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Alex Kendall

Active 2011–2024

27
Papers
18,500
Citations
20
h-index
23
i10-index

Citations

Citations per year for Alex Kendall1985: 1 citations1994: 1 citations1995: 1 citations2005: 1 citations2010: 1 citations2011: 1 citations2014: 1 citations2015: 3 citations2016: 63 citations2017: 340 citations2018: 602 citations2019: 1,009 citations2020: 1,179 citations2021: 1,189 citations2022: 878 citations2023: 832 citations2024: 748 citations2025: 649 citations2026: 239 citations1986–1993: no citations, so these years are not shown1996–2004: no citations, so these years are not shown2006–2009: no citations, so these years are not shown2012–2013: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,011 citing papers, 24% of this breakdownUnited States: 1,481 citing papers, 17.7% of this breakdownUnited Kingdom: 644 citing papers, 7.7% of this breakdownGermany: 628 citing papers, 7.5% of this breakdownCanada: 277 citing papers, 3.3% of this breakdownAustralia: 276 citing papers, 3.3% of this breakdownSouth Korea: 273 citing papers, 3.3% of this breakdownFrance: 232 citing papers, 2.8% of this breakdownHong Kong: 230 citing papers, 2.7% of this breakdownJapan: 226 citing papers, 2.7% of this breakdownSwitzerland: 223 citing papers, 2.7% of this breakdownIndia: 189 citing papers, 2.3% of this breakdown
0%24%Other 20%

Institutions

Fields

  • Computer Science62.8%
  • Engineering21.6%
  • Medicine5.4%
  • Environmental Science1.8%
  • Physics and Astronomy1.6%
  • Biochemistry, Genetics and Molecular Biology1.3%
  • Other5.5%

Topics

  • Advanced Vision and Imaging8%
  • Advanced Neural Network Applications7.6%
  • Robotics and Sensor-Based Localization5.8%
  • Advanced Image and Video Retrieval Techniques4.2%
  • Domain Adaptation and Few-Shot Learning2.9%
  • Adversarial Robustness in Machine Learning2.8%
  • Other68.7%

Coauthors

All papers

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  1. GAIA-1: A Generative World Model for Autonomous Driving

    Authors: Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, Gianluca Corrado - arXiv (Cornell University), CoRR 2023 cited by 480

  2. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

    Authors: Alex Kendall, Yarin Gal - NIPS 2017 cited by 6,300

  3. End-to-End Learning of Geometry and Context for Deep Stereo Regression

    Authors: Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, Adam Bry - IEEE International Conference on Computer Vision (ICCV) 2017 cited by 1,523

  4. Geometric Loss Functions for Camera Pose Regression with Deep Learning

    Authors: Alex Kendall, Roberto Cipolla - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 794

  5. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

    Authors: Alex Kendall, Yarin Gal, Roberto Cipolla - IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 cited by 2,818

  6. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

    Authors: Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2017 cited by 1,523

  7. Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

    Authors: Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla - Procedings of the British Machine Vision Conference 2017, BMVC 2017 cited by 827

  8. Orthographic Feature Transform for Monocular 3D Object Detection

    Authors: Thomas Roddick, Alex Kendall, Roberto Cipolla - BMVC 2019 cited by 164

  9. LingoQA: Visual Question Answering for Autonomous Driving

    Authors: Ana-Maria Marcu, Long Chen, Jan Hünermann, Alice Karnsund, Benoît Hanotte, Prajwal Chidananda, Saurabh Nair, Vijay Badrinarayanan, Alex Kendall, Jamie Shotton, Elahe Arani, Oleg Sinavski - Lecture notes in computer science, ECCV (77) 2024 cited by 48

  10. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

    Authors: Alex Kendall, Matthew Grimes, Roberto Cipolla - IEEE International Conference on Computer Vision (ICCV) 2015 cited by 2,342

  11. Model-Based Imitation Learning for Urban Driving

    Authors: Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zachary Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton - NeurIPS 2022 cited by 228

  12. Learning to Drive in a Day

    Authors: Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah - International Conference on Robotics and Automation (ICRA) 2019 cited by 63

  13. FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras

    Authors: Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeffrey Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 245

  14. Concrete Dropout

    Authors: Yarin Gal, Jiri Hron, Alex Kendall - Neural Information Processing Systems, NIPS 2017 cited by 678

  15. Reimagining an autonomous vehicle

    Authors: Jeffrey Hawke, E Haibo, Vijay Badrinarayanan, Alex Kendall - arXiv (Cornell University), CoRR 2021 cited by 11

  16. Modelling Uncertainty in Deep Learning for Camera Relocalization

    Authors: Alex Kendall, Roberto Cipolla - IEEE International Conference on Robotics and Automation (ICRA) 2016 cited by 34

  17. Learning to Drive from Simulation without Real World Labels

    Authors: Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, Alex Kendall - International Conference on Robotics and Automation (ICRA) 2019 cited by 22

  18. Urban Driving with Conditional Imitation Learning

    Authors: Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall - IEEE International Conference on Robotics and Automation (ICRA) 2020 cited by 18

  19. End-to-End Learning of Geometry and Context for Deep Stereo Regression

    Authors: Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry - ICCV 2017 cited by 8

  20. Probabilistic Future Prediction for Video Scene Understanding

    Authors: Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall - Lecture notes in computer science, ECCV (16) 2020 cited by 63

  21. After the Media

    Authors: Peter Bennett, Alex Kendall, Julian McDougall - 2011 cited by 34

  22. Linking vision and motion for self-supervised object-centric perception

    Authors: Kaylene C. Stocking, Zak Murez, Vijay Badrinarayanan, Jamie Shotton, Alex Kendall, Claire J. Tomlin, Christopher P. Burgess - arXiv (Cornell University), CoRR 2023 cited by 1

  23. Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

    Authors: Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, Adrian Weller - Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017 cited by 222

  24. Geometry and uncertainty in deep learning for computer vision

    Authors: Alex Kendall - ETHOS 2017 cited by 36