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Alex Kendall
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SegNet: A deep convolutional encoder-decoder architecture for scene segmentation
V Badrinarayanan, A Kendall, R Cipolla
IEEE transactions on pattern analysis and machine intelligence, 2017
131032017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
A Kendall, Y Gal
Advances in Neural Information Processing Systems, 2017
31202017
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
A Kendall, Y Gal, R Cipolla
Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition, 2018
18622018
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
A Kendall, M Grimes, R Cipolla
Proceedings of the IEEE International Conference on Computer Vision, 2015
18492015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding.
A Kendall, V Badrinarayanan, R Cipolla
Proceedings of the British Machine Vision Conference, 2017
10542017
End-to-End Learning of Geometry and Context for Deep Stereo Regression
A Kendall, H Martirosyan, S Dasgupta, P Henry, R Kennedy, A Bachrach, ...
Proceedings of the IEEE International Conference on Computer Vision, 2017
1025*2017
Geometric loss functions for camera pose regression with deep learning
A Kendall, R Cipolla
Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition, 2017
6202017
Modelling Uncertainty in Deep Learning for Camera Relocalization
A Kendall, R Cipolla
Proceedings of the IEEE International Conference on Robotics and Automation 2016, 2015
4822015
Concrete Dropout
Y Gal, J Hron, A Kendall
Advances in Neural Information Processing Systems, 2017
4632017
Learning to Drive in a Day
A Kendall, J Hawke, D Janz, P Mazur, D Reda, JM Allen, VD Lam, ...
Proceedings of the International Conference on Robotics and Automation (ICRA), 2019
4072019
Concrete problems for autonomous vehicle safety: Advantages of Bayesian deep learning
R McAllister, Y Gal, A Kendall, M Van Der Wilk, A Shah, R Cipolla, ...
International Joint Conferences on Artificial Intelligence, Inc., 2017
2322017
Orthographic feature transform for monocular 3d object detection
T Roddick, A Kendall, R Cipolla
Proceedings of the British Machine Vision Conference (BMVC), 2019
1872019
Learning to Drive from Simulation without Real World Labels
A Bewley, J Rigley, Y Liu, J Hawke, R Shen, VD Lam, A Kendall
Proceedings of the International Conference on Robotics and Automation (ICRA), 2019
842019
On-board object tracking control of a quadcopter with monocular vision
AG Kendall, NN Salvapantula, KA Stol
2014 international conference on unmanned aircraft systems (ICUAS), 404-411, 2014
732014
Urban driving with conditional imitation learning
J Hawke, R Shen, C Gurau, S Sharma, D Reda, N Nikolov, P Mazur, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 251-257, 2020
662020
Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding. arXiv 2015
A Kendall, V Badrinarayanan, R Cipolla
arXiv preprint arXiv:1511.02680, 2015
532015
A deep convolutional encoder-decoder architecture for image segmentation
V Badrinarayanan, A Kendall, RC SegNet
arXiv preprint arXiv:1511.00561 5, 2015
402015
Probabilistic future prediction for video scene understanding
A Hu, F Cotter, N Mohan, C Gurau, A Kendall
European Conference on Computer Vision, 767-785, 2020
382020
Geometry and Uncertainty in Deep Learning for Computer Vision
A Kendall
University of Cambridge, 2018
382018
FIERY: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras
A Hu, Z Murez, N Mohan, S Dudas, J Hawke, V Badrinarayanan, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
372021
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