Variable resolution images and their effects on eye movements during free viewing. - Marcus Nyström; Kenneth Holmqvist (Human Vision and Electronic Imaging, 2007)

Deriving and evaluating eye-tracking controlled volumes of interest for variable-resolution video compression. - Marcus Nyström; Kenneth Holmqvist (J. Electronic Imaging, 2007)

Off-line Foveated Compression and Scene Perception: An Eye-Tracking Approach. - Marcus Nyström (2008)

A vector-based, multidimensional scanpath similarity measure. - Halszka Jarodzka; Kenneth Holmqvist; Marcus Nyström (ETRA, 2010)

Effect of compressed offline foveated video on viewing behavior and subjective quality. - Marcus Nyström; Kenneth Holmqvist (ACM Trans. Multim. Comput. Commun. Appl., 2010)

Eye tracker data quality: what it is and how to measure it. - Kenneth Holmqvist; Marcus Nyström; Fiona Bríd Mulvey (ETRA, 2012)

Detection of Saccades and Postsaccadic Oscillations in the Presence of Smooth Pursuit. - Linnéa Larsson; Marcus Nyström; Martin Stridh (IEEE Trans. Biomed. Eng., 2013)

The Image of Images as an Aid to Improve Learning - An Eye-tracking Experiment Studying the Effect of Contrasts in Computer-based Learning Material. - Mona Holmqvist Olander; Eva Wennås Brante; Marcus Nyström (CSEDU (2), 2014)

Discrimination of fixations and smooth pursuit movements in high-speed eye-tracking data. - Linnéa Larsson; Marcus Nyström; Martin Stridh (EMBC, 2014)

Compensation of head movements in mobile eye-tracking data using an inertial measurement unit. - Linnéa Larsson; Marcus Nyström; Andrea Schwaller; Martin Stridh; Kenneth Holmqvist (UbiComp Adjunct, 2014)

Detection of fixations and smooth pursuit movements in high-speed eye-tracking data. - Linnéa Larsson; Marcus Nyström; Richard Andersson; Martin Stridh (Biomed. Signal Process. Control., 2015)

Microsaccade detection using pupil and corneal reflection signals. - Diederick C. Niehorster; Marcus Nyström (ETRA, 2018)

Suitability of calibration polynomials for eye-tracking data with simulated fixation inaccuracies. - William Rosengren; Marcus Nyström; Björn Hammar; Martin Stridh (ETRA, 2018)

V-ir-Net: A Novel Neural Network for Pupil and Corneal Reflection Detection trained on Simulated Light Distributions. - Virmarie Maquiling; Sean Anthony Byrne; Marcus Nyström; Enkelejda Kasneci; Diederick C. Niehorster (MobileHCI (Companion), 2023)

Precise localization of corneal reflections in eye images using deep learning trained on synthetic data. - Sean Anthony Byrne; Marcus Nyström; Virmarie Maquiling; Enkelejda Kasneci; Diederick C. Niehorster (CoRR, 2023)

LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye Images. - Sean Anthony Byrne; Virmarie Maquiling; Marcus Nyström; Enkelejda Kasneci; Diederick C. Niehorster (CoRR, 2023)

Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM). - Virmarie Maquiling; Sean Anthony Byrne; Diederick C. Niehorster; Marcus Nyström; Enkelejda Kasneci (Proc. ACM Comput. Graph. Interact. Tech., 2024)

Exploring promptable foundation models for high-resolution video eye tracking in the lab. - Diederick C. Niehorster; Virmarie Maquiling; Sean Anthony Byrne; Enkelejda Kasneci; Marcus Nyström (ETRA, 2025)