2 citations · 2 across the 5 of their papers we have counts for
6 papers
Exploratory Unstructured Data Analysis: A Formative Study and Implications for Human-AI Collaboration
Johannes Eschner, Dominik Eitler, Max Irendorfer +3
We propose a conceptual framework for exploratory data analysis of (large) unstructured data (EluDA), combining classical elements (querying, visualization) with active knowledge c…
A Matter of Time: Revealing the Structure of Time in Vision-Language Models
Nidham Tekaya, Manuela Waldner, Matthias Zeppelzauer
Large-scale vision-language models (VLMs) such as CLIP have gained popularity for their generalizable and expressive multimodal representations. By leveraging large-scale training…
Data-Driven Compute Overlays for Interactive Geographic Simulation and Visualization
Patrick Komon, Gerald Kimmersdorfer, Adam Celarek +1
We present interactive data-driven compute overlays for native and web-based 3D geographic map applications based on WebGPU. Our data-driven overlays are generated in a multi-step…
Scalable Class-Centric Visual Interactive Labeling
Matthias Matt, Jana Sedlakova, Jürgen Bernard +2
Large unlabeled datasets demand efficient and scalable data labeling solutions, in particular when the number of instances and classes is large. This leads to significant visual sc…
Interactive Discovery and Exploration of Visual Bias in Generative Text-to-Image Models
Johannes Eschner, Roberto Labadie-Tamayo, Matthias Zeppelzauer +1
Bias in generative Text-to-Image (T2I) models is a known issue, yet systematically analyzing such models' outputs to uncover it remains challenging. We introduce the Visual Bias Ex…
cVIL: Class-Centric Visual Interactive Labeling
Matthias Matt, Matthias Zeppelzauer, Manuela Waldner
We present cVIL, a class-centric approach to visual interactive labeling, which facilitates human annotation of large and complex image data sets. cVIL uses different property meas…