Max Planck Institute for Informatics
+49 681 9325 2132 Campus E1 4, 66123 Saarbrücken, Germany Google Scholar
Julian Steil was a PhD student in the Perceptual User Interfaces group from 2014 to 2019. He holds a Bachelor's degree in Computer Science and a Master's degree in Visual Computing from Saarland University. His research interests include Mobile Eye Tracking, Image Processing and Computer Vision, Machine Learning and Pattern Recognition, as well as Human-Computer Interaction.
InvisibleEye: Fully Embedded Mobile Eye Tracking Using Appearance-Based Gaze Estimation
ACM SIGMOBILE Mobile Computing and Communications Review, 23(2), pp. 30-34, 2019.
PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and Eye Movement Features
Proc. ACM International Symposium on Eye Tracking Research and Applications (ETRA), pp. 1–10, 2019.
Privacy-Aware Eye Tracking Using Differential Privacy
Proc. ACM International Symposium on Eye Tracking Research and Applications (ETRA), pp. 1–9, 2019.
Fixation Detection for Head-Mounted Eye Tracking Based on Visual Similarity of Gaze Targets
Proc. ACM International Symposium on Eye Tracking Research and Applications (ETRA), pp. 1–9, 2018.
Forecasting User Attention During Everyday Mobile Interactions Using Device-Integrated and Wearable Sensors
Proc. ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), pp. 1–13, 2018.
InvisibleEye: Mobile Eye Tracking Using Multiple Low-Resolution Cameras and Learning-Based Gaze Estimation
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 1(3), pp. 1–21, 2017.
3D Gaze Estimation from 2D Pupil Positions on Monocular Head-Mounted Eye Trackers
Proc. ACM International Symposium on Eye Tracking Research and Applications (ETRA), pp. 197-200, 2016.