My research activity focuses on the design of IT tools for underwater environmental monitoring. Between the different topics: automatic recognition and segmentation from the large-area images, human-in-the-loop applications for optical data visualization, labeling and analysis, and image-based 3D reconstructions of underwater habitats.
I’m one of the main developers of TagLab, an AI-powered interactive annotation tool that speeds up image data human labeling and analysis. TagLab supports the detection of change from multi-temporal surveys, the analysis of multi-channel data, and allows the experts to create custom classifiers through a feature called Train-Your-Network.
I'm holding a Postdoctoral Fellowship at the Visual Computing Lab since November 2014. From 2014 to 2016, my activities have been focused on digital technologies for the Cultural Heritage field. From 2012 to 2014, I worked for TiQU-process, a start-up company of 3D scanning and rapid prototyping.
I have a Ph.D. in Information Engineering, a master's degree in Applied Mathematics (Signal and Image Processing), and a Bachelor's degree in Mathematics.
TagLab: TagLab's main interface: the export of labeled dataset for the training of semantic segmentation models.
Multi-temporal tracking of areas' changes.
A complete list of pubblication can be found HERE
TagLab has been used successfully used in the stratigraphic analysis of masonry.
gaia.pavoni@isti.cnt.it
ISTI-CNR, Area della Ricerca
Via G. Moruzzi 1, 56124, Pisa (PI)
Phone: +39 050 315 2925