381 citations · 500 across the 9 of their papers we have counts for
10 papers
Mystique: Deconstructing SVG Charts for Layout Reuse
Chen Chen, Bongshin Lee, Yunhai Wang +2
To facilitate the reuse of existing charts, previous research has examined how to obtain a semantic understanding of a chart by deconstructing its visual representation into reusab…
Reducing Ambiguities in Line-based Density Plots by Image-space Colorization
Yumeng Xue, Patrick Paetzold, Rebecca Kehlbeck +4
Line-based density plots are used to reduce visual clutter in line charts with a multitude of individual lines. However, these traditional density plots are often perceived ambiguo…
Force-Directed Graph Layouts Revisited: A New Force Based on the T-Distribution
Fahai Zhong, Mingliang Xue, Jian Zhang +4
In this paper, we propose the t-FDP model, a force-directed placement method based on a novel bounded short-range force (t-force) defined by Student's t-distribution. Our formulati…
Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots
Kecheng Lu, Khairi Reda, Oliver Deussen +1
Color is one of the main visual channels used for highlighting elements of interest in visualization. However, in multi-class scatterplots, color highlighting often comes at the ex…
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Jiazhi Xia, Yuchen Zhang, Jie Song +3
Dimensionality Reduction (DR) techniques can generate 2D projections and enable visual exploration of cluster structures of high-dimensional datasets. However, different DR techniq…
SpEuler: Semantics-preserving Euler Diagrams
Rebecca Kehlbeck, Jochen Görtler, Yunhai Wang +1
Creating comprehensible visualizations of highly overlapping set-typed data is a challenging task due to its complexity. To facilitate insights into set connectivity and to leverag…
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
Zhiyi Pan, Peng Jiang, Yunhai Wang +2
Scribble-supervised semantic segmentation has gained much attention recently for its promising performance without high-quality annotations. Due to the lack of supervision, confide…
Palettailor: Discriminable Colorization for Categorical Data
Kecheng Lu, Mi Feng, Xin Chen +5
We present an integrated approach for creating and assigning color palettes to different visualizations such as multi-class scatterplots, line, and bar charts. While other methods…
Implicit Multidimensional Projection of Local Subspaces
Rongzheng Bian, Yumeng Xue, Liang Zhou +4
We propose a visualization method to understand the effect of multidimensional projection on local subspaces, using implicit function differentiation. Here, we understand the local…
Deep-Learning Inversion of Seismic Data
Shucai Li, Bin Liu, Yuxiao Ren +4
We propose a new method to tackle the mapping challenge from time-series data to spatial image in the field of seismic exploration, i.e., reconstructing the velocity model directly…