PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization. - Alex Kendall; Matthew Grimes; Roberto Cipolla (ICCV, 2015)

Convolutional networks for real-time 6-DOF camera relocalization. - Alex Kendall; Matthew Grimes; Roberto Cipolla (CoRR, 2015)

Modelling uncertainty in deep learning for camera relocalization. - Alex Kendall; Roberto Cipolla (ICRA, 2016)

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. - Alex Kendall; Vijay Badrinarayanan; Roberto Cipolla (BMVC, 2017)

Geometric Loss Functions for Camera Pose Regression with Deep Learning. - Alex Kendall; Roberto Cipolla (CVPR, 2017)

End-to-End Learning of Geometry and Context for Deep Stereo Regression. - Alex Kendall; Hayk Martirosyan; Saumitro Dasgupta; Peter Henry (ICCV, 2017)

Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. - Rowan McAllister; Yarin Gal; Alex Kendall; Mark van der Wilk; Amar Shah 001; Roberto Cipolla; Adrian Weller (IJCAI, 2017)

Concrete Dropout. - Yarin Gal; Jiri Hron; Alex Kendall (NIPS, 2017)

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? - Alex Kendall; Yarin Gal (NIPS, 2017)

End-to-End Learning of Geometry and Context for Deep Stereo Regression. - Alex Kendall; Hayk Martirosyan; Saumitro Dasgupta; Peter Henry; Ryan Kennedy; Abraham Bachrach; Adam Bry (CoRR, 2017)

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. - Vijay Badrinarayanan; Alex Kendall; Roberto Cipolla (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics. - Alex Kendall; Yarin Gal; Roberto Cipolla (CVPR, 2018)

Orthographic Feature Transform for Monocular 3D Object Detection. - Thomas Roddick; Alex Kendall; Roberto Cipolla (BMVC, 2019)

Learning to Drive from Simulation without Real World Labels. - Alex Bewley; Jessica Rigley; Yuxuan Liu 003; Jeffrey Hawke; Richard Shen; Vinh-Dieu Lam; Alex Kendall (ICRA, 2019)

Learning to Drive in a Day. - Alex Kendall; Jeffrey Hawke; David Janz; Przemyslaw Mazur; Daniele Reda; John-Mark Allen; Vinh-Dieu Lam; Alex Bewley; Amar Shah 001 (ICRA, 2019)

Learning a Spatio-Temporal Embedding for Video Instance Segmentation. - Anthony Hu 001; Alex Kendall; Roberto Cipolla (CoRR, 2019)

Geometry and uncertainty in deep learning for computer vision. - Alex Kendall (2019)

Probabilistic Future Prediction for Video Scene Understanding. - Anthony Hu 001; Fergal Cotter; Nikhil Mohan; Corina Gurau; Alex Kendall (ECCV (16), 2020)

Urban Driving with Conditional Imitation Learning. - Jeffrey Hawke; Richard Shen; Corina Gurau; Siddharth Sharma; Daniele Reda; Nikolay Nikolov; Przemyslaw Mazur; Sean Micklethwaite; Nicolas Griffiths; Amar Shah 001; Alex Kendall (ICRA, 2020)

Video Class Agnostic Segmentation Benchmark for Autonomous Driving. - Mennatullah Siam; Alex Kendall; Martin Jägersand (CVPR Workshops, 2021)

FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras. - Anthony Hu 001; Zak Murez; Nikhil Mohan; Sofía Dudas; Jeffrey Hawke; Vijay Badrinarayanan; Roberto Cipolla; Alex Kendall (ICCV, 2021)

Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving. - Mennatullah Siam; Alex Kendall; Martin Jägersand (CoRR, 2021)

Reimagining an autonomous vehicle. - Jeffrey Hawke; Haibo E; Vijay Badrinarayanan; Alex Kendall (CoRR, 2021)

Model-Based Imitation Learning for Urban Driving. - Anthony Hu 001; Gianluca Corrado; Nicolas Griffiths; Zachary Murez; Corina Gurau; Hudson Yeo; Alex Kendall; Roberto Cipolla; Jamie Shotton (NeurIPS, 2022)

Model-Based Imitation Learning for Urban Driving. - Anthony Hu 001; Gianluca Corrado; Nicolas Griffiths; Zak Murez; Corina Gurau; Hudson Yeo; Alex Kendall; Roberto Cipolla; Jamie Shotton (CoRR, 2022)

Linking vision and motion for self-supervised object-centric perception. - Kaylene C. Stocking; Zak Murez; Vijay Badrinarayanan; Jamie Shotton; Alex Kendall; Claire J. Tomlin; Christopher P. Burgess (CoRR, 2023)

GAIA-1: A Generative World Model for Autonomous Driving. - Anthony Hu 001; Lloyd Russell; Hudson Yeo; Zak Murez; George Fedoseev; Alex Kendall; Jamie Shotton; Gianluca Corrado (CoRR, 2023)

LingoQA: Video Question Answering for Autonomous Driving. - Ana-Maria Marcu; Long Chen 015; Jan Hünermann; Alice Karnsund; Benoît Hanotte; Prajwal Chidananda; Saurabh Nair; Vijay Badrinarayanan; Alex Kendall; Jamie Shotton; Oleg Sinavski (CoRR, 2023)

LingoQA: Visual Question Answering for Autonomous Driving. - Ana-Maria Marcu; Long Chen 015; Jan Hünermann; Alice Karnsund; Benoît Hanotte; Prajwal Chidananda; Saurabh Nair; Vijay Badrinarayanan; Alex Kendall; Jamie Shotton; Elahe Arani; Oleg Sinavski (ECCV (77), 2024)