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cs.CV2024
DNN-based 3D Cloud Retrieval for Variable Solar Illumination and Multiview Spaceborne Imaging
Tamar Klein, Tom Aizenberg, Roi Ronen
Climate studies often rely on remotely sensed images to retrieve two-dimensional maps of cloud properties. To advance volumetric analysis, we focus on recovering the three-dimensio…
cs.CV2024
Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis
Roi Ronen, Ilan Koren, Aviad Levis +3
Significant uncertainty in climate prediction and cloud physics is tied to observational gaps relating to shallow scattered clouds. Addressing these challenges requires remote sens…
cs.CL2024
GRAM: Global Reasoning for Multi-Page VQA
Tsachi Blau, Sharon Fogel, Roi Ronen +6
The increasing use of transformer-based large language models brings forward the challenge of processing long sequences. In document visual question answering (DocVQA), leading met…