Demo Data from EDBT 2026 / reviewers in the wild / expert
Chenming Fan
dblp:389/2545
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0008-0915-7860ORCID · 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 |
Multi-agent systems · 77% Vision and language · 23% | |
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › multi-agent systems engineering › multi-agent system design
multi-agent framework |
0.8 | 1 | 2024 | MAF-ID: Multi-Agent Framework for Interactive Dubbing through Deep Video Understanding · ACM Multimedia 2024 |
Computer vision › Vision and language
video-language understanding |
0.2 | 1 | 2024 | MAF-ID: Multi-Agent Framework for Interactive Dubbing through Deep Video Understanding · ACM Multimedia 2024 |
Methods — techniques the papers use, named apart from their topics
multi-agent framework · 1.5deep video understanding · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | MAF-ID: Multi-Agent Framework for Interactive Dubbing through Deep Video Understanding
Zhanbin Hu, Renzhou Pan, Xianzhou Zeng, Chenming Fan |
ACM Multimedia | 5 |