Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language.

Xia Y, Shi L, Di Y, Henriques JF, Cremers D

DOI: 10.1109/tpami.2026.3723656
Published: 2026 Aug 13
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2026.3723656,
  title = {Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language.},
  author = {Xia Y and Shi L and Di Y and Henriques JF and Cremers D},
  year = {2026},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2026.3723656},
  url = {https://doi.org/10.1109/tpami.2026.3723656}
}

RIS

TY  - JOUR
TI  - Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language.
AU  - Xia Y
AU  - Shi L
AU  - Di Y
AU  - Henriques JF
AU  - Cremers D
PY  - 2026
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2026.3723656
UR  - https://doi.org/10.1109/tpami.2026.3723656
ER  -

APA

Y, X., L, S., Y, D., JF, H., & D, C. (2026). Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3723656

Source records

pubmed · retrieved 2026-09-25T13:22:04.667Z