VLDB 2026 Research / reviewers in the wild / expert
Jens Hellekes
dblp:294/9623
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-0080-3124ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 |
Video understanding and tracking · 87% 3D vision · 13% |
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
multi-object tracking |
0.8 | 1 | 2024 | VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking · ECCV (85) 2024 |
Computer vision › Video understanding and tracking › object tracking
UAV tracking |
0.8 | 1 | 2024 | VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking · ECCV (85) 2024 |
Computer vision › 3D vision › remote sensing
aerial imagery |
0.2 | 1 | 2024 | VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking · ECCV (85) 2024 |
Methods — techniques the papers use, named apart from their topics
multi-object tracking · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking
Jens Hellekes, Manuel Muehlhaus, Reza Bahmanyar, Seyed Majid Azimi, Franz Kurz |
ECCV (85) | 1 |