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

Gaze estimation has become a subject of growing interest in recent research. Most of the
current methods rely on single-view facial images as input. Yet, it is hard for these …

Annotating gaze is an expensive and time-consuming endeavor requiring costly eye-
trackers or complex geometric calibration procedures. Although some eye-based …

Driver's eye gaze holds a wealth of cognitive and intentional cues crucial for intelligent
vehicles. Despite its significance research on in-vehicle gaze estimation remains limited due …

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 …

Gaze point estimation is an essential technology in extended reality devices, and plays a
vital role in the metaverse with consumer health. A challenging issue is the great variation …

Generating face image with specific gaze information has attracted considerable attention in
recent years. Existing approaches typically input gaze values directly for face generation …

Abstract Existing Deep Fully Convolutional Network (DFCN) based pupil segmentation
models have been shown to perform robust and accurate pupil detection. However, they …

This paper tackles the problem of passive gaze estimation using both event and frame data.
Considering inherently different physiological structures, it's intractable to accurately …

Gaze estimation plays a significant role in consumer electronics, particularly in the realm of
user interface and interactive technology. While existing methods rely on either few-shot …