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Andrew Zisserman
Andrew Zisserman
University of Oxford
Email confirmado em robots.ox.ac.uk - Página inicial
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Very deep convolutional networks for large-scale image recognition
K Simonyan, A Zisserman
arXiv preprint arXiv:1409.1556, 2014
1356932014
Multiple view geometry in computer vision
R Hartley, A Zisserman
Vision, 2nd ed., New York: Cambridge, 2003
360012003
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
240372010
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
116492015
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
101152017
Two-stream convolutional networks for action recognition in videos
K Simonyan, A Zisserman
Advances in neural information processing systems 27, 2014
96932014
Spatial transformer networks
M Jaderberg, K Simonyan, A Zisserman
Advances in neural information processing systems 28, 2015
95392015
Deep inside convolutional networks: Visualising image classification models and saliency maps
K Simonyan, A Vedaldi, A Zisserman
arXiv preprint arXiv:1312.6034, 2013
89932013
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
86042003
Deep face recognition
O Parkhi, A Vedaldi, A Zisserman
BMVC 2015-Proceedings of the British Machine Vision Conference 2015, 2015
67072015
The kinetics human action video dataset
W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ...
arXiv preprint arXiv:1705.06950, 2017
47712017
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
45142005
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
43652014
Automated flower classification over a large number of classes
ME Nilsback, A Zisserman
2008 Sixth Indian conference on computer vision, graphics & image processing …, 2008
43062008
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
38682007
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
35462016
Vggface2: A dataset for recognising faces across pose and age
Q Cao, L Shen, W Xie, OM Parkhi, A Zisserman
2018 13th IEEE international conference on automatic face & gesture …, 2018
33302018
Flamingo: a visual language model for few-shot learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in neural information processing systems 35, 23716-23736, 2022
33292022
Visual reconstruction
A Blake, A Zisserman
MIT press, 1987
32961987
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
31392000
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