Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …

Predicting human's gaze from egocentric videos serves as a critical role for human intention
understanding in daily activities. In this paper, we present the first transformer-based model …

The analysis of traffic patterns is crucial for enhancing safety and optimizing flow within
urban cities. While urban cities possess extensive camera networks for monitoring the raw …

In this letter, we propose a new method, Multi-Clue Gaze (MCGaze), to facilitate video gaze
estimation via capturing spatial-temporal interaction context among head, face, and eye in …

In this paper, we present the first transformer-based model to address the challenging
problem of egocentric gaze estimation. We observe that the connection between the global …

We tackle the challenging problems of 3D facial capture, head pose and gaze estimation.
We do so by extending MocapNET, a highly effective deep learning motion capture …

In this paper, we realize automatic visual recognition and direction estimation of pointing.
We introduce the first neural pointing understanding method based on two key contributions …

Gaze following estimates gaze targets of in-scene person by understanding human behavior
and scene information. Existing methods usually analyze scene images for gaze following …

The examination of ocular movements has a wide range of applications due to the current
developments in sensors that are now able to collect this biometric. This type of investigation …