Search Results for author: Fernando Caballero

Found 4 papers, 3 papers with code

OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics

1 code implementation21 Feb 2022 Fernando Amodeo, Fernando Caballero, Natalia Díaz-Rodríguez, Luis Merino

Scene graph generation from images is a task of great interest to applications such as robotics, because graphs are the main way to represent knowledge about the world and regulate human-robot interactions in tasks such as Visual Question Answering (VQA).

BIG-bench Machine Learning Graph Generation +4

DLL: Direct LIDAR Localization. A map-based localization approach for aerial robots

1 code implementation10 Mar 2021 Fernando Caballero, Luis Merino

This paper presents DLL, a fast direct map-based localization technique using 3D LIDAR for its application to aerial robots.

Robotics

Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library

1 code implementation19 May 2020 R. Adhikari, Austen Bolitho, Fernando Caballero, Michael E. Cates, Jakub Dolezal, Timothy Ekeh, Jules Guioth, Robert L. Jack, Julian Kappler, Lukas Kikuchi, Hideki Kobayashi, Yuting I. Li, Joseph D. Peterson, Patrick Pietzonka, Benjamin Remez, Paul B. Rohrbach, Rajesh Singh, Günther Turk

The PyRoss library enables fitting to epidemiological data, as available, using Bayesian parameter inference, so that competing models can be weighed by their evidence.

Populations and Evolution Physics and Society Quantitative Methods

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