Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yi-Bo Kou
dblp:389/6882
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0001-7011-6135ORCID · reported
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 |
Geometric modeling and processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › mesh processing › feature preservation
sharp feature preservation |
0.8 | 1 | 2024 | Adaptive Spline Surface Fitting With Arbitrary Topological Control Mesh · IEEE Trans. Vis. Comput. Graph. 2024 |
Geometric modeling and processing
surface fitting |
0.8 | 1 | 2024 | Adaptive Spline Surface Fitting With Arbitrary Topological Control Mesh · IEEE Trans. Vis. Comput. Graph. 2024 |
Methods — techniques the papers use, named apart from their topics
iterative refinement · 0.8adaptive control point adjustment · 0.8G-NURBS · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Adaptive Spline Surface Fitting With Arbitrary Topological Control MeshabstractReconstructing a spline surface from a given arbitrary topological triangle mesh is a fundamental and challenging problem in computer-aided design and engineering. This article introduces a novel surface fitting method utilizing G-NURBS capable of handling control meshes with arbitrary topologies. This method employs adaptive control point adjustment, guided by the geometric attributes of the input model, ensuring precise representation of sharp features such as edges and corners. Two primary strategies are employed: A parameter correspondence approach designed for sharp features and a control mesh iterative refinement technique that incorporates geometrical feature information. The proposed method has been tested and evaluated on various CAD models to demonstrate its effectiveness. This method can achieve higher fitting accuracy while faithfully preserving the geometrical features with fewer control points. Yi-Bo Kou, Yifei Feng 0001, Li-Yong Shen, Xin Li 0021, Chun-Ming Yuan |
IEEE Trans. Vis. Comput. Graph. | 1 |