Andrew Zisserman

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Karen SimonyanChief Scientist, Microsoft AIPatvirtintas el. paštas microsoft.com
Andrea VedaldiUniversity of OxfordPatvirtintas el. paštas robots.ox.ac.uk
Josef SivicCzech Technical University, CIIRC, ELLIS Unit PraguePatvirtintas el. paštas cvut.cz
João CarreiraGoogle DeepMindPatvirtintas el. paštas google.com
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEPatvirtintas el. paštas insait.ai
Weidi XieShanghai Jiao Tong University | VGG, University of OxfordPatvirtintas el. paštas robots.ox.ac.uk
Joon Son ChungKAISTPatvirtintas el. paštas kaist.ac.kr
Arsha NagraniResearch Scientist, GooglePatvirtintas el. paštas google.com
Philip TorrProfessor, University of OxfordPatvirtintas el. paštas eng.ox.ac.uk
Andrew BlakeAI ConsultantPatvirtintas el. paštas ablake.ai
Relja Arandjelović / Реља Аранђелов...Google DeepMindPatvirtintas el. paštas google.com
David ForsythProfessor of Computer Science, University of Illinois, Urbana ChampaignPatvirtintas el. paštas uiuc.edu
Omkar M ParkhiResearch Scientist, FacebookPatvirtintas el. paštas fb.com
Chris WilliamsProfessor of Machine Learning, University of EdinburghPatvirtintas el. paštas inf.ed.ac.uk
Timor KadirOptellum and Oxford UniversityPatvirtintas el. paštas robots.ox.ac.uk
Richard HartleyAustralian National University, National ICT Australia (NICTA)Patvirtintas el. paštas anu.edu.au
Cordelia SchmidResearch director INRIA Patvirtintas el. paštas inria.fr
John WinnPrincipal Researcher, Machine Learning Group, Microsoft Research CambridgePatvirtintas el. paštas microsoft.com
Triantafyllos AfourasFAIR, Meta, University of OxfordPatvirtintas el. paštas fb.com
Pietro PeronaCalifornia Institute of TechnologyPatvirtintas el. paštas caltech.edu

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Andrew Zisserman

University of Oxford

Patvirtintas el. paštas robots.ox.ac.uk - Pagrindinis puslapis

Computer Vision Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Very deep convolutional networks for large-scale image recognition K Simonyan, A Zisserman arXiv preprint arXiv:1409.1556, 2014	135420	2014
Multiple view geometry in computer vision R Hartley, A Zisserman Vision, 2nd ed., New York: Cambridge, 2003	36001	2003
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	23990	2010
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	11630	2015
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	10077	2017
Two-stream convolutional networks for action recognition in videos K Simonyan, A Zisserman Advances in neural information processing systems 27, 2014	9674	2014
Spatial transformer networks M Jaderberg, K Simonyan, A Zisserman Advances in neural information processing systems 28, 2015	9528	2015
Deep inside convolutional networks: Visualising image classification models and saliency maps K Simonyan, A Vedaldi, A Zisserman arXiv preprint arXiv:1312.6034, 2013	8972	2013
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	8603	2003
Deep face recognition O Parkhi, A Vedaldi, A Zisserman BMVC 2015-Proceedings of the British Machine Vision Conference 2015, 2015	6698	2015
The kinetics human action video dataset W Kay, J Carreira, K Simonyan, B Zhang, C Hillier, S Vijayanarasimhan, ... arXiv preprint arXiv:1705.06950, 2017	4755	2017
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	4513	2005
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	4361	2014
Automated flower classification over a large number of classes ME Nilsback, A Zisserman 2008 Sixth Indian conference on computer vision, graphics & image processing …, 2008	4285	2008
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	3867	2007
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	3538	2016
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	3324	2018
Visual reconstruction A Blake, A Zisserman MIT press, 1987	3297	1987
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	3284	2022
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	3137	2000

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