Publications

Publications

For a complete list of publications, please refer to Google Scholar.

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PhD Thesis

Alex Kendall. Geometry and Uncertainty in Deep Learning for Computer Vision. PhD Thesis, University of Cambridge, 2017.
(.pdf) (bibtex) (source code)

@phdthesis{kendall2018phd,
  title={Geometry and Uncertainty in Deep Learning for Computer Vision},
  author={Kendall, Alex},
  year={2017},
  school={University of Cambridge}
}

2021

Jeffrey Hawke, Haibo E, Vijay Badrinarayanan and Alex Kendall. “Reimagining an Autonomous Vehicle.” arXiv preprint arXiv:2108.05805, 2021.
(.pdf) (bibtex)

@article{hawke2021reimagining,
  title={Reimagining an Autonomous Vehicle},
  author={Hawke, Jeffrey and E, Haibo and Badrinarayanan, Vijay and Kendall, Alex},
  journal={arXiv preprint arXiv:2108.05805},
  year={2021}
}

Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeffrey Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall. “FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras.” Proceedings of the International Conference on Computer Vision (ICCV), 2021.
(Oral) (.pdf) (code) (bibtex)

@article{hu2021fiery,
  title={FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras},
  author={Hu, Anthony and Murez, Zak and Mohan, Nikhil and Dudas, Sofía and Hawke, Jeffrey and Badrinarayanan, Vijay and Cipolla, Roberto and Kendall, Alex},
  booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
  year={2021}
}

2020

Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall. “Probabilistic Future Prediction for Video Scene Understanding.” European Conference on Computer Vision (ECCV), 2020.
(.pdf) (bibtex)

@article{hu2020probabilistic,
  title={Probabilistic Future Prediction for Video Scene Understanding},
  author={Hu, Anthony and Cotter, Fergal and Mohan, Nikhil and Gurau, Corina and Kendall, Alex},
  booktitle={European Conference on Computer Vision ({ECCV})},
  year={2020}
}

Anthony Hu, Alex Kendall and Roberto Cipolla. “Learning a Spatio-Temporal Embedding for Video Instance Segmentation.” arXiv preprint arXiv:1912.08969 (2020).
(.pdf) (bibtex)

@article{hu2020videoinstance,
  title={Learning a Spatio-Temporal Embedding for Video Instance Segmentation},
  author={Hu, Anthony and Kendall, Alex and Cipolla, Roberto},
  journal={arXiv preprint arXiv:1912.08969},
  year={2020}
}

Jeffrey Hawke et al. Urban Driving with Conditional Imitation Learning. Proceedings of the International Conference on Robotics and Automation (ICRA), 2020.
(.pdf) (bibtex)

@article{hawke2019urban,
  title={Urban Driving with Conditional Imitation Learning},
  author={Hawke, Jeffrey and Shen, Richard and Gurau, Corina and Sharma, Siddharth and Reda, Daniele and Nikolov, Nikolay and Mazur, Przemyslaw and Micklethwaite, Sean and Griffiths, Nicolas and Shah, Amar and Kendall, Alex},
  booktitle={Proceedings of the International Conference on Robotics and Automation ({ICRA})},
  year={2020}
}

2019

Thomas Roddick, Alex Kendall and Roberto Cipolla. Orthographic Feature Transform for Monocular 3D Object Detection. Proceedings of the British Machine Vision Conference (BMVC), 2019.
(Oral, Best Paper Honourable Mention) (.pdf) (bibtex)

@article{roddick2018orthographic,
  title={Orthographic Feature Transform for Monocular 3D Object Detection},
  author={Roddick, Thomas and Kendall, Alex and Cipolla, Roberto},
  booktitle={Proceedings of the British Machine Vision Conference ({BMVC})},
  year={2019}
}

Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam and Alex Kendall. Learning to Drive from Simulation without Real World Labels. Proceedings of the International Conference on Robotics and Automation (ICRA), 2019.
(.pdf) (video) (blog) (bibtex)

@inproceedings{bewley2019sim2real,
  title={
Learning to Drive from Simulation without Real World Labels},
  author={Bewley, Alex and Rigley, Jessica and Liu, Yuxuan and Hawke, Jeffrey and Shen, Richard and Lam, Vinh-Dieu and Kendall, Alex},
  booktitle={Proceedings of the International Conference on Robotics and Automation ({ICRA})},
  year={2019}
}

Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah. Learning to Drive in a Day. Proceedings of the International Conference on Robotics and Automation (ICRA), 2019.
(.pdf) (video) (blog) (bibtex)

@inproceedings{kendall2019learning,
  title={Learning to Drive in a Day},
  author={Kendall, Alex and Hawke, Jeffrey and Janz, David and Mazur, Przemyslaw and Reda, Daniele and Allen, John-Mark and Lam, Vinh-Dieu and Bewley, Alex and Shah, Amar},
  booktitle={Proceedings of the International Conference on Robotics and Automation ({ICRA})},
  year={2019}
}

2018

Alex Kendall, Yarin Gal and Roberto Cipolla. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
(Spotlight Oral) (.pdf) (bibtex)

@inproceedings{kendall2017multi,
  title={Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics},
  author={Kendall, Alex and Gal, Yarin and Cipolla, Roberto},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition ({CVPR})},
  year={2018}
}

2017

Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, and Adrian Weller. Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2017.
(Special Track - AI & Autonomy) (.pdf) (Slides) (bibtex)

@inproceedings{mcallister2017av_bdl,
  title={Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning},
  author={McAllister, Rowan and Gal, Yarin and Kendall, Alex and van der Wilk, Mark and Shah, Amar and Cipolla, Roberto and Weller, Adrian},
  booktitle={International Joint Conference on Artificial Intelligence ({IJCAI})},
  year={2017}
}

Yarin Gal, Jiri Hron and Alex Kendall. Concrete Dropout. Advances in Neural Information Processing Systems (NIPS), 2017.
(.pdf) (Poster) (bibtex)

@inproceedings{gal2017concrete,
  title={Concrete Dropout},
  author={Gal, Yarin and Hron, Jiri and Kendall, Alex},
  booktitle={Advances in Neural Information Processing Systems ({NIPS})},
  year={2017}
}

Alex Kendall and Roberto Cipolla. Geometric loss functions for camera pose regression with deep learning. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
(Spotlight Oral) (.pdf) (Oral Video) (Poster) (Slides) (bibtex)

@inproceedings{kendall2017posenet,
  title={Geometric loss functions for camera pose regression with deep learning},
  author={Kendall, Alex and Cipolla, Roberto},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition ({CVPR})},
  year={2017}
}

Alex Kendall and Yarin Gal. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Advances in Neural Information Processing Systems (NIPS), 2017.
(Spotlight Oral) (.pdf) (Poster) (Slides) (bibtex)

@inproceedings{kendall2017uncertainties,
  title={What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?},
  author={Kendall, Alex and Gal, Yarin},
  booktitle={Advances in Neural Information Processing Systems ({NIPS})},
  year={2017}
}

Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, and Adam Bry. End-to-End Learning of Geometry and Context for Deep Stereo Regression. Proceedings of the International Conference on Computer Vision (ICCV), 2017.
(Spotlight Oral) (.pdf) (Poster) (bibtex)

@inproceedings{kendall2017end,
  title={End-to-End Learning of Geometry and Context for Deep Stereo Regression},
  author={Kendall, Alex and Martirosyan, Hayk and Dasgupta, Saumitro and Henry, Peter and Kennedy, Ryan and Bachrach, Abraham and Bry, Adam},
  booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
  year={2017}
}

Vijay Badrinarayanan, Alex Kendall and Roberto Cipolla. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. PAMI, 2017.
(.pdf) (bibtex) (Webpage)

@article{badrinarayanan2017segnet,
  title={SegNet: A Deep Convolutional Encoder-Decoder Architecture for Scene Segmentation},
  author={Badrinarayanan, Vijay and Kendall, Alex and Cipolla, Roberto},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2017},
  publisher={IEEE}
}

2016

Alex Kendall and Roberto Cipolla. Modelling Uncertainty in Deep Learning for Camera Relocalization. Proceedings of the International Conference on Robotics and Automation (ICRA), 2016.
(.pdf) (bibtex) (Webpage)

@inproceedings{kendall2015modelling,
  title={Modelling Uncertainty in Deep Learning for Camera Relocalization},
  author={Kendall, Alex and Cipolla, Roberto},
  booktitle={Proceedings of the International Conference on Robotics and Automation ({ICRA})},
  year={2016}
}

2015

Alex Kendall, Matthew Grimes and Roberto Cipolla. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization. Proceedings of the International Conference on Computer Vision (ICCV), 2015.
(.pdf) (bibtex) (Webpage)

@inproceedings{kendall2015convolutional,
  title={PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization},
  author={Kendall, Alex and Grimes, Matthew and Cipolla, Roberto},
  booktitle = {Proceedings of the International Conference on Computer Vision ({ICCV})},
  year={2015}
}

Alex Kendall, Vijay Badrinarayanan and Roberto Cipolla. Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. Proceedings of the British Machine Vision Conference (BMVC), 2017.
(.pdf) (poster) (bibtex) (Webpage)

@inproceedings{kendall2015bayesian,
  title={Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding},
  author={Kendall, Alex and Badrinarayanan, Vijay and and Cipolla, Roberto},
  booktitle={Proceedings of the British Machine Vision Conference ({BMVC})},
  year={2017}
}

2014

Kendall, Alex G., Nishaad N. Salvapantula, and Karl A. Stol. On-board object tracking control of a quadcopter with monocular vision. Unmanned Aircraft Systems (ICUAS), 2014 International Conference on. IEEE, 2014.
(.pdf) (bibtex)

@inproceedings{kendall2014board,
  title={On-board object tracking control of a quadcopter with monocular vision},
  author={Kendall, Alex G and Salvapantula, Nishaad N and Stol, Karl A},
  booktitle={Unmanned Aircraft Systems ({ICUAS}), 2014 International Conference on},
  pages={404--411},
  year={2014},
  organization={IEEE}
}