Matthew Gadd - RankMe

68 papers A* 11A 5C 2Journal 39Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robot-relay: building-wide, calibration-less visual servoing with learned sensor handover networks. Auton. Robots Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini
2024	J	`jnl`	Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling. CoRR David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini
2024	A*	`conf`	Masked γ-SSL: Learning Uncertainty Estimation via Masked Image Modeling. ICRA David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini
2024	J	`jnl`	Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation From Unlabeled Data. IEEE Trans. Robotics David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman
2024	J	`jnl`	Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data. CoRR David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman
2024	A	`conf`	NeuralFloors++: Consistent Street-Level Scene Generation From BEV Semantic Maps. IROS Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
2024	J	`jnl`	NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields. IEEE Robotics Autom. Lett. Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
2024	J	`jnl`	OORD: The Oxford Offroad Radar Dataset. CoRR 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
2024	J	`jnl`	OORD: The Oxford Offroad Radar Dataset. IEEE Trans. Intell. Transp. Syst. 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
2024	J	`jnl`	Open-RadVLAD: Fast and Robust Radar Place Recognition. CoRR Matthew Gadd, Paul Newman
2024	J	`jnl`	RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model. CoRR Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd
2024	—	`conf`	RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning. Robotics: Science and Systems Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd
2024	A*	`conf`	That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. ICRA Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini
2024	J	`jnl`	That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. CoRR Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini
2024	A*	`conf`	VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. ICRA Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul Newman
2024	J	`jnl`	VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. CoRR Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul M. Newman
2024	J	`jnl`	Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring. CoRR 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
2023	J	`jnl`	LROC-PANGU-GAN: Closing the Simulation Gap in Learning Crater Segmentation with Planetary Simulators. CoRR Jaewon La, Jaime Phadke, Matt Hutton, Marius Schwinning, Gabriele De Canio, Florian Renk, Lars Kunze, Matthew Gadd
2023	A	`conf`	Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. IROS Jianhao Yuan, Paul Newman, Matthew Gadd
2023	J	`jnl`	Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. CoRR Jianhao Yuan, Paul Newman, Matthew Gadd
2023	J	`jnl`	Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network. CoRR Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini
2023	—	`conf`	Robot-Relay: Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Networks. ISER Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini
2023	—	`conf`	SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention. ICAR Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze
2023	J	`jnl`	SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention. CoRR Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze
2023	A*	`conf`	Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations. CVPR Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini
2023	J	`jnl`	Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations. CoRR Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini
2023	A	`conf`	Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. IROS Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman
2023	J	`jnl`	Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. CoRR Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman
2023	—	`conf`	What You See Is What You Get: Experience Ranking with Deep Neural Dataset-to-Dataset Similarity for Topological Localisation. ISER Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman
2023	J	`jnl`	What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation. CoRR Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman
2022	A	`conf`	BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. IROS Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman
2022	J	`jnl`	BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. CoRR Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman
2022	A*	`conf`	Depth-SIMS: Semi-Parametric Image and Depth Synthesis. ICRA Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
2022	J	`jnl`	Depth-SIMS: Semi-Parametric Image and Depth Synthesis. CoRR Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman
2022	A*	`conf`	Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. ICRA Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
2022	J	`jnl`	Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. CoRR Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
2022	J	`jnl`	What Goes Around: Leveraging a Constant-Curvature Motion Constraint in Radar Odometry. IEEE Robotics Autom. Lett. Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman
2022	J	`jnl`	What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry. CoRR Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman
2021	—	`conf`	Contrastive Learning for Unsupervised Radar Place Recognition. ICAR Matthew Gadd, Daniele De Martini, Paul Newman
2021	J	`jnl`	Contrastive Learning for Unsupervised Radar Place Recognition. CoRR Matthew Gadd, Daniele De Martini, Paul Newman
2021	A*	`conf`	Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. ICRA David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul M. Newman
2021	J	`jnl`	Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. CoRR David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul Newman
2021	J	`jnl`	Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction. Int. J. Pattern Recognit. Artif. Intell. Stefan Saftescu, Matthew Gadd, Paul Newman
2021	—	`conf`	The Oxford Road Boundaries Dataset. IV Workshops Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
2021	J	`jnl`	The Oxford Road Boundaries Dataset. CoRR Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
2021	J	`jnl`	Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos. CoRR Matthew Gadd, Daniele De Martini, Paul Newman
2020	—	`conf`	Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. ITSC David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman
2020	J	`jnl`	Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. CoRR David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman
2020	A*	`conf`	Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. ICRA Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
2020	J	`jnl`	Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. CoRR Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
2020	—	`conf`	LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. PLANS Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman
2020	J	`jnl`	LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. CoRR Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman
2020	—	`conf`	Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. PLANS Matthew Gadd, Daniele De Martini, Paul Newman
2020	J	`jnl`	Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. CoRR Matthew Gadd, Daniele De Martini, Paul Newman
2020	C	`conf`	RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. IV Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman
2020	J	`jnl`	RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. CoRR Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman
2020	J	`jnl`	Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset. CoRR Will Maddern, Geoffrey Pascoe, Matthew Gadd, Dan Barnes, Brian Yeomans, Paul Newman
2020	C	`conf`	Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. IV Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze
2020	J	`jnl`	Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. CoRR Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze
2020	A*	`conf`	The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. ICRA Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
2020	J	`jnl`	kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation. Sensors Daniele De Martini, Matthew Gadd, Paul Newman
2019	A*	`conf`	Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision. ICRA Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman
2019	—	`conf`	The Hulk: Design and Development of a Weather-Proof Vehicle for Long-Term Autonomy in Outdoor Environments. FSR Stephen Kyberd, Jonathan Attias, Peter Get, Paul Murcutt, Chris Prahacs, Matthew Towlson, Simon Venn, Andreia Vasconcelos, Matthew Gadd, Daniele De Martini, Paul Newman
2019	J	`jnl`	The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. CoRR Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
2019	—	`conf`	What Could Go Wrong? Introspective Radar Odometry in Challenging Environments. ITSC Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman
2018	J	`jnl`	The Data Market: Policies for Decentralised Visual Localisation. CoRR Matthew Gadd, Paul Newman
2016	A	`conf`	Checkout my map: Version control for fleetwide visual localisation. IROS Matthew Gadd, Paul Newman
2015	A*	`conf`	A framework for infrastructure-free warehouse navigation. ICRA Matthew Gadd, Paul Newman