Maciej Zieba - RankMe

110 papers A* 7A 5B 2C 4Journal 66Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations. CoRR Oleksii Furman, Patryk Marszalek, Jan Maslowski, Piotr Gainski, Maciej Zieba, Marek Smieja
2026	J	`jnl`	Metric learning networks for accurate mineral detection with different augmentation techniques. Expert Syst. Appl. Katarzyna Jablonska, Maciej Zieba, Dariusz Tanajewski
2026	J	`jnl`	Reducing Estimation Uncertainty Using Normalizing Flows and Stratification. CoRR Pawel Lorek, Rafal Nowak, Rafal Topolnicki, Tomasz Trzcinski, Maciej Zieba, Aleksandra Krystecka
2026	J	`jnl`	Towards plausibility in time series counterfactual explanations. CoRR Marcin Kostrzewa, Krzysztof Galus, Maciej Zieba
2026	J	`jnl`	UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning. CoRR Piotr Wójcik, Maksym Petrenko, Wojciech Gromski, Przemyslaw Spurek, Maciej Zieba
2026	J	`jnl`	VIGIL: Tackling Hallucination Detection in Image Recontextualization. CoRR Joanna Wojciechowicz, Maria Lubniewska, Jakub Antczak, Justyna Baczynska, Wojciech Gromski, Wojciech Kozlowski, Maciej Zieba
2025	J	`jnl`	Amodal Instance Segmentation for Mealworm Growth Monitoring Using Synthetic Training Images. IEEE Access Przemyslaw Dolata, Pawel Majewski, Piotr Lampa, Maciej Zieba, Jacek Reiner
2025	J	`jnl`	Are Foundation Models Useful for Bankruptcy Prediction? CoRR Marcin Kostrzewa, Oleksii Furman, Roman Furman, Sebastian K. Tomczak, Maciej Zieba
2025	A	`conf`	Classifier-Free Guidance with Adaptive Scaling. ECAI Dawid Malarz, Artur Kasymov, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2025	J	`jnl`	Classifier-free Guidance with Adaptive Scaling. CoRR Dawid Malarz, Artur Kasymov, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2025	J	`jnl`	DiCoFlex: Model-agnostic diverse counterfactuals with flexible control. CoRR Oleksii Furman, Ulvi Movsum-zada, Patryk Marszalek, Maciej Zieba, Marek Smieja
2025	J	`jnl`	From Unlearning to UNBRANDING: A Benchmark for Trademark-Safe Text-to-Image Generation. CoRR Dawid Malarz, Artur Kasymov, Filip Manjak, Maciej Zieba, Przemyslaw Spurek
2025	J	`jnl`	GaINeR: Geometry-Aware Implicit Network Representation. CoRR Weronika Jakubowska, Mikolaj Zielinski, Rafal Tobiasz, Krzysztof Byrski, Maciej Zieba, Dominik Belter, Przemyslaw Spurek
2025	B	`conf`	HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields. DSAA Adam Kania, Artur Kasymov, Jakub Kosciukiewicz, Artur Górak, Marcin Mazur, Maciej Zieba, Przemyslaw Spurek
2025	—	`conf`	Hypernetworks for image recontextualization. UniReps Maciej Zieba, Jakub Balicki, Tomasz Drózdz, Konrad Karanowski, Pawel Lorek, Hong Lyu, Aleksander Skorupa, Tomasz Trzcinski, Oriol Caudevilla, Jakub M. Tomczak
2025	—	`conf`	Image Enhancement with Boosted Schrödinger Bridge. ACIIDS (2) Wojciech Kozlowski, Radoslaw Kuczbanski, Maciej Zieba
2025	A*	`conf`	KeyFace: Expressive Audio-Driven Facial Animation for Long Sequences via KeyFrame Interpolation. CVPR Antoni Bigata Casademunt, Michal Stypulkowski, Rodrigo Mira, Stella Bounareli, Konstantinos Vougioukas, Zoe Landgraf, Nikita Drobyshev, Maciej Zieba, Stavros Petridis, Maja Pantic
2025	J	`jnl`	KeyFace: Expressive Audio-Driven Facial Animation for Long Sequences via KeyFrame Interpolation. CoRR Antoni Bigata Casademunt, Michal Stypulkowski, Rodrigo Mira, Stella Bounareli, Konstantinos Vougioukas, Zoe Landgraf, Nikita Drobyshev, Maciej Zieba, Stavros Petridis, Maja Pantic
2025	J	`jnl`	MultiPlaneNeRF: Neural radiance field with non-trainable representation. Expert Syst. Appl. Dominik Zimny, Artur Kasymov, Adam Kania, Jacek Tabor, Maciej Zieba, Marcin Mazur, Przemyslaw Spurek
2025	B	`conf`	Neural Surface Priors for Editable Gaussian Splatting. IJCNN Jakub Szymkowiak, Weronika Jakubowska, Dawid Malarz, Weronika Smolak-Dyzewska, Maciej Zieba, Wojtek Palubicki, Przemyslaw Musialski, Przemyslaw Spurek
2025	—	`conf`	SupResDiffGAN a New Approach for the Super-Resolution Task. ICCS (Workshops 3) Dawid Kopec, Wojciech Kozlowski, Maciej Wizerkaniuk, Dawid Krutul, Jan Kocon, Maciej Zieba
2025	J	`jnl`	SupResDiffGAN a new approach for the Super-Resolution task. CoRR Dawid Kopec, Wojciech Kozlowski, Maciej Wizerkaniuk, Dawid Krutul, Jan Kocon, Maciej Zieba
2024	C	`conf`	A Comparative Analysis of Siamese Networks and Spectral Angle Mapper for Mineral Detection using Hyperspectral Imagery. IGARSS Katarzyna Jablonska, Maciej Zieba
2024	J	`jnl`	AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models. CoRR Artur Kasymov, Marcin Sendera, Michal Stypulkowski, Maciej Zieba, Przemyslaw Spurek
2024	A	`conf`	Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation. WACV Michal Stypulkowski, Konstantinos Vougioukas, Sen He, Maciej Zieba, Stavros Petridis, Maja Pantic
2024	J	`jnl`	Dimma: Semi-Supervised Low-Light Image Enhancement with Adaptive Dimming. Entropy Wojciech Kozlowski, Michal Szachniewicz, Michal Stypulkowski, Maciej Zieba
2024	J	`jnl`	MineCam: Application of Combined Remote Sensing and Machine Learning for Segmentation and Change Detection of Mining Areas Enabling Multi-Purpose Monitoring. Remote. Sens. Katarzyna Jablonska, Marcin Maksymowicz, Dariusz Tanajewski, Wojciech Kaczan, Maciej Zieba, Marek Wilgucki
2024	—	`conf`	Modeling 3D Surfaces with a Locally Conditioned Atlas. ICCS (2) Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania, Marcin Mazur
2024	J	`jnl`	Multi-Label Conditional Generation From Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. Magdalena Proszewska, Maciej Wolczyk, Maciej Zieba, Patryk Wielopolski, Lukasz Maziarka, Marek Smieja
2024	—	`conf`	NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering. ICCS (1) Wojciech Zajac, Joanna Waczynska, Piotr Borycki, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
2024	J	`jnl`	Neural Surface Priors for Editable Gaussian Splatting. CoRR Jakub Szymkowiak, Weronika Jakubowska, Dawid Malarz, Weronika Smolak-Dyzewska, Maciej Zieba, Przemyslaw Musialski, Wojtek Palubicki, Przemyslaw Spurek
2024	J	`jnl`	NodeFlow: Towards End-to-End Flexible Probabilistic Regression on Tabular Data. Entropy Patryk Wielopolski, Oleksii Furman, Maciej Zieba
2024	A	`conf`	Probabilistically Plausible Counterfactual Explanations with Normalizing Flows. ECAI Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zieba
2024	J	`jnl`	Probabilistically Plausible Counterfactual Explanations with Normalizing Flows. CoRR Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zieba
2024	—	`conf`	RegFlow: Probabilistic Flow-Based Regression for Future Prediction. ACIIDS (Companion 2) Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2024	—	`conf`	Self-supervised Adversarial Masking for 3D Point Cloud Representation Learning. ACIIDS (2) Michal Szachniewicz, Wojciech Kozlowski, Michal Stypulkowski, Maciej Zieba
2024	J	`jnl`	Speech driven video editing via an audio-conditioned diffusion model. Image Vis. Comput. Dan Bigioi, Shubhajit Basak, Michal Stypulkowski, Maciej Zieba, Hugh Jordan, Rachel McDonnell, Peter Corcoran
2024	J	`jnl`	Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels. CoRR Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zieba
2023	—	`conf`	CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation. MICCAI (7) Patryk Rygiel, Pawel Pluszka, Maciej Zieba, Tomasz K. Konopczynski
2023	—	`conf`	Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. ACL (student) Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek
2023	J	`jnl`	Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. CoRR Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek
2023	J	`jnl`	Continual learning on 3D point clouds with random compressed rehearsal. Comput. Vis. Image Underst. Maciej Zamorski, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba
2023	J	`jnl`	Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation. CoRR Michal Stypulkowski, Konstantinos Vougioukas, Sen He, Maciej Zieba, Stavros Petridis, Maja Pantic
2023	J	`jnl`	Dimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming. CoRR Wojciech Kozlowski, Michal Szachniewicz, Michal Stypulkowski, Maciej Zieba
2023	—	`conf`	Flow Plugin Network for Conditional Generation. ACIIDS (2) Patryk Wielopolski, Michal Koperski, Maciej Zieba
2023	J	`jnl`	Generic projections of the H Adv. Appl. Math. Paulina Wisniewska, Maciej Zieba
2023	J	`jnl`	HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN. CoRR Adam Kania, Artur Kasymov, Maciej Zieba, Przemyslaw Spurek
2023	A	`conf`	HyperShot: Few-Shot Learning by Kernel HyperNetworks. WACV Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2023	—	`conf`	Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. ICDM (Workshops) Piotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba
2023	J	`jnl`	Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. CoRR Piotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba
2023	J	`jnl`	MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation. CoRR Dominik Zimny, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
2023	J	`jnl`	NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering. CoRR Wojciech Zajac, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
2023	J	`jnl`	Self-supervised adversarial masking for 3D point cloud representation learning. CoRR Michal Szachniewicz, Wojciech Kozlowski, Michal Stypulkowski, Maciej Zieba
2023	J	`jnl`	The general framework for few-shot learning by kernel HyperNetworks. Mach. Vis. Appl. Marcin Sendera, Marcin Przewiezlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2023	A	`conf`	TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression. ECAI Patryk Wielopolski, Maciej Zieba
2022	J	`jnl`	Continual learning on 3D point clouds with random compressed rehearsal. CoRR Maciej Zamorski, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba
2022	—	`conf`	Eigenvector Grouping for Point Cloud Vessel Labeling. GeoMedIA Patryk Rygiel, Maciej Zieba, Tomasz K. Konopczynski
2022	A*	`conf`	FlowHMM: Flow-based continuous hidden Markov models. NeurIPS Pawel Lorek, Rafal Nowak, Tomasz Trzcinski, Maciej Zieba
2022	J	`jnl`	General Hypernetwork Framework for Creating 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski
2022	J	`jnl`	HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks. CoRR Marcin Przewiezlikowski, P. Przybysz, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
2022	J	`jnl`	HyperShot: Few-Shot Learning by Kernel HyperNetworks. CoRR Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2022	A*	`conf`	PluGeN: Multi-Label Conditional Generation from Pre-trained Models. AAAI Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
2022	J	`jnl`	TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression. CoRR Patryk Wielopolski, Maciej Zieba
2022	J	`jnl`	Two-headed eye-segmentation approach for biometric identification. CoRR Wiktor Lazarski, Maciej Zieba, Tanguy Jeanneau, Tobias Zillig, Christian Brendel
2021	J	`jnl`	Flow Plugin Network for conditional generation. CoRR Patryk Wielopolski, Michal Koperski, Maciej Zieba
2021	J	`jnl`	Modeling 3D Surface Manifolds with a Locally Conditioned Atlas. CoRR Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania
2021	A*	`conf`	Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021	J	`jnl`	Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021	J	`jnl`	PluGeN: Multi-Label Conditional Generation From Pre-Trained Models. CoRR Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
2021	J	`jnl`	Representing point clouds with generative conditional invertible flow networks. Pattern Recognit. Lett. Michal Stypulkowski, Kacper Kania, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski, Jan Chorowski
2020	J	`jnl`	Adversarial autoencoders for compact representations of 3D point clouds. Comput. Vis. Image Underst. Maciej Zamorski, Maciej Zieba, Piotr Klukowski, Rafal Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzcinski
2020	—	`conf`	Comparison of Aggregation Functions for 3D Point Clouds Classification. ACIIDS (1) Maciej Zamorski, Maciej Zieba, Jerzy Swiatek
2020	—	`conf`	Generative Modeling in Application to Point Cloud Completion. ICAISC (1) Maciej Zamorski, Maciej Zieba, Jerzy Swiatek
2020	J	`jnl`	HyperFlow: Representing 3D Objects as Surfaces. CoRR Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski
2020	A*	`conf`	Hypernetwork approach to generating point clouds. ICML Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski
2020	J	`jnl`	Hypernetwork approach to generating point clouds. CoRR Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski
2020	—	`conf`	Post-training Quantization Methods for Deep Learning Models. ACIIDS (1) Piotr Kluska, Maciej Zieba
2020	J	`jnl`	RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2020	J	`jnl`	Representing Point Clouds with Generative Conditional Invertible Flow Networks. CoRR Michal Stypulkowski, Kacper Kania, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski, Jan Chorowski
2020	—	`conf`	Semi-supervised Representation Learning for 3D Point Clouds. ACIIDS (1) Adrian Zdobylak, Maciej Zieba
2020	A*	`conf`	UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree. NeurIPS Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz
2020	J	`jnl`	UCSG-Net - Unsupervised Discovering of Constructive Solid Geometry Tree. CoRR Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz
2019	J	`jnl`	Conditional Invertible Flow for Point Cloud Generation. CoRR Michal Stypulkowski, Maciej Zamorski, Maciej Zieba, Jan Chorowski
2019	—	`conf`	Generative Adversarial Networks: Recent Developments. ICAISC (1) Maciej Zamorski, Adrian Zdobylak, Maciej Zieba, Jerzy Swiatek
2019	J	`jnl`	Generative Adversarial Networks: recent developments. CoRR Maciej Zamorski, Adrian Zdobylak, Maciej Zieba, Jerzy Swiatek
2019	—	`conf`	Semi-supervised Learning with Bidirectional GANs. ACIIDS (1) Maciej Zamorski, Maciej Zieba
2018	J	`jnl`	Adversarial Autoencoders for Generating 3D Point Clouds. CoRR Maciej Zamorski, Maciej Zieba, Rafal Nowak, Wojciech Stokowiec, Tomasz Trzcinski
2018	A*	`conf`	BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. NeurIPS Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski
2018	J	`jnl`	BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. CoRR Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski
2018	J	`jnl`	Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra. Appl. Soft Comput. Maciej Zieba, Piotr Klukowski, Adam Gonczarek, Yaroslav Nikolaev, Michal J. Walczak
2018	J	`jnl`	NMRNet: a deep learning approach to automated peak picking of protein NMR spectra. Bioinform. Piotr Klukowski, Michal Augoff, Maciej Zieba, Maciej Drwal, Adam Gonczarek, Michal J. Walczak
2018	J	`jnl`	Semi-supervised learning with Bidirectional GANs. CoRR Maciej Zamorski, Maciej Zieba
2017	—	`conf`	Training Triplet Networks with GAN. ICLR (Workshop) Maciej Zieba, Lei Wang
2017	J	`jnl`	Training Triplet Networks with GAN. CoRR Maciej Zieba, Lei Wang
2016	J	`jnl`	Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction. Expert Syst. Appl. Maciej Zieba, Sebastian K. Tomczak, Jakub M. Tomczak
2016	—	`conf`	Self-paced Learning for Imbalanced Data. ACIIDS (1) Maciej Zieba, Jakub M. Tomczak, Jerzy Swiatek
2015	J	`jnl`	Boosted SVM with active learning strategy for imbalanced data. Soft Comput. Maciej Zieba, Jakub M. Tomczak
2015	J	`jnl`	Classification Restricted Boltzmann Machine for comprehensible credit scoring model. Expert Syst. Appl. Jakub M. Tomczak, Maciej Zieba
2015	J	`jnl`	Probabilistic combination of classification rules and its application to medical diagnosis. Mach. Learn. Jakub M. Tomczak, Maciej Zieba
2015	—	`conf`	RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique. ACIIDS (1) Maciej Zieba, Jakub M. Tomczak, Adam Gonczarek
2014	J	`jnl`	Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients. Appl. Soft Comput. Maciej Zieba, Jakub M. Tomczak, Marek Lubicz, Jerzy Swiatek
2014	C	`conf`	Selecting right questions with Restricted Boltzmann Machines. ICSEng Maciej Zieba, Jakub M. Tomczak, Krzysztof Brzostowski
2013	—	`conf`	Cost Sensitive SVM with Non-informative Examples Elimination for Imbalanced Postoperative Risk Management Problem. ICSS Maciej Zieba, Jerzy Swiatek, Marek Lubicz
2013	C	`conf`	Ensemble SVM for imbalanced data and missing values in postoperative risk management. Healthcom Maciej Zieba, Jerzy Swiatek
2013	—	`conf`	On-line bayesian context change detection in web service systems. HotTopiCS Jakub Mikolaj Tomczak, Maciej Zieba
2012	—	`conf`	Ensemble Classifier for Solving Credit Scoring Problems. DoCEIS Maciej Zieba, Jerzy Swiatek
2011	C	`conf`	Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm. ICSEng Krzysztof Brzostowski, Maciej Zieba
2011	J	`jnl`	On some method for limited services selection. Int. J. Intell. Inf. Database Syst. Agnieszka Prusiewicz, Maciej Zieba
2011	—	`conf`	The Proposal of Service Oriented Data Mining System for Solving Real-Life Classification and Regression Problems. DoCEIS Agnieszka Prusiewicz, Maciej Zieba
2010	—	`conf`	Services Recommendation in Systems Based on Service Oriented Architecture by Applying Modified ROCK Algorithm. NDT (2) Agnieszka Prusiewicz, Maciej Zieba