Wybrane publikacje |
1 | Referat konferencyjny 2023
Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Maciej Zięba, Jacek Tabor, Przemysław Spurek, HyperShot: few-shot learning by kernel Hypernetworks. W: 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, 3-7 January 2023, Waikoloa, Hawaii : proceedings. Danvers, MA : IEEE, cop. 2023. s. 2468-2477. ISBN: 978-1-6654-9346-8 | Zasoby:DOI | |
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2 | Artykuł 2023
Michał Stypułkowski, Konrad Karanowski, Tomasz Trzciński, Maciej Zięba, Continual learning on 3D point clouds with random compressed rehearsal. Computer Vision and Image Understanding. 2023, vol. 228, art. 103621, s. 1-8. ISSN: 1077-3142; 1090-235X | Zasoby:DOIURLSFX | |
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3 | Referat konferencyjny 2022
FlowHMM: fow-based continuous hidden Markov models. W: Advances in Neural Information Processing Systems : 36th Conference on Neural Information Processing Systems, NeurIPS 2022 : Virtual-only Conference / eds. S. Koyejo [i in.]. [San Diego, CA. : Neural Information Processing Systems Foundation], 2022. s. 1-17. ISBN: 978-1-7138-7108-8 | Zasoby:URLSFX | |
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4 | Referat konferencyjny 2022
Eigenvector grouping for point cloud vessel labeling. W: Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, Amsterdam, Netherlands, 18 November 2022 / eds. Erik Bekkers, Jelmer M. Wolterink, Angelica Aviles-Rivero. [Cambridge, MA : JMLR], cop. 2022. s. 72-84. | Zasoby:URLSFX | |
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5 | Referat konferencyjny 2022
Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Maciej Zięba, Patryk E Wielopolski, Rafał Kurczab, Marek Śmieja, PluGeN: multi-label conditional generation from pre-trained models. W: Proceedings of the 36th AAAI Conference on Artificial Intelligence : February 22 - March 1, 2022 : virtual conferece / eds. Gabriel Pedroza [i in.]. Palo Alto, USA : AAAI Press, cop. 2022. s. 8647-8656. ISBN: 978-1-57735-876-3 | Zasoby:DOIURLSFX | |
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6 | Artykuł 2022
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7 | Referat konferencyjny 2021
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzciński, Przemysław Spurek, Maciej Zięba, Non-Gaussian Gaussian processes for few-shot regression. W: Advances in Neural Information Processing Systems : 35th Conference on Neural Information Processing Systems, NeurIPS 2021 : Virtual-only Conference, December 06-14, 2021 / eds. M. Ranzato [i in.]. [San Diego, CA. : Neural Information Processing Systems Foundation], 2021. s. 1-14. ISBN: 978-1-7138-4539-3 | Zasoby:URLSFX | |
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8 | Artykuł 2021
Michał Stypułkowski, Kacper Kania, Maciej Zięba, Tomasz Trzciński, Jan Chorowski, Representing point clouds with generative conditional invertible flow networks. Pattern Recognition Letters. 2021, vol. 150, s. 26-32. ISSN: 0167-8655; 1872-7344 | Zasoby:DOISFX | |
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9 | Referat konferencyjny 2020
Przemysław Spurek, Sebastian Winczowski, Jacek Tabor, Maciej 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. | Zasoby:URLSFX | |
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10 | Referat konferencyjny 2020
UCSG-NET - Unsupervised Discovering of Constructive Solid Geometry Tree. W: Advances in Neural Information Processing Systems : 34th Conference on Neural Information Processing Systems, NeurIPS 2020 : Vancouver Convention Center, Vancouver, Canada, December 06-12, 2020 / eds. H. Larochelle [i in.]. [B.m. : Neural Information Processing Systems Foundation], 2020. s. 1-11. | Zasoby:URLSFX | |
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