Demo Data from EDBT 2026 / reviewers in the wild / expert
Qiwei Sun
dblp:137/4161
· DBLP profile ↗
3ranked-venue papers
1as first author
2since 2021 · last 2024
0000-0002-6300-9083ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 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 |
Visual content generation and editing · 67% Geometric modeling and processing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › computational geometry › polyhedral geometry
convex hull |
0.8 | 1 | 2024 | Building Coarse to Fine Convex Hulls With Auxiliary Vertices for Palette-Based Image Recoloring · IEEE Trans. Vis. Comput. Graph. 2024 |
Visual content generation and editing
image recoloring |
0.8 | 1 | 2024 | Building Coarse to Fine Convex Hulls With Auxiliary Vertices for Palette-Based Image Recoloring · IEEE Trans. Vis. Comput. Graph. 2024 |
Visual content generation and editing › image recoloring
palette-based recoloring |
0.8 | 1 | 2024 | Building Coarse to Fine Convex Hulls With Auxiliary Vertices for Palette-Based Image Recoloring · IEEE Trans. Vis. Comput. Graph. 2024 |
Methods — techniques the papers use, named apart from their topics
auxiliary vertices · 0.8as-rigid-as-possible deformation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Building Coarse to Fine Convex Hulls With Auxiliary Vertices for Palette-Based Image RecoloringabstractConstructing a convex hull for the pixel colors of an image by viewing them as 3D points can extract a set of palette colors for the image, then image recoloring can be achieved by modifying the palette colors. For better recoloring effect, the convex hull should contain more pixels (inclusive) and be more compact. Otherwise, reconstruction error would occur or the extracted palette color would be less representative, yielding wrong recoloring results or less effective edit. We observe that convex hulls constructed by prior methods can contain all the image pixels, but are far from compact. Efforts have been made to optimize the vertices of convex hull to increase the compactness but are still not perfect. In this paper, we propose a novel coarse to fine convex hull construction scheme with auxiliary vertices. We start by constructing a coarse convex hull whose vertices are directly image pixels which is thus the most compact but cannot contain all pixels. We then make a remedy by adding auxiliary vertices into the coarse convex hull to obtain a fine convex hull. More auxiliary vertices are added, more image pixels will be contained into the fine convex hull. The auxiliary vertices are image pixels too so that the compactness can still be maintained. During editing, the auxiliary vertices are not allowed to be edited for edit convenience, but deformed as-rigid-as-possible with the adjusting of other vertices. Our convex hull is both inclusive and compact. Extensive experiments validate the effectiveness of the proposed method. Qiwei Sun, Yongwei Nie, Qing Zhang 0006, Guiqing Li |
IEEE Trans. Vis. Comput. Graph. | 1 |
| 2023 | Large-Scale Traffic Signal Control Based on Integration of Adaptive Subgraph Reformulation and Multi-agent Deep Reinforcement Learning
Qiwei Sun, Xiaofang Zhong, Yanhua Zhang |
ICIC (1) | 2 |
| 2019 | Enhancing sentence embedding with dynamic interaction
Jinsong Xie, Yongjun Li 0003, Qiwei Sun |
Appl. Intell. | 3 |