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My lab studies human vision, including visual search, peripheral vision, perceptual organization, and the impact of visual clutter on task performance. We take a three-pronged approach: 1) Computational modeling (computer vision-based, ideal observers, Monte Carlo simulations, and neurobiologically-inspired); 2) Behavioral experiments; and 3) Applying our models and understanding of human vision to applications such as image compression, design of user interfaces, and design of information visualizations.
Research Interests
Publications
Curriculum Vitae
Students and collaborators: Benjamin Balas, Xuetao Zhang, Livia Ilie, Jie Huang, Krista Ehinger, Alvin Raj