Demo Data from EDBT 2026 / reviewers in the wild / expert
Theodor Mader
dblp:19/3546
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2
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 · 77% 3D vision · 23% |
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 › video classification
video object classification |
0.1 | 1 | 2009 | Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera · Int. J. Comput. Vis. 2009 |
Computer vision › 3D vision
moving camera |
0.0 | 1 | 2009 | Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera · Int. J. Comput. Vis. 2009 |
Methods — techniques the papers use, named apart from their topics
object detection · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera
Björn Ommer, Theodor Mader, Joachim M. Buhmann |
Int. J. Comput. Vis. | 2 |
| 2007 | Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark
Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick A. Pletscher, Georg Schneider 0004, Markus Uhr |
Pattern Recognit. Lett. | 3 |