Mikhail Startsev
Mikhail Startsev
AI Software Developer, Snke OS GmbH
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
360-aware saliency estimation with conventional image saliency predictors
M Startsev, M Dorr
Signal Processing: Image Communication 69, 43-52, 2018
412018
1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits
M Startsev, I Agtzidis, M Dorr
Behavior Research Methods 51 (2), 556-572, 2019
372019
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
182016
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
162016
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 (4), 407-418, 2019
142019
Smooth pursuit
M Startsev, I Agtzidis, M Dorr
102016
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
82019
Classifying autism spectrum disorder based on scanpaths and saliency
M Startsev, M Dorr
2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019
82019
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
42019
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
42018
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
32019
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
22019
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
12019
Sequence-to-Sequence Deep Learning for Eye Movement Classification
M Startsev, I Agtzidis, M Dorr
PERCEPTION 48, 200-200, 2019
12019
Supersaliency: Predicting Smooth Pursuit-Based Attention with Slicing CNNs Improves Fixation Prediction for Naturalistic Videos
M Startsev, M Dorr
12018
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
2020
Determining retinal nerve fiber layer thickness vulnerability zones in mild glaucoma with rescaled optic nerve heads
RCS Wong, M Startsev, Y Li, EY Choi, D Li, L Shen, L Pasquale, ...
Investigative Ophthalmology & Visual Science 61 (9), PB005-PB005, 2020
2020
Determining aligned retinal nerve fiber layer thickness (RNFLT) vulnerability zones in mild glaucoma
RCS Wong, M Startsev, Y Li, EY Choi, D Li, L Shen, LR Pasquale, ...
Investigative Ophthalmology & Visual Science 61 (7), 1970-1970, 2020
2020
Characterising 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), pp. 1-25, 2020
2020
Computationally Modelling Human Visual Perception: Eye Movements and Saliency
M Startsev
Technische Universität München, 2020
2020
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Articles 1–20