3 papers
cs.HC2025
Evaluating judgment of spatial correlation in visual displays of scalar field distributions
Yayan Zhao, Matthew Berger
In this work we study the identification of spatial correlation in distributions of 2D scalar fields, presented across different forms of visual displays. We study simple visual di…
cs.CV2024
Graphical Perception of Saliency-based Model Explanations
Yayan Zhao, Mingwei Li, Matthew Berger
In recent years, considerable work has been devoted to explaining predictive, deep learning-based models, and in turn how to evaluate explanations. An important class of evaluation…
cs.CV2024
CUPID: Contextual Understanding of Prompt-conditioned Image Distributions
Yayan Zhao, Mingwei Li, Matthew Berger
We present CUPID: a visualization method for the contextual understanding of prompt-conditioned image distributions. CUPID targets the visual analysis of distributions produced by…