Demo Data from EDBT 2026 / reviewers in the wild / expert
Robert Hofmann
dblp:124/0689
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
GPUs and heterogeneous computing · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing
feature detection |
0.1 | 1 | 2012 | A GPGPU accelerated descriptor for mobile devices · ISMAR 2012 |
GPUs and heterogeneous computing › GPU computing
GPGPU acceleration |
0.1 | 1 | 2012 | A GPGPU accelerated descriptor for mobile devices · ISMAR 2012 |
GPUs and heterogeneous computing › embedded GPU
mobile GPU |
0.1 | 1 | 2012 | A GPGPU accelerated descriptor for mobile devices · ISMAR 2012 |
Immersive interaction
augmented reality |
0.0 | 1 | 2012 | A GPGPU accelerated descriptor for mobile devices · ISMAR 2012 |
Methods — techniques the papers use, named apart from their topics
SURF descriptor · 0.4GPGPU · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | A GPGPU accelerated descriptor for mobile devicesabstractWe present a modified upright SURF feature descriptor for mobile phone GPUs. Our implementation called uSURF-ES is multiple times faster than a comparable CPU variant on the same device. Our results proof the feasibility of modern mobile graphics accelerators for GPGPU tasks especially for the detection phase in natural feature tracking used in Augmented Reality applications. Robert Hofmann, Hartmut Seichter, Gerhard Reitmayr |
ISMAR | 1 |