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Department of Artificial Intelligence
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Publications

Publications assigned to this group and public publications confirmed in the research records of its current members.

Publications: 356

  1. Drawing attributions from evolved counterfactuals

    Jan F. Jakubik, Halina Kwaśnicka

    GECCO '24 Companion · 2024

  2. Probabilistically plausible counterfactual explanations with normalizing flows

    Patryk E. Wielopolski, Oleksii Furman, Maciej M Zięba, Jerzy Stefanowski

    13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) · 2024

  3. RegFlow: Probabilistic Flow-Based Regression for future prediction

    Maciej M. Zięba, Marcin Przewięźlikowski, Marek Śmieja, Jacek Tabor, Tomasz Trzciński, Przemysław Spurek

    ACIIDS 2024 · 2024

  4. Diffused heads: Diffusion models beat GANs on talking-face generation

    Maciej M Zięba, Michał Stypułkowski, Konstantinos Vougioukas, Sen He, Stavros Petridis, Maja Pantic

    2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, 3-8 January 2024, Waikoloa, Hawaii · 2024

  5. Speech driven video editing via an audio-conditioned diffusion model

    Maciej M Zięba, Dan Bigioi, Shubhajit Basak, Michał Stypułkowski, Hugh Jordan, Rachel McDonnell, Peter Corcoran

    Image and Vision Computing · 2024

  6. A comparative analysis of Siamese Networks and Spectral Angle Mapper for mineral detection using hyperspectral imagery

    Katarzyna Jabłońska, Maciej M Zięba

    IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 7-12 July, 2024 Athens, Greece · 2024

  7. NodeFlow: towards end-to-end flexible probabilistic regression on tabular data

    Patryk E. Wielopolski, Oleksii Furman, Maciej M Zięba

    Entropy · 2024

  8. MineCam: application of combined remote sensing and machine learning for segmentation and change detection of mining areas enabling multi-purpose monitoring

    Katarzyna Jabłońska, Wojciech Kaczan, Maciej M Zięba, Marcin Maksymowicz, Dariusz Tanajewski, Marek Wilgucki

    Remote Sensing · 2024

  9. Analysis of the new architectural dataset NeoFaçade and its potential in machine learning

    Bianka S. Kowalska, Hubert Baran, Daniil Hardzetski, Halina Kwaśnicka, Aleksandra S Marcinów, Małgorzata Biegańska

    Architectus · 2024

  10. Self-supervised adversarial masking for 3D point cloud representation learning

    Michał Szachniewicz, Wojciech M Kozłowski, Maciej M Zięba, Michał Stypułkowski

    ACIIDS 2024 · 2024

  11. NeRFlame: Flame-Based conditioning of NeRF for 3D face rendering

    Maciej M Zięba, Wojciech Zając, Joanna Waczyńska, Piotr Borycki, Jacek Tabor, Przemysław Spurek

    ICCS 2024 · 2024

  12. Driving confidence: An uncertainty-aware framework for optimal sensor deployment in autonomous vehicles

    Dawid Migacz, Maciej M Zięba, Kamil Adamczewski, Bartosz Zieliński

    Progress in polish artificial intelligence research 5 · 2024

  13. Building a dataset of Wrocław’s historic tenements

    Aleksandra S. Marcinów, Małgorzata Biegańska, Bianka S Kowalska, Hubert Baran, Daniil Hardzetski, Halina Kwaśnicka

    Architectus · 2024

  14. Modeling 3D surfaces with a locally conditioned Atlas

    Maciej M Zięba, Przemysław Spurek, Sebastian Winczowski, Tomasz Trzciński, Kacper Kania, Marcin Mazur

    ICCS 2024 · 2024

  15. Dimma: Semi-supervised low-light image enhancement with adaptive dimming

    Wojciech M. Kozłowski, Michał Szachniewicz, Maciej M Zięba, Michał Stypułkowski

    Entropy · 2024

  16. Incremental recursive ranking grouping for large scale global optimization

    Marcin M. Komarnicki, Michał W Przewoźniczek, Halina Kwaśnicka, Krzysztof Walkowiak

    IEEE Transactions on Evolutionary Computation · 2023

  17. Human-centered neural reasoning for subjective content processing: hate speech, emotions, and humor

    Przemysław Kazienko, Julita Bielaniewicz, Marcin Gruza, Kamil Kanclerz, Konrad Karanowski, Piotr D Miłkowski, Jan Kocoń

    Information Fusion · 2023

  18. Incremental recursive ranking grouping - a decomposition strategy for additively and nonadditively separable problems

    Marcin M. Komarnicki, Halina Kwaśnicka, Michał W Przewoźniczek, Krzysztof Walkowiak

    GECCO’23 Companion · 2023

  19. CenterlinePointNet++: a new point cloud based architecture for coronary artery pressure drop and vFFR estimation

    Patryk Rygiel, Maciej M Zięba, Paweł Płuszka, Tomasz Konopczyński

    MICCAI 2023 · 2023

  20. Classical out-of-distribution detection methods benchmark in text classification tasks

    Mateusz Baran, Joanna Baran, Mateusz A Wójcik, Maciej M Zięba, Adam F Gonczarek

    The 61st Annual Meeting of the Association for Computational Linguistics, ACL-SRW 2023 · 2023