Demo Data from SIGIR 2026 / reviewers in the wild / expert
Inkyu Han
dblp:01/5402
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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 |
Geometric modeling and processing · 88% Virtual and augmented reality · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
3d reconstruction |
0.1 | 1 | 2011 | Graph-cut-based 3D model segmentation for articulated object reconstruction · ISMAR 2011 |
Geometric modeling and processing › 3d reconstruction › non-rigid 3d reconstruction
articulated object reconstruction |
0.1 | 1 | 2011 | Graph-cut-based 3D model segmentation for articulated object reconstruction · ISMAR 2011 |
Virtual and augmented reality
augmented reality |
0.0 | 1 | 2011 | Graph-cut-based 3D model segmentation for articulated object reconstruction · ISMAR 2011 |
Geometric modeling and processing › deformable models
deformable object modeling |
0.0 | 1 | 2011 | Graph-cut-based 3D model segmentation for articulated object reconstruction · ISMAR 2011 |
Methods — techniques the papers use, named apart from their topics
graph-cut segmentation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Graph-cut-based 3D model segmentation for articulated object reconstructionabstractThe three-dimensional (3D) reconstruction of objects has been well studied in the literature of augmented reality (AR) [1, 2]. Most existing studies have assumed that the to-be-constructed target object is rigid, whereas objects in the real world can be dynamic or deformable. Therefore, AR systems are required to deal with non-rigid objects to be adaptive to environmental changes. In this paper, we address the problem of reconstructing articulated objects as a starting point for modeling deformable objects. An articulated object is composed of partially rigid components linked with joints. After building a mesh model of the object, the model is segmented into the components along their boundaries by a graph-cut-based approach that we propose. Inkyu Han, Hyoungnyoun Kim, Ji-Hyung Park |
ISMAR | 1 |
| 2007 | Security and Test Environment for SIP
Geuk Lee, Seok Tae Kim, Inkyu Han, Chang Yong Lee, Seon Ho Park, Do Won Yi, Jung Min Oh |
ICCSA (2) | 3 |