Demo Data from EDBT 2026 / reviewers in the wild / expert
Xun Mei
dblp:287/7143
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-4461-886XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, 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 |
Video understanding and tracking · 67% Image recognition and object detection · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Video understanding and tracking
action recognition |
0.8 | 1 | 2024 | Instance-aware Fine-grained Micro-action Recognition · ACM Multimedia 2024 |
Computer vision › Image recognition and object detection › image classification
fine-grained image classification |
0.8 | 1 | 2024 | Instance-aware Fine-grained Micro-action Recognition · ACM Multimedia 2024 |
Computer vision › Video understanding and tracking › action recognition › fine-grained action recognition
micro-action recognition |
0.8 | 1 | 2024 | Instance-aware Fine-grained Micro-action Recognition · ACM Multimedia 2024 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Instance-aware Fine-grained Micro-action Recognition
Chen Wang 0136, Xun Mei, Feng Zhang 0052 |
ACM Multimedia | 2 |