Alex Kendall

发表

Modelling uncertainty in deep learning for camera relocalization

Roberto Cipolla, Alex Kendall, R. Cipolla, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Alex Kendall, Yarin Gal, Y. Gal, 2017, NIPS.

Learning to Drive in a Day

David Janz, Alex Bewley, Alex Kendall, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Concrete Dropout

Alex Kendall, Yarin Gal, Jiri Hron, 2017, NIPS.

Probabilistic Future Prediction for Video Scene Understanding

Fergal Cotter, Alex Kendall, Anthony Hu, 2020, ECCV.

Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

Roberto Cipolla, Mark van der Wilk, Adrian Weller, 2017, IJCAI.

PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Roberto Cipolla, Alex Kendall, Matthew Koichi Grimes, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

After the Media: Culture and Identity in the 21st Century

Peter Bennett, Alex Kendall, Julian McDougall, 2011 .

Learning a Spatio-Temporal Embedding for Video Instance Segmentation pdf

Roberto Cipolla, Alex Kendall, Anthony Hu, 2019, ArXiv.

The Ultra-Expansion Completion Packer Integrated with Additive Manufacturing Technology

Alex Kendall, Guijun Deng, John Wakefield, 2018 .

Learning to Drive from Simulation without Real World Labels

Alex Bewley, Yuxuan Liu, Alex Kendall, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Convolutional networks for real-time 6-DOF camera relocalization pdf

Roberto Cipolla, Alex Kendall, Matthew Koichi Grimes, 2015, ArXiv.

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Roberto Cipolla, Vijay Badrinarayanan, Alex Kendall, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Research data supporting “PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization” Trinity Great Court

Roberto Cipolla, Alex Kendall, Matthew Grimes, 2015 .

Geometric Loss Functions for Camera Pose Regression with Deep Learning

Roberto Cipolla, Alex Kendall, R. Cipolla, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Orthographic Feature Transform for Monocular 3D Object Detection

Roberto Cipolla, Alex Kendall, Thomas Roddick, 2018, BMVC.

Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

Roberto Cipolla, Alex Kendall, Yarin Gal, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

Roberto Cipolla, Mark van der Wilk, Adrian Weller, 2017, IJCAI 2017.

End-to-End Learning of Geometry and Context for Deep Stereo Regression

Alex Kendall, Saumitro Dasgupta, Hayk Martirosyan, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Urban Driving with Conditional Imitation Learning

Alex Kendall, Siddharth Sharma, Jeffrey Hawke, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Research data supporting “PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization”: Kings College

Roberto Cipolla, Alex Kendall, Matthew Grimes, 2015 .

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding pdf

Roberto Cipolla, Vijay Badrinarayanan, Alex Kendall, 2015, BMVC.

Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving pdf

Mennatullah Siam, Alex Kendall, Martin Jagersand, 2021, ArXiv.

Video Class Agnostic Segmentation Benchmark for Autonomous Driving

Mennatullah Siam, Alex Kendall, Martin Jagersand, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Research data supporting “PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization”: St Marys Church

Roberto Cipolla, Alex Kendall, Matthew Grimes, 2015 .