| Variability of eye movements when viewing dynamic natural scenes M Dorr, T Martinetz, KR Gegenfurtner, E Barth Journal of vision 10 (10), 28-28, 2010 | 480 | 2010 |
| Large-scale optimization of hierarchical features for saliency prediction in natural images E Vig, M Dorr, D Cox Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 454 | 2014 |
| Learning to see: Guiding students' attention via a model's eye movements fosters learning H Jarodzka, T Van Gog, M Dorr, K Scheiter, P Gerjets Learning and Instruction 25, 62-70, 2013 | 243 | 2013 |
| Space-variant descriptor sampling for action recognition based on saliency and eye movements E Vig, M Dorr, D Cox Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 147 | 2012 |
| Rapid and reliable assessment of the contrast sensitivity function on an iPad M Dorr, LA Lesmes, ZL Lu, PJ Bex Investigative ophthalmology & visual science 54 (12), 7266-7273, 2013 | 105 | 2013 |
| Development of pattern vision following early and extended blindness A Kalia, LA Lesmes, M Dorr, T Gandhi, G Chatterjee, S Ganesh, PJ Bex, ... Proceedings of the National Academy of Sciences 111 (5), 2035-2039, 2014 | 94 | 2014 |
| 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 | 75 | 2019 |
| Rapid measurement of visual sensitivity P Bex, M Dorr, L Lesmes, ZL Lu US Patent 9,700,201, 2017 | 65 | 2017 |
| Gaze beats mouse: a case study M Dorr, M Böhme, T Martinetz, E Barth Proceedings of COGAIN, 16-19, 2007 | 57 | 2007 |
| 360-aware saliency estimation with conventional image saliency predictors M Startsev, M Dorr Signal Processing: Image Communication 69, 43-52, 2018 | 56 | 2018 |
| Using 10AFC to further improve the efficiency of the quick CSF method F Hou, L Lesmes, P Bex, M Dorr, ZL Lu Journal of vision 15 (9), 2-2, 2015 | 55 | 2015 |
| Peri-saccadic natural vision M Dorr, PJ Bex Journal of Neuroscience 33 (3), 1211-1217, 2013 | 54 | 2013 |
| Impact of dynamic bottom-up features and top-down control on the visual exploration of moving real-world scenes in hemispatial neglect B Machner, M Dorr, A Sprenger, J von der Gablentz, W Heide, E Barth, ... Neuropsychologia 50 (10), 2415-2425, 2012 | 51 | 2012 |
| Intrinsic dimensionality predicts the saliency of natural dynamic scenes E Vig, M Dorr, T Martinetz, E Barth IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1080-1091, 2011 | 49 | 2011 |
| Efficient visual coding and the predictability of eye movements on natural movies E Vig, M Dorr, E Barth Spatial Vision 22 (5), 397-408, 2009 | 48 | 2009 |
| Gaze guidance reduces the number of collisions with pedestrians in a driving simulator L Pomarjanschi, M Dorr, E Barth ACM Transactions on Interactive Intelligent Systems (TiiS) 1 (2), 1-14, 2012 | 45 | 2012 |
| A software framework for simulating eye trackers M Böhme, M Dorr, M Graw, T Martinetz, E Barth Proceedings of the 2008 symposium on Eye tracking research & applications …, 2008 | 44 | 2008 |
| Gaze beats mouse: A case study on a gaze-controlled breakout. M Dorr, L Pomarjanschi, E Barth PsychNology Journal 7 (2), 2009 | 41 | 2009 |
| Eye movement predictions on natural videos M Böhme, M Dorr, C Krause, T Martinetz, E Barth Neurocomputing 69 (16-18), 1996-2004, 2006 | 41 | 2006 |
| GazeEverywhere: enabling gaze-only user interaction on an unmodified desktop PC in everyday scenarios S Schenk, M Dreiser, G Rigoll, M Dorr Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 39 | 2017 |
Erhardt BarthProfessor of Computer Science, University of LübeckBestätigte E-Mail-Adresse bei inb.uni-luebeck.de
