Daniele De Martini

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 90

Top Topics

Unlabelled Data

Pose Estimation

Recurrent Neural Networks

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)
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)
Efimia Panagiotaki, Tyler Reinmund, Stephan Mouton, Luke Pitt, Arundathi Shaji Shanthini, Wayne Tubby, Matthew Towlson, Samuel Sze, Brian Liu, Chris Prahacs, Daniele De Martini, Lars Kunze
RobotCycle: Assessing Cycling Safety in Urban Environments. IV (2024)
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul M. Newman
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. 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)
Yufeng Diao, Yichi Zhang, Philip G. Zhao, Daniele De Martini
TAGIC: Task-Guided Image Communication Framework for Seamless Teleoperation. INFOCOM (Workshops) (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)
Efimia Panagiotaki, Tyler Reinmund, Brian Liu, Stephan Mouton, Luke Pitt, Arundathi Shaji Shanthini, Matthew Towlson, Wayne Tubby, Chris Prahacs, Daniele De Martini, Lars Kunze
RobotCycle: Assessing Cycling Safety in Urban Environments. CoRR (2024)
Daniele De Martini, Guido Benetti, Tullio Facchinetti
Real-time cyber/physical interplay in scheduling for peak load optimisation in Cyber-Physical Energy Systems. Intell. Syst. Appl. 22 (2024)
Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze
SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention. ICAR (2023)
Zhen Meng, Changyang She, Guodong Zhao, Daniele De Martini
Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse. IEEE J. Sel. Areas Commun. 41 (1) (2023)
Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze
Explainable Action Prediction through Self-Supervision on Scene Graphs. 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)
Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino
Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning: Enabling Tactile Perception from Visual Data. IEEE Robotics Autom. Mag. 30 (3) (2023)
Luigi Campanaro, Daniele De Martini, Siddhant Gangapurwala, Wolfgang Merkt, Ioannis Havoutis
Roll-Drop: accounting for observation noise with a single parameter. L4DC (2023)
Efimia Panagiotaki, Daniele De Martini, Lars Kunze
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models. 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)
Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze
Explainable Action Prediction through Self-Supervision on Scene Graphs. ICRA (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)
Efimia Panagiotaki, Daniele De Martini, Lars Kunze
Semantic Interpretation and Validation of Graph Attention-Based Explanations for GNN Models. ICAR (2023)
Fraser Rennie, David S. W. Williams, Paul Newman, Daniele De Martini
Doppler-Aware Odometry from FMCW Scanning Radar. ITSC (2023)
Luigi Campanaro, Daniele De Martini, Siddhant Gangapurwala, Wolfgang Merkt, Ioannis Havoutis
Roll-Drop: accounting for observation noise with a single parameter. CoRR (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)
Tim Y. Tang, Daniele De Martini, Paul M. Newman
Self-Supervised Lidar Place Recognition in Overhead Imagery Using Unpaired Data. Robotics: Science and Systems (2023)
Efimia Panagiotaki, Daniele De Martini, Georgi Pramatarov, Matthew Gadd, Lars Kunze
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention. CoRR (2023)
Zhen Meng, Changyang She, Guodong Zhao, Daniele De Martini
Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse. CoRR (2022)
Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry. CoRR (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)
Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. AAAI (2021)
Matthew Gadd, Daniele De Martini, Paul Newman
Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos. CoRR (2021)
David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul M. Newman
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. ICRA (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)
Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra
Online Fall Detection Using Recurrent Neural Networks on Smart Wearable Devices. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Matthew Gadd, Daniele De Martini, Paul Newman
Contrastive Learning for Unsupervised Radar Place Recognition. CoRR (2021)
Vít Ruzicka, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi
Unsupervised Change Detection of Extreme Events Using ML On-Board. CoRR (2021)
Luigi Campanaro, Siddhant Gangapurwala, Daniele De Martini, Wolfgang Merkt, Ioannis Havoutis
CPG-ACTOR: Reinforcement Learning for Central Pattern Generators. 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)
Luigi Campanaro, Siddhant Gangapurwala, Daniele De Martini, Wolfgang Merkt, Ioannis Havoutis
CPG-Actor: Reinforcement Learning for Central Pattern Generators. TAROS (2021)
Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman
The Oxford Road Boundaries Dataset. IV Workshops (2021)
Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. CoRR (2020)
Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. CoRR (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, 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)
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)
Tullio Facchinetti, Andrea Bonandin, Guido Benetti, Daniele De Martini
Distributed architecture for a smart LEDs display system based on MQTT. ETFA (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)
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)
Matthew Gadd, Daniele De Martini, Paul Newman
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. CoRR (2020)
Davide Giuffrida, Guido Benetti, Daniele De Martini, Tullio Facchinetti
Fall Detection with Supervised Machine Learning using Wearable Sensors. INDIN (2019)
Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman
What Could Go Wrong? Introspective Radar Odometry in Challenging Environments. 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)
Tze Ho Elden Tse, Daniele De Martini, Letizia Marchegiani
No Need to Scream: Robust Sound-Based Speaker Localisation in Challenging Scenarios. ICSR (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)
Daniele De Martini, Guido Benetti, Tullio Facchinetti
Cyber/physical interplay in the real-time scheduling for peak load optimization of electric loads. ICPS (2018)
Moses A. Koledoye, Daniele De Martini, Simone Rigoni, Tullio Facchinetti
A Comparison of RSSI Filtering Techniques for Range-based Localization. ETFA (2018)
Mirto Musci, Daniele De Martini, Nicola Blago, Tullio Facchinetti, Marco Piastra
Online Fall Detection using Recurrent Neural Networks. CoRR (2018)
Daniele De Martini, Guido Benetti, Marco L. Della Vedova, Tullio Facchinetti
Adaptive Real-Time Scheduling of Cyber-Physical Energy Systems. ACM Trans. Cyber Phys. Syst. 1 (4) (2017)
Daniele De Martini, Gianluca Roveda, Alessandro Bertini, Agnese Marchini, Tullio Facchinetti
A Framework for Automatic Generation of Fuzzy Evaluation Systems for Embedded Applications. IJCCI (2017)
Daniele De Martini, Giuseppe Valerio Gramazio, Alessandro Bertini, Carlo Rottenbacher, Tullio Facchinetti
Design and Modeling of a Quadcopter with Double Axis Tilting Rotors. Unmanned Syst. 5 (3) (2017)
Daniele De Martini, Guido Benetti, Filippo Cipolla, Davide Caprino, Marco L. Della Vedova, Tullio Facchinetti
Peak load optimization through 2-dimensional packing and multi-processor real-time scheduling. Conf. Computing Frontiers (2017)
Daniele De Martini, Andrea Bonandin, Tullio Facchinetti
eduMorse: An Open-Source Framework for Mobile Robotics Education. RiE (2017)
Moses A. Koledoye, Daniele De Martini, Massimo Carvani, Tullio Facchinetti
Design of a Mobile Robot for Air Ducts Exploration. Robotics 6 (4) (2017)
Lucio De Capitani, Daniele De Martini
Reproducibility Probability Estimation and RP-Testing for Some Nonparametric Tests. Entropy 18 (4) (2016)
Daniele De Martini
Robustness and Corrections for Sample Size Adaptation Strategies Based on Effect Size Estimation. Commun. Stat. Simul. Comput. 40 (9) (2011)
Daniele De Martini
Evaluating the Risk in Sample Size Determination. Commun. Stat. Simul. Comput. 37 (9) (2008)