11 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation
Binxu Wang, David Mayo, Arturo Deza +2
Self-supervised learning is a powerful way to learn useful representations from natural data. It has also been suggested as one possible means of building visual representation in…
cs.HC2017★ 11 cited
Attention Allocation Aid for Visual Search
Arturo Deza, Jeffrey R. Peters, Grant S. Taylor +2
This paper outlines the development and testing of a novel, feedback-enabled attention allocation aid (AAAD), which uses real-time physiological data to improve human performance i…
cs.CV2016★ 6 cited
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?
Arturo Deza, Miguel P. Eckstein
Previous studies have proposed image-based clutter measures that correlate with human search times and/or eye movements. However, most models do not take into account the fact that…