Standout Papers

Very Deep Convolutional Networks for Large-Scale ... 2003 2026 2010 2018 34.3k
  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (2014)
    Karen Simonyan, Andrew Zisserman arXiv (Cornell University)
  2. Multiple View Geometry in Computer Vision (2004)
    Richard Hartley, Andrew Zisserman Cambridge University Press eBooks
  3. The Pascal Visual Object Classes (VOC) Challenge (2009)
    Mark Everingham, Luc Van Gool et al. International Journal of Computer Vision
  4. The Pascal Visual Object Classes Challenge: A Retrospective (2014)
    Mark Everingham, S. M. Ali Eslami et al. International Journal of Computer Vision
  5. Multiple View Geometry in Computer Vision (2nd ed) (2003)
    Richard Hartley, Andrew Zisserman Cambridge University Press eBooks
  6. A Comparison of Affine Region Detectors (2005)
    Krystian Mikolajczyk, Tinne Tuytelaars et al. International Journal of Computer Vision
  7. Visual Reconstruction (1987)
    Andrew Blake, Andrew Zisserman The MIT Press eBooks
  8. VoxCeleb2: Deep Speaker Recognition (2018)
    Joon Son Chung, Arsha Nagrani et al. arXiv (Cornell University)
  9. A Statistical Approach to Texture Classification from Single Images (2005)
    Manik Varma, Andrew Zisserman International Journal of Computer Vision
  10. Multiple view geometry in computer visiond (2001)
    Richard Hartley, Andrew Zisserman Cambridge University Press eBooks
  11. Reading Text in the Wild with Convolutional Neural Networks (2015)
    Max Jaderberg, Karen Simonyan et al. International Journal of Computer Vision
  12. The VIA Annotation Software for Images, Audio and Video (2019)
    Abhishek Dutta, Andrew Zisserman arXiv (Cornell University)
  13. Geometric invariance in computer vision (1992)
    Joseph L. Mundy, Andrew Zisserman MIT Press eBooks
  14. Scene Classification Using a Hybrid Generative/Discriminative Approach (2008)
    Anna Bosch, Andrew Zisserman et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  15. Learning To Count Objects in Images (2010)
    Victor Lempitsky, Andrew Zisserman Oxford University Research Archive (ORA) (University of Oxford)
  16. Efficient Additive Kernels via Explicit Feature Maps (2011)
    Andrea Vedaldi, Andrew Zisserman IEEE Transactions on Pattern Analysis and Machine Intelligence
  17. Deep Audio-Visual Speech Recognition (2018)
    Triantafyllos Afouras, Joon Son Chung et al. IEEE Transactions on Pattern Analysis and Machine Intelligence
  18. Voxceleb: Large-scale speaker verification in the wild (2019)
    Arsha Nagrani, Joon Son Chung et al. Computer Speech & Language
  19. Frozen in time: A joint video and image encoder for end-to-end retrieval (2022)
    Max Bain, Arsha Nagrani et al. Oxford University Research Archive (ORA) (University of Oxford)

Immediate Impact

11 by Nobel laureates 11 from Science/Nature 196 standout
Sub-graph 1 of 20

Citing Papers

DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis
2023 Standout
Perspectives in machine learning for wildlife conservation
2022 Standout
18 intermediate papers

Works of Andrew Zisserman being referenced

Chimpanzee face recognition from videos in the wild using deep learning
2019
The Pascal Visual Object Classes (VOC) Challenge
2009 Standout
and 5 more

Author Peers

Author Last Decade Papers Cites
Andrew Zisserman 48425 17829 3928 10186 245 73.1k
Xiangyu Zhang 55758 32544 5631 6843 121 107.1k
Jian Sun 50466 30878 5286 5983 46 98.5k
Li Fei-Fei 33196 21484 2671 2589 211 56.8k
Yann LeCun 28495 32356 5620 3688 101 94.7k
Luc Van Gool 34088 8604 1542 8119 591 44.2k
Yoshua Bengio 36948 48245 8656 4153 298 127.8k
Ross Girshick 31432 10012 888 6045 30 48.5k
Ilya Sutskever 23870 26901 4338 2803 33 68.3k
David Lowe 23471 4123 1567 10340 285 42.1k
Geoffrey E. Hinton 53749 68735 15527 6638 197 191.0k

All Works

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Rankless by CCL
2026