84 citations · 86 across the 3 of their papers we have counts for
5 papers
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…
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…