Giovanni G. Giacomo

Orcid: 0000-0003-1670-2536

According to our database1, Giovanni G. Giacomo authored at least 12 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A Probabilistic Underwater Localisation based on Cross-view and Cross-domain Acoustic and Aerial Images.
J. Intell. Robotic Syst., July, 2023

2022
Cross-View and Cross-Domain Underwater Localization Based on Optical Aerial and Acoustic Underwater Images.
IEEE Robotics Autom. Lett., 2022

Matching Cross-Domain Data with Cooperative Training of Triplet Networks: A Case Study on Underwater Robotics.
J. Intell. Robotic Syst., 2022

2021
Guided Sonar-to-Satellite Translation.
J. Intell. Robotic Syst., 2021

A Framework for Underwater Vehicle Localization based on Cross-view and Cross-domain Acoustic and Aerial Images.
Proceedings of the Latin American Robotics Symposium, 2021

2020
Matching Color Aerial Images and Underwater Sonar Images Using Deep Learning for Underwater Localization.
IEEE Robotics Autom. Lett., 2020

Cooperative Training of Triplet Networks for Cross-Domain Matching.
Proceedings of the Latin American Robotics Symposium, 2020

2019
Satellite and Underwater Sonar Image Matching Using Deep Learning.
Proceedings of the Latin American Robotics Symposium, 2019

Underwater Sonar and Aerial Images Data Fusion for Robot Localization.
Proceedings of the 19th International Conference on Advanced Robotics, 2019

Semantic Segmentation of Static and Dynamic Structures of Marina Satellite Images using Deep Learning.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Underwater Place Recognition in Unknown Environments with Triplet Based Acoustic Image Retrieval.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Sonar-to-Satellite Translation using Deep Learning.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018


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