Demo Data from EDBT 2026 / reviewers in the wild / expert
Qinrou Wen
dblp:309/1209
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
Segmentation and scene understanding · 100% |
Topics — the 3 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 |
0.7 | 1 | 2023 | PatchDCT: Patch Refinement for High Quality Instance Segmentation · ICLR 2023 |
Computer vision › Segmentation and scene understanding › semantic segmentation › segmentation refinement
mask refinement |
0.7 | 1 | 2023 | PatchDCT: Patch Refinement for High Quality Instance Segmentation · ICLR 2023 |
Computer vision › Segmentation and scene understanding › image segmentation
patch-based segmentation |
0.2 | 1 | 2023 | PatchDCT: Patch Refinement for High Quality Instance Segmentation · ICLR 2023 |
Methods — techniques the papers use, named apart from their topics
transformer · 0.7discrete cosine transform · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | PatchDCT: Patch Refinement for High Quality Instance Segmentation
Qinrou Wen, Jirui Yang, Xue Yang 0005, Kewei Liang |
ICLR | 1 |