PRO, FRANCESCO
PRO, FRANCESCO
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching
2024 Pro, F.; Dionelis, N.; Maiano, L.; Le Saux, B.; Amerini, I.
Distance Estimation of Fixed Objects in Driving Environments
2023 Leporoni, G.; Ponzi, V.; Pro, F.; Napoli, C.
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation
2025 Mule, E.; Pannacci, M.; Goudarzi, A. G.; Pro, F.; Papa, L.; Maiano, L.; Amerini, I.
Learning from Unlabelled data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
2024 Dionelis, N.; Pro, F.; Maiano, L.; Amerini, I.; Saux, B. L.
PMDI: An AI-Enabled Ecosystem for Cooperative Urban Mobility
2025 Fornaciari, W.; Agosta, G.; Fioravanti, M.; Giuseppetti, P.; Solinas, A.; Gallo, L.; Pernigotto, M.; Pedol, M.; Pro, F.; Amerini, I.; Papa, L.; Maiano, L.; Trovini, G.; Di Giamberardino, M.; Satta, P.
R3ST: A Synthetic 3D Dataset with Realistic Trajectories
2026 Teglia, Simone; Melis Tonti, Claudia; Pro, Francesco; Amerini, Irene; Leonardo, Russo; Andrea, Alfarano; Leonardo, Pentassugli
Unsupervised pedestrian intention estimation through deep neural embeddings and spatio-temporal graph convolutional networks
2025 Scaccia, S.; Pro, F.; Amerini, I.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching | 2024 | Pro, F.; Dionelis, N.; Maiano, L.; Le Saux, B.; Amerini, I. | |
| Distance Estimation of Fixed Objects in Driving Environments | 2023 | Leporoni, G.; Ponzi, V.; Pro, F.; Napoli, C. | |
| Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation | 2025 | Mule, E.; Pannacci, M.; Goudarzi, A. G.; Pro, F.; Papa, L.; Maiano, L.; Amerini, I. | |
| Learning from Unlabelled data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images | 2024 | Dionelis, N.; Pro, F.; Maiano, L.; Amerini, I.; Saux, B. L. | |
| PMDI: An AI-Enabled Ecosystem for Cooperative Urban Mobility | 2025 | Fornaciari, W.; Agosta, G.; Fioravanti, M.; Giuseppetti, P.; Solinas, A.; Gallo, L.; Pernigotto, M.; Pedol, M.; Pro, F.; Amerini, I.; Papa, L.; Maiano, L.; Trovini, G.; Di Giamberardino, M.; Satta, P. | |
| R3ST: A Synthetic 3D Dataset with Realistic Trajectories | 2026 | Teglia, Simone; Melis Tonti, Claudia; Pro, Francesco; Amerini, Irene; Leonardo, Russo; Andrea, Alfarano; Leonardo, Pentassugli | |
| Unsupervised pedestrian intention estimation through deep neural embeddings and spatio-temporal graph convolutional networks | 2025 | Scaccia, S.; Pro, F.; Amerini, I. |