2 citations · 2 across the 5 of their papers we have counts for
5 papers
See or Recall: A Sanity Check for the Role of Vision in Solving Visualization Question Answer Tasks with Multimodal LLMs
Zhimin Li, Haichao Miao, Xinyuan Yan +3
Recent developments in multimodal large language models (MLLM) have equipped language models to reason about vision and language jointly. This permits MLLMs to both perceive and an…
The Visualization JUDGE : Can Multimodal Foundation Models Guide Visualization Design Through Visual Perception?
Matthew Berger, Shusen Liu
Foundation models for vision and language are the basis of AI applications across numerous sectors of society. The success of these models stems from their ability to mimic human c…
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…
Text-based Transfer Function Design for Semantic Volume Rendering
Sangwon Jeong, Jixian Li, Christopher Johnson +2
Transfer function design is crucial in volume rendering, as it directly influences the visual representation and interpretation of volumetric data. However, creating effective tran…
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…