A deep learning framework for causal shape transformation
- DOI
- 10.1016/j.neunet.2017.12.003
- Published
- 2018-02
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2017.12.003,
title = {A deep learning framework for causal shape transformation},
author = {Kin Gwn Lore and Daniel Stoecklein and Michael Davies and Baskar Ganapathysubramanian and Soumik Sarkar},
year = {2018},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2017.12.003},
url = {https://doi.org/10.1016/j.neunet.2017.12.003}
}RIS
TY - JOUR TI - A deep learning framework for causal shape transformation AU - Kin Gwn Lore AU - Daniel Stoecklein AU - Michael Davies AU - Baskar Ganapathysubramanian AU - Soumik Sarkar PY - 2018 JO - Neural Networks DO - 10.1016/j.neunet.2017.12.003 UR - https://doi.org/10.1016/j.neunet.2017.12.003 ER -
APA
Lore, K. G., Stoecklein, D., Davies, M., Ganapathysubramanian, B., & Sarkar, S. (2018). A deep learning framework for causal shape transformation. Neural Networks. https://doi.org/10.1016/j.neunet.2017.12.003
Source records
- crossref · retrieved 2026-11-08T17:08:29.320Z