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2025
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Computer Science
UK
2026

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Best Scientists

D-Index
197
Citations
392043
World Ranking
317
National Ranking
34

Computer Science

D-Index
199
Citations
403845
World Ranking
4
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2008 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2007 - Fellow of the Royal Society, United Kingdom

Overview

Andrew Zisserman is affiliated with the University of Oxford in the United Kingdom. Their primary field of research is Computer Science, with a strong focus on related subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering, and Human-Computer Interaction.

The scientist's research topics cover a range of areas including:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Video Analysis and Summarization
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

Andrew Zisserman has contributed significant publications, with many releases in notable venues. Frequent publication sites include:

  • arXiv (Cornell University) with 128 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 8 publications
  • Lecture notes in computer science with 7 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) with 6 publications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV) with 5 publications

Recent papers authored or co-authored by Andrew Zisserman include:

  • "Flamingo: a Visual Language Model for Few-Shot Learning," 2022, arXiv (Cornell University)
  • "With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "A Short Note on the Kinetics-700-2020 Human Action Dataset," 2020, arXiv (Cornell University)
  • "Self-supervised Co-training for Video Representation Learning," 2020, arXiv (Cornell University)
  • "Self-Supervised MultiModal Versatile Networks," 2020, arXiv (Cornell University)

Collaboration forms a significant aspect of their work, with frequent co-authors including:

  • Weidi Xie (39 joint publications)
  • Andrea Vedaldi (24 joint publications)
  • Gül Varol (24 joint publications)
  • Samuel Albanie (21 joint publications)
  • Timor Kadir (20 joint publications)

Recognitions awarded to Andrew Zisserman consist of:

  • Distinguished Fellow of the British Machine Vision Association (BMVA), 2008
  • Fellow of the Royal Society, United Kingdom, 2007

Best Publications

  • Very Deep Convolutional Networks for Large-Scale Image Recognition

    Karen Simonyan;Andrew Zisserman

  • Multiple view geometry in computer vision

    Richard Hartley;Andrew Zisserman

  • The Pascal Visual Object Classes (VOC) Challenge

    Mark Everingham;Luc Gool;Christopher K. Williams;John Winn

  • Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

    Joao Carreira;Andrew Zisserman

  • The Pascal Visual Object Classes Challenge: A Retrospective

    Mark Everingham;S. M. Eslami;Luc Gool;Christopher K. Williams

  • Two-Stream Convolutional Networks for Action Recognition in Videos

    Karen Simonyan;Andrew Zisserman

  • Spatial transformer networks

    Max Jaderberg;Karen Simonyan;Andrew Zisserman;Koray Kavukcuoglu

  • Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

    Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • Deep face recognition

    Omkar M. Parkhi;Andrea Vedaldi;Andrew Zisserman

  • Multiple View Geometry in Computer Vision (2nd ed)

    Richard Hartley;Andrew Zisserman

  • A Comparison of Affine Region Detectors

    K. Mikolajczyk;T. Tuytelaars;C. Schmid;A. Zisserman

  • Return of the Devil in the Details: Delving Deep into Convolutional Nets

    Ken Chatfield;Karen Simonyan;Andrea Vedaldi;Andrew Zisserman

  • Automated Flower Classification over a Large Number of Classes

    M.-E. Nilsback;A. Zisserman

  • Object retrieval with large vocabularies and fast spatial matching

    J. Philbin;O. Chum;M. Isard;J. Sivic

  • Object class recognition by unsupervised scale-invariant learning

    R. Fergus;P. Perona;A. Zisserman

  • Visual Reconstruction

    Andrew Blake;Andrew Zisserman

  • Convolutional Two-Stream Network Fusion for Video Action Recognition

    Christoph Feichtenhofer;Axel Pinz;Andrew Zisserman

  • MLESAC: A New Robust Estimator with Application to Estimating Image Geometry

    Philip H. S. Torr;Andrew Zisserman

  • VGGFace2: A Dataset for Recognising Faces across Pose and Age

    Qiong Cao;Li Shen;Weidi Xie;Omkar M. Parkhi

  • The Kinetics Human Action Video Dataset

    Andrew Zisserman;Joao Carreira;Karen Simonyan;Will Kay

Frequent Co-Authors

Andrea Vedaldi
Andrea Vedaldi University of Oxford
Josef Sivic
Josef Sivic Czech Technical University in Prague
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Karen Simonyan
Karen Simonyan DeepMind (United Kingdom)
Joseph L. Mundy
Joseph L. Mundy Brown University
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Richard Hartley
Richard Hartley Australian National University
Jean Ponce
Jean Ponce École Normale Supérieure

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