Demo Data from EDBT 2026 / reviewers in the wild / expert
Maris Hillemann
dblp:387/9070
· 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 2021Graphics, 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 |
Segmentation and scene understanding · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Segmentation and scene understanding
instance segmentation |
0.8 | 1 | 2024 | SOS: Segment Object System for Open-World Instance Segmentation with Object Priors · ECCV (27) 2024 |
Computer vision › Segmentation and scene understanding › instance segmentation
open-world instance segmentation |
0.8 | 1 | 2024 | SOS: Segment Object System for Open-World Instance Segmentation with Object Priors · ECCV (27) 2024 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | SOS: Segment Object System for Open-World Instance Segmentation with Object Priors
Christian Wilms, Tim Rolff, Maris Hillemann, Robert Johanson, Simone Frintrop |
ECCV (27) | 3 |