An important model system for understanding genes, neurons and behavior, the nematode
worm C. elegans naturally moves through a variety of complex postures, for which …

This paper presents a realtime and accurate method for 3D eye gaze tracking with a
monocular RGB camera. Our key idea is to train a deep convolutional neural network …

Accurate lane detection, a crucial enabler for autonomous driving, currently relies on
obtaining a large and diverse labeled training dataset. In this work, we explore learning from …

Gaze estimation aims to accurately estimate the direction or position at which a person is
looking. With the development of deep learning techniques, a number of gaze estimation …

Abstract Learning-based Gaze Estimation leveraging deep neural networks has shown
remarkable progress in performing direct mapping of images of human subjects to their …

In recent years, gaze estimation has been applied to numerous application areas, such as
driver monitor system, autism assessment, and so on. However, current practical gaze …

This paper explores the ethical and effective utilization of synthetic image data in computer
vision deep learning. It addresses the challenges of acquiring real-world training data and …

This introductory chapter provides background to eye-tracking simulations from which the
work presented in this dissertation was motivated. Formulating this dissertation's aims then …