2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.HC2024★ 2 cited
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs
Sangwon Jeong, Mingwei Li, Matthew Berger +1
As applications of generative AI become mainstream, it is important to understand what generative models are capable of producing, and the extent to which one can predictably contr…
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…