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Variational auto-encoders without graph coarsening for fine mesh learning

Nicolas Vercheval (UGent) , Hendrik De Bie (UGent) and Aleksandra Pizurica (UGent)
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Please use this url to cite or link to this publication:

MLA
Vercheval, Nicolas, et al. “Variational Auto-Encoders without Graph Coarsening for Fine Mesh Learning.” IEEE International Conference on Image Processing (ICIP 2020), Proceedings, IEEE, 2020.
APA
Vercheval, N., De Bie, H., & Pizurica, A. (2020). Variational auto-encoders without graph coarsening for fine mesh learning. In IEEE International Conference on Image Processing (ICIP 2020), Proceedings. Abu Dhabi, United Arab Emirates: IEEE.
Chicago author-date
Vercheval, Nicolas, Hendrik De Bie, and Aleksandra Pizurica. 2020. “Variational Auto-Encoders without Graph Coarsening for Fine Mesh Learning.” In IEEE International Conference on Image Processing (ICIP 2020), Proceedings. IEEE.
Chicago author-date (all authors)
Vercheval, Nicolas, Hendrik De Bie, and Aleksandra Pizurica. 2020. “Variational Auto-Encoders without Graph Coarsening for Fine Mesh Learning.” In IEEE International Conference on Image Processing (ICIP 2020), Proceedings. IEEE.
Vancouver
1.
Vercheval N, De Bie H, Pizurica A. Variational auto-encoders without graph coarsening for fine mesh learning. In: IEEE International Conference on Image Processing (ICIP 2020), Proceedings. IEEE; 2020.
IEEE
[1]
N. Vercheval, H. De Bie, and A. Pizurica, “Variational auto-encoders without graph coarsening for fine mesh learning,” in IEEE International Conference on Image Processing (ICIP 2020), Proceedings, Abu Dhabi, United Arab Emirates, 2020.
@inproceedings{8664135,
  author       = {Vercheval, Nicolas and De Bie, Hendrik and Pizurica, Aleksandra},
  booktitle    = {IEEE International Conference on Image Processing (ICIP 2020), Proceedings},
  language     = {eng},
  location     = {Abu Dhabi, United Arab Emirates},
  pages        = {5},
  publisher    = {IEEE},
  title        = {Variational auto-encoders without graph coarsening for fine mesh learning},
  year         = {2020},
}