Demo Data from VLDB 2026 / reviewers in the wild / expert
Wenjin Fu
dblp:314/6663
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.
| Artificial intelligence
1 paper |
Segmentation and scene understanding · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Segmentation and scene understanding
instance segmentation |
0.6 | 1 | 2022 | Learning with Free Object Segments for Long-Tailed Instance Segmentation · ECCV (10) 2022 |
Computer vision › Segmentation and scene understanding › instance segmentation
long-tailed instance segmentation |
0.6 | 1 | 2022 | Learning with Free Object Segments for Long-Tailed Instance Segmentation · ECCV (10) 2022 |
Methods — techniques the papers use, named apart from their topics
long-tailed learning · 0.6free object segments · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Learning with Free Object Segments for Long-Tailed Instance Segmentation
Cheng Zhang 0014, Tai-Yu Pan, Jike Zhong, Wenjin Fu, Wei-Lun Chao |
ECCV (10) | 5 |