Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kaixun Jin
dblp:340/4315
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 · 50% Segmentation and scene understanding · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Video understanding and tracking
multi-object tracking |
0.8 | 1 | 2024 | DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes · Int. J. Comput. Vis. 2024 |
Computer vision › Segmentation and scene understanding › scene understanding
multi-view scene understanding |
0.8 | 1 | 2024 | DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes · Int. J. Comput. Vis. 2024 |
Methods — techniques the papers use, named apart from their topics
baseline method · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang |
Int. J. Comput. Vis. | 4 |