Oscar Mendez Maldonado

According to our database, Oscar Mendez Maldonado authored at least 19 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation.

Tavis Shore, Simon Hadfield, Oscar Mendez Maldonado

CoRR, 2023

RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation.

Christopher Thomas Thirgood, Oscar Mendez Maldonado, Erin Chao Ling, Jon Storey, Simon Hadfield

IROS, 2023

2022

Generalizing to New Tasks via One-Shot Compositional Subgoals.

Xihan Bian, Oscar Mendez Maldonado, Simon Hadfield

CoRR, 2022

SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning.

Xihan Bian, Oscar Mendez Maldonado, Simon Hadfield

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

G-CMP: Graph-enhanced Contextual Matrix Profile for unsupervised anomaly detection in sensor-based remote health monitoring.

Nivedita Bijlani, Oscar Mendez Maldonado, Samaneh Kouchaki

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Translating Images into Maps.

Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden

CoRR, 2021

Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation.

Nimet Kaygusuz, Oscar Mendez Maldonado, Richard Bowden

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Improving Robot Localisation by Ignoring Visual Distraction.

Oscar Mendez Maldonado, Matthew J. Vowels, Richard Bowden

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

MDN-VO: Estimating Visual Odometry with Confidence.

Nimet Kaygusuz, Oscar Mendez Maldonado, Richard Bowden

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

There and Back Again: Self-supervised Multispectral Correspondence Estimation.

Celyn Walters, Oscar Mendez Maldonado, Mark Johnson, Richard Bowden

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation.

Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Markov Localisation using Heatmap Regression and Deep Convolutional Odometry.

Oscar Mendez Maldonado, Simon Hadfield, Richard Bowden

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour.

Xihan Bian, Oscar Mendez Maldonado, Simon Hadfield

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

SeDAR: Reading Floorplans Like a Human - Using Deep Learning to Enable Human-Inspired Localisation.

Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden

Int. J. Comput. Vis., 2020

2019

A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors.

Celyn Walters, Oscar Mendez Maldonado, Simon Hadfield, Richard Bowden

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

SeDAR - Semantic Detection and Ranging: Humans can Localise without LiDAR, can Robots?

Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Localisation via Deep Imagination: Learn the Features Not the Map.

Jaime Spencer, Oscar Mendez Maldonado, Richard Bowden, Simon Hadfield

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras.

Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors.

Oscar Mendez Maldonado, Simon Hadfield, Nicolas Pugeault, Richard Bowden

Proceedings of the British Machine Vision Conference 2016, 2016