Demo Data from SIGIR 2026 / reviewers in the wild / expert
Aman S. Mathur
dblp:167/3718
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorArtificial intelligence and machine learning · 1Human-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 graphics and multimedia
1 paper |
Virtual and augmented reality · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Learning and educational technologies · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › virtual environment
immersive virtual environments |
0.2 | 1 | 2015 | Low cost virtual reality for medical training · VR 2015 |
Virtual and augmented reality
medical training |
0.2 | 1 | 2015 | Low cost virtual reality for medical training · VR 2015 |
Learning and educational technologies
simulation-based training |
0.1 | 1 | 2015 | Low cost virtual reality for medical training · VR 2015 |
Methods — techniques the papers use, named apart from their topics
razer hydra · 0.4oculus rift · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | NRSfM-Flow: Recovering Non-Rigid Scene Flow from Monocular Image Sequences
Vladislav Golyanik, Aman S. Mathur, Didier Stricker |
BMVC | 2 |
| 2015 | Low cost virtual reality for medical trainingabstractThis demo depicts a low cost virtual reality set-up that may be used for medical training and instruction purposes. Using devices such as the Oculus Rift and Razer Hydra, an immersive experience, including hand interactivity can be given. Software running on a PC integrates these devices and presents an interactive and immersive training environment, where trainees are asked to perform a mixed bag of both, simple and complex tasks. These tasks range from identification of certain organs to performing of an actual incision. Trainees learn by doing, albeit in the virtual world. Components of the system are relatively affordable and simple to use, thereby making such a set-up incredibly easy to deploy. Aman S. Mathur |
VR | 1 |