Sotabase

Career

· Deputy Director, Oxford Robotics Institute2016–
· Head of Applied AI Lab, Oxford University (Applied Artificial Intelligence Lab)2016–
· Co-founder, Oxa2014–
· Co-founder, Oxbotica2014–
· Founding Director, Oxford Robotics Institute
· Professor of Applied AI; Principal Investigator - A2I, Oxford Robotics Institute

Publications (131)

Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks
IEEE International Conference on Robotics and Automation · 2016
536
cited
Maximum Entropy Deep Inverse Reinforcement Learning
2015
436
cited
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
IEEE International Conference on Robotics and Automation · 2019
429
cited
Voting for Voting in Online Point Cloud Object Detection
Robotics: Science and Systems · 2015
375
cited
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
International Conference on Learning Representations · 2019
327
cited
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Neural Information Processing Systems · 2018
271
cited
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
AAAI Conference on Artificial Intelligence · 2016
248
cited
E(n) Equivariant Normalizing Flows
Neural Information Processing Systems · 2021
219
cited
Large-scale cost function learning for path planning using deep inverse reinforcement learning
Int. J. Robotics Res. · 2017
180
cited
On the Limitations of Representing Functions on Sets
International Conference on Machine Learning · 2019
177
cited
Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers
Int. J. Robotics Res. · 2009
147
cited
Incremental Adversarial Domain Adaptation for Continually Changing Environments
IEEE International Conference on Robotics and Automation · 2017
136
cited
Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project
2013 IEEE Intelligent Vehicles Symposium (IV) · 2013
134
cited
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Neural Information Processing Systems · 2021
132
cited
Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy
IEEE International Conference on Robotics and Automation · 2016
131
cited
Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar
IEEE International Conference on Robotics and Automation · 2020
130
cited
What could move? Finding cars, pedestrians and bicyclists in 3D laser data
IEEE International Conference on Robotics and Automation · 2012
120
cited
Watch this: Scalable cost-function learning for path planning in urban environments
IEEE/RJS International Conference on Intelligent RObots and Systems · 2016
117
cited
Deep tracking in the wild: End-to-end tracking using recurrent neural networks
Int. J. Robotics Res. · 2018
110
cited
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
European Conference on Computer Vision · 2018
108
cited
Sotabase
Ingmar Posner | Researcher Profile | Sotabase | Sotabase