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Andrea Vedaldi
Andrea Vedaldi
University of Oxford
Bestätigte E-Mail-Adresse bei robots.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
K Simonyan, A Vedaldi, A Zisserman
Proceedings of the International Conference on Learning Representations (ICLR), 2014
65722014
Deep face recognition
OM Parkhi, A Vedaldi, A Zisserman
British Machine Vision Association, 2015
57412015
Return of the Devil in the Details: Delving Deep into Convolutional Nets
K Chatfield, K Simonyan, A Vedaldi, A Zisserman
British Machine Vision Conference (BMVC), 2014
40112014
VLFeat: An open and portable library of computer vision algorithms
A Vedaldi, B Fulkerson
Proceedings of the 18th ACM international conference on Multimedia, 1469-1472, 2010
3992*2010
Fully-convolutional siamese networks for object tracking
L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
39002016
Matconvnet: Convolutional neural networks for matlab
A Vedaldi, K Lenc
Proceedings of the 23rd ACM international conference on Multimedia, 689-692, 2015
33992015
Instance normalization: The missing ingredient for fast stylization
D Ulyanov, A Vedaldi, V Lempitsky
arXiv preprint arXiv:1607.08022, 2016
33012016
Deep image prior
D Ulyanov, A Vedaldi, V Lempitsky
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2580*2018
The devil is in the details: an evaluation of recent feature encoding methods
K Chatfield, V Lempitsky, A Vedaldi, A Zisserman
BMVC, 2011
21092011
Understanding deep image representations by inverting them
A Mahendran, A Vedaldi
Proceedings of the IEEE conference on computer vision and pattern …, 2015
20232015
End-to-end representation learning for correlation filter based tracking
J Valmadre, L Bertinetto, J Henriques, A Vedaldi, PHS Torr
Proceedings of the IEEE conference on computer vision and pattern …, 2017
16112017
Speeding up Convolutional Neural Networks with Low Rank Expansions
M Jaderberg, A Vedaldi, A Zisserman
British Machine Vision Conference (BMVC), 2014
16012014
Describing textures in the wild
M Cimpoi, S Maji, I Kokkinos, S Mohamed, A Vedaldi
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on,, 2014
15742014
Synthetic data for text localisation in natural images
A Gupta, A Vedaldi, A Zisserman
Proceedings of the IEEE conference on computer vision and pattern …, 2016
14002016
Interpretable explanations of black boxes by meaningful perturbation
RC Fong, A Vedaldi
Proceedings of the IEEE international conference on computer vision, 3429-3437, 2017
13962017
Fine-grained visual classification of aircraft
S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi
arXiv preprint arXiv:1306.5151, 2013
13442013
Efficient additive kernels via explicit feature maps
A Vedaldi, A Zisserman
IEEE transactions on pattern analysis and machine intelligence 34 (3), 480-492, 2012
12812012
Reading text in the wild with convolutional neural networks
M Jaderberg, K Simonyan, A Vedaldi, A Zisserman
International journal of computer vision 116, 1-20, 2016
12312016
Deep filter banks for texture recognition and segmentation
M Cimpoi, S Maji, A Vedaldi
Proceedings of the IEEE conference on computer vision and pattern …, 2015
10952015
Cats and dogs
OM Parkhi, A Vedaldi, A Zisserman, CV Jawahar
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
10912012
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