Mikhail Startsev
Orcid: 0000-0001-6404-8263
According to our database1,
Mikhail Startsev
authored at least 12 papers
between 2016 and 2020.
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Bibliography
2020
PhD thesis, 2020
Supersaliency: A Novel Pipeline for Predicting Smooth Pursuit-Based Attention Improves Generalisability of Video Saliency.
IEEE Access, 2020
2019
A Ground-Truth Data Set and a Classification Algorithm for Eye Movements in 360-degree Videos.
CoRR, 2019
360-degree Video Gaze Behaviour: A Ground-Truth Data Set and a Classification Algorithm for Eye Movements.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019
A novel gaze event detection metric that is not fooled by gaze-independent baselines.
Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019
2018
Signal Process. Image Commun., 2018
Supersaliency: Predicting Smooth Pursuit-Based Attention with Slicing CNNs Improves Fixation Prediction for Naturalistic Videos.
CoRR, 2018
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 2018
Increasing Video Saliency Model Generalizability by Training for Smooth Pursuit Prediction.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
2016
In the pursuit of (ground) truth: a hand-labelling tool for eye movements recorded during dynamic scene viewing.
Proceedings of the 2016 IEEE Second Workshop on Eye Tracking and Visualization, 2016
Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 2016