Francesco Pro

According to our database, Francesco Pro authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

R3ST: A Synthetic 3D Dataset With Realistic Trajectories.

Simone Teglia, Claudia Melis Tonti, Francesco Pro, Leonardo Russo, Andrea Alfarano, Leonardo Pentassuglia, Irene Amerini

CoRR, December, 2025

Unsupervised pedestrian intention estimation through deep neural embeddings and spatio-temporal graph convolutional networks.

Simone Scaccia, Francesco Pro, Irene Amerini

Pattern Anal. Appl., June, 2025

Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation.

Emanuele Mule, Matteo Pannacci, Ali Ghasemi Goudarzi, Francesco Pro, Lorenzo Papa, Luca Maiano, Irene Amerini

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Enabling Smart Urban Mobility with Edge AI.

Luigi Gallo, Andrea Tuscano, Paolo Giuseppetti, Pietro Amato, Alessandro Solinas, Federico Saluz, Andrea Tessieri, Mario Pedol, Manuel Pernigotto, Massimo Fioravanti, Giovanni Agosta, William Fornaciari, Paolo Maffezzoni, Fabio Salice, Irene Amerini, Francesco Pro, Paolo Satta, Giovanni Trovini

Proceedings of the 28th Euromicro Conference on Digital System Design, 2025

R3ST: A Synthetic 3D Dataset with Realistic Trajectories.

Simone Teglia, Claudia Melis Tonti, Francesco Pro, Leonardo Russo, Andrea Alfarano, Matteo Pentassuglia, Irene Amerini

Proceedings of the Computer Analysis of Images and Patterns, 2025

2024

PMDI: An AI-Enabled Ecosystem for Cooperative Urban Mobility.

William Fornaciari, Giovanni Agosta, Massimo Fioravanti, Paolo Giuseppetti, Alessandro Solinas, Luigi Gallo, Manuel Pernigotto, Mario Pedol, Francesco Pro, Irene Amerini, Lorenzo Papa, Luca Maiano, Giovanni Trovini, Mauro Di Giamberardino, Paolo Satta

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2024

A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching.

Francesco Pro, Nikolaos Dionelis, Luca Maiano, Bertrand Le Saux, Irene Amerini

Proceedings of the IGARSS 2024, 2024

Learning from Unlabelled data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images.

Nikolaos Dionelis, Francesco Pro, Luca Maiano, Irene Amerini, Bertrand Le Saux

Proceedings of the IGARSS 2024, 2024

2023

Distance Estimation of Fixed Objects in Driving Environments.

Giorgio Leporoni, Valerio Ponzi, Francesco Pro, Christian Napoli

Proceedings of the 9th Scholar's Yearly Symposium of Technology, 2023