Doctoral Project: Object-based attention in dynamic visual scene processing

Part of research project: Object-level scene descriptions and attention in visual search

Principal Investigators

Description of the doctoral project

In this project we will explore the hypothesis that object-level attentional units are essential mid-level factors in guiding human eye-movements in dynamic visual scenes. We will partner with colleagues in the synthetic disciplines to build computational models to emulate the measured fixation sequences, to quantify the influence of different low- and high-level visual features, and to assess the role of object-based attention. The goal is to leverage computer vision algorithms and computational modeling to better understand processes of selective attention in human vision and to use the insights gained to improve synthetic perceptual algorithms.

 

Project start date: October 1, 2019

Prerequisites

Applicants must hold a Master’s degree in Cognitive Science, Psychology, Neuroscience, or related fields at the time of the project start. Skills in the following domains are desirable:

  • Strong interest in attention, action and perception
  • Experience in psychophysics and eye tracking
  • Programming in Matlab / Python / R for experimental control and data analysis
  • Willingness to engage in close collaboration with colleagues in computer science
  • Good command of the English language (spoken and written)

Contact

User registration

You don't have permission to register

Reset Password