Michael Pabst

dblp:01/826 · DBLP profile ↗
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3ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0002-7985-4652ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 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.

Computer graphics and multimedia
2 papers
Virtual and augmented reality · 100%
Human-computer interaction and pervasive computing
2 papers
Collaborative and social computing · 85% Ubiquitous computing and smart environments · 15%
Computer networks
1 paper
Internet of things and sensor networks · 100%

Topics — the 9 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › augmented reality
augmented reality interface
1.012026
Semantic Scene Graphs for Creating a Localization-Ready Internet of Things · IEEE Trans. Vis. Comput. Graph. 2026
Virtual and augmented reality
mixed reality
0.912025
MRUnion: Asymmetric Task-Aware 3D Mutual Scene Generation of Dissimilar Spaces for Mixed Reality Telepresence · IEEE Trans. Vis. Comput. Graph. 2025
Virtual and augmented reality
telepresence
0.912025
MRUnion: Asymmetric Task-Aware 3D Mutual Scene Generation of Dissimilar Spaces for Mixed Reality Telepresence · IEEE Trans. Vis. Comput. Graph. 2025
Collaborative and social computing › remote collaboration
asymmetric collaboration
0.912025
MRUnion: Asymmetric Task-Aware 3D Mutual Scene Generation of Dissimilar Spaces for Mixed Reality Telepresence · IEEE Trans. Vis. Comput. Graph. 2025
Collaborative and social computing
remote collaboration
0.912025
MRUnion: Asymmetric Task-Aware 3D Mutual Scene Generation of Dissimilar Spaces for Mixed Reality Telepresence · IEEE Trans. Vis. Comput. Graph. 2025
Virtual and augmented reality
virtual reality
0.312025
MRUnion: Asymmetric Task-Aware 3D Mutual Scene Generation of Dissimilar Spaces for Mixed Reality Telepresence · IEEE Trans. Vis. Comput. Graph. 2025
Electronic design automation
hardware verification and test
0.011994
RESIST: a recursive test pattern generation algorithm for path delay faults considering various test classes · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994
Electronic design automation › hardware verification and test › delay fault testing
path delay fault
0.011994
RESIST: a recursive test pattern generation algorithm for path delay faults considering various test classes · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994
Electronic design automation › hardware verification and test
test generation
0.011994
RESIST: a recursive test pattern generation algorithm for path delay faults considering various test classes · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 1994

Methods — techniques the papers use, named apart from their topics

semantic scene graph · 3.0large language model · 3.0room layout generation · 1.7intersection method · 1.7recursive search · 0.0path sensitization · 0.0
YearPublicationVenuePosition
2026 Semantic Scene Graphs for Creating a Localization-Ready Internet of Things
abstract
Controlling devices connected to the Internet of Things often requires juggling multiple smartphone apps or physical remote controls, creating a fragmented user experience. Augmented Reality (AR) can afford superior control by automatically presenting virtual user interfaces that are spatially aligned with networked devices. However, before such user interfaces can be delivered, physical devices must be localized in the environment. This paper introduces LORIOT (LOcalization-Ready Internet Of Things), a novel end-to-end system that uses a semantic scene graph and a large language model to map the identities of the networked devices to physical objects, given a pre-filtered set of IoT-device candidate nodes. A declarative UI specification enables automatic generation of device control panels for AR and non-AR clients. We evaluate the mapping component on a controlled synthetic-room benchmark of 100 randomly generated rooms. Using device network metadata alone, we achieve a baseline macro-averaged F1 score of 0.80 for digital $\rightarrow$→ physical associations. When device metadata is enriched with physical attributes (mounting location, materials, color, and size), performance improves to 0.88. Moreover, we evaluate the benefit of spatially registered AR control in a within-subject user study ($N{=}20$N=20), comparing in-situ AR panels against conventional non-AR control with smartphone apps or physical remote controls. AR yields significantly faster task completion, lower mental demand, and higher usability.
Jan Kolberg, Michael Pabst, Verena Biener, Shohei Mori, Dieter Schmalstieg
IEEE Trans. Vis. Comput. Graph.2
2025 MRUnion: Asymmetric Task-Aware 3D Mutual Scene Generation of Dissimilar Spaces for Mixed Reality Telepresence
abstract
In mixed reality (MR) telepresence applications, the differences between participants' physical environments can interfere with effective collaboration. For asymmetric tasks, users might need to access different resources (information, objects, tools) distributed throughout their room. Existing intersection methods do not support such interactions, because a large portion of the telepresence participants' rooms become inaccessible, along with the relevant task resources. We propose MRUnion, a Mixed Reality Telepresence pipeline for asymmetric task-aware 3D mutual scene generation. The key concept of our approach is to enable a user in an asymmetric telecollaboration scenario to access the entire room, while still being able to communicate with remote users in a shared space. For this purpose, we introduce a novel mutual room layout called Union. We evaluated 882 space combinations quantitatively involving two, three, and four combined remote spaces and compared it to a conventional Intersect room layout. The results show that our method outperforms existing intersection methods and enables a significant increase in space and accessibility to resources within the shared space. In an exploratory user study (N=24), we investigated the applicability of the synthetic mutual scene in both MR and VR setups, where users collaborated on an asymmetric remote assembly task. The study results showed that our method achieved comparable results to the intersect method but requires further investigation in terms of social presence, safety and support of collaboration. From this study, we derived design implications for synthetic mutual spaces.
Michael Pabst, Linda Rudolph, Nikolas Brasch, Verena Biener, Chloe Eghtebas, Ulrich Eck, Dieter Schmalstieg, Gudrun Klinker
IEEE Trans. Vis. Comput. Graph.1
1994 RESIST: a recursive test pattern generation algorithm for path delay faults considering various test classes
abstract
This paper presents RESIST, a recursive test pattern generation (TPG) algorithm for path delay fault testing of scanbased circuits. Five test classes are introduced and their properties are discussed. We present an algorithm for deriving a logic system for TPG that results in an earlier recognition of conflicting value assignments. RESIST uses the logic system derived for each test class for an optimal search strategy. In contrast to other approaches, it exploits the fact that many paths in a circuit have common subpaths. RESIST sensitizes those subpaths only once, reducing the number of value assignments during path sensitization significantly. In addition, our procedure identifies large sets of untestable path delay faults without enumerating them. RESIST is capable of performing TPG for all path delay faults in all ISCAS-85 and ISCAS-89 circuits. For the first time, results for all path delay faults in circuit c6288 are presented. A comparison with other TPG systems revealed that RESIST is significantly faster than all previously published methods.>
Karl Fuchs, Michael Pabst, Torsten Rössel
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.2