| 1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits M Startsev, I Agtzidis, M Dorr Behavior Research Methods 51, 556-572, 2019 | 95 | 2019 |
| 360-aware saliency estimation with conventional image saliency predictors M Startsev, M Dorr Signal Processing: Image Communication 69, 43-52, 2018 | 66 | 2018 |
| 360-degree video gaze behaviour: A ground-truth data set and a classification algorithm for eye movements I Agtzidis, M Startsev, M Dorr Proceedings of the 27th ACM International Conference on Multimedia, 1007-1015, 2019 | 44 | 2019 |
| Classifying autism spectrum disorder based on scanpaths and saliency M Startsev, M Dorr 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019 | 30 | 2019 |
| Smooth pursuit detection based on multiple observers I Agtzidis, M Startsev, M Dorr Proceedings of the ninth biennial acm symposium on eye tracking research …, 2016 | 27 | 2016 |
| In the pursuit of (ground) truth: A hand-labelling tool for eye movements recorded during dynamic scene viewing I Agtzidis, M Startsev, M Dorr 2016 IEEE Second workshop on eye tracking and visualization (ETVIS), 65-68, 2016 | 22 | 2016 |
| Free visual exploration of natural movies in schizophrenia JE Silberg, I Agtzidis, M Startsev, T Fasshauer, K Silling, A Sprenger, ... European archives of psychiatry and clinical neuroscience 269, 407-418, 2019 | 20 | 2019 |
| Characterizing and automatically detecting smooth pursuit in a large-scale ground-truth data set of dynamic natural scenes M Startsev, I Agtzidis, M Dorr Journal of Vision 19 (14), 10-10, 2019 | 16 | 2019 |
| Smooth pursuit M Startsev, I Agtzidis, M Dorr オンライン]. Available: http://michaeldorr. de/smoothpursuit/.[アクセス日: 28 1 2020], 2016 | 15 | 2016 |
| Evaluating eye movement event detection: A review of the state of the art M Startsev, R Zemblys Behavior Research Methods 55 (4), 1653-1714, 2023 | 12 | 2023 |
| Two hours in Hollywood: A manually annotated ground truth data set of eye movements during movie clip watching I Agtzidis, M Startsev, M Dorr Journal of Eye Movement Research 13 (4), 2020 | 8 | 2020 |
| A ground-truth data set and a classification algorithm for eye movements in 360-degree videos I Agtzidis, M Startsev, M Dorr arXiv preprint arXiv:1903.06474, 2019 | 7 | 2019 |
| Supersaliency: a novel pipeline for predicting smooth pursuit-based attention improves generalisability of video saliency M Startsev, M Dorr IEEE Access 8, 1276-1289, 2019 | 5 | 2019 |
| Manual & automatic detection of smooth pursuit in dynamic natural scenes M Startsev, I Agtzidis, M Dorr Proceedings of the European conference of eye movements, 2017 | 5 | 2017 |
| A novel gaze event detection metric that is not fooled by gaze-independent baselines M Startsev, S Göb, M Dorr Proceedings of the 11th ACM symposium on eye tracking research …, 2019 | 4 | 2019 |
| Increasing video saliency model generalizability by training for smooth pursuit prediction M Startsev, M Dorr Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 4 | 2018 |
| Sequence-to-sequence deep learning for eye movement classification M Startsev, I Agtzidis, M Dorr Perception 48, 200-200, 2019 | 3 | 2019 |
| Improving the state of the art in eye movement event detection via trainable label correction. M Startsev, M Dorr Journal of Eye Movement Research 12 (7), 2019 | 1 | 2019 |
| Deep learning vs. manual annotation of eye movements M Startsev, I Agtzidis, M Dorr Proceedings of the 2018 ACM Symposium on Eye Tracking Research …, 2018 | 1 | 2018 |
| Supersaliency: Predicting Smooth Pursuit-Based Attention with Slicing CNNs Improves Fixation Prediction for Naturalistic Videos M Startsev, M Dorr | 1 | 2018 |
Michael DorrAdaptive Sensory TechnologyVerified email at tum.de
