Demo Data from SIGIR 2026 / reviewers in the wild / expert
Adil Orhan
dblp:188/5755
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1
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 · 100% |
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 › action recognition › human-object interaction recognition
manipulation action recognition |
0.3 | 1 | 2017 | Semantic Decomposition and Recognition of Long and Complex Manipulation Action Sequences · Int. J. Comput. Vis. 2017 |
Computer vision › Video understanding and tracking
action segmentation |
0.1 | 1 | 2017 | Semantic Decomposition and Recognition of Long and Complex Manipulation Action Sequences · Int. J. Comput. Vis. 2017 |
Methods — techniques the papers use, named apart from their topics
semantic decomposition · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Semantic Decomposition and Recognition of Long and Complex Manipulation Action Sequences
Eren Erdal Aksoy, Adil Orhan, Florentin Wörgötter |
Int. J. Comput. Vis. | 2 |