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ORCIDAlex Kendall
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Books and Theses
- 2019
[b1]Alex Kendall:
Geometry and uncertainty in deep learning for computer vision. University of Cambridge, UK, 2019
Journal Articles
- 2017
- [j1]Vijay Badrinarayanan
, Alex Kendall, Roberto Cipolla:
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2481-2495 (2017)
Conference and Workshop Papers
- 2022
- [c17]Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zachary Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton:
Model-Based Imitation Learning for Urban Driving. NeurIPS 2022 - 2021
- [c16]Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation Benchmark for Autonomous Driving. CVPR Workshops 2021: 2825-2834 - [c15]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. ICCV 2021: 15253-15262 - 2020
- [c14]Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall:
Probabilistic Future Prediction for Video Scene Understanding. ECCV (16) 2020: 767-785 - [c13]Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall:
Urban Driving with Conditional Imitation Learning. ICRA 2020: 251-257 - 2019
- [c12]Thomas Roddick, Alex Kendall, Roberto Cipolla:
Orthographic Feature Transform for Monocular 3D Object Detection. BMVC 2019: 285 - [c11]Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, Alex Kendall:
Learning to Drive from Simulation without Real World Labels. ICRA 2019: 4818-4824 - [c10]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. ICRA 2019: 8248-8254 - 2018
- [c9]Alex Kendall, Yarin Gal, Roberto Cipolla:
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics. CVPR 2018: 7482-7491 - 2017
- [c8]Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla:
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. BMVC 2017 - [c7]Alex Kendall, Roberto Cipolla:
Geometric Loss Functions for Camera Pose Regression with Deep Learning. CVPR 2017: 6555-6564 - [c6]Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry:
End-to-End Learning of Geometry and Context for Deep Stereo Regression. ICCV 2017: 66-75 - [c5]Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, Adrian Weller:
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. IJCAI 2017: 4745-4753 - [c4]Yarin Gal, Jiri Hron, Alex Kendall:
Concrete Dropout. NIPS 2017: 3581-3590 - [c3]Alex Kendall, Yarin Gal:
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? NIPS 2017: 5574-5584 - 2016
- [c2]Alex Kendall, Roberto Cipolla:
Modelling uncertainty in deep learning for camera relocalization. ICRA 2016: 4762-4769 - 2015
- [c1]Alex Kendall, Matthew Grimes, Roberto Cipolla:
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization. ICCV 2015: 2938-2946
Informal and Other Publications
- 2023
- [i22]Kaylene C. Stocking, Zak Murez, Vijay Badrinarayanan, Jamie Shotton, Alex Kendall, Claire J. Tomlin, Christopher P. Burgess:
Linking vision and motion for self-supervised object-centric perception. CoRR abs/2307.07147 (2023) - [i21]Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, Gianluca Corrado:
GAIA-1: A Generative World Model for Autonomous Driving. CoRR abs/2309.17080 (2023) - [i20]Ana-Maria Marcu, Long Chen, Jan Hünermann, Alice Karnsund, Benoît Hanotte, Prajwal Chidananda, Saurabh Nair, Vijay Badrinarayanan, Alex Kendall, Jamie Shotton, Oleg Sinavski:
LingoQA: Video Question Answering for Autonomous Driving. CoRR abs/2312.14115 (2023) - 2022
- [i19]Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zak Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton:
Model-Based Imitation Learning for Urban Driving. CoRR abs/2210.07729 (2022) - 2021
- [i18]Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation Benchmark for Autonomous Driving. CoRR abs/2103.11015 (2021) - [i17]Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeff Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall:
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras. CoRR abs/2104.10490 (2021) - [i16]Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving. CoRR abs/2105.03533 (2021) - [i15]Jeffrey Hawke, Haibo E, Vijay Badrinarayanan, Alex Kendall:
Reimagining an autonomous vehicle. CoRR abs/2108.05805 (2021) - 2020
- [i14]Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall:
Probabilistic Future Prediction for Video Scene Understanding. CoRR abs/2003.06409 (2020) - 2019
- [i13]Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall:
Urban Driving with Conditional Imitation Learning. CoRR abs/1912.00177 (2019) - [i12]Anthony Hu, Alex Kendall, Roberto Cipolla:
Learning a Spatio-Temporal Embedding for Video Instance Segmentation. CoRR abs/1912.08969 (2019) - 2018
- [i11]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. CoRR abs/1807.00412 (2018) - [i10]Thomas Roddick, Alex Kendall, Roberto Cipolla:
Orthographic Feature Transform for Monocular 3D Object Detection. CoRR abs/1811.08188 (2018) - [i9]Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, Alex Kendall:
Learning to Drive from Simulation without Real World Labels. CoRR abs/1812.03823 (2018) - 2017
- [i8]Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, Adam Bry:
End-to-End Learning of Geometry and Context for Deep Stereo Regression. CoRR abs/1703.04309 (2017) - [i7]Alex Kendall, Yarin Gal:
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? CoRR abs/1703.04977 (2017) - [i6]Alex Kendall, Roberto Cipolla:
Geometric loss functions for camera pose regression with deep learning. CoRR abs/1704.00390 (2017) - [i5]Alex Kendall, Yarin Gal, Roberto Cipolla:
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics. CoRR abs/1705.07115 (2017) - 2015
- [i4]Alex Kendall, Matthew Grimes, Roberto Cipolla:
Convolutional networks for real-time 6-DOF camera relocalization. CoRR abs/1505.07427 (2015) - [i3]Alex Kendall, Roberto Cipolla:
Modelling Uncertainty in Deep Learning for Camera Relocalization. CoRR abs/1509.05909 (2015) - [i2]Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla:
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. CoRR abs/1511.00561 (2015) - [i1]Alex Kendall, Vijay Badrinarayanan, Roberto Cipolla:
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. CoRR abs/1511.02680 (2015)
Coauthor Index
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