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Journal Articles
- 2021
[j1]Ivan Sipiran, Patrick Lazo, Cristian Lopez, Milagritos Jimenez, Nihar Bagewadi, Benjamin Bustos, Hieu Dao, Shankar Gangisetty, Martin Hanik
, Ngoc-Phuong Ho-Thi, Mike Holenderski, Dmitri Jarnikov, Arniel Labrada, Stefan Lengauer, Roxane Licandro, Dinh-Huan Nguyen, Thang-Long Nguyen-Ho, Luis A. Pérez Rey, Bang-Dang Pham, Reinhold Preiner, Tobias Schreck, Quoc-Huy Trinh, Loek Tonnaer, Christoph von Tycowicz, The-Anh Vu-Le:
SHREC 2021: Retrieval of cultural heritage objects. Comput. Graph. 100: 1-20 (2021)
Conference and Workshop Papers
- 2023
- [c3]Loek Tonnaer, Mike Holenderski, Vlado Menkovski:
Out-of-Distribution Generalisation with Symmetry-Based Disentangled Representations. IDA 2023: 433-445 - 2022
- [c2]Loek Tonnaer, Luis Armando Pérez Rey, Vlado Menkovski, Mike Holenderski, Jim Portegies:
Quantifying and Learning Linear Symmetry-Based Disentanglement. ICML 2022: 21584-21608 - 2019
- [c1]Loek Tonnaer, Jiapeng Li, Vladimir Osin, Mike Holenderski, Vlado Menkovski:
Anomaly Detection for Visual Quality Control of 3D-Printed Products. IJCNN 2019: 1-8
Informal and Other Publications
- 2020
- [i3]Loek Tonnaer, Luis A. Pérez Rey, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies:
Quantifying and Learning Disentangled Representations with Limited Supervision. CoRR abs/2011.06070 (2020) - [i2]Luis A. Pérez Rey, Loek Tonnaer, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies:
A Metric for Linear Symmetry-Based Disentanglement. CoRR abs/2011.13306 (2020) - 2018
- [i1]Nazly Rocio Santos Buitrago, Loek Tonnaer, Vlado Menkovski, Dimitrios Mavroeidis:
Anomaly Detection for imbalanced datasets with Deep Generative Models. CoRR abs/1811.00986 (2018)
Coauthor Index
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