no code implementations • 28 Nov 2022 • Renato Cardoso, Sofia Vallecorsa, Edoardo Nemni
In this work, we formulate the image generation task as completion of an image where one out of three corners is missing.
no code implementations • 18 Nov 2022 • Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan
Since such data might not be available during other events or regions, we aimed to produce a landslide density map using only elevation and SAR data to be useful to decision-makers in rapid response scenarios.
1 code implementation • 17 Nov 2022 • Vanessa Böhm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan
In the case of landslides, rapid assessment involves determining the extent of the area affected and measuring the size and location of individual landslides.
1 code implementation • 5 Nov 2022 • Vanessa Boehm, Wei Ji Leong, Ragini Bal Mahesh, Ioannis Prapas, Edoardo Nemni, Freddie Kalaitzis, Siddha Ganju, Raul Ramos-Pollan
With climate change predicted to increase the likelihood of landslide events, there is a growing need for rapid landslide detection technologies that help inform emergency responses.
no code implementations • 26 Jan 2022 • Hongruixuan Chen, Edoardo Nemni, Sofia Vallecorsa, Xi Li, Chen Wu, Lars Bromley
Considering the frontier advances of Transformer architecture in the computer vision field, in this paper, we present the first attempt at designing a Transformer-based damage assessment architecture (DamFormer).
Ranked #6 on Extracting Buildings In Remote Sensing Images on xBD
no code implementations • 3 Dec 2020 • Ritwik Gupta, Eric T. Heim, Edoardo Nemni
These are the "proceedings" of the 2nd AI + HADR workshop which was held virtually on December 12, 2020 as part of the Neural Information Processing Systems conference.
no code implementations • 29 Jan 2020 • Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel Luengo-Oroz
Humanitarian response to natural disasters and conflicts can be assisted by satellite image analysis.