Bartosz Zielinski

94 papers A* 8A 8B 3C 1Misc 1Journal 53Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DAVE: Distribution-aware Attribution via ViT Gradient Decomposition. CoRR Adam Wróbel, Siddhartha Gairola, Jacek Tabor, Bernt Schiele, Bartosz Zielinski, Dawid Rymarczyk
2026	J	`jnl`	ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification. CoRR Mikolaj Janusz, Adam Wróbel, Bartosz Zielinski, Dawid Rymarczyk
2026	J	`jnl`	SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models. CoRR Turhan Can Kargin, Wojciech Jasinski, Adam Pardyl, Bartosz Zielinski, Marcin Przewiezlikowski
2025	J	`jnl`	AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients. CoRR Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk, Aldona Olechowska-Jarzab, Katarzyna Biegun-Drozdz, Dorota Ochonska, Michal Wronka, Adriana Borowa, Tomasz Gosiewski, Milosz Adamczyk, Henryk Telega, Bartosz Zielinski, Monika Brzychczy-Wloch
2025	J	`jnl`	AI-driven rapid identification of bacterial and fungal pathogens in blood smears of septic patients. Comput. Biol. Medicine Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk, Aldona Olechowska-Jarzab, Katarzyna Biegun-Drozdz, Dorota Ochonska, Michal Wronka, Adriana Borowa, Tomasz Gosiewski, Milosz Adamczyk, Henryk Telega, Bartosz Zielinski, Monika Brzychczy-Wloch
2025	A	`conf`	Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers. WACV Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzcinski, Bartosz Zielinski
2025	J	`jnl`	Efficient Multi-Source Knowledge Transfer by Model Merging. CoRR Marcin Osial, Bartosz Wójcik, Bartosz Zielinski, Sebastian Cygert
2025	J	`jnl`	FlySearch: Exploring how vision-language models explore. CoRR Adam Pardyl, Dominik Matuszek, Mateusz Przebieracz, Marek Cygan, Bartosz Zielinski, Maciej Wolczyk
2025	—	`conf`	HCS-DFC: A Diffusion Classifier for Mode of Action Prediction Using Morphological Profiles. CVPR Workshops Jakub Kosciukiewicz, Dawid Rymarczyk, Bartosz Zielinski
2025	J	`jnl`	Personalized Interpretability - Interactive Alignment of Prototypical Parts Networks. CoRR Tomasz Michalski, Adam Wróbel, Andrea Bontempelli, Jakub Lustyk, Mikolaj Kniejski, Stefano Teso, Andrea Passerini, Bartosz Zielinski, Dawid Rymarczyk
2025	A	`conf`	TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration. WACV Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach, Bartosz Zielinski
2025	J	`jnl`	This looks like what? Challenges and Future Research Directions for Part-Prototype Models. CoRR Khawla Elhadri, Tomasz Michalski, Adam Wróbel, Jörg Schlötterer, Bartosz Zielinski, Christin Seifert
2024	—	`conf`	A Deep Cut Into Split Federated Self-Supervised Learning. ECML/PKDD (2) Marcin Przewiezlikowski, Marcin Osial, Bartosz Zielinski, Marek Smieja
2024	J	`jnl`	A deep cut into Split Federated Self-supervised Learning. CoRR Marcin Przewiezlikowski, Marcin Osial, Bartosz Zielinski, Marek Smieja
2024	—	`conf`	AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. ECCV (21) Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
2024	J	`jnl`	AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. CoRR Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
2024	J	`jnl`	Augmentation-aware self-supervised learning with conditioned projector. Knowl. Based Syst. Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja
2024	J	`jnl`	Beyond [cls]: Exploring the true potential of Masked Image Modeling representations. CoRR Marcin Przewiezlikowski, Randall Balestriero, Wojciech Jasinski, Marek Smieja, Bartosz Zielinski
2024	A*	`conf`	Divide and not forget: Ensemble of selectively trained experts in Continual Learning. ICLR Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski
2024	J	`jnl`	Divide and not forget: Ensemble of selectively trained experts in Continual Learning. CoRR Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski
2024	A*	`conf`	Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2024	J	`jnl`	LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. CoRR Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2024	J	`jnl`	OMENN: One Matrix to Explain Neural Networks. CoRR Adam Wróbel, Mikolaj Janusz, Bartosz Zielinski, Dawid Rymarczyk
2024	J	`jnl`	Parameter-Efficient Interventions for Enhanced Model Merging. CoRR Marcin Osial, Daniel Marczak, Bartosz Zielinski
2024	J	`jnl`	ProPML: Probability Partial Multi-label Learning. CoRR Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
2024	B	`conf`	ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery. ESANN Tomasz Michalski, Dawid Rymarczyk, Daniel Barczyk, Bartosz Zielinski
2024	—	`conf`	Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks. xAI (1) Szymon Oplatek, Dawid Rymarczyk, Bartosz Zielinski
2024	J	`jnl`	Revisiting FunnyBirds evaluation framework for prototypical parts networks. CoRR Szymon Oplatek, Dawid Rymarczyk, Bartosz Zielinski
2024	A	`conf`	Zero-Waste Machine Learning. ECAI Tomasz Trzcinski, Bartlomiej Twardowski, Bartosz Zielinski, Kamil Adamczewski, Bartosz Wójcik
2023	A*	`conf`	Active Visual Exploration Based on Attention-Map Entropy. IJCAI Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski
2023	J	`jnl`	Active Visual Exploration Based on Attention-Map Entropy. CoRR Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski
2023	J	`jnl`	Augmentation-aware Self-supervised Learning with Guided Projector. CoRR Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja
2023	J	`jnl`	Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers. CoRR Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzcinski, Bartosz Zielinski
2023	A	`conf`	CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer. ECAI 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
2023	A*	`conf`	ICICLE: Interpretable Class Incremental Continual Learning. ICCV Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
2023	J	`jnl`	ICICLE: Interpretable Class Incremental Continual Learning. CoRR Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski
2023	J	`jnl`	Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning. IEEE J. Biomed. Health Informatics Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Wloch, Bartosz Zielinski
2023	J	`jnl`	Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	A	`conf`	ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
2023	B	`conf`	ProPML: Probability Partial Multi-label Learning. DSAA Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
2023	A	`conf`	ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	A	`conf`	SONGs: Self-Organizing Neural Graphs. WACV Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	Token Recycling for Efficient Sequential Inference with Vision Transformers. CoRR Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach, Bartosz Zielinski
2023	J	`jnl`	Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. IEEE Access Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
2022	—	`conf`	Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes. ICONIP (7) Adam Pardyl, Dawid Rymarczyk, Zbislaw Tabor, Bartosz Zielinski
2022	—	`conf`	Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2022	J	`jnl`	ProPaLL: Probabilistic Partial Label Learning. CoRR Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2022	—	`conf`	ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification. ECML/PKDD (1) Dawid Rymarczyk, Adam Pardyl, Jaroslaw Kraus, Aneta Kaczynska, Marek Skomorowski, Bartosz Zielinski
2022	—	`conf`	Weakly-Supervised Cell Classification for Effective High Content Screening. ICCS (1) Adriana Borowa, Szczepan Kruczek, Jacek Tabor, Bartosz Zielinski
2022	—	`conf`	Which Visual Features Impact the Performance of Target Task in Self-supervised Learning? ICCS (1) Witold Oleszkiewicz, Dominika Basaj, Tomasz Trzcinski, Bartosz Zielinski
2021	—	`conf`	Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images. MedInfo Dawid Rymarczyk, Adriana Borowa, Anna Bracha, Maurycy Chronowski, Wojciech Ozimek, Bartosz Zielinski
2021	B	`conf`	Deep learning classification of bacteria clones explained by persistence homology. IJCNN Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski
2021	A*	`conf`	Explaining Self-Supervised Image Representations with Visual Probing. IJCAI Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski
2021	J	`jnl`	Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2021	A	`conf`	Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. WACV Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	Persistence codebooks for topological data analysis. Artif. Intell. Rev. Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko
2021	J	`jnl`	ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability. CoRR Dawid Rymarczyk, Aneta Kaczynska, Jaroslaw Kraus, Adam Pardyl, Bartosz Zielinski
2021	A*	`conf`	ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	SONG: Self-Organizing Neural Graphs. CoRR Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. CoRR Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
2021	—	`conf`	What Pushes Self-supervised Image Representations Away? ICONIP (5) Bartosz Zielinski, Michal Górszczak
2020	J	`jnl`	Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology. CoRR Adriana Borowa, Dawid Rymarczyk, Dorota Ochonska, Monika Brzychczy-Wloch, Bartosz Zielinski
2020	J	`jnl`	Deep learning approach to describe and classify fungi microscopic images. CoRR Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch
2020	J	`jnl`	Kernel Self-Attention in Deep Multiple Instance Learning. CoRR Dawid Rymarczyk, Jacek Tabor, Bartosz Zielinski
2020	J	`jnl`	ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2019	J	`jnl`	Deep learning approach to description and classification of fungi microscopic images. CoRR Bartosz Zielinski, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, Adam Piekarczyk, Monika Brzychczy-Wloch
2019	A*	`conf`	Persistence Bag-of-Words for Topological Data Analysis. IJCAI Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko
2019	—	`conf`	Variational auto-encoders for generating feature-preserving automata. NCMA Igor T. Podolak, Adam Roman, Arkadiusz Czekajski, Damian Lesniak, Bartosz Zielinski
2018	J	`jnl`	A machine learning approach to synchronization of automata. Expert Syst. Appl. Igor T. Podolak, Adam Roman, Marek Szykula, Bartosz Zielinski
2018	J	`jnl`	A study on topological descriptors for the analysis of 3D surface texture. Comput. Vis. Image Underst. Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl
2018	J	`jnl`	Cascade context encoder for improved inpainting. CoRR Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor
2018	J	`jnl`	Persistence Bag-of-Words for Topological Data Analysis. CoRR Bartosz Zielinski, Michal Lipinski, Mateusz Juda, Matthias Zeppelzauer, Pawel Dlotko
2018	J	`jnl`	Persistence Codebooks for Topological Data Analysis. CoRR Bartosz Zielinski, Mateusz Juda, Matthias Zeppelzauer
2018	A*	`conf`	Processing of missing data by neural networks. NeurIPS Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
2018	J	`jnl`	Processing of missing data by neural networks. CoRR Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
2017	J	`jnl`	A Study on Topological Descriptors for the Analysis of 3D Surface Texture. CoRR Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl
2016	Misc	`conf`	Fully-Automatic Method for Assessment of Flow-Mediated Dilation. ICCVG Bartosz Zielinski, Agata Drózdz, Marzena Frolow
2016	—	`conf`	RoughCut-New Approach to Segment High-Resolution Images. ICAISC (2) Mateusz Babiuch, Bartosz Zielinski, Marek Skomorowski
2016	—	`conf`	Topological Descriptors for 3D Surface Analysis. CTIC Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl
2016	J	`jnl`	Topological descriptors for 3D surface analysis. CoRR Matthias Zeppelzauer, Bartosz Zielinski, Mateusz Juda, Markus Seidl
2015	J	`jnl`	Computer aided erosions and osteophytes detection based on hand radiographs. Pattern Recognit. Bartosz Zielinski, Marek Skomorowski, Wadim Wojciechowski, Mariusz Korkosz, Kamila Sprezak
2015	—	`conf`	Schmid Filter and Inpainting in Computer-Aided Erosions and Osteophytes Detection Based on Hand Radiographs. CORES Bartosz Zielinski, Marek Skomorowski
2014	C	`conf`	A new approach to automatic continuous artery diameter measurement. FedCSIS Bartosz Zielinski, Adam Roman, Agata Drózdz, Agata Kowalewska, Marzena Frolow
2011	—	`ch.`	A Shape Description Language for Osteophytes Detection in Upper Surfaces of the Metacarpophalangeal Joints. Computer Recognition Systems 4 Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Kamila Sprezak, Wadim Wojciechowski, Bartosz Zielinski
2011	—	`conf`	Modified Jakubowski Shape Transducer for Detecting Osteophytes and Erosions in Finger Joints. ICANNGA (2) Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Wadim Wojciechowski, Bartosz Zielinski
2010	—	`conf`	Application of Shape Description Methodology to Hand Radiographs Interpretation. ICCVG (1) Marzena Bielecka, Andrzej Bielecki, Mariusz Korkosz, Marek Skomorowski, Wadim Wojciechowski, Bartosz Zielinski
2010	J	`jnl`	Global Extremes Analysis in Applications of Discrete Tomography. Bio Algorithms Med Syst. Leszek Nowak, Bartosz Zielinski
2010	J	`jnl`	Global extremes analysis in applications of discrete tomography. Bio Algorithms Med Syst. Leszek Nowak, Bartosz Zielinski
2010	—	`conf`	Identifying the Borders of the Upper and Lower Metacarpophalangeal Joint Surfaces on Hand Radiographs. ICAISC (1) Andrzej Bielecki, Mariusz Korkosz, Wadim Wojciechowski, Bartosz Zielinski
2009	—	`conf`	A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs. ICANNGA Marzena Bielecka, Marek Skomorowski, Bartosz Zielinski
2009	J	`jnl`	Hand Radiograph Analysis and Joint Space Location Improvement for Image Interpretation. Schedae Informaticae Bartosz Zielinski
2008	J	`jnl`	Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation. Pattern Recognit. Andrzej Bielecki, Mariusz Korkosz, Bartosz Zielinski