32 citations · 59 across the 4 of their papers we have counts for
4 papers
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)
Virmarie Maquiling, Sean Anthony Byrne, Diederick C. Niehorster +2
The advent of foundation models signals a new era in artificial intelligence. The Segment Anything Model (SAM) is the first foundation model for image segmentation. In this study,…
LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye Images
Sean Anthony Byrne, Virmarie Maquiling, Marcus Nyström +2
Deep learning has bolstered gaze estimation techniques, but real-world deployment has been impeded by inadequate training datasets. This problem is exacerbated by both hardware-ind…
Precise localization of corneal reflections in eye images using deep learning trained on synthetic data
Sean Anthony Byrne, Marcus Nyström, Virmarie Maquiling +2
We present a deep learning method for accurately localizing the center of a single corneal reflection (CR) in an eye image. Unlike previous approaches, we use a convolutional neura…
There's more to the multimedia effect than meets the eye: is seeing pictures believing?
M. Ogren, M. Nystrom, H. Jarodzka
Textbooks in applied mathematics often use graphs to explain the meaning of formulae, even though their benefit is still not fully explored. To test processes underlying this assum…