Human attention modeling, including human gaze modeling, eye tracking, have been key areas of focus in computer vision and pattern recognition research over the past decade. These dynamic fields have evolved from various perspectives, shaped by the diverse expertise and objectives of researchers. Despite recent advancements in technologies such as large vision and language models, these innovations have yet to be fully integrated into current research. Additionally, while the potential applications of gaze estimation, attention prediction and eye tracking across images, videos, and audio are vast, there remains a lack of groundbreaking approaches that push the boundaries of the field.

The Workshop on Human Gaze and Visual Attention Modeling aims to address this gap by providing a platform for introducing novel ideas and methodologies in human attention modeling, and gaze estimation and eye tracking. The workshop will also explore the intersection of these fields with emerging domains, such as human-computer interaction (HCI), robotics, autonomous systems and medical image analysis. By highlighting the broader, yet still underexplored, opportunities of gaze and human-attention and eye tracking research in real-world applications, we aim to spark new interdisciplinary collaborations.

Through this workshop, we aim to encourage forward-looking discussions that move beyond conventional computer vision applications and address meaningful real-world challenges. Our goal is to inspire the next wave of research and broaden the impact of human visual attention, eye-tracking, and gaze-based methods across diverse industries and domains.