Elliot J. Crowley
Elliot J. Crowley
Postdoctoral Researcher, University of Edinburgh
Verified email at ed.ac.uk - Homepage
TitleCited byYear
In search of art
EJ Crowley, A Zisserman
Workshop at the European Conference on Computer Vision, 54-70, 2014
722014
The State of the Art: Object Retrieval in Paintings using Discriminative Regions.
E Crowley, A Zisserman
BMVC, 2014
512014
Face Painting: querying art with photos.
EJ Crowley, OM Parkhi, A Zisserman
BMVC, 65.1-65.13, 2015
232015
Moonshine: Distilling with cheap convolutions
EJ Crowley, G Gray, AJ Storkey
Advances in Neural Information Processing Systems, 2888-2898, 2018
222018
The art of detection
EJ Crowley, A Zisserman
European Conference on Computer Vision, 721-737, 2016
212016
CINIC-10 is not ImageNet or CIFAR-10
LN Darlow, EJ Crowley, A Antoniou, AJ Storkey
arXiv preprint arXiv:1810.03505, 2018
92018
Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks
J Turner, J Cano, V Radu, EJ Crowley, M O’Boyle, A Storkey
2018 IEEE International Symposium on Workload Characterization (IISWC), 101-110, 2018
82018
Of gods and goats: Weakly supervised learning of figurative art
EJ Crowley, A Zisserman
BMVC, 2013
82013
A Closer Look at Structured Pruning for Neural Network Compression
EJ Crowley, J Turner, A Storkey, M O'Boyle
arXiv preprint arXiv:1810.04622, 2018
6*2018
Visual recognition in art using machine learning
E Crowley
University of Oxford, 2017
22017
Distilling with Performance Enhanced Students
J Turner, EJ Crowley, V Radu, J Cano, A Storkey, M O’Boyle
stat 1050, 7, 2019
12019
Dilated DenseNets for Relational Reasoning
A Antoniou, A Słowik, EJ Crowley, A Storkey
arXiv preprint arXiv:1811.00410, 2018
12018
Deep Kernel Transfer in Gaussian Processes for Few-shot Learning
M Patacchiola, J Turner, EJ Crowley, A Storkey
arXiv preprint arXiv:1910.05199, 2019
2019
BlockSwap: Fisher-guided Block Substitution for Network Compression
J Turner, EJ Crowley, G Gray, A Storkey, M O'Boyle
arXiv preprint arXiv:1906.04113, 2019
2019
Separable Layers Enable Structured Efficient Linear Substitutions
G Gray, EJ Crowley, A Storkey
arXiv preprint arXiv:1906.00859, 2019
2019
Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs
V Radu, K Kaszyk, Y Wen, J Turner, J Cano, EJ Crowley, B Franke, ...
IISWC, 2019
2019
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Articles 1–16