activity
20202026
most citedSpatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

DODO: Discrete OCR Diffusion Models

Sean Man, Gilad Deutch, Roy Ganz +4

Optical Character Recognition (OCR) is a fundamental task for digitizing information, serving as a critical bridge between visual data and textual understanding. While modern Visio…

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…

cs.CV2022

Complex-valued Retrievals From Noisy Images Using Diffusion Models

Nadav Torem, Roi Ronen, Yoav Y. Schechner +1

In diverse microscopy modalities, sensors measure only real-valued intensities. Additionally, the sensor readouts are affected by Poissonian-distributed photon noise. Traditional r…

cs.CV2022★ 1 cited

GLASS: Global to Local Attention for Scene-Text Spotting

Roi Ronen, Shahar Tsiper, Oron Anschel +3

In recent years, the dominant paradigm for text spotting is to combine the tasks of text detection and recognition into a single end-to-end framework. Under this paradigm, both tas…

cs.CV2020★ 1 cited

Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms

Roi Ronen, Yoav Y. Schechner, Eshkol Eytan

We derive computed tomography (CT) of a time-varying volumetric translucent object, using a small number of moving cameras. We particularly focus on passive scattering tomography,…