Zieliński, Bartosz

17 publications

WACV 2025 Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzcinski, Bartosz Zielinski

ICCV 2025 Beyond [cls]: Exploring the True Potential of Masked Image Modeling Representations Marcin Przewięźlikowski, Randall Balestriero, Wojciech Jasiński, Marek Śmieja, Bartosz Zieliński

CVPRW 2025 HCS-DFC: A Diffusion Classifier for Mode of Action Prediction Using Morphological Profiles Jakub Kosciukiewicz, Dawid Rymarczyk, Bartosz Zielinski

WACV 2025 TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration Jan Olszewski, Dawid Damian Rymarczyk, Piotr Wojcik, Mateusz Pach, Bartosz Zielinski

ECML-PKDD 2024 A Deep Cut into Split Federated Self-Supervised Learning Marcin Przewiezlikowski, Marcin Osial, Bartosz Zielinski, Marek Smieja

ECCV 2024 AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zieliński

AAAI 2024 Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski

IJCAI 2023 Active Visual Exploration Based on Attention-mAP Entropy Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski

ICCV 2023 ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk, Joost van de Weijer, Bartosz Zieliński, Bartlomiej Twardowski

WACV 2023 ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikołaj Sacha, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński

WACV 2023 SONGs: Self-Organizing Neural Graphs Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński

ECCV 2022 Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński

ECML-PKDD 2022 ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification Dawid Rymarczyk, Adam Pardyl, Jaroslaw Kraus, Aneta Kaczynska, Marek Skomorowski, Bartosz Zielinski

IJCAI 2021 Explaining Self-Supervised Image Representations with Visual Probing Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski

WACV 2021 Kernel Self-Attention for Weakly-Supervised Image Classification Using Deep Multiple Instance Learning Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski

IJCAI 2019 Persistence Bag-of-Words for Topological Data Analysis Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko

NeurIPS 2018 Processing of Missing Data by Neural Networks Marek Śmieja, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, Przemysław Spurek