20 citations · 25 across the 4 of their papers we have counts for
5 papers
Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data
Omar Mena, Alexandre Kouyoumdjian, Lonni Besançon +3
We present a method for augmenting a Large Language Model (LLM) with a combination of text and visual data to enable accurate question answering in visualization of scientific data…
Adversarial Attacks on Machine Learning-Aided Visualizations
Takanori Fujiwara, Kostiantyn Kucher, Junpeng Wang +3
Research in ML4VIS investigates how to use machine learning (ML) techniques to generate visualizations, and the field is rapidly growing with high societal impact. However, as with…
VOICE: Visual Oracle for Interaction, Conversation, and Explanation
Donggang Jia, Alexandra Irger, Lonni Besancon +5
We present VOICE, a novel approach to science communication that connects large language models' (LLM) conversational capabilities with interactive exploratory visualization. VOICE…
Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling
Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1
This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…
From individual to population: Challenges in Medical Visualization
Charl P. Botha, Bernhard Preim, Arie Kaufman +2
In this paper, we first give a high-level overview of medical visualization development over the past 30 years, focusing on key developments and the trends that they represent. Dur…