128 citations · 293 across the 39 of their papers we have counts for
6 papers · 1 filter
Weakly Supervised Polar Low Segmentation in Sentinel-1 SAR Imagery
Andrea Federici, Jakob Grahn, Giacomo Boracchi +1
Polar lows are intense maritime cyclones that form rapidly at high latitudes. Deep learning can detect them in Synthetic Aperture Radar (SAR) imagery, but pixel-level segmentation…
SAR Vessel Detection and Gross Tonnage Estimation from Heterogeneous Datasets for Dark Vessel Identification
Davide Paltrinieri, Andrea Diecidue, Roberto Basla +3
Detecting vessels engaging in illegal activities is of paramount importance for maritime security. One of the major goals is to detect dark vessels, ships that disable their transp…
Cell Phantom Video Generation in Elliptical Fourier Descriptor Domain
Francesco Benedetto, Roberto Basla, Luca Magri +1
Training Deep Neural Networks for tracking individual cells in biomedical videos requires a large amount of annotated data. The annotation of videos for cell tracking is very time…
Accurate Simulation Pipeline for Passive Single-Photon Imaging
Aleksi Suonsivu, Lauri Salmela, Leevi Uosukainen +3
Single-Photon Avalanche Diodes (SPADs) are new and promising imaging sensors. These sensors are sensitive enough to detect individual photons hitting each pixel, with extreme tempo…
LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving
Carlo Sgaravatti, Riccardo Pieroni, Matteo Corno +3
Accurately localizing 3D objects like pedestrians, cyclists, and other vehicles is essential in Autonomous Driving. To ensure high detection performance, Autonomous Vehicles comple…
Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation
Riccardo Gelato, Carlo Sgaravatti, Jakob Grahn +2
Remote sensing solutions for avalanche segmentation and mapping are key to supporting risk forecasting and mitigation in mountain regions. Synthetic Aperture Radar (SAR) imagery fr…