Demo Data from EDBT 2026 / reviewers in the wild / expert
Guoming Xiong
dblp:61/6845
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
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 |
Computer animation and physical simulation · 50% Geometric modeling and processing · 50% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
3d scene modeling |
0.5 | 1 | 2021 | Motion Planning for Convertible Indoor Scene Layout Design · IEEE Trans. Vis. Comput. Graph. 2021 |
Computer animation and physical simulation
motion planning |
0.5 | 1 | 2021 | Motion Planning for Convertible Indoor Scene Layout Design · IEEE Trans. Vis. Comput. Graph. 2021 |
Robotics › Motion planning and robot control
trajectory optimization |
0.1 | 1 | 2021 | Motion Planning for Convertible Indoor Scene Layout Design · IEEE Trans. Vis. Comput. Graph. 2021 |
Methods — techniques the papers use, named apart from their topics
collision avoidance · 1.0spacetime optimization · 0.5space-time optimization · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Motion Planning for Convertible Indoor Scene Layout DesignabstractWe present a system for designing indoor scenes with convertible furniture layouts. Such layouts are useful for scenarios where an indoor scene has multiple purposes and requires layout conversion, such as merging multiple small furniture objects into a larger one or changing the locus of the furniture. We aim at planning the motion for the convertible layouts of a scene with the most efficient conversion process. To achieve this, our system first establishes object-level correspondences between the layout of a given source and that of a reference to compute a target layout, where the objects are re-arranged in the source layout with respect to the reference layout. After that, our system initializes the movement paths of objects between the source and target layouts based on various mechanical constraints. A joint space-time optimization is then performed to program a control stream of object translations, rotations, and stops, under which the movements of all objects are efficient and the potential object collisions are avoided. We demonstrate the effectiveness of our system through various design examples of multi-purpose, indoor scenes with convertible layouts. Guoming Xiong, Qiang Fu 0004, Hongbo Fu 0001, Guoliang Luo, Zhigang Deng 0001 |
IEEE Trans. Vis. Comput. Graph. | 1 |