Andrew Zisserman

256.0k citations

439 papers · 137.0k indexed · 48 hit papers · h-index 110

Impact in

Computer Vision and Pattern Recognition top 0.01%
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
Media Technology top 0.01%

Papers in

Computer Vision and Pattern Recognition 348
- Advanced Image and Video Retrieval Techniques 135
- Advanced Vision and Imaging 98
- Image Retrieval and Classification Techniques 65
- Human Pose and Action Recognition 61
- Video Surveillance and Tracking Methods 43
- Multimodal Machine Learning Applications 43
Computer Graphics and Computer-Aided Design 19

Co-authors: Karen Simonyan Richard Hartley Luc Van Gool Mark Everingham Christopher K. I. Williams John Winn Andrea Vedaldi Omkar Parkhi
Journals: International Journal of Computer Vision (29 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (20 papers)Image and Vision Computing (18 papers)Medical Image Analysis (5 papers)Computer Vision and Image Understanding (5 papers)
Partner nations: United Kingdom United States France

In The Last Decade

Andrew Zisserman

423 papers receiving 130.6k citations

Hit Papers

15 papers align trajectories log scale

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations 2021 · 245 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
2020 Oxford University Research Archive (ORA) (University of Oxford)
2020 End-to-End Learning of Visual Representations From Uncurated Instructional Videos
2019 arXiv (Cornell University)
2019 Computer Speech & Language
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence
2018 arXiv (Cornell University)
2018 VGGFace2: A Dataset for Recognising Faces across Pose and Age
2017 Look, Listen and Learn
2016 Synthetic Data for Text Localisation in Natural Images
2016 Convolutional Two-Stream Network Fusion for Video Action Recognition
2015 International Journal of Computer Vision
2015 Flowing ConvNets for Human Pose Estimation in Videos
2015 Deep Face Recognition
2014 Speeding up Convolutional Neural Networks with Low Rank Expansions
2014 arXiv (Cornell University)
2014 International Journal of Computer Vision
2013 Fisher Vector Faces in the Wild
2013 All About VLAD
2012 Three things everyone should know to improve object retrieval
2011 International Journal of Computer Vision
2011 IEEE Transactions on Pattern Analysis and Machine Intelligence
2011 The devil is in the details: an evaluation of recent feature encoding methods
2010 Oxford University Research Archive (ORA) (University of Oxford)
2009 International Journal of Computer Vision
2009 IEEE Transactions on Pattern Analysis and Machine Intelligence
2009 Non-local sparse models for image restoration
2009 Multiple kernels for object detection
2008 IEEE Transactions on Pattern Analysis and Machine Intelligence
2008 Discriminative learned dictionaries for local image analysis
2008 Edinburgh Research Explorer
2008 Lost in quantization: Improving particular object retrieval in large scale image databases
2007 Object retrieval with large vocabularies and fast spatial matching
2007 Representing shape with a spatial pyramid kernel
2007 Image Classification using Random Forests and Ferns
2006 Figshare
2006 A Visual Vocabulary for Flower Classification
2006 The PASCAL visual object classes challenge 2006 (VOC2006) results
2005 Figshare
2005 International Journal of Computer Vision
2005 Learning object categories from Google's image search
2005 International Journal of Computer Vision
2004 Cambridge University Press eBooks
2003 Object class recognition by unsupervised scale-invariant learning
2003 Cambridge University Press eBooks
2001 Cambridge University Press eBooks
1992 MIT Press eBooks
1987 The MIT Press eBooks

Peers

Countries citing papers authored by Andrew Zisserman

Since Specialization

Citations

This map shows the geographic impact of Andrew Zisserman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Zisserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Zisserman more than expected).

Fields of papers citing papers by Andrew Zisserman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Zisserman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Zisserman. The network helps show where Andrew Zisserman may publish in the future.

Co-authors

The 25 scholars most cited alongside Andrew Zisserman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Zisserman Line = papers co-authored together Andrew Zisserman links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Detect+Track: robust and flexible software tools for improved tracking and behavioural analysis of fish Royal Society Open Science ·Abhishek Dutta, Natalia Pérez-Campanero, Graham K. Taylor, Andrew Zisserman, Cait Newport	2025	1
2	Automated detection of spinal bone marrow oedema in axial spondyloarthritis: training and validation using two large phase 3 trial datasets Lara D. Veeken ·Amir Jamaludin, Rhydian Windsor, Sarim Ather, Timor Kadir, Andrew Zisserman, Jürgen Braun, Lianne S. Gensler, Mikkel Østergaard, Denis Poddubnyy, Thibaud Coroller, Brian Porter, Gregory Ligozio, Aimee Readie, Pedro Machado	2025	1
3	Voicevector: Multimodal Enrolment Vectors for Speaker Separation Akam Rahimi, Triantafyllos Afouras, Andrew Zisserman	2024	0
4	The VoxCeleb Speaker Recognition Challenge: A Retrospective IEEE/ACM Transactions on Audio Speech and Language Processing ·Jaesung Huh, Joon Son Chung, Arsha Nagrani, Andrew J. Brown, Jee-weon Jung, Daniel Garcia-Romero, Andrew Zisserman	2024	10
5	ISSLS PRIZE in Clinical Science 2023: comparison of degenerative MRI features of the intervertebral disc between those with and without chronic low back pain. An exploratory study of two large female populations using automated annotation European Spine Journal ·Amir Jamaludin, Timor Kadir, Andrew Zisserman, Iain W. McCall, Frances M. K. Williams, H. Lang, E Buchanan, J Urban, Jeremy Fairbank	2023	6
6	Automated measurement of size of spinal curve in population-based cohorts: Validation of a method based on total body dual energy X-ray absorptiometry scans Bone ·Amir Jamaludin, Jeremy Fairbank, Ian Harding, Timor Kadir, Andrew Zisserman, Emma Clark	2023	1
7	Bristol Research (University of Bristol) ·(unknown), (unknown), Andrew Zisserman, (unknown)	2021	28
8	Spot the Conversation: Speaker Diarisation in the Wild arXiv (Cornell University) ·Joon Son Chung, Jaesung Huh, Arsha Nagrani, Triantafyllos Afouras, Andrew Zisserman	2020	70
9	Vggsound: A Large-Scale Audio-Visual Dataset Oxford University Research Archive (ORA) (University of Oxford) ·Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman Hit paper breakdown →	2020	234
10	Training Neural Networks for and by Interpolation Oxford University Research Archive (ORA) (University of Oxford) ·Leonard Berrada, Manish Kumar, Andrew Zisserman	2020	5
11	VoxCeleb2: Deep Speaker Recognition arXiv (Cornell University) ·Joon Son Chung, Arsha Nagrani, Andrew Zisserman Hit paper breakdown →	2018	1248
12	Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning Medical Image Analysis ·Ana I. L. Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, J. Alison Noble	2018	57
13	Look, Listen and Learn Relja Arandjelović, Andrew Zisserman Hit paper breakdown →	2017	423
14	Convolutional Two-Stream Network Fusion for Video Action Recognition Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman Hit paper breakdown →	2016	1767
15	CLAROS - Collaborating on Delivering the Future of the Past. DH ·Sebastian Rahtz, Alexander Dutton, Donna Kurtz, Graham Klyne, Andrew Zisserman, Relja Arandjelović	2011	1
16	Lost in quantization: Improving particular object retrieval in large scale image databases James Philbin, Ondřej Chum, Michael Isard, Josef Šivic, Andrew Zisserman Hit paper breakdown →	2008	942
17	Oxford/IIIT TRECVID 2008 - Notebook paper Oxford University Research Archive (ORA) (University of Oxford) ·James Philbin, Manuel J. Marín‐Jiménez, Siddharth Srinivasan, Andrew Zisserman, Mihir Jain, Sreekanth Vempati, K. Pramod Sankar, C. V. Jawahar	2008	2
18	Image Classification using Random Forests and Ferns Anna Bosch, Andrew Zisserman, Xavier Muñoz Hit paper breakdown →	2007	859
19	Visual guidance for robot motion Cambridge University Engineering Department Publications Database ·Andrew Blake, Roberto Cipolla, R. Curwen, Zhaoming Xie, Andrew Zisserman	1991	1
20	Visual reconstruction and the GNC algorithm Oxford University Press eBooks ·Andrew Blake, Andrew Zisserman	1988	1

About Andrew Zisserman

Andrew Zisserman is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Geology and Space and Planetary Science, having authored 439 papers that have together received 137.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (135 papers), Advanced Vision and Imaging (98 papers), Image Retrieval and Classification Techniques (65 papers), Human Pose and Action Recognition (61 papers), Robotics and Sensor-Based Localization (44 papers), Video Surveillance and Tracking Methods (43 papers), Multimodal Machine Learning Applications (43 papers) and Domain Adaptation and Few-Shot Learning (41 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (99.8k citations), Media Technology (14.8k citations), Artificial Intelligence (34.0k citations), Signal Processing (9.8k citations) and Aerospace Engineering (18.8k citations). Andrew Zisserman has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Karen Simonyan, Richard Hartley, Luc Van Gool, Mark Everingham, Christopher K. I. Williams, John Winn, Andrea Vedaldi, Omkar Parkhi, Josef Šivic and Manik Varma. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing, Medical Image Analysis and Computer Vision and Image Understanding.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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