The perception of object motion during self-motion. - Diederick Christian Niehorster (2013)

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

Get a grip: slippage-robust and glint-free gaze estimation for real-time pervasive head-mounted eye tracking. - Thiago Santini; Diederick C. Niehorster; Enkelejda Kasneci (ETRA, 2019)

Two-Way Gaze Sharing in Remote Teaching. - Oleg Spakov; Diederick C. Niehorster; Howell O. Istance; Kari-Jouko Räihä; Harri Siirtola (INTERACT (2), 2019)

A model of how depth facilitates scene-relative object motion perception. - Oliver W. Layton; Diederick Christian Niehorster (PLoS Comput. Biol., 2019)

Using Augmented Reality to Train Flow Patterns for Pilot Students - An Explorative Study. - Günter Alce; Karl-Johan Klang; Daniel Andersson; Stefan Nyström; Mattias Wallergård; Diederick C. Niehorster (AVR (1), 2020)

Towards Situation Awareness and Attention Guidance in a Multiplayer Environment using Augmented Reality and Carcassonne. - David Kadish; Arezoo Sarkheyli-Hägele; José M. Font; Georg Hägele; Diederick C. Niehorster; Thomas Pederson (CHI PLAY, 2022)

Understanding the Experience of Code Review: Misalignments, Attention, and Units of Analysis. - Emma Söderberg; Luke Church; Jürgen Börstler; Diederick C. Niehorster; Christofer Rydenfält (EASE, 2022)

Design and Evaluation of Three User Interfaces for Detecting Unmanned Aerial Vehicles Using Virtual Reality. - Günter Alce; Philip Alm; Rikard Tyllström; Anthony Smoker; Diederick C. Niehorster (EuroXR, 2022)

What's bothering developers in code review? - Emma Söderberg; Luke Church; Jürgen Börstler; Diederick C. Niehorster; Christofer Rydenfält (ICSE (SEIP), 2022)

Towards Situation Awareness and Attention Guidance in a Multiplayer Environment using Augmented Reality and Carcassonne. - David Kadish; Arezoo Sarkheyli-Hägele; José María Font; Diederick C. Niehorster; Thomas Pederson (CoRR, 2022)

Applying Machine Learning to Gaze Data in Software Development: a Mapping Study. - Peng Kuang; Emma Söderberg; Diederick C. Niehorster; Martin Höst (ETRA, 2023)

GANDER: a Platform for Exploration of Gaze-driven Assistance in Code Review. - William Saranpää; Felix Apell Skjutar; Johan Heander; Emma Söderberg; Diederick C. Niehorster; Olivia Mattsson; Hedda Klintskog; Luke Church (ETRA, 2023)

Toward Gaze-assisted Developer Tools. - Peng Kuang; Emma Söderberg; Diederick C. Niehorster; Martin Höst (ICSE (NIER), 2023)

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)

From Lenses to Living Rooms: A Policy Brief on Eye Tracking in XR Before the Impending Boom. - Sean Anthony Byrne; Nora Castner; Efe Bozkir; Diederick C. Niehorster; Enkelejda Kasneci (AIxVR, 2024)

Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images. - Virmarie Maquiling; Sean Anthony Byrne; Diederick Christian Niehorster; Marco Carminati; Enkelejda Kasneci (Zenodo, 2024)

Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images. - Virmarie Maquiling; Sean Anthony Byrne; Diederick Christian Niehorster; Marco Carminati; Enkelejda Kasneci (Zenodo, 2024)

Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images. - Virmarie Maquiling; Sean Anthony Byrne; Diederick Christian Niehorster; Marco Carminati; Enkelejda Kasneci (Zenodo, 2024)

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)

Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 13 Million Images. - Virmarie Maquiling; Sean Anthony Byrne; Diederick Christian Niehorster; Marco Carminati; Enkelejda Kasneci (Zenodo, 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)

Zero-Shot Pupil Segmentation with SAM 2: A Case Study of Over 14 Million Images. - Virmarie Maquiling; Sean Anthony Byrne; Diederick C. Niehorster; Marco Carminati; Enkelejda Kasneci (Proc. ACM Comput. Graph. Interact. Tech., 2025)