activity
20152024
most citedSynthetic Data in Healthcare

17 citations · 28 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV20241 cited

Thermal Imaging and Radar for Remote Sleep Monitoring of Breathing and Apnea

Kai Del Regno, Alexander Vilesov, Adnan Armouti +4

Polysomnography (PSG), the current gold standard method for monitoring and detecting sleep disorders, is cumbersome and costly. At-home testing solutions, known as home sleep apnea…

cs.CV2024

Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images?

Alexander Vilesov, Yuan Tian, Nader Sehatbakhsh +1

The exponential progress in generative AI poses serious implications for the credibility of all real images and videos. There will exist a point in the future where 1) digital cont…

cs.CV2024

GT-Rain Single Image Deraining Challenge Report

Howard Zhang, Yunhao Ba, Ethan Yang +20

This report reviews the results of the GT-Rain challenge on single image deraining at the UG2+ workshop at CVPR 2023. The aim of this competition is to study the rainy weather phen…

cs.CV2024

WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather

Blake Gella, Howard Zhang, Rishi Upadhyay +7

We propose a method to infer semantic segmentation maps from images captured under adverse weather conditions. We begin by examining existing models on images degraded by weather c…

cs.CV2023

Personalized Restoration via Dual-Pivot Tuning

Pradyumna Chari, Sizhuo Ma, Daniil Ostashev +4

Generative diffusion models can serve as a prior which ensures that solutions of image restoration systems adhere to the manifold of natural images. However, for restoring facial i…

cs.AI202317 cited

Synthetic Data in Healthcare

Daniel McDuff, Theodore Curran, Achuta Kadambi

Synthetic data are becoming a critical tool for building artificially intelligent systems. Simulators provide a way of generating data systematically and at scale. These data can t…