This work presents an approach for combining household demographic and l...
Rapid and accurate building damage assessments from high-resolution sate...
In this paper we propose a mask-conditional synthetic image generation m...
Innovations in computer vision algorithms for satellite image analysis c...
Rapid development of renewable energy sources, particularly solar
photov...
Remotely sensed geospatial data are critical for applications including
...
Localizing and counting large ungulates – hoofed mammals like cows and e...
AI for good (AI4G) projects involve developing and applying artificial
i...
We propose a general model, Temporal Cluster Matching (TCM), for detecti...
We introduce FELICIA (FEderated LearnIng with a CentralIzed Adversary) a...
Glacier mapping is key to ecological monitoring in the hkh region. Clima...
We show that simple patch-based models, such as epitomes, can have super...
Normalization layers have been shown to improve convergence in deep neur...
Batch normalization has been widely used to improve optimization in deep...
We propose incorporating human labelers in a model fine-tuning system th...
We focus on the automatic 3D terrain segmentation problem using hyperspe...
Following an initiative formalized in April 2016 formally known as ARL W...