| Adversarial Autoencoders for Compact Representations of 3D Point Clouds M Zamorski, M Zięba, P Klukowski, R Nowak, K Kurach, W Stokowiec, ... Computer Vision and Image Understanding 193, 2020 | 36 | 2020 |
| Generative adversarial networks: recent developments M Zamorski, A Zdobylak, M Zięba, J Świątek International Conference on Artificial Intelligence and Soft Computing, 248-258, 2019 | 10 | 2019 |
| Conditional invertible flow for point cloud generation M Stypułkowski, M Zamorski, M Zięba, J Chorowski arXiv preprint arXiv:1910.07344, 2019 | 7 | 2019 |
| Hypernetwork approach to generating point clouds P Spurek, S Winczowski, J Tabor, M Zamorski, M Zięba, T Trzciński arXiv preprint arXiv:2003.00802, 2020 | 6 | 2020 |
| Semi-supervised learning with Bidirectional GANs M Zamorski, M Zięba Asian Conference on Intelligent Information and Database Systems, 649-660, 2019 | 1 | 2019 |
| Application of Dirichlet process mixture model to the identification of spin systems in protein NMR spectra P Klukowski, M Augoff, M Zamorski, A Gonczarek, MJ Walczak Journal of biomolecular NMR 71 (1), 11-18, 2018 | 1 | 2018 |
| Generative Modeling in Application to Point Cloud Completion M Zamorski, M Zięba, J Świątek International Conference on Artificial Intelligence and Soft Computing, 292-302, 2020 | | 2020 |
| Representing Point Clouds with Generative Conditional Invertible Flow Networks M Stypułkowski, K Kania, M Zamorski, M Zięba, T Trzciński, J Chorowski arXiv preprint arXiv:2010.11087, 2020 | | 2020 |
| Comparison of Aggregation Functions for 3D Point Clouds Classification M Zamorski, M Zięba, J Świątek Asian Conference on Intelligent Information and Database Systems, 504-513, 2020 | | 2020 |
Maciej ZiebaWroclaw University of Technology, TooplooxVerified email at pwr.wroc.pl
