In recent years, we have witnessed an increasing number of interactive systems on
handheld mobile devices which utilise gaze as a single or complementary interaction …

Virtual and augmented reality (VR/AR) are expected to revolutionise entertainment,
healthcare, communication and the manufacturing industries among many others. Near‐eye …

Augmented reality (AR) aims to present virtual objects at real-world positions and
orientations, without compromising the viewer's natural vision. These objects may be …

Quality, diversity, and size of training data are critical factors for learning-based gaze
estimators. We create two datasets satisfying these criteria for near-eye gaze estimation …

We present TEyeD, the world's largest unified public data set of eye images taken with head-
mounted devices. TEyeD was acquired with seven different head-mounted eye trackers …

In this paper, we use fully convolutional neural networks for the semantic segmentation of
eye tracking data. We also use these networks for reconstruction, and in conjunction with a …

In this work, we compare the use of convolution, binary, and decision tree layers in neural
networks for the estimation of pupil landmarks. These landmarks are used for the …

In this paper we present GroupGaze. It is a tool that can be used to calculate the gaze
direction and the gaze position of whole groups. GroupGazer calculates the gaze direction …

We present a new dataset with annotated eye movements. The dataset consists of over
800,000 gaze points recorded during a car ride in the real world and in the simulator. In total …

Human gaze behavior is not the only important aspect about eye tracking. The eyelids
reveal additional important information; such as fatigue as well as the pupil size holds …