Andrew Zisserman

University of Oxford (GB)

Research Areas

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H-index

166

Publications

969

Citations

257576

i10-index

593

Publications & Citations Over Time

Top Cited Publications

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Title	Year	Citations
Very Deep Convolutional Networks for Large-Scale I...	2014	75390
Multiple View Geometry in Computer Vision	2004	20403
The Pascal Visual Object Classes (VOC) Challenge	2009	18488
The Pascal Visual Object Classes Challenge: A Retr...	2014	7001
Two-Stream Convolutional Networks for Action Recog...	2014	5347
Deep Face Recognition	2015	4937
Deep Inside Convolutional Networks: Visualising Im...	2013	4880
Return of the Devil in the Details: Delving Deep i...	2014	3072
Object retrieval with large vocabularies and fast ...	2007	2949
A Comparison of Affine Region Detectors	2005	2908

Publications

1.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Year: 2014Citations: 75390DOI: 10.48550/arxiv.1409.1556
2.
Multiple View Geometry in Computer Vision
Year: 2004Citations: 20403DOI: 10.1017/cbo9780511811685
3.
The Pascal Visual Object Classes (VOC) Challenge
Year: 2009Citations: 18488DOI: 10.1007/s11263-009-0275-4
4.
The Pascal Visual Object Classes Challenge: A Retrospective
Year: 2014Citations: 7001DOI: 10.1007/s11263-014-0733-5
5.
Two-Stream Convolutional Networks for Action Recognition in Videos
Year: 2014Citations: 5347DOI: 10.48550/arxiv.1406.2199
6.
Deep Face Recognition
Year: 2015Citations: 4937DOI: 10.5244/c.29.41
7.
Deep Inside Convolutional Networks: Visualising Image Classification\n Models and Saliency Maps
Year: 2013Citations: 4880DOI: 10.48550/arxiv.1312.6034
8.
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Year: 2014Citations: 3072DOI: 10.5244/c.28.6
9.
Object retrieval with large vocabularies and fast spatial matching
Year: 2007Citations: 2949DOI: 10.1109/cvpr.2007.383172
10.
A Comparison of Affine Region Detectors
Year: 2005Citations: 2908DOI: 10.1007/s11263-005-3848-x

About Andrew Zisserman

Andrew Zisserman is a researcher with 969 publications and 257576 citations. They are affiliated with University of Oxford. Their research focuses on . With an h-index of 166, they are among the top researchers in their field.

Citation Distribution

Distribution of citations across publications

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