Andrew Zisserman
Andrew Zisserman researches computer vision at Oxford. He coauthored Multiple View Geometry in Computer Vision with Richard Hartley and worked with Karen Simonyan on very deep convolutional networks. Their VGG project used 16- and 19-layer models with small filters, evaluated them in the 2014 ImageNet challenge, and published the paper at ICLR 2015. The project also released trained models. Zisserman received the PAMI Distinguished Researcher Award in 2013. He is Professor of Computer Vision Engineering and a Royal Society Research Professor at Oxford as of October 2026.
- Now at
- University of Oxford
- Works
- 1,135
- Citations
- 271,079
- h-index
- 174
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2013
Research recognition
Zisserman received the PAMI Distinguished Researcher Award in 2013. This is a career recognition in computer vision.
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2014
Testing deeper visual networks
Zisserman and Karen Simonyan investigated how network depth affected large-scale recognition. Their VGG models used small three-by-three filters and networks with 16 or 19 weight layers. The team took first place in localization and second in classification in ILSVRC 2014.
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2015
Sharing the VGG models
The research paper appeared at ICLR 2015. The project released the two best-performing models and tested them on other image datasets. This gives later researchers access to the models and a clear account of their evaluation.
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As of October 2026
Geometry across images
Zisserman coauthored Multiple View Geometry in Computer Vision with Richard Hartley. The book concerns the geometric relationships between views of a scene. He works with Oxford’s Visual Geometry Group on computer vision research.
Sources and credits
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