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


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) (bibtex)

Alex Kendall, Yarin Gal and Roberto Cipolla. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics. arXiv preprint arXiv:1705.07115, 2017.
(.pdf) (bibtex)

Yarin Gal, Jiri Hron and Alex Kendall. Concrete Dropout. arXiv preprint arXiv:1705.07832, 2017.
(.pdf) (bibtex)

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)

Alex Kendall and Yarin Gal. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? arXiv preprint arXiv:1703.04977, 2017.
(.pdf) (bibtex)

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) (bibtex)

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


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)


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) (poster) (bibtex) (Webpage)

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) (bibtex) (Webpage)


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)