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| 261200 | 105019650037 |
Jakub M. Chojnacki*, Szymon Kopeć*, Konrad Duraj*, Maciej Zamorski*
HFR: Hemodynamic feature regression for physically constrained pressure drop estimation. W: Reconstruction and imaging motion estimation, and graphs in biomedical image analysis : First International Workshop, RIME 2025 and 7th International Workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025 : proceedings / eds. Lina Felsner [i in.]. Cham : Springer, cop. 2026. s. 219-228.
Priorytetowe Obszary Badawcze: 1, 5
| 2026 | |
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2
| 261271 | |
Konrad Duraj*, Jakub M Chojnacki*, Szymon Kopeć*, Maciej Zamorski*
Graph unet transformer for predicting pressure drops in cardiovascular networks. W: ML in PL Conference 2025, Warsaw, 15-18 October 2025. [B.m. : b.w.], 2025. s. 1-1.
Priorytetowe Obszary Badawcze: 1, 5
| 2025 | |
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3
| 238718 | |
Maciej Zamorski
Representation learning on point cloud data with deep neural networks. XVI, 141 s.
| 2023 | |
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4
| 238338 | 85145966703 |
Maciej Zamorski, Michał Stypułkowski*, Konrad Karanowski, Tomasz Trzciński*, Maciej M Zięba
Continual learning on 3D point clouds with random compressed rehearsal. Computer Vision and Image Understanding 2023 vol. 228, art. 103621, s. 1-8.
| 2023 | |
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5
| 232035 | 85111071927 |
Michał Stypułkowski*, Kacper Kania*, Maciej Zamorski, Maciej M Zięba, Tomasz Trzciński*, Jan Chorowski*
Representing point clouds with generative conditional invertible flow networks. Pattern Recognition Letters 2021 vol. 150, s. 26-32.
[Publikacja zarejestrowana jako preonline dn. 22.07.2021, rok zaliczenia 2021.
Wersja ostateczna zarejestrowana 19.08.2021, rok zaliczenia 2021.]
| 2021 | |
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6
| 229283 | 85103627509 |
Przemysław Spurek*, Sebastian Winczowski*, Jacek Tabor*, Maciej Zamorski, Maciej M Zięba, Tomasz Trzciński*
Hypernetwork approach to generating point clouds. W: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event / eds. Hal Daumé III, Aarti Singh. [Cambridge, MA : JMLR, 2020]. s. 9099-9108.
| 2020 | |
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7
| 228732 | 85096613318 |
Maciej Zamorski, Maciej M Zięba, Jerzy Świątek
Generative modeling in application to point cloud completion. W: Artificial intelligence and soft computing : 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020 : proceedings. Pt. 1 / eds. Leszek Rutkowski [i in.]. Cham : Springer Nature Switzerland, cop. 2020. s. 292-302.
| 2020 | |
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8
| 225726 | 85082308934 |
Maciej Zamorski, Maciej M Zięba, Jerzy Świątek
Comparison of aggregation functions for 3D point clouds classification. W: Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23-26, 2020 : proceedings. Pt. 1 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2020. s. 504-513.
| 2020 | |
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9
| 225164 | 85078841283 |
Maciej Zamorski, Maciej M Zięba, Piotr J Klukowski, Rafał C Nowak*, Karol Kurach*, Wojciech Stokowiec*, Tomasz Trzciński*
Adversarial autoencoders for compact representations of 3D point clouds. Computer Vision and Image Understanding 2020 vol. 193, art. nr 102921, s. 1-8.
| 2020 | |
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10
| 225514 | |
Michał Stypułkowski*, Maciej Zamorski, Maciej M Zięba, Jan Chorowski*
Conditional invertible flow for point cloud generation. W: Advances in Neural Information Processing Systems : 33nd Conference on Neural Information Processing Systems, NeurIPS 2019 : Vancouver Convention Center, Vancouver, Canada, December 08-14, 2019. [B.m. : b.w], 2019. s. 1-5.
| 2019 | |
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