradient-based alignment on densely sampled sparse features
H Bristow, S Lucey
Dense image correspondences for computer vision, 135-152, 2016
162016
V1-inspired features induce a weighted margin in SVMs
H Bristow, S Lucey
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 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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