Demo Data from VLDB 2026 / reviewers in the wild / expert
Hongjun Jeon
dblp:19/6848
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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 · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation
deformable body simulation |
0.1 | 1 | 2007 | Interactive Motion Control of Deformable Objects Using Localized Optimal Control · ICRA 2007 |
Computer animation and physical simulation › motion control
interactive motion control |
0.1 | 1 | 2007 | Interactive Motion Control of Deformable Objects Using Localized Optimal Control · ICRA 2007 |
Methods — techniques the papers use, named apart from their topics
optimal path generation · 0.1localized optimal control · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Interactive Motion Control of Deformable Objects Using Localized Optimal ControlabstractIn this paper we present a novel interactive method and interface techniques for controlling the behavior of physically-based simulation of deformable objects. The goal of our research is to provide users an ability to control the motion which appears physically correct, preserves the moving pattern of the original motion, and satisfies goals for a deformable object. In our approach, a user can select any part of the deformable structure, called control points, and can define target poses by moving control points. A user also can define target poses then our system automatically generates the motion path to achieve the target pose. With this technique patient specific organ simulation can be achieved by using a stream of image data. A series of sectional images can be the target poses. The optimal path generator computes the required control parameters that steer the intended node to the desired goal position while preserving the moving pattern of the original motion. It guarantees that the edited motion is physically conforming and natural. Hongjun Jeon, Min-Hyung Choi |
ICRA | 1 |