Fixation Prediction: In this research we model a biologically plausible fixation control network which predicts the explicit sequence of fixations a person might execute when looking at an image. This research provides a useful tool for visual design feedback as well as a model for generating and testing new predictions for human eye movement control.

SMILER: The Saliency Model Implementation Library for Experimental Research (SMILER) was released in December 2018, and provides a centralized repository for saliency model code with a standardized API, thereby both reducing the human effort involved in applying saliency model code to new research as well as improving the reproducibility and consistency of saliency research.