activity
20232025
most citedCaBuAr: California Burned Areas dataset for delineation

23 citations · 37 across the 5 of their papers we have counts for

collaborators

5 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

Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment

Daniele Rege Cambrin, Gabriele Scaffidi Militone, Luca Colomba +3

Designing effective game tutorials is crucial for a smooth learning curve for new players, especially in games with many rules and complex core mechanics. Evaluating the effectiven…

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…

cs.CL2023★ 8 cited

ITALIC: An Italian Intent Classification Dataset

Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani +5

Recent large-scale Spoken Language Understanding datasets focus predominantly on English and do not account for language-specific phenomena such as particular phonemes or words in…