Alex Kendall

Generating author description...

All published works

Action	Title	Year	Authors
+	Linking vision and motion for self-supervised object-centric perception	2023	Kaylene C. Stocking Zak Murez Vijay Badrinarayanan Jamie Shotton Alex Kendall Claire J. Tomlin Christopher Burgess
+	GAIA-1: A Generative World Model for Autonomous Driving	2023	Anthony Hu Lloyd Russell Hudson Yeo Zak Murez G. A. Fedoseev Alex Kendall Jamie Shotton Gianluca Corrado
+	LingoQA: Video Question Answering for Autonomous Driving	2023	Ana-Maria Marcu Long Chen Jan Hünermann Alice Karnsund Benoit Hanotte Prajwal Chidananda Saurabh Nair Vijay Badrinarayanan Alex Kendall Jamie Shotton
+	Model-Based Imitation Learning for Urban Driving	2022	Anthony Hu Gianluca Corrado Nicolas Griffiths Zak Murez Corina Gurău Hudson Yeo Alex Kendall Roberto Cipolla Jamie Shotton
+ PDF Chat	FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras	2021	Anthony Hu Zak Murez Nikhil Mohan Sofía Dudas Jeffrey Hawke Vijay Badrinarayanan Roberto Cipolla Alex Kendall
+ PDF Chat	Video Class Agnostic Segmentation Benchmark for Autonomous Driving	2021	Mennatullah Siam Alex Kendall Martin Jägersand
+	Video Class Agnostic Segmentation Benchmark for Autonomous Driving	2021	Mennatullah Siam Alex Kendall Martin Jägersand
+	FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras	2021	Anthony Hu Zak Murez Nikhil Mohan Sofía Dudas Jeffrey Hawke Vijay Badrinarayanan Roberto Cipolla Alex Kendall
+	Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving	2021	Mennatullah Siam Alex Kendall Martin Jägersand
+	Reimagining an autonomous vehicle	2021	Jeffrey Hawke E Haibo Vijay Badrinarayanan Alex Kendall
+	Video Class Agnostic Segmentation Benchmark for Autonomous Driving	2021	Mennatullah Siam Alex Kendall Martin Jägersand
+	Probabilistic Future Prediction for Video Scene Understanding	2020	Anthony Hu Fergal Cotter Nikhil Mohan Corina Gurău Alex Kendall
+ PDF Chat	Probabilistic Future Prediction for Video Scene Understanding	2020	Anthony Hu Fergal Cotter Nikhil Mohan Corina Gurău Alex Kendall
+	Urban Driving with Conditional Imitation Learning	2019	Jeffrey Hawke Richard Shen Corina Gurău Siddharth Sharma Daniele Reda Nikolay Nikolov P. Mazur Sean Micklethwaite Nicolas Griffiths Amar Shah
+ PDF Chat	Learning to Drive from Simulation without Real World Labels	2019	Alex Bewley Jessica Rigley Yuxuan Liu Jeffrey Hawke Richard Shen Vinh-Dieu Lam Alex Kendall
+	Learning a Spatio-Temporal Embedding for Video Instance Segmentation	2019	Anthony Hu Alex Kendall Roberto Cipolla
+	Urban Driving with Conditional Imitation Learning	2019	Jeffrey Hawke Richard Shen Corina Gurău Siddharth Sharma Daniele Reda Nikolay Nikolov P. Mazur Sean Micklethwaite Nicolas Griffiths Anoop Shah
+	Learning to Drive from Simulation without Real World Labels	2018	Alex Bewley Jessica Rigley Yuxuan Liu Jeffrey Hawke Richard Shen Vinh-Dieu Lam Alex Kendall
+	Orthographic Feature Transform for Monocular 3D Object Detection	2018	Thomas Roddick Alex Kendall Roberto Cipolla
+	Learning to Drive in a Day	2018	Alex Kendall Jeffrey Hawke David M. Janz P. Mazur Daniele Reda John-Mark Allen Vinh-Dieu Lam Alex Bewley Amar Shah
+ PDF Chat	Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	2018	Roberto Cipolla Yarin Gal Alex Kendall
+	Learning to Drive from Simulation without Real World Labels	2018	Alex Bewley Jessica K. Rigley Yuxuan Liu Jeffrey Hawke Richard Shen Vinh-Dieu Lam Alex Kendall
+	Orthographic Feature Transform for Monocular 3D Object Detection	2018	Thomas Roddick Alex Kendall Roberto Cipolla
+	Learning to Drive in a Day	2018	Alex Kendall Jeffrey Hawke David M. Janz P. Mazur Daniele Reda John-Mark A. Allen Vinh-Dieu Lam Alex Bewley Anoop Shah
+ PDF Chat	End-to-End Learning of Geometry and Context for Deep Stereo Regression	2017	Alex Kendall Hayk Martirosyan Saumitro Dasgupta Peter Henry Ryan Kennedy Abraham Bachrach Adam Bry
+ PDF Chat	Geometric Loss Functions for Camera Pose Regression with Deep Learning	2017	Alex Kendall Roberto Cipolla
+	Concrete Dropout	2017	Yarin Gal Jiri Hron Alex Kendall
+	Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	2017	Alex Kendall Yarin Gal Roberto Cipolla
+	Geometric Loss Functions for Camera Pose Regression with Deep Learning	2017	Alex Kendall Roberto Cipolla
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision	2017	Alex Kendall Yarin Gal
+	End-to-End Learning of Geometry and Context for Deep Stereo Regression	2017	Alex Kendall Hayk Martirosyan Saumitro Dasgupta Peter Henry Ryan Kennedy Abraham Bachrach Adam Bry
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal
+ PDF Chat	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla
+	Geometric Loss Functions for Camera Pose Regression with Deep Learning	2017	Alex Kendall Roberto Cipolla
+	Concrete Dropout	2017	Yarin Gal Jiri Hron Alex Kendall
+	End-to-End Learning of Geometry and Context for Deep Stereo Regression	2017	Alex Kendall Հայկ Մարտիրոսյան Saumitro Dasgupta Peter Henry Ryan David Kennedy Abraham Bachrach Adam Bry
+	Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	2017	Alex Kendall Yarin Gal Roberto Cipolla
+ PDF Chat	Modelling uncertainty in deep learning for camera relocalization	2016	Alex Kendall Roberto Cipolla
+ PDF Chat	PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization	2015	Alex Kendall Matthew Koichi Grimes Roberto Cipolla
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2015	Vijay Badrinarayanan Alex Kendall Roberto Cipolla
+	Modelling Uncertainty in Deep Learning for Camera Relocalization	2015	Alex Kendall Roberto Cipolla
+	Convolutional networks for real-time 6-DOF camera relocalization.	2015	Alex Kendall Matthew Koichi Grimes Roberto Cipolla
+	PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization	2015	Alex Kendall Matthew Koichi Grimes Roberto Cipolla
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2015	Vijay Badrinarayanan Alex Kendall Roberto Cipolla
+	Modelling Uncertainty in Deep Learning for Camera Relocalization	2015	Alex Kendall Roberto Cipolla
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2015	Alex Kendall Vijay Badrinarayanan Roberto Cipolla
+	PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization	2015	Alex Kendall Matthew Grimes Roberto Cipolla

Common Coauthors

Coauthor	Papers Together
Roberto Cipolla	24
Vijay Badrinarayanan	10
Jeffrey Hawke	10
Yarin Gal	7
Anthony Hu	7
Vinh-Dieu Lam	5
Alex Bewley	5
Corina Gurău	5
Zak Murez	5
Jamie Shotton	4
Daniele Reda	4
P. Mazur	4
Nikhil Mohan	4
Mennatullah Siam	4
Martin Jägersand	4
Richard Shen	3
Saumitro Dasgupta	3
Adam Bry	3
Abraham Bachrach	3
Matthew Koichi Grimes	3
Nicolas Griffiths	3
Gianluca Corrado	2
Thomas Roddick	2
Jessica Rigley	2
Hudson Yeo	2
Sean Micklethwaite	2
David M. Janz	2
Hayk Martirosyan	2
Sofía Dudas	2
Peter Henry	2
Anoop Shah	2
Jiri Hron	2
Fergal Cotter	2
Ryan Kennedy	2
Yuxuan Liu	2
Siddharth Sharma	2
Amar Shah	2
Richard Shen	2
Claire J. Tomlin	1
Ana-Maria Marcu	1
Ryan David Kennedy	1
Yuxuan Liu	1
John-Mark A. Allen	1
Kaylene C. Stocking	1
G. A. Fedoseev	1
Matthew Grimes	1
Lloyd Russell	1
E Haibo	1
Peter Henry	1
Benoit Hanotte	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	13
+	SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	2017	Vijay Badrinarayanan A. C. Kendall Roberto Cipolla	8
+ PDF Chat	Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics	2018	Roberto Cipolla Yarin Gal Alex Kendall	7
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	6
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	6
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	5
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	5
+	End to End Learning for Self-Driving Cars	2016	Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Müller Jiakai Zhang	5
+	Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference	2015	Yarin Gal Zoubin Ghahramani	5
+ PDF Chat	Video Panoptic Segmentation	2020	Dahun Kim Sanghyun Woo Joon‐Young Lee In So Kweon	5
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision	2017	Alex Kendall Yarin Gal	5
+ PDF Chat	DeepPose: Human Pose Estimation via Deep Neural Networks	2014	Alexander Toshev Christian Szegedy	5
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla	4
+ PDF Chat	PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings	2019	Nicholas Rhinehart Rowan McAllister Kris Kitani Sergey Levine	4
+	Delving Deeper into Convolutional Networks for Learning Video Representations	2015	Nicolas Ballas Li Yao Chris Pal Aaron Courville	4
+ PDF Chat	Predicting Deeper into the Future of Semantic Segmentation	2017	Pauline Luc Natalia Neverova Camille Couprie Jakob Verbeek Yann LeCun	4
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	4
+ PDF Chat	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture	2015	David Eigen Rob Fergus	4
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	4
+ PDF Chat	End-to-End Driving Via Conditional Imitation Learning	2018	Felipe Codevilla Matthias Müller Antonio M. López Vladlen Koltun Alexey Dosovitskiy	4
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	4
+	Convolutional networks for real-time 6-DOF camera relocalization.	2015	Alex Kendall Matthew Koichi Grimes Roberto Cipolla	4
+	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	4
+ PDF Chat	DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents	2017	Namhoon Lee Wongun Choi Paul Vernaza Christopher Choy Philip H. S. Torr Manmohan Chandraker	4
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	3
+ PDF Chat	Digging Into Self-Supervised Monocular Depth Estimation	2019	Clément Godard Oisin Mac Aodha Michael Firman Gabriel Brostow	3
+ PDF Chat	PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment	2019	Kaixin Wang Jun Hao Liew Yingtian Zou Daquan Zhou Jiashi Feng	3
+ PDF Chat	Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation	2016	Guosheng Lin Chunhua Shen Anton van den Hengel Ian Reid	3
+ PDF Chat	PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume	2018	Deqing Sun Xiaodong Yang Ming-Yu Liu Jan Kautz	3
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	3
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	3
+ PDF Chat	Hypercolumns for object segmentation and fine-grained localization	2015	Bharath Hariharan Pablo Arbeláez Ross Girshick Jitendra Malik	3
+	MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction	2019	Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov	3
+ PDF Chat	MOTS: Multi-Object Tracking and Segmentation	2019	Paul Voigtlaender Michael Krause Aljoša Ošep Jonathon Luiten Berin Balachandar Gnana Sekar Andreas Geiger Bastian Leibe	3
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	3
+ PDF Chat	Semantic Video CNNs Through Representation Warping	2017	Raghudeep Gadde Varun Jampani Peter Gehler	3
+	The 2018 DAVIS Challenge on Video Object Segmentation	2018	Jordi Pont-Tuset Federico Perazzi Sergi Caelles Pablo Arbeláez Alexander Sorkine‐Hornung Luc Van Gool	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	World Models	2018	David Ha Jürgen Schmidhuber	3
+	BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.	2018	Fisher Yu Wenqi Xian Yingying Chen Fangchen Liu Mike Liao Vashisht Madhavan Trevor Darrell	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Conditional Random Fields as Recurrent Neural Networks	2015	Shuai Zheng Sadeep Jayasumana Bernardino Romera‐Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip H. S. Torr	3
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	3
+ PDF Chat	DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving	2015	Chenyi Chen Ari Seff Alain L. Kornhauser Jianxiong Xiao	3
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	3
+	Modelling Uncertainty in Deep Learning for Camera Relocalization	2015	Alex Kendall Roberto Cipolla	3
+ PDF Chat	PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization	2015	Alex Kendall Matthew Koichi Grimes Roberto Cipolla	3
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	3