Paul Newman

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 147

Top Venues

Publications

David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini
Masked γ-SSL: Learning Uncertainty Estimation via Masked Image Modeling. ICRA (2024)
Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. CoRR (2024)
David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling. CoRR (2024)
Matthew Gadd, Daniele De Martini, Luke Pitt, Wayne Tubby, Matthew Towlson, Chris Prahacs, Oliver Bartlett, John Jackson, Man Qi, Paul Newman, Andrew Hector, Roberto Salguero-Gómez, Nick Hawes
Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring. CoRR (2024)
Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model. CoRR (2024)
David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data. CoRR (2024)
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields. IEEE Robotics Autom. Lett. 9 (3) (2024)
David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation From Unlabeled Data. IEEE Trans. Robotics 40 (2024)
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul Newman
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. ICRA (2024)
Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. ICRA (2024)
Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze
OORD: The Oxford Offroad Radar Dataset. CoRR (2024)
Matthew Gadd, Paul Newman
Open-RadVLAD: Fast and Robust Radar Place Recognition. CoRR (2024)
Jianhao Yuan, Paul Newman, Matthew Gadd
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. CoRR (2023)
Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. CoRR (2023)
Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations. CoRR (2023)
Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations. CVPR (2023)
Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini
Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network. CoRR (2023)
Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. IROS (2023)
Tim Yuqing Tang, Daniele De Martini, Paul Newman
Point-based metric and topological localisation between lidar and overhead imagery. Auton. Robots 47 (5) (2023)
Fraser Rennie, David S. W. Williams, Paul Newman, Daniele De Martini
Doppler-Aware Odometry from FMCW Scanning Radar. ITSC (2023)
Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman
What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation. CoRR (2023)
Fraser Rennie, David S. W. Williams, Paul Newman, Daniele De Martini
Doppler-aware Odometry from FMCW Scanning Radar. CoRR (2023)
Jianhao Yuan, Paul Newman, Matthew Gadd
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. IROS (2023)
Michael Tanner, Pedro Piniés, Lina María Paz, Stefan Saftescu, Alex Bewley, Emil T. Jonasson, Paul Newman
Large-scale outdoor scene reconstruction and correction with vision. Int. J. Robotics Res. 41 (6) (2022)
Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry. CoRR (2022)
Letizia Marchegiani, Paul Newman
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. IROS (2022)
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
Depth-SIMS: Semi-Parametric Image and Depth Synthesis. ICRA (2022)
Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. ICRA (2022)
Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. CoRR (2022)
Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. CoRR (2022)
Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
Depth-SIMS: Semi-Parametric Image and Depth Synthesis. CoRR (2022)
Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman
What Goes Around: Leveraging a Constant-Curvature Motion Constraint in Radar Odometry. IEEE Robotics Autom. Lett. 7 (3) (2022)
Tim Y. Tang, Daniele De Martini, Paul Newman
Get to the Point: Learning Lidar Place Recognition and Metric Localisation Using Overhead Imagery. Robotics: Science and Systems (2021)
Matthew Gadd, Daniele De Martini, Paul Newman
Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos. CoRR (2021)
Valentina Musat, Ivan Fursa, Paul Newman, Fabio Cuzzolin, Andrew Bradley
Multi-weather city: Adverse weather stacking for autonomous driving. ICCVW (2021)
Stefan Saftescu, Paul Newman
Learning to Correct Reconstructions from Multiple Views. VISIGRAPP (5: VISAPP) (2021)
Matthew Gadd, Daniele De Martini, Paul Newman
Contrastive Learning for Unsupervised Radar Place Recognition. ICAR (2021)
Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
The Oxford Road Boundaries Dataset. CoRR (2021)
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization. Int. J. Robotics Res. 40 (12-14) (2021)
Stefan Saftescu, Matthew Gadd, Paul Newman
Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction. Int. J. Pattern Recognit. Artif. Intell. 35 (16) (2021)
Matthew Gadd, Daniele De Martini, Paul Newman
Contrastive Learning for Unsupervised Radar Place Recognition. CoRR (2021)
David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul Newman
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. CoRR (2021)
Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
The Oxford Road Boundaries Dataset. IV Workshops (2021)
Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. CoRR (2020)
Horia Porav, Valentina-Nicoleta Musat, Tom Bruls, Paul Newman
Rainy screens: Collecting rainy datasets, indoors. CoRR (2020)
Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. PLANS (2020)
Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. IV (2020)
David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. CoRR (2020)
Stefan Saftescu, Paul Newman
Learning to Correct 3D Reconstructions from Multiple Views. CoRR (2020)
Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. ICRA (2020)
Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. CoRR (2020)
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
Self-Supervised Localisation between Range Sensors and Overhead Imagery. Robotics: Science and Systems (2020)
Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. CoRR (2020)
Will Maddern, Geoffrey Pascoe, Matthew Gadd, Dan Barnes, Brian Yeomans, Paul Newman
Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset. CoRR (2020)
Daniele De Martini, Matthew Gadd, Paul Newman
kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation. Sensors 20 (21) (2020)
Tim Yuqing Tang, Daniele De Martini, Dan Barnes, Paul Newman
RSL-Net: Localising in Satellite Images From a Radar on the Ground. IEEE Robotics Autom. Lett. 5 (2) (2020)
Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
Self-Supervised Localisation between Range Sensors and Overhead Imagery. CoRR (2020)
Tim Y. Tang, Daniele De Martini, Dan Barnes, Paul Newman
RSL-Net: Localising in Satellite Images From a Radar on the Ground. CoRR (2020)
Simon Chadwick, Paul Newman
Radar as a Teacher: Weakly Supervised Vehicle Detection using Radar Labels. ICRA (2020)
Matthew Gadd, Daniele De Martini, Paul Newman
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. PLANS (2020)
David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. ITSC (2020)
Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. IV (2020)
Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. CoRR (2020)
Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. ICRA (2020)
Stefan Saftescu, Paul Newman
Learning Geometrically Consistent Mesh Corrections. VISIGRAPP (4: VISAPP) (2020)
Matthew Gadd, Daniele De Martini, Paul Newman
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. CoRR (2020)
Sarah Huiyi Cen, Paul Newman
Radar-only ego-motion estimation in difficult settings via graph matching. ICRA (2019)
Tarlan Suleymanov, Lars Kunze, Paul Newman
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR. CoRR (2019)
Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman
What Could Go Wrong? Introspective Radar Odometry in Challenging Environments. ITSC (2019)
Horia Porav, Tom Bruls, Paul Newman
I Can See Clearly Now : Image Restoration via De-Raining. CoRR (2019)
Sarah Huiyi Cen, Paul Newman
Radar-only ego-motion estimation in difficult settings via graph matching. CoRR (2019)
Tom Bruls, Horia Porav, Lars Kunze, Paul Newman
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation. CoRR (2019)
Horia Porav, Tom Bruls, Paul Newman
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation. ITSC (2019)
Stephen Kyberd, Jonathan Attias, Peter Get, Paul Murcutt, Chris Prahacs, Matthew Towlson, Simon Venn, Andreia Vasconcelos, Matthew Gadd, Daniele De Martini, Paul Newman
The Hulk: Design and Development of a Weather-Proof Vehicle for Long-Term Autonomy in Outdoor Environments. FSR (2019)
Horia Porav, Valentina Musat, Paul Newman
Reducing Steganography In Cycle-consistency GANs. CVPR Workshops (2019)
Horia Porav, Tom Bruls, Paul Newman
I Can See Clearly Now: Image Restoration via De-Raining. ICRA (2019)
Simon Chadwick, Will Maddern, Paul Newman
Distant Vehicle Detection Using Radar and Vision. CoRR (2019)
Horia Porav, Paul Newman
Imminent Collision Mitigation with Reinforcement Learning and Vision. CoRR (2019)
Stefan Saftescu, Paul Newman
Learning Geometrically Consistent Mesh Corrections. CoRR (2019)
Simon Chadwick, Paul Newman
Training Object Detectors With Noisy Data. CoRR (2019)
Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner
Probably Unknown: Deep Inverse Sensor Modelling Radar. ICRA (2019)
Tom Bruls, Horia Porav, Lars Kunze, Paul Newman
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation. ITSC (2019)
Tarlan Suleymanov, Lars Kunze, Paul Newman
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR. ITSC (2019)
Horia Porav, Tom Bruls, Paul Newman
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation. CoRR (2019)
Simon Chadwick, Will Maddern, Paul Newman
Distant Vehicle Detection Using Radar and Vision. ICRA (2019)
Simon Chadwick, Paul Newman
Training Object Detectors With Noisy Data. IV (2019)
Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. CoRR (2019)
Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman
Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision. ICRA (2019)
Tom Bruls, Horia Porav, Lars Kunze, Paul Newman
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping. IV (2019)
Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner
Probably Unknown: Deep Inverse Sensor Modelling In Radar. CoRR (2018)
Letizia Marchegiani, Paul Newman
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes. CoRR (2018)
Horia Porav, Will Maddern, Paul Newman
Adversarial Training for Adverse Conditions: Robust Metric Localisation using Appearance Transfer. CoRR (2018)
Paul Amayo, Pedro Pinies, Lina María Paz, Paul Newman
Fast Global Labelling for Depth-Map Improvement Via Architectural Priors. ICRA (2018)
Kevin M. Judd, Jonathan D. Gammell, Paul Newman
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. CoRR (2018)
Morteza Lahijanian, María Svorenová, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska
Resource-Performance Tradeoff Analysis for Mobile Robots. IEEE Robotics Autom. Lett. 3 (3) (2018)
Rowan Border, Jonathan D. Gammell, Paul Newman
Surface Edge Explorer (see): Planning Next Best Views Directly from 3D Observations. ICRA (2018)
Paul Amayo, Pedro Piniés, Lina María Paz, Paul Newman
Geometric Multi-Model Fitting With a Convex Relaxation Algorithm. CVPR (2018)
Kevin M. Judd, Jonathan D. Gammell, Paul Newman
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. IROS (2018)
Michael Tanner, Stefan Saftescu, Alex Bewley, Paul Newman
Meshed Up: Learnt Error Correction in 3D Reconstructions. ICRA (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paul Newman