Andrew Zisserman

University of Oxford (GB)

Research Areas

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H-index

167

Publications

967

Citations

258872

i10-index

591

Publications & Citations Over Time

Top Cited Publications

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Title	Year	Citations
Very Deep Convolutional Networks for Large-Scale I...	2014	75398
Multiple View Geometry in Computer Vision	2004	20534
The Pascal Visual Object Classes (VOC) Challenge	2009	18954
The Pascal Visual Object Classes Challenge: A Retr...	2014	7132
Two-Stream Convolutional Networks for Action Recog...	2014	5353
Deep Face Recognition	2015	4995
Deep Inside Convolutional Networks: Visualising Im...	2013	4892
Return of the Devil in the Details: Delving Deep i...	2014	3082
Object retrieval with large vocabularies and fast ...	2007	2957
A Comparison of Affine Region Detectors	2005	2914

Publications

1.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Year: 2014Citations: 75398DOI: 10.48550/arxiv.1409.1556
2.
Multiple View Geometry in Computer Vision
Year: 2004Citations: 20534DOI: 10.1017/cbo9780511811685
3.
The Pascal Visual Object Classes (VOC) Challenge
Year: 2009Citations: 18954DOI: 10.1007/s11263-009-0275-4
4.
The Pascal Visual Object Classes Challenge: A Retrospective
Year: 2014Citations: 7132DOI: 10.1007/s11263-014-0733-5
5.
Two-Stream Convolutional Networks for Action Recognition in Videos
Year: 2014Citations: 5353DOI: 10.48550/arxiv.1406.2199
6.
Deep Face Recognition
Year: 2015Citations: 4995DOI: 10.5244/c.29.41
7.
Deep Inside Convolutional Networks: Visualising Image Classification\n Models and Saliency Maps
Year: 2013Citations: 4892DOI: 10.48550/arxiv.1312.6034
8.
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Year: 2014Citations: 3082DOI: 10.5244/c.28.6
9.
Object retrieval with large vocabularies and fast spatial matching
Year: 2007Citations: 2957DOI: 10.1109/cvpr.2007.383172
10.
A Comparison of Affine Region Detectors
Year: 2005Citations: 2914DOI: 10.1007/s11263-005-3848-x

About Andrew Zisserman

Andrew Zisserman is a researcher with 967 publications and 258872 citations. They are affiliated with University of Oxford. Their research focuses on . With an h-index of 167, they are among the top researchers in their field.

Citation Distribution

Distribution of citations across publications

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