EDBT 2026 Demo / reviewers in the wild / expert
Dominik R. Rohrmus
dblp:18/5595
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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 |
Image recognition and object detection · 50% 3D vision · 50% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
invariant feature extraction |
0.0 | 1 | 2000 | Invariant Web Defect Detection and Classification System · CVPR 2000 |
Methods — techniques the papers use, named apart from their topics
translation-invariant features · 0.0rotation-invariant features · 0.0neural network · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Invariant and adaptive geometrical texture features for defect detection and classification
Dominik R. Rohrmus |
Pattern Recognit. | 1 |
| 2000 | Invariant Web Defect Detection and Classification SystemabstractWe present a live web defect detection and classification system that runs on a Laptop PC with an attached camera. Features, invariant with respect to rotation and translation based on local integration are extracted from the grabbed images. They are then presented to a neural network for classification. Dominik R. Rohrmus |
CVPR | 1 |