Smooth pursuit detection based on multiple observers. - Ioannis Agtzidis; Mikhail Startsev; Michael Dorr (ETRA, 2016)

In the pursuit of (ground) truth: a hand-labelling tool for eye movements recorded during dynamic scene viewing. - Ioannis Agtzidis; Mikhail Startsev; Michael Dorr (ETVIS, 2016)

Increasing Video Saliency Model Generalizability by Training for Smooth Pursuit Prediction. - Mikhail Startsev; Michael Dorr (CVPR Workshops, 2018)

Deep learning vs. manual annotation of eye movements. - Mikhail Startsev; Ioannis Agtzidis; Michael Dorr (ETRA, 2018)

Supersaliency: Predicting Smooth Pursuit-Based Attention with Slicing CNNs Improves Fixation Prediction for Naturalistic Videos. - Mikhail Startsev; Michael Dorr (CoRR, 2018)

360-aware saliency estimation with conventional image saliency predictors. - Mikhail Startsev; Michael Dorr (Signal Process. Image Commun., 2018)

A novel gaze event detection metric that is not fooled by gaze-independent baselines. - Mikhail Startsev; Stefan Göb; Michael Dorr (ETRA, 2019)

Classifying Autism Spectrum Disorder Based on Scanpaths and Saliency. - Mikhail Startsev; Michael Dorr (ICME Workshops, 2019)

360-degree Video Gaze Behaviour: A Ground-Truth Data Set and a Classification Algorithm for Eye Movements. - Ioannis Agtzidis; Mikhail Startsev; Michael Dorr (ACM Multimedia, 2019)

A Ground-Truth Data Set and a Classification Algorithm for Eye Movements in 360-degree Videos. - Ioannis Agtzidis; Mikhail Startsev; Michael Dorr (CoRR, 2019)

Supersaliency: A Novel Pipeline for Predicting Smooth Pursuit-Based Attention Improves Generalisability of Video Saliency. - Mikhail Startsev; Michael Dorr (IEEE Access, 2020)

Computationally Modelling Human Visual Perception: Eye Movements and Saliency. - Mikhail Startsev (2020)