4 citations · 6 across the 7 of their papers we have counts for
5 papers · 1 filter
Motion-Based Tokenization for Cross-Dataset Egocentric Gaze Modeling
Virmarie Maquiling, Zhuojiang Cai, Enkelejda Kasneci
Gaze is increasingly used as an input signal for vision and multimodal models, yet no consensus exists on how to represent it across datasets. Raw traces preserve detail but are no…
Night Eyes: A Reproducible Framework for Constellation-Based Corneal Reflection Matching
Virmarie Maquiling, Yasmeen Abdrabou, Enkelejda Kasneci
Corneal reflection (glint) detection plays an important role in pupil-corneal reflection (P-CR) eye tracking, but in practice it is often handled as heuristics embedded within larg…
Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images
Virmarie Maquiling, Sean Anthony Byrne, Diederick C. Niehorster +2
We explore the transformative potential of SAM 2, a vision foundation model, in advancing gaze estimation and eye tracking technologies. By significantly reducing annotation time,…
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…