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Andrew Zisserman
Andrew Zisserman
University of Oxford
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Very deep convolutional networks for large-scale image recognition
K Simonyan, A Zisserman
arXiv preprint arXiv:1409.1556, 2014
1025482014
Multiple view geometry in computer vision
R Hartley, A Zisserman
Vision, 2nd ed., New York: Cambridge, 2003
328412003
The pascal visual object classes (voc) challenge
M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman
International journal of computer vision 88 (2), 303-338, 2010
215202010
Video Google: A text retrieval approach to object matching in videos
J Sivic, A Zisserman
Computer Vision, 2003. ICCV 2003. IEEE International Conference on, 1470, 2003
82962003
Two-stream convolutional networks for action recognition in videos
K Simonyan, A Zisserman
Advances in neural information processing systems 27, 2014
79832014
Spatial transformer networks
M Jaderberg, K Simonyan, A Zisserman
Advances in neural information processing systems 28, 2015
73592015
Quo vadis, action recognition? a new model and the kinetics dataset
J Carreira, A Zisserman
proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
67502017
Deep inside convolutional networks: Visualising image classification models and saliency maps
K Simonyan, A Vedaldi, A Zisserman
arXiv preprint arXiv:1312.6034, 2013
66442013
The pascal visual object classes challenge: A retrospective
M Everingham, SMA Eslami, L Van Gool, CKI Williams, J Winn, ...
International journal of computer vision 111 (1), 98-136, 2015
57632015
Deep face recognition
OM Parkhi, A Vedaldi, A Zisserman
British Machine Vision Association, 2015
57042015
A comparison of affine region detectors
K Mikolajczyk, T Tuytelaars, C Schmid, A Zisserman, J Matas, ...
International journal of computer vision 65, 43-72, 2005
43462005
Return of the devil in the details: Delving deep into convolutional nets
K Chatfield, K Simonyan, A Vedaldi, A Zisserman
arXiv preprint arXiv:1405.3531, 2014
40002014
Very deep convolutional networks for large-scale image recognition. arXiv 2014
K Simonyan, A Zisserman
arXiv preprint arXiv:1409.1556 1409, 2014
39722014
Object retrieval with large vocabularies and fast spatial matching
J Philbin, O Chum, M Isard, J Sivic, A Zisserman
2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007
36092007
The kinetics human action video dataset
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950, 2017
31872017
Visual reconstruction
A Blake, A Zisserman
MIT press, 1987
31051987
Object class recognition by unsupervised scale-invariant learning
R Fergus, P Perona, A Zisserman
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
30412003
Convolutional two-stream network fusion for video action recognition
C Feichtenhofer, A Pinz, A Zisserman
Proceedings of the IEEE conference on computer vision and pattern …, 2016
29502016
MLESAC: A new robust estimator with application to estimating image geometry
PHS Torr, A Zisserman
Computer vision and image understanding 78 (1), 138-156, 2000
27842000
Automated flower classification over a large number of classes
ME Nilsback, A Zisserman
2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing …, 2008
27352008
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