50 citations · 203 across the 12 of their papers we have counts for
16 papers
MeTACAST: Target- and Context-aware Spatial Selection in VR
Lixiang Zhao, Tobias Isenberg, Fuqi Xie +2
We propose three novel spatial data selection techniques for particle data in VR visualization environments. They are designed to be target- and context-aware and be suitable for a…
Interpolation of Point Distributions for Digital Stippling
Germán Arroyo, Domingo Martín, Tobias Isenberg
We present a new way to merge any two point distribution approaches using distance fields. Our new process allows us to produce digital stippling that fills areas with stipple dots…
Design Characterization for Black-and-White Textures in Visualization
Tingying He, Yuanyang Zhong, Petra Isenberg +1
We investigate the use of 2D black-and-white textures for the visualization of categorical data and contribute a summary of texture attributes, and the results of three experiments…
Not As Easy As You Think -- Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology
Jian Chen, Petra Isenberg, Robert S. Laramee +4
We present and discuss the results of a two-year qualitative analysis of images published in IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization…
BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations
Tingying He, Petra Isenberg, Raimund Dachselt +1
We developed and validated a rating scale to assess the aesthetic pleasure (or beauty) of a visual data representation: the BeauVis scale. With our work we offer researchers and pr…
Document Domain Randomization for Deep Learning Document Layout Extraction
Meng Ling, Jian Chen, Torsten Möller +7
We present document domain randomization (DDR), the first successful transfer of convolutional neural networks (CNNs) trained only on graphically rendered pseudo-paper pages to rea…