Demo Data from EDBT 2026 / reviewers in the wild / expert
Peter Stöhr
dblp:79/966
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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 |
3D vision · 50% Image recognition and object detection · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
3d object recognition |
0.0 | 1 | 1994 | Using Two-Dimensional Subspaces Gained by Intersections to Recognize Three-Dimensional Objects · ICRA 1994 |
Computer vision › Image recognition and object detection › object recognition
model-based object recognition |
0.0 | 1 | 1994 | Using Two-Dimensional Subspaces Gained by Intersections to Recognize Three-Dimensional Objects · ICRA 1994 |
Methods — techniques the papers use, named apart from their topics
model generation algorithms · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Using Two-Dimensional Subspaces Gained by Intersections to Recognize Three-Dimensional ObjectsabstractThis paper presents a model-based object recognition system for three-dimensional objects with an automatic generation of the models. Due to the fact that these models are generated by algorithms and do not look like CAD models, the well-known restrictions of standard model-based object recognition systems do not apply to this method.> Peter Stöhr |
ICRA | 1 |