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Guoming Xiong

dblp:61/6845 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
3d scene modeling
0.512021
Motion Planning for Convertible Indoor Scene Layout Design · IEEE Trans. Vis. Comput. Graph. 2021
Computer animation and physical simulation
motion planning
0.512021
Motion Planning for Convertible Indoor Scene Layout Design · IEEE Trans. Vis. Comput. Graph. 2021
Robotics › Motion planning and robot control
trajectory optimization
0.112021
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
YearPublicationVenuePosition
2021 Motion Planning for Convertible Indoor Scene Layout Design
abstract
We 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