23 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 4 cited
Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
In crisis management and remote sensing, image segmentation plays a crucial role, enabling tasks like disaster response and emergency planning by analyzing visual data. Neural netw…
cs.CV2024★ 1 cited
ViGEO: an Assessment of Vision GNNs in Earth Observation
Luca Colomba, Paolo Garza
Satellite missions and Earth Observation (EO) systems represent fundamental assets for environmental monitoring and the timely identification of catastrophic events, long-term moni…
cs.CV2024★ 23 cited
CaBuAr: California Burned Areas dataset for delineation
Daniele Rege Cambrin, Luca Colomba, Paolo Garza
Forest wildfires represent one of the catastrophic events that, over the last decades, caused huge environmental and humanitarian damages. In addition to a significant amount of ca…