Virmarie Maquiling
Virmarie Maquiling
Wissenschaftliche Mitarbeiterin, Doktorandin
Technische Universität München
TUM School of Social Sciences and Technology
Lehrstuhl Human-Centered Technologies for Learning
Besucheradresse:
Marsstraße 20-22
80335 München
Postanschrift:
Arcisstraße 21
80333 München
Raum: 257
Sprechzeiten: nach Vereinbarung
Tel.: +49 89 289 24343
E-Mail: virmarie.maquiling@tum.de
Werdegang
- 2017 – 2020: B.Sc. in Computer Science at Karl Eberhard University of Tübingen
- 2020 – 2023: M.Sc. in Computer Science at Karl Eberhard University of Tübingen
- 2023 – Present: PhD Candidate at Technical University of Munich, Germany
Forschungsschwerpunkt
- Scanpath analysis
- Machine Learning
- Synthetic data generation
- Eye-Tracking Research
Publikationen
- Maquiling, Virmarie, Sean Anthony Byrne, Diederick C. Niehorster, Marcus Nyström, and Enkelejda Kasneci. "Zero-shot segmentation of eye features using the segment anything model (sam)." arXiv preprint arXiv:2311.08077 (2023).
- Maquiling, Virmarie, Sean Anthony Byrne, Marcus Nyström, Enkelejda Kasneci, and Diederick C. Niehorster. "V-ir-net: A novel neural network for pupil and corneal reflection detection trained on simulated light distributions." In Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, pp. 1-7. 2023.
- Byrne, Sean Anthony, Virmarie Maquiling, Marcus Nyström, Enkelejda Kasneci, and Diederick C. Niehorster. "LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye Images." arXiv preprint arXiv:2309.06129 (2023).
- Byrne, Sean Anthony, Marcus Nyström, Virmarie Maquiling, Enkelejda Kasneci, and Diederick C. Niehorster. "Precise localization of corneal reflections in eye images using deep learning trained on synthetic data." Behavior Research Methods (2023): 1-16.
- Byrne, Sean Anthony, Virmarie Maquiling, Adam Peter Frederick Reynolds, Luca Polonio, Nora Castner, and Enkelejda Kasneci. "Exploring the effects of scanpath feature engineering for supervised image classification models." Proceedings of the ACM on Human-Computer Interaction 7, no. ETRA (2023): 1-18.For an updated list, check out my Google Scholar page!