Oscar Mendez Maldonado

Orcid: 0000-0003-4904-4349

According to our database1, Oscar Mendez Maldonado authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care.
Comput. Biol. Medicine, 2024

Generalizing to New Tasks via One-Shot Compositional Subgoals.
Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024

2023
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation.
CoRR, 2023

RaSpectLoc: RAman SPECTroscopy-dependent robot LOCalisation.
IROS, 2023

2022
Generalizing to New Tasks via One-Shot Compositional Subgoals.
CoRR, 2022

SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning.
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.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Translating Images into Maps.
CoRR, 2021

Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Improving Robot Localisation by Ignoring Visual Distraction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

MDN-VO: Estimating Visual Odometry with Confidence.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

There and Back Again: Self-supervised Multispectral Correspondence Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Enabling spatio-temporal aggregation in Birds-Eye-View Vehicle Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Markov Localisation using Heatmap Regression and Deep Convolutional Odometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour.
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.
Int. J. Comput. Vis., 2020

2019
A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors.
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?
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Localisation via Deep Imagination: Learn the Features Not the Map.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Taking the Scenic Route to 3D: Optimising Reconstruction from Moving Cameras.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors.
Proceedings of the British Machine Vision Conference 2016, 2016


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