Bartosz Zielinski

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 62

Top Topics

Image Classification

Multiple Instance

Top Venues

Publications

Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
ProPML: Probability Partial Multi-label Learning. CoRR (2024)
Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI (2024)
Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski
Divide and not forget: Ensemble of selectively trained experts in Continual Learning. CoRR (2024)
Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. CoRR (2024)
Marcin Przewiezlikowski, Marcin Osial, Bartosz Zielinski, Marek Smieja
A deep cut into Split Federated Self-supervised Learning. CoRR (2024)
Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. CoRR (2024)
Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski
Divide and not forget: Ensemble of selectively trained experts in Continual Learning. ICLR (2024)
Adam Pardyl, Dawid Rymarczyk, Joanna Jaworek-Korjakowska, Dariusz Kucharski, Andrzej Brodzicki, Julia Lasek, Zofia Schneider, Iwona Kucybala, Andrzej Urbanik, Rafal Obuchowicz, Zbislaw Tabor, Bartosz Zielinski
CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer. ECAI (2023)
Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach, Bartosz Zielinski
Token Recycling for Efficient Sequential Inference with Vision Transformers. CoRR (2023)
Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV (2023)
Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski
Active Visual Exploration Based on Attention-Map Entropy. CoRR (2023)
Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. IEEE Access 11 (2023)
Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning. ICCV (2023)
Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzcinski, Bartosz Zielinski
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers. CoRR (2023)
Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Wloch, Bartosz Zielinski
Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR (2023)
Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
ProPML: Probability Partial Multi-label Learning. DSAA (2023)
Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR (2023)
Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR (2023)
Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning. CoRR (2023)
Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja
Augmentation-aware Self-supervised Learning with Guided Projector. CoRR (2023)
Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI (2023)
Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
SONGs: Self-Organizing Neural Graphs. WACV (2023)
Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski
Active Visual Exploration Based on Attention-Map Entropy. IJCAI (2023)
Witold Oleszkiewicz, Dominika Basaj, Tomasz Trzcinski, Bartosz Zielinski
Which Visual Features Impact the Performance of Target Task in Self-supervised Learning? ICCS (1) (2022)
Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) (2022)
Adriana Borowa, Szczepan Kruczek, Jacek Tabor, Bartosz Zielinski
Weakly-Supervised Cell Classification for Effective High Content Screening. ICCS (1) (2022)
Adam Pardyl, Dawid Rymarczyk, Zbislaw Tabor, Bartosz Zielinski
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes. ICONIP (7) (2022)
Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProPaLL: Probabilistic Partial Label Learning. CoRR (2022)
Dawid Rymarczyk, Adam Pardyl, Jaroslaw Kraus, Aneta Kaczynska, Marek Skomorowski, Bartosz Zielinski
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification. ECML/PKDD (1) (2022)
Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski
Deep learning classification of bacteria clones explained by persistence homology. IJCNN (2021)
Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD (2021)
Dawid Rymarczyk, Adriana Borowa, Anna Bracha, Maurycy Chronowski, Wojciech Ozimek, Bartosz Zielinski
Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images. MedInfo (2021)
Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski
Explaining Self-Supervised Image Representations with Visual Probing. IJCAI (2021)
Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR (2021)
Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
SONG: Self-Organizing Neural Graphs. CoRR (2021)
Dawid Rymarczyk, Aneta Kaczynska, Jaroslaw Kraus, Adam Pardyl, Bartosz Zielinski
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability. CoRR (2021)
Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko
Persistence codebooks for topological data analysis. Artif. Intell. Rev. 54 (3) (2021)
Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. CoRR (2021)
Bartosz Zielinski, Michal Górszczak
What Pushes Self-supervised Image Representations Away? ICONIP (5) (2021)
Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. WACV (2021)
Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR (2020)
Dawid Rymarczyk, Jacek Tabor, Bartosz Zielinski
Kernel Self-Attention in Deep Multiple Instance Learning. CoRR (2020)
Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch
Deep learning approach to describe and classify fungi microscopic images. CoRR (2020)
Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski
Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology. CoRR (2020)
Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch
Deep learning approach to description and classification of fungi microscopic images. CoRR (2019)
Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko
Persistence Bag-of-Words for Topological Data Analysis. IJCAI (2019)
Igor T. Podolak, Adam Roman, Arkadiusz Czekajski, Damian Lesniak, Bartosz Zielinski
Variational auto-encoders for generating feature-preserving automata. NCMA (2019)
Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
Processing of missing data by neural networks. NeurIPS (2018)
Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko
Persistence Bag-of-Words for Topological Data Analysis. CoRR (2018)
Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl
A study on topological descriptors for the analysis of 3D surface texture. Comput. Vis. Image Underst. 167 (2018)
Igor T. Podolak, Adam Roman, Marek Szykula, Bartosz Zielinski
A machine learning approach to synchronization of automata. Expert Syst. Appl. 97 (2018)
Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor
Cascade context encoder for improved inpainting. CoRR (2018)
Bartosz Zielinski, Mateusz Juda, Matthias Zeppelzauer
Persistence Codebooks for Topological Data Analysis. CoRR (2018)
Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
Processing of missing data by neural networks. CoRR (2018)
Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl
A Study on Topological Descriptors for the Analysis of 3D Surface Texture. CoRR (2017)
Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl
Topological descriptors for 3D surface analysis. CoRR (2016)
Mateusz Babiuch, Bartosz Zielinski, Marek Skomorowski
RoughCut-New Approach to Segment High-Resolution Images. ICAISC (2) (2016)
Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl
Topological Descriptors for 3D Surface Analysis. CTIC (2016)
Bartosz Zielinski, Agata Drózdz, Marzena Frolow
Fully-Automatic Method for Assessment of Flow-Mediated Dilation. ICCVG (2016)
Bartosz Zielinski, Marek Skomorowski
Schmid Filter and Inpainting in Computer-Aided Erosions and Osteophytes Detection Based on Hand Radiographs. CORES (2015)
Bartosz Zielinski, Marek Skomorowski, Wadim Wojciechowski, Mariusz Korkosz, Kamila Sprezak
Computer aided erosions and osteophytes detection based on hand radiographs. Pattern Recognit. 48 (7) (2015)
Bartosz Zielinski, Adam Roman, Agata Drózdz, Agata Kowalewska, Marzena Frolow
A new approach to automatic continuous artery diameter measurement. FedCSIS (2014)
Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Wadim Wojciechowski, Bartosz Zielinski
Modified Jakubowski Shape Transducer for Detecting Osteophytes and Erosions in Finger Joints. ICANNGA (2) (2011)
Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Wadim Wojciechowski, Bartosz Zielinski
Application of Shape Description Methodology to Hand Radiographs Interpretation. ICCVG (1) (2010)
Leszek Nowak, Bartosz Zielinski
Global extremes analysis in applications of discrete tomography. Bio Algorithms Med Syst. 6 (12-S) (2010)
Leszek Nowak, Bartosz Zielinski
Global Extremes Analysis in Applications of Discrete Tomography. Bio Algorithms Med Syst. 6 (12) (2010)
Andrzej Bielecki, Mariusz Korkosz, Wadim Wojciechowski, Bartosz Zielinski
Identifying the Borders of the Upper and Lower Metacarpophalangeal Joint Surfaces on Hand Radiographs. ICAISC (1) (2010)
Bartosz Zielinski
Hand Radiograph Analysis and Joint Space Location Improvement for Image Interpretation. Schedae Informaticae (2009)
Marzena Bielecka, Marek Skomorowski, Bartosz Zielinski
A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs. ICANNGA (2009)
Andrzej Bielecki, Mariusz Korkosz, Bartosz Zielinski
Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation. Pattern Recognit. 41 (12) (2008)