Agtzidis, I.; Alashqar, A.; Judeh, R.; Startsev, M.; Vig, E.; Dorr, M.Eye movement prediction for naturalistic videos using C3D featuresInternational Conference on Computer Vision Workshop on Mutual Benefits of Cognitive and Computer Vision2017
Agtzidis, I.; Startsev, M.; Dorr, M.360-degree Video Gaze Behaviour: A Ground-Truth Data Set and a Classification Algorithm for Eye Movementspp. 1007-1015Proc. 27th ACM International Conference on Multimedia, MM '192019
Agtzidis, I.; Startsev, M.; Dorr, M.In the pursuit of (ground) truth: A hand-labelling tool for eye movements recorded during dynamic scene viewingpp. 65-68Second Workshop on Eye Tracking and Visualization (ETVIS 2016)2016
Agtzidis, I.; Startsev, M.; Dorr, M.Smooth Pursuit Detection Based on Multiple Observerspp. 303-306Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications ETRA '162016
Agtzidis, Ioannis;Startsev, Mikhail;Dorr, MichaelTwo hours in Hollywood: A manually annotated ground truth data set of eye movements during movie clip watchingJournal of Eye Movement Research2020134Oct.
Silberg, J.E., Agtzidis, I., Startsev, M.; Fasshauer, T.; Silling, K.; Sprenger, A.; Dorr, M.; Lencer, R.Free visual exploration of natural movies in schizophreniaEuropean Archives of Psychiatry and Clinical Neuroscience2018Vol. 269, Issue 4Janpp. 407-418
Startsev, M.; Agtzidis, I.; Dorr, M.Characterising and automatically detecting smooth pursuit in a large-scale ground-truth data set of dynamic natural scenesJournal of Vision2020Vol. 19, Issue 14Decpp. 1-25
Startsev, M.; Agtzidis,I.; Dorr, M.1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuitsBehavior Research Methods2018Vol. 51, Issue 2Novpp. 556–572
Startsev, M.; Agtzidis,I.; Dorr, M.Deep learning vs. manual annotation of eye movementsArticle No. 101Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (ETRA 18)2018
Startsev, M.; Dorr, M.Supersaliency: A Novel Pipeline for Predicting Smooth Pursuit-Based Attention Improves Generalisability of Video SaliencyIEEE Xplore2020Vol. 8pp. 1276-1289