Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations.
- DOI
- 10.1109/tpami.2023.3307592
- Published
- 2023 Dec
- 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.2023.3307592,
title = {Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations.},
author = {He P and Emami P and Ranka S and Rangarajan A},
year = {2023},
journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/tpami.2023.3307592},
url = {https://doi.org/10.1109/tpami.2023.3307592}
}RIS
TY - JOUR TI - Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations. AU - He P AU - Emami P AU - Ranka S AU - Rangarajan A PY - 2023 JO - IEEE transactions on pattern analysis and machine intelligence DO - 10.1109/tpami.2023.3307592 UR - https://doi.org/10.1109/tpami.2023.3307592 ER -
APA
P, H., P, E., S, R., & A, R. (2023). Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2023.3307592
Source records
- pubmed · retrieved 2026-09-24T23:50:30.363Z