6 citations · 8 across the 3 of their papers we have counts for
4 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…
TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps
Angeliki Grammatikaki, Johannes Eschner, Pedro Hermosilla +2
We present TreeON, a novel neural-based framework for reconstructing detailed 3D tree point clouds from sparse top-down geodata, using only a single orthophoto and its correspondin…
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…
Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations
Johannes Eschner, Peter Mindek, Manuela Waldner
3D animations are an effective method to learn about complex dynamic phenomena, such as mesoscale biological processes. The animators' goals are to convey a sense of the scene's ov…