šŸ‘‹šŸ» Hello there! Iā€™m Francesco


GAN Functioning šŸ§‘šŸ» Iā€™m a first year PhD Student at the La Sapienza University of Rome in the Alcor Lab

šŸ”¬ My research primarily focuses on understanding and boosting geolocation in the field of Earth Observation. Iā€™m also interested in the use of Generative Models and Large Language Models

šŸ’» Iā€™m currently working in the field of Computer Vision


Some Projects

  • Ground-to-Aerial image matching for geospatial applications
    • Thesis project in Computer Vision, the work has been done in collaboration with the ESA-Ļ†-lab of Frascati, Rome;
    • Developed a Neural Networks-based architecture to match a query ground view image with a satellite one representing the same location, using Python and TensorFlow.
  • Distance estimation of traffic signs in driving environment
    • Developed an offline Neural Networks-based architecture to estimate the distances to the traffic signs from a camera mounted on a car, using Python and TensorFlow.
  • Covid-19 detection from chest x-ray
    • Developed a Neural Networks-based architecture to detect patients affected by COVID-19 through chest x-ray images, first training and testing three well-known networks and then developing two networks from scratch. The project has been implemented using Python and TensorFlow;
    • Collected online accessible chest x-ray images to create an ad hoc dataset.