Demo Data from EDBT 2026 / reviewers in the wild / expert
Arpan Mangal
dblp:254/0164
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › data visualization › animated visualization › motion visualization
trajectory visualization |
0.4 | 1 | 2020 | OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling · IEEE Trans. Vis. Comput. Graph. 2020 |
Methods — techniques the papers use, named apart from their topics
smooth morphing · 0.4min-cut algorithm · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | OD Morphing: Balancing Simplicity with Faithfulness for OD BundlingabstractOD bundling is a promising method to identify key origin-destination (OD) patterns, but the bundling can mislead the interpretation of actual trajectories traveled. We present OD Morphing, an interactive OD bundling technique that improves geographical faithfulness to actual trajectories while preserving visual simplicity for OD patterns. OD Morphing iteratively identifies critical waypoints from the actual trajectory network with a min-cut algorithm and transitions OD bundles to pass through the identified waypoints with a smooth morphing method. Furthermore, we extend OD Morphing to support bundling at interaction speeds to enable users to interactively transition between degrees of faithfulness to aid sensemaking. We introduce metrics for faithfulness and simplicity to evaluate their trade-off achieved by OD morphed bundling. We demonstrate OD Morphing on real-world city-scale taxi trajectory and USA domestic planned flight datasets. Xu Liu 0014, Hanyi Chen, Arpan Mangal, Kai Liu 0001, Chao Chen 0004, Brian Y. Lim |
IEEE Trans. Vis. Comput. Graph. | 4 |