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Maciej Zamorski
Maciej Zamorski
Hemolens Diagnostics
Verified email at hemolens.eu - Homepage
Title
Cited by
Cited by
Year
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
1162020
Hypernetwork approach to generating point clouds
P Spurek, S Winczowski, J Tabor, M Zamorski, M Zięba, T Trzciński
International Conference on Machine Learning 119, 9099--9108, 2020
352020
Generative adversarial networks: recent developments
M Zamorski, A Zdobylak, M Zięba, J Świątek
Artificial Intelligence and Soft Computing: 18th International Conference …, 2019
172019
Conditional invertible flow for point cloud generation
M Stypułkowski, M Zamorski, M Zięba, J Chorowski
arXiv preprint arXiv:1910.07344, 2019
152019
Representing point clouds with generative conditional invertible flow networks
M Stypułkowski, K Kania, M Zamorski, M Zięba, T Trzciński, J Chorowski
Pattern Recognition Letters 150, 26-32, 2021
52021
Continual learning on 3D point clouds with random compressed rehearsal
M Zamorski, M Stypułkowski, K Karanowski, T Trzciński, M Zięba
Computer Vision and Image Understanding 228, 103621, 2023
42023
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, 11-18, 2018
32018
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
22020
Semi-supervised learning with Bidirectional GANs
M Zamorski, M Zięba
Intelligent Information and Database Systems: 11th Asian Conference, ACIIDS …, 2019
12019
Comparison of Aggregation Functions for 3D Point Clouds Classification
M Zamorski, M Zięba, J Świątek
Intelligent Information and Database Systems: 12th Asian Conference, ACIIDS …, 2020
2020
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