Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael Liang
dblp:132/1177
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
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% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% | |
| Network and information security
1 paper |
Authentication and access control · 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
augmented reality |
0.9 | 1 | 2025 | OpenFLAME: Federated Visual Positioning System to Enable Large-Scale Augmented Reality Applications · ISMAR 2025 |
Distributed systems › distributed database
federated systems |
0.9 | 1 | 2025 | OpenFLAME: Federated Visual Positioning System to Enable Large-Scale Augmented Reality Applications · ISMAR 2025 |
Authentication and access control
access control |
0.3 | 1 | 2025 | OpenFLAME: Federated Visual Positioning System to Enable Large-Scale Augmented Reality Applications · ISMAR 2025 |
Methods — techniques the papers use, named apart from their topics
image-based localization · 2.63d scanning · 2.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | OpenFLAME: Federated Visual Positioning System to Enable Large-Scale Augmented Reality ApplicationsabstractWorld-scale augmented reality (AR) applications need a ubiquitous 6DoF localization backend to anchor content to the real world consistently across devices. Large organizations such as Google and Niantic are 3D scanning outdoor public spaces in order to build their own Visual Positioning Systems (VPS). These centralized VPS solutions fail to meet the needs of many future AR applications-they do not cover private indoor spaces because of privacy concerns, regulations, and the labor bottleneck of updating and maintaining 3D scans. In this paper, we present OpenFLAME, a federated VPS backend that allows independent organizations to 3D scan and maintain a separate VPS service for their own spaces. This enables access control of indoor 3D scans, distributed maintenance of the VPS backend, and encourages larger coverage. Sharding of VPS services introduces several unique challenges-coherency of localization results across spaces, quality control of VPS services, selection of the right VPS service for a location, and many others. We introduce the concept of federated image-based localization and provide reference solutions for managing and merging data across maps without sharing private data. Sagar Bharadwaj, Harrison Williams, Luke Wang, Michael Liang, Srinivasan Seshan, Anthony Rowe 0001 |
ISMAR | 4 |