SemanticXR: Low Power, Real-time Queryable Semantic Mapping with a Device-Cloud Architecture

Rahul Singh, Devdeep Ray, Connor Smith, Sarita Adve

Open source

DOI: 10.1109/tvcg.2026.3747455
Published: 2026
Container: IEEE Transactions on Visualization and Computer Graphics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tvcg.2026.3747455,
  title = {SemanticXR: Low Power, Real-time Queryable Semantic Mapping with a Device-Cloud Architecture},
  author = {Rahul Singh and Devdeep Ray and Connor Smith and Sarita Adve},
  year = {2026},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  doi = {10.1109/tvcg.2026.3747455},
  url = {https://doi.org/10.1109/tvcg.2026.3747455}
}

RIS

TY  - JOUR
TI  - SemanticXR: Low Power, Real-time Queryable Semantic Mapping with a Device-Cloud Architecture
AU  - Rahul Singh
AU  - Devdeep Ray
AU  - Connor Smith
AU  - Sarita Adve
PY  - 2026
JO  - IEEE Transactions on Visualization and Computer Graphics
DO  - 10.1109/tvcg.2026.3747455
UR  - https://doi.org/10.1109/tvcg.2026.3747455
ER  -

APA

Singh, R., Ray, D., Smith, C., & Adve, S. (2026). SemanticXR: Low Power, Real-time Queryable Semantic Mapping with a Device-Cloud Architecture. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/tvcg.2026.3747455

Source records

crossref · retrieved 2026-11-08T01:18:05.745Z