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Found 7 papers, 2 papers with code
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces
Since thermal imagery offers a unique modality to investigate pain, the U. S. National Institutes of Health (NIH) has collected a large and diverse set of cancer patient facial thermograms for AI-based pain research.
Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs
For a variety of biometric cross-spectral tasks, Visible-Thermal (VT) facial pairs are used.
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion
Thermal facial imagery offers valuable insight into physiological states such as inflammation and stress by detecting emitted radiation in the infrared spectrum, which is unseen in the visible spectra.
Intelligent Sight and Sound: A Chronic Cancer Pain Dataset
Cancer patients experience high rates of chronic pain throughout the treatment process.
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels
These combined data are captured from similar sensors in order to bootstrap the training and transfer learning task, especially valuable because visible-thermal face datasets are limited.
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data
But we also propose that thermal imagery may provide a semi-anonymous modality for computer vision, over RGB, which has been plagued by misuse in facial recognition.
Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs
As the time to retweet increases, the density of connections also increase where in our sample, we found distinct users dominating the attention of Covid19 retweeters.
