Andrea Vedaldi
Andrea Vedaldi
University of Oxford
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Deep face recognition
OM Parkhi, A Vedaldi, A Zisserman
British Machine Vision Association, 2015
40912015
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
3698*2010
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
35432014
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
32642014
Matconvnet: Convolutional neural networks for matlab
A Vedaldi, K Lenc
Proceedings of the 23rd ACM international conference on Multimedia, 689-692, 2015
29712015
Fully-convolutional siamese networks for object tracking
L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr
European conference on computer vision, 850-865, 2016
20182016
Instance normalization: The missing ingredient for fast stylization
D Ulyanov, A Vedaldi, V Lempitsky
arXiv preprint arXiv:1607.08022, 2016
15012016
Understanding deep image representations by inverting them
A Mahendran, A Vedaldi
Proceedings of the IEEE conference on computer vision and pattern …, 2015
13812015
The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
13072015
Efficient additive kernels via explicit feature maps
A Vedaldi, A Zisserman
IEEE transactions on pattern analysis and machine intelligence 34 (3), 480-492, 2012
12182012
Speeding up Convolutional Neural Networks with Low Rank Expansions
M Jaderberg, A Vedaldi, A Zisserman
British Machine Vision Conference (BMVC), 2014
11232014
The devil is in the details: an evaluation of recent feature encoding methods
K Chatfield, V Lempitsky, A Vedaldi, A Zisserman
BMVC, 2011
10752011
Deep image prior
D Ulyanov, A Vedaldi, V Lempitsky
Proceedings of the IEEE conference on computer vision and pattern …, 2018
970*2018
Multiple kernels for object detection
A Vedaldi, V Gulshan, M Varma, A Zisserman
2009 IEEE 12th international conference on computer vision, 606-613, 2009
9692009
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
9642017
Reading text in the wild with convolutional neural networks
M Jaderberg, K Simonyan, A Vedaldi, A Zisserman
International journal of computer vision 116 (1), 1-20, 2016
8962016
Quick shift and kernel methods for mode seeking
A Vedaldi, S Soatto
European conference on computer vision, 705-718, 2008
8612008
Objects in context
A Rabinovich, A Vedaldi, C Galleguillos, E Wiewiora, S Belongie
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
8402007
Class segmentation and object localization with superpixel neighborhoods
B Fulkerson, A Vedaldi, S Soatto
2009 IEEE 12th international conference on computer vision, 670-677, 2009
8252009
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
7792016
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Articles 1–20