Martin Engelcke, Oiwi Parker Jones, Ingmar Posner, "GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement", arXiv preprint: 2104.09958.
Rob Weston, Oiwi Parker-Jones, Ingmar Posner, "There and Back Again: Learning to Simulate Radar For Real World Applications", IEEE Intl. Conf. on Robotics and Automation (ICRA), 2021.
Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner, "Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives", IEEE Intl. Conf. on Robotics and Automation (ICRA), 2021.
Chia-Man Hung, Li Sun, Yizhe Wu, Ioannis Havoutis, Ingmar Posner, "Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery", IEEE Intl. Conf. on Robotics and Automation (ICRA), 2021.
2020
D. Barnes, M. Gadd, P. Murcutt, P. Newman, and I. Posner, “The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020. [Bibtex]
M. Engelcke, A. R. Kosiorek, O. Parker Jones, and I. Posner, “GENESIS: Generative Scene Inference and Sampling of Object-Centric Latent Representations,”International Conference on Learning Representations (ICLR), 2020. [Bibtex]
D. Barnes and I. Posner, “Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020. [Bibtex]
O. Groth, C. Hung, A. Vedaldi, and I. Posner, “Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives,”ArXiv, 2020. [Bibtex]
A. L. Mitchell, M. Engelcke, O. Parker Jones, D. Surovik, I. Havoutis, and I. Posner, “First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion,”International Conference on Intelligent Robots and Systems (IROS), 2020. [Bibtex]
S. Ehrhardt, O. Groth, A. Monszpart, M. Engelcke, I. Posner, N. Mitra, and A. Vedaldi, “RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces,”Conference on Neural Information Processing Systems (NeurIPS), 2020. [Bibtex]
Y. Wu, S. Kasewa, O. Groth, S. Slater, L. Sun, O. Parker Jones, and I. Posner, “Learning Affordances in Object-Centric Generative Models,”International Conference on Machine Learning (ICML), Workshop on Object-Oriented Learning, 2020. [Bibtex]
M. Engelcke, O. Parker Jones, and I. Posner, “Reconstruction Bottlenecks in Object-Centric Generative Models,”International Conference on Machine Learning (ICML), Workshop on Object-Oriented Learning, 2020. [Bibtex]
2019
E. Wagstaff, F. Fuchs, M. Engelcke, I. Posner, and M. A. Osborne, “On the Limitations of Representing Functions on Sets,” inProceedings of the 36th International Conference on Machine Learning, Long Beach, California, USA, 2019, p. 6487–6494. [Bibtex]
R. Weston, S. Cen, P. Newman, and I. Posner, “Probably Unknown: Deep Inverse Sensor Modelling Radar,” inIEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019. [Bibtex]
D. Barnes, R. Weston, and I. Posner, “Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information,” inConference on Robot Learning (CoRL), 2019. [Bibtex]
Y. Wu, S. Kasewa, O. Groth, S. Salter, L. Sun, O. Parker Jones, and I. Posner, “Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks,”arXiv preprint arXiv:1909.13561, 2019. [Bibtex]
F. Fuchs, A. Kosiorek, L. Sun, O. Parker Jones, and I. Posner, “End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning,” inSets and Parts Workshop at the Conference on Neural Information Processing Systems (NeurIPS), 2019. [Bibtex]
F. Fuchs, O. Groth, A. Kosiorek, A. Bewley, M. Wulfmeier, A. Vedaldi, and I. Posner, “Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes,” inProceedings of the British Machine Vision Conference (BMVC), 2019. [Bibtex]
2018
C. Gurau, A. Bewley, and I. Posner, “Dropout Distillation for Efficiently Estimating Model Confidence,”arXiv preprint arXiv:1809.10562, 2018. [Bibtex]
L. Marchegiani and I. Posner, “Long-Term Driving Behaviour Modelling for Driver Identification,” inIEEE International Conference on Intelligent Transportation Systems (ITSC), Maui, Hawaii, USA, 2018. [Bibtex]
O. Groth, F. B. Fuchs, I. Posner, and A. Vedaldi, “ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking,” inThe European Conference on Computer Vision (ECCV), 2018. [Bibtex]
A. R. Kosiorek, H. Kim, I. Posner, and Y. W. Teh, “Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects,”arXiv preprint arXiv:1806.01794, 2018. [Bibtex]
D. Barnes, W. Maddern, G. Pascoe, and I. Posner, “Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Brisbane, 2018. [Bibtex]
K. Shiarlis, M. Wulfmeier, S. Salter, S. Whiteson, and I. Posner, “TACO: Learning Task Decomposition via Temporal Alignment for Control,”Proceedings of the 35th International Conference on Machine Learning, 2018. [Bibtex]
M. Wulfmeier, A. Bewley, and I. Posner, “Incremental Adversarial Domain Adaptation for Continually Changing Environments,” inIEEE International Conference on Robotics and Automation (ICRA), 2018. [Bibtex]
2017
N. Dhir, A. R. Kosiorek, and I. Posner, “Bayesian Delay Embeddings for Dynamical Systems,” inNIPS Timeseries Workshop, 2017. [Bibtex]
M. Wulfmeier, I. Posner, and P. Abbeel, “Mutual Alignment Transfer Learning,” inConference on Robot Learning, 2017. [Bibtex]
A. R. Kosiorek, A. Bewley, and I. Posner, “Hierarchical Attentive Recurrent Tracking,” inNeural Information Processing Systems, 2017. [Bibtex]
M. Wulfmeier, D. Rao, D. Z. Wang, P. Ondruska, and I. Posner, “Large-scale cost function learning for path planning using deep inverse reinforcement learning,”The International Journal of Robotics Research, p. 278364917722396, 2017. [Bibtex]
C. Gurau, D. Rao, C. H. Tong, and I. Posner, “Learn from Experience: Probabilistic Prediction of Perception Performance to Avoid Failure,”The International Journal of Robotics Research, 2017. [Bibtex]
J. Hawke, A. Bewley, and I. Posner, “What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics,” inIEEE/RSJ International Conference on Intelligent Robots and Systems, 2017. [Bibtex]
M. Wulfmeier, A. Bewley, and I. Posner, “Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation,” inIEEE/RSJ International Conference on Intelligent Robots and Systems, 2017. [Bibtex]
J. Dequaire, P. Ondrúška, D. Rao, D. Wang, and I. Posner, “Deep tracking in the wild: End-to-end tracking using recurrent neural networks,”The International Journal of Robotics Research, 2017. [Bibtex]
M. Engelcke, D. Rao, D. Zeng Wang, C. Hay Tong, and I. Posner, “Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2017. [Bibtex]
D. Barnes, W. Maddern, and I. Posner, “Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017. [Bibtex]
L. Marchegiani and I. Posner, “Leveraging the Urban Soundscape: Auditory Perception for Smart Vehicles,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017. [Bibtex]
2016
M. Wulfmeier, D. Rao, and I. Posner, “Incorporating Human Domain Knowledge into Large Scale Cost Function Learning,” inNeural Information Processing Systems Conference, Deep Reinforcement Learning Workshop, 2016. [Bibtex]
J. Dequaire, D. Rao, P. Ondruska, D. Zeng Wang, and I. Posner, “Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks,”ArXiv e-prints, 2016. [Bibtex]
O. Bartlett, C. Gurau, L. Marchegiani, and I. Posner, “Enabling Intelligent Energy Management for Robots using Publicly Available Maps,” inIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016. [Bibtex]
C. Gurau, C. H. Tong, and I. Posner, “Fit for purpose? Predicting Perception Performance based on Past Experience,” inInternational Symposium on Experimental Robotics (ISER), Tokyo, Japan, 2016. [Bibtex]
M. Wulfmeier, D. Z. Wang, and I. Posner, ” Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments ,” inIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016. [Bibtex]
P. Ondruska, J. Dequaire, D. Zeng Wang, and I. Posner, “End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks,” inRobotics: Science and Systems, Workshop on Limits and Potentials of Deep Learning in Robotics, 2016. [Bibtex]
U. Schwesinger, M. Bürki, J. Timpner, S. Rottmann, L. Wolf, L. M. Paz, H. Grimmett, I. Posner, P. Newman, C. Häne, L. Heng, G. H. Lee, T. Sattler, M. Pollefeys, M. Allodi, F. Valenti, K. Mimura, B. Goebelsmann, and R. Siegwart, “Automated Valet Parking and Charging for e-Mobility–-Results of the V-Charge Project,” inProceedings of the IEEE Intelligent Vehicles Symposium (IV), Gothenburg, Sweden, 2016. [Bibtex]
P. Ondruska, J. Dequaire, Zeng Wang Dominic, and I. Posner, “End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks,”ArXiv e-prints, 2016. [Bibtex]
J. Dequaire, C. H. Tong, W. Churchill, and I. Posner, “Off the Beaten Track: Predicting Localisation Performance in Visual Teach and Repeat,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016. [Bibtex]
T. Scott, A. A. Morye, P. Piniés, L. M. Paz, I. Posner, and P. Newman, “Choosing a Time and Place for Calibration of Lidar-Camera Systems,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016. [Bibtex]
P. Ondruska and I. Posner, “Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks,” inThe Thirtieth AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona USA, 2016. [Bibtex]
2015
B. Mathibela, P. Newman, and I. Posner, “Reading the Road: Road Marking Classification and Interpretation,”IEEE Trans. Intelligent Transportation Systems, vol. 16, iss. 4, p. 2072–2081, 2015. [Bibtex]
M. Wulfmeier, P. Ondruska, and I. Posner, “Maximum Entropy Deep Inverse Reinforcement Learning,” inNeural Information Processing Systems Conference, Deep Reinforcement Learning Workshop, Montreal, Canada, 2015. [Bibtex]
T. Scott, A. A. Morye, P. Piniés, L. M. Paz, I. Posner, and P. Newman, “Exploiting Known Unknowns: Scene Induced Cross-Calibration of Lidar-Stereo Systems,” inIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015. [Bibtex]
H. Grimmett, R. Triebel, R. Paul, and I. Posner, “Introspective Classification for Robot Perception,”International Journal of Robotics Research (IJRR), 2015. [Bibtex]
D. Barnes, W. Maddern, and I. Posner, “Exploiting 3D Semantic Scene Priors for Online Traffic Light Interpretation,” inProceedings of the IEEE Intelligent Vehicles Symposium (IV), Seoul, South Korea, 2015. [Bibtex]
J. Hawke, C. Gurau, C. H. Tong, and I. Posner, “Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception,” inField and Service Robotics (FSR), Toronto, ON, Canada, 2015. [Bibtex]
P. Nelson, W. Churchill, I. Posner, and P. Newman, “From Dusk till Dawn: Localisation at Night using Artificial Light Sources,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015. [Bibtex]
W. Churchill, C. H. Tong, C. Gurau, I. Posner, and P. Newman, “Know Your Limits: Embedding Localiser Performance Models in Teach and Repeat Maps,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015. [Bibtex]
H. Grimmett, M. Buerki, L. Paz, P. Piniés, P. Furgale, I. Posner, and P. Newman, “Integrating Metric and Semantic Maps for Vision-Only Automated Parking,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015. [Bibtex]
L. Berczi, I. Posner, and T. D. Barfoot, “Learning to Assess Terrain from Human Demonstration Using an Introspective Gaussian-Process Classifier,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015. [Bibtex]
P. Ondruska, C. Gurau, L. Marchegiani, C. H. Tong, and I. Posner, “Scheduled Perception for Energy-Efficient Path Following,” inProceedings of the IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 2015. [Bibtex]
D. Z. Wang, I. Posner, and P. Newman, “Model-Free Detection and Tracking of Dynamic Objects with 2D Lidar,”The International Journal of Robotics Research (IJRR), vol. 34, iss. 7, pp. 1039-1063, 2015. [Bibtex]
D. Z. Wang and I. Posner, “Voting for Voting in Online Point Cloud Object Detection,” inProceedings of Robotics: Science and Systems, Rome, Italy, 2015. [Bibtex]
2014
C. Gurau, J. Hawke, C. H. Tong, and I. Posner, “Learning on the Job: Improving Robot Perception Through Experience,” inNeural Information Processing Systems (NIPS) Workshop on “Autonomously Learning Robots”, Montreal, Quebec, Canada, 2014. [Bibtex]
P. Ondruska and I. Posner, “The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range,” inProceedings of the 24th International Conference on Automated Planning and Scheduling (ICAPS), Portsmouth, NH, USA, 2014. [Bibtex]
P. Ondruska and I. Posner, “Probabilistic Attainability Maps: Efficiently Predicting Driver-Specific Electric Vehicle Range,” inIEEE Intelligent Vehicles Symposium (IV), Dearborn, MI, USA, 2014. [Bibtex]
2013
P. Furgale, U. Schwesinger, M. Rufli, W. Derendarz, H. Grimmett, P. Mühlfellner, S. Wonneberger, J. T. S. Rottmann, B. Li, B. Schmidt, T. N. Nguyen, E. Cardarelli, S. Cattani, S. Brüning, S. Horstmann, M. Stellmacher, H. Mielenz, K. Köser, M. Beermann, C. Häne, L. Heng, G. H. Lee, F. Fraundorfer, R. Iser, R. Triebel, I. Posner, P. Newman, L. Wolf, M. Pollefeys, S. Brosig, J. Effertz, C. Pradalier, and R. Siegwart, “Toward Automated Driving in Cities using Close-to-Market Sensors, an Overview of the V-Charge Project,” inIEEE Intelligent Vehicles Symposium (IV), Gold Coast, Australia, 2013, p. 809–816. [Bibtex]
R. Triebel, H. Grimmett, R. Paul, and I. Posner, “Driven Learning for Driving: How Introspection Improves Semantic Mapping,” inInternational Symposium on Robotics Research (ISRR), Singapore, 2013. [Bibtex]
D. Z. Wang, I. Posner, and P. Newman, “A New Approach to Model-Free Tracking with 2D Lidar,” inProceedings of the International Symposium on Robotics Research (ISRR), Singapore, 2013. [Bibtex]
R. Triebel, H. Grimmett, R. Paul, and I. Posner, “Introspective Active Learning for Scalable Semantic Mapping,” inWorkshop on Active Learning in Robotics: Exploration, Curiosity and Interaction. Robotics Science and Systems (RSS), 2013. [Bibtex]
R. Triebel, H. Grimmett, and I. Posner, “Confidence Boosting: Improving the Introspectiveness of a Boosted Classifier for Efficient Learning,” inWorkshop on Autonomous Learing. IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, 2013. [Bibtex]
H. Grimmett, R. Paul, R. Triebel, and I. Posner, “Knowing When We Don’t Know: Introspective Classification for Mission-Critical Decision Making,” inProc. IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, 2013. [Bibtex]
2012
J. Velez, G. Hemann, A. S. Huang, I. Posner, and N. Roy, “Modelling Observation Correlations for Active Exploration and Robust Object Detection,”JAIR Journal of Artificial Intelligence Research, vol. 44, pp. 423-453, 2012. [Bibtex]
B. Mathibela, M. A. Osborne, I. Posner, and P. Newman, “Can Priors Be Trusted? Learning to Anticipate Roadworks,” inProc. IEEE Conference on Intelligent Transportation Systems (ITSC), Anchorage, AK, USA, 2012. [Bibtex]
D. Z. Wang, I. Posner, and P. Newman, “What Could Move? Finding Cars, Pedestrians and Bicyclists in 3D Laser Data,” inProc. IEEE International Conference on Robotics and Automation (ICRA), Minnesota, USA, 2012. [Bibtex]
2011
J. Velez, G. Hemann, A. S. Huang, I. Posner, and N. Roy, “Active Exploration for Robust Object Detection,” inInternational Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 2011. [Bibtex]
J. Velez, G. Hemann, A. S. Huang, I. Posner, and N. Roy, “Planning to Perceive: Exploiting Mobility For Robust Object Detection,” inInternational Conference on Automated Planning and Scheduling, Freiburg, Germany, 2011. [Bibtex]
M. Smith, I. Posner, and P. Newman, “Adaptive compression for 3D laser data,”The International Journal of Robotics Research, vol. 30, iss. 7, pp. 914-935, 2011. [Bibtex]
2010
I. Posner, P. Corke, and P. Newman, “Using Text-Spotting to Query the World,” inProc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2010. [Bibtex]
M. Smith, I. Posner, and P. Newman, “Generating Implicit Surfaces from Lidar Data,” inTowards Autonomous Robotic Systems, Plymouth, UK, 2010. [Bibtex]
M. Smith, I. Posner, and P. Newman, “Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data,” inProceedings of Robotics: Science and Systems VI, Zaragoza, Spain, 2010. [Bibtex]
2009
P. Newman, G. Sibley, M. Smith, M. Cummins, A. Harrison, C. Mei, I. Posner, R. Shade, D. Schroeter, L. Murphy, W. Churchill, D. Cole, and I. Reid, “Navigating, Recognising and Describing Urban Spaces With Vision and Laser,”The International Journal of Robotics Research, vol. 28, 2009. [Bibtex]
I. Posner, M. Cummins, and P. Newman, “A generative framework for fast urban labeling using spatial and temporal context,”Autonomous Robots, vol. 26, iss. 2-3, pp. 153-170, 2009. [Bibtex]
2008
I. Posner, M. Cummins, and P. Newman, “Fast Probabilistic Labeling of City Maps,” inProceedings of Robotics: Science and Systems IV, Zurich, Switzerland, 2008. [Bibtex]
I. Posner, D. Schroeter, and P. Newman, “Online generation of scene descriptions in urban environments,”Robotics and Autonomous Systems, vol. 56, iss. 11, pp. 901-914, 2008. [Bibtex]
2007
P. Newman, M. Chandran-Ramesh, D. Cole, M. Cummins, A. Harrison, I. Posner, and D. Schroeter, “Describing, Navigating and Recognising Urban Spaces – Building An End-to-End SLAM System,” inProc. of the Int. Symposium of Robotics Research (ISRR), Hiroshima,Japan, 2007. [Bibtex]
I. Posner, D. Schroeter, and P. Newman, “Describing Composite Urban Workspaces,” inProc. of the Int. Conference on Robotics and Automation, Rome, 2007. [Bibtex]
2006
I. Posner, D. Schroeter, and P. Newman, “Using Scene Similarity for Place Labelling,” inProc. of the Int. Symposium on Experimental Robotics, Rio, 2006. [Bibtex]
![[PDF]](/media/6492/pdf_icon_20.png)
Martin Engelcke, Oiwi Parker Jones, Ingmar Posner, "GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement", arXiv preprint: 2104.09958.![[PDF]](https://ori.ox.ac.uk/wp-content/plugins/papercite/img/pdf.png)
D. Barnes, M. Gadd, P. Murcutt, P. Newman, and I. Posner, “The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020.![[DOI]](https://ori.ox.ac.uk/wp-content/plugins/papercite/img/external.png)
M. Wulfmeier, D. Rao, D. Z. Wang, P. Ondruska, and I. Posner, “Large-scale cost function learning for path planning using deep inverse reinforcement learning,” The International Journal of Robotics Research, p. 278364917722396, 2017.