Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels

Ordun, Catherine; Raff, Edward; Purushotham, Sanjay

doi:10.48550/arxiv.2106.08091

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2023

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“…the face. To address these challenges, I completed the development of the Facial-Visible-to-Thermal GAN (favtGAN) (Ordun et al 2021), proving that auxiliary sensor labels can improve generated thermal face quality, by conditioning the generator. I extended favtGAN into the Thermal Face Contrastive GAN (TFC-GAN) in order to improve thermal image quality, resolution, and perceptual clarity.…”

Section: Introductionmentioning

confidence: 99%

Multimodal Deep Generative Models for Remote Medical Applications

Ordun

2023

AAAI

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Visible-to-Thermal (VT) face translation is an under-studied problem of image-to-image translation that offers an AI-enabled alternative to traditional thermal sensors. Over three phases, my Doctoral Proposal explores developing multimodal deep generative solutions that can be applied towards telemedicine applications. These include the contribution of a novel Thermal Face Contrastive GAN (TFC-GAN), exploration of hybridized diffusion-GAN models, application on real clinical thermal data at the National Institutes of Health, and exploration of strategies for Federated Learning (FL) in heterogenous data settings.

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Section: Introductionmentioning

confidence: 99%

Multimodal Deep Generative Models for Remote Medical Applications

Ordun

2023

AAAI

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Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels

Cited by 1 publication

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Multimodal Deep Generative Models for Remote Medical Applications

Multimodal Deep Generative Models for Remote Medical Applications

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