Demo Data from EDBT 2026 / reviewers in the wild / expert
Jibing Chen
dblp:86/4326
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 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 · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
vectorization |
0.0 | 1 | 2000 | Line Net Global Vectorization: an Algorithm and Its Performance Evaluation · CVPR 2000 |
Methods — techniques the papers use, named apart from their topics
seed segment extraction · 0.1pixel tracking · 0.1line net vectorization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Line Net Global Vectorization: an Algorithm and Its Performance EvaluationabstractIn this paper, an efficient global algorithm for vectorizing line drawings is presented. It first extracts a seed segment of a graphic entity from a raster image to obtain its direction and width, then tracks the pixels under the guidance of the direction so that the tracking can track through functions and is not affected by noise and degradation of image quality. Thus, an entity will be vectorized in one step without postprocessing. The relations among lines are also used to realize the continuous vectorization of a line net. The speed and quality of vectorization are greatly improved with this algorithm. The performance evaluation is carried out both by theoretical analysis and by experiments. Comparisons with other vectorization algorithms are also made. Jiqiang Song, Feng Su, Jibing Chen, Chiew-Lan Tai, Shijie Cai |
CVPR | 3 |
| 2000 | A Knowledge-Aided Line Network Oriented Vectorisation Method for Engineering Drawings
Jiqiang Song, Feng Su, Jibing Chen, Shijie Cai |
Pattern Anal. Appl. | 3 |