Demo Data from SIGIR 2026 / reviewers in the wild / expert
Markus Kamm
dblp:185/7862
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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 |
3D vision · 100% | |
| Computer graphics and multimedia
1 paper |
Computational photography and imaging · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
depth estimation |
0.2 | 1 | 2016 | Scene Depth Profiling Using Helmholtz Stereopsis · ECCV (1) 2016 |
Computer vision › 3D vision › stereo vision
helmholtz stereopsis |
0.2 | 1 | 2016 | Scene Depth Profiling Using Helmholtz Stereopsis · ECCV (1) 2016 |
Methods — techniques the papers use, named apart from their topics
helmholtz stereopsis · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Scene Depth Profiling Using Helmholtz Stereopsis
Hironori Mori, Roderick Köhle, Markus Kamm |
ECCV (1) | 3 |