Search Results for author:
Found 7 papers, 4 papers with code
Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis
We demonstrate the approach in simulations and on real-world data, and indicate the relevance of 3D recovery and uncertainty to precipitation and renewable energy.
GRAM: Global Reasoning for Multi-Page VQA
The increasing use of transformer-based large language models brings forward the challenge of processing long sequences.
Complex-valued Retrievals From Noisy Images Using Diffusion Models
In this study, we generalize annealed Langevin Dynamics, a type of DDM, to tackle the fundamental challenges in optical imaging of complex-valued objects (and real images) affected by Poisson noise.
Variable Imaging Projection Cloud Scattering Tomography
The paper is the first to demonstrate CT of a real cloud using empirical data directly in a DNN.
GLASS: Global to Local Attention for Scene-Text Spotting
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.
Ranked #6 on
Text Spotting
on Total-Text
4D Cloud Scattering Tomography
We derive computed tomography (CT) of a time-varying volumetric scattering object, using a small number of moving cameras.
Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms
If these rates are used, the paper leads to a representation of the time-varying object, which simplifies 4D CT tomography.
