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20222026
most citedZero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)

11 citations · 28 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Eye image segmentation using visual and concept prompts with Segment Anything Model 3 (SAM3)

Diederick C. Niehorster, Marcus Nyström

Previous work has reported that vision foundation models show promising zero-shot performance in eye image segmentation. Here we examine whether the latest iteration of the Segment…

cs.CV2024★ 1 cited

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,…

cs.CV2023★ 11 cited

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,…

cs.CV2023★ 7 cited

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…

cs.CV2023★ 9 cited

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…

cs.HC2022

Towards Situation Awareness and Attention Guidance in a Multiplayer Environment using Augmented Reality and Carcassonne

David Kadish, Arezoo Sarkheyli-Hägele, Jose Font +2

Augmented reality (AR) games are a rich environment for researching and testing computational systems that provide subtle user guidance and training. In particular computer systems…