16 citations · 16 across the 3 of their papers we have counts for
4 papers
Gaze Perception in Humans and CNN-Based Model
Nicole X. Han, William Yang Wang, Miguel P. Eckstein
Making accurate inferences about other individuals' locus of attention is essential for human social interactions and will be important for AI to effectively interact with humans.…
Medical Image Quality Metrics for Foveated Model Observers
Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
A recently proposed model observer mimics the foveated nature of the human visual system by processing the entire image with varying spatial detail, executing eye movements and scr…
Foveated Model Observers for Visual Search in 3D Medical Images
Miguel A. Lago, Craig K. Abbey, Miguel P. Eckstein
Model observers have a long history of success in predicting human observer performance in clinically-relevant detection tasks. New 3D image modalities provide more signal informat…
Assessment of Faster R-CNN in Man-Machine collaborative search
Arturo Deza, Amit Surana, Miguel P. Eckstein
With the advent of modern expert systems driven by deep learning that supplement human experts (e.g. radiologists, dermatologists, surveillance scanners), we analyze how and when d…