4 papers
SNAP: A Benchmark for Testing the Effects of Capture Conditions on Fundamental Vision Tasks
Iuliia Kotseruba, John K. Tsotsos
Generalization of deep-learning-based (DL) computer vision algorithms to various image perturbations is hard to establish and remains an active area of research. The majority of pa…
SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction
Iuliia Kotseruba, John K. Tsotsos
Accurate prediction of drivers' gaze is an important component of vision-based driver monitoring and assistive systems. Of particular interest are safety-critical episodes, such as…
Data Limitations for Modeling Top-Down Effects on Drivers' Attention
Iuliia Kotseruba, John K. Tsotsos
Driving is a visuomotor task, i.e., there is a connection between what drivers see and what they do. While some models of drivers' gaze account for top-down effects of drivers' act…
Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation
Iuliia Kotseruba, John K. Tsotsos
To further advance driver monitoring and assistance systems, it is important to understand how drivers allocate their attention, in other words, where do they tend to look and why.…