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

Human gaze is a crucial cue used in various applications such as human-robot interaction
and virtual reality. Recently, convolution neural network (CNN) approaches have made …

In this paper, we present EV-Eye, a first-of-its-kind large scale multimodal eye tracking
dataset aimed at inspiring research on high-frequency eye/gaze tracking. EV-Eye utilizes an …

Driver gaze plays a key role in different gaze-based applications, such as driver
attentiveness detection, visual distraction detection, gaze behavior understanding, and …

This paper proposes joint attention estimation in a single image. Different from related work
in which only the gaze-related attributes of people are independently employed,(I) their …

This paper aims to address the single image gaze target detection problem. Conventional
methods either focus on 2D visual cues or exploit additional depth information in a very …

Despite the recent remarkable achievement in gaze estimation, efficient and accurate
personalization of gaze estimation without labels is a practical problem but rarely touched …

Gaze estimation is a fundamental task in many applications of cognitive sciences, human–
computer interaction, and robotics. The purely data-driven appearance-based gaze …

Conventional appearance-based 3D gaze estimation methods generally use the roll of the
head pose to represent the eyeball's roll status by default. To reduce degrees of freedom of …

We propose a novel method on refining cross-person gaze prediction task with eye/face
images only by explicitly modelling the person-specific differences. Specifically, we first …