From 13 to 18 October, researchers and experts from the field of visualization will once again gather at IEEE VIS to exchange the latest findings on the design and use of visualization tools. In 2024, the world's most renowned conference in the field of visualization research was originally scheduled to take place in St. Pete Beach, Florida, USA. Due to the consequences of hurricane Helene and Milton for the Tampa Bay Area, however, IEEE VIS 2024 was converted to a fully virtual format.
With an acceptance rate of generally less than 25%, IEEE VIS is highly selective. We are therefore particularly delighted to announce that VIS and VISUS are represented at IEEE VIS and the associated workshops and events with numerous contributions.
VIS Full Papers
- Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess
Authors: Tim Krake, Daniel Klötzl, David Hägele, Daniel Weiskopf - Active Gaze Labeling: Visualization for Trust Building
Authors: Maurice Koch, Nan Cao, Daniel Weiskopf, Kuno Kurzhals - Visual Analysis of Multi-outcome Causal Graphs
Authors: Mengjie Fan, Jinlu Yu, Daniel Weiskopf, Nan Cao, Huaiyu Wang, Liang Zhou
VIS Short Papers
- Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking
Authors: Fairouz Grioui, Tanja Blascheck, Lijie Yao, Petra Isenberg - Two-point Equidistant Projection and Degree-of-interest Filtering for Smooth Exploration of Geo-referenced Networks
Authors: Max Franke, Samuel Beck, Steffen Koch
Contributions to workshops and associated events
- Bridging Quantitative and Qualitative Methods for Visualization Research: A Data/Semantics Perspective in the Light of Advanced AI (Paper, BELIV 2024 Workshop)
Author: Daniel Weiskopf - Testing the Test: Observations When Assessing Visualization Literacy of Domain Experts (Paper, BELIV 2024 Workshop)
Authors: Seyda Öney, Moataz Abdelaal, Kuno Kurzhals, Paul Betz, Cordula Kropp, Daniel Weiskopf - Progressive Glimmer: Expanding Dimensionality in Multidimensional Scaling (Paper, PDAV Workshop)
Authors: Marina Evers, David Hägele, Sören Döring, Daniel Weiskopf - UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox (Poster, IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks)
Authors: Patrick Paetzold, David Hägele, Marina Evers, Daniel Weiskopf, and Oliver Deussen - Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions (Paper, 13th IEEE Symposium on Large Data Analysis and Visualization (LDAV))
Authors: Luca Marcel Reichmann, David Hägele, Daniel Weiskopf
At the IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks, Daniel Weiskopf, Professor of Visualization, will give the keynote speech. The workshop Progressive Data Analysis and Visualization (PDAV), which is taking place for the first time this year, is co-chaired by Michael Sedlmair who holds the professorship for Augmented and Virtual Reality at VISUS.
We wish our team a successful time at IEEE VIS 2024!