Maciej Zieba

According to our database, Maciej Zieba authored at least 59 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MineCam: Application of Combined Remote Sensing and Machine Learning for Segmentation and Change Detection of Mining Areas Enabling Multi-Purpose Monitoring.

Katarzyna Jablonska, Marcin Maksymowicz, Dariusz Tanajewski, Wojciech Kaczan, Maciej Zieba, Marek Wilgucki

Remote. Sens., March, 2024

Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation.

Michal Stypulkowski, Konstantinos Vougioukas, Sen He, Maciej Zieba, Stavros Petridis, Maja Pantic

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

The general framework for few-shot learning by kernel HyperNetworks.

Marcin Sendera, Marcin Przewiezlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek

Mach. Vis. Appl., July, 2023

Continual learning on 3D point clouds with random compressed rehearsal.

Maciej Zamorski, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba

Comput. Vis. Image Underst., February, 2023

Dimma: Semi-supervised Low Light Image Enhancement with Adaptive Dimming.

Wojciech Kozlowski, Michal Szachniewicz, Michal Stypulkowski, Maciej Zieba

CoRR, 2023

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

Michal Szachniewicz, Wojciech Kozlowski, Michal Stypulkowski, Maciej Zieba

CoRR, 2023

MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation.

Dominik Zimny, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek

CoRR, 2023

NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering.

Wojciech Zajac, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek

CoRR, 2023

HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN.

Adam Kania, Artur Kasymov, Maciej Zieba, Przemyslaw Spurek

CoRR, 2023

Generic projections of the H₄ configuration of points.

Paulina Wisniewska, Maciej Zieba

Adv. Appl. Math., 2023

HyperShot: Few-Shot Learning by Kernel HyperNetworks.

Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation.

Patryk Rygiel, Pawel Pluszka, Maciej Zieba, Tomasz K. Konopczynski

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows.

Piotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba

Proceedings of the IEEE International Conference on Data Mining, 2023

TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression.

Patryk Wielopolski, Maciej Zieba

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks.

Mateusz Baran, Joanna Baran, Mateusz Wójcik, Maciej Zieba, Adam Gonczarek

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

Flow Plugin Network for Conditional Generation.

Patryk Wielopolski, Michal Koperski, Maciej Zieba

Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023

2022

General Hypernetwork Framework for Creating 3D Point Clouds.

Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Two-headed eye-segmentation approach for biometric identification.

Wiktor Lazarski, Maciej Zieba, Tanguy Jeanneau, Tobias Zillig, Christian Brendel

CoRR, 2022

TreeFlow: Going beyond Tree-based Gaussian Probabilistic Regression.

Patryk Wielopolski, Maciej Zieba

CoRR, 2022

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks.

Marcin Przewiezlikowski, P. Przybysz, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek

CoRR, 2022

FlowHMM: Flow-based continuous hidden Markov models.

Pawel Lorek, Rafal Nowak, Tomasz Trzcinski, Maciej Zieba

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Eigenvector Grouping for Point Cloud Vessel Labeling.

Patryk Rygiel, Maciej Zieba, Tomasz K. Konopczynski

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

PluGeN: Multi-Label Conditional Generation from Pre-trained Models.

Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Representing point clouds with generative conditional invertible flow networks.

Michal Stypulkowski, Kacper Kania, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski, Jan Chorowski

Pattern Recognit. Lett., 2021

Modeling 3D Surface Manifolds with a Locally Conditioned Atlas.

Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania

CoRR, 2021

Non-Gaussian Gaussian Processes for Few-Shot Regression.

Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Adversarial autoencoders for compact representations of 3D point clouds.

Maciej Zamorski, Maciej Zieba, Piotr Klukowski, Rafal Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzcinski

Comput. Vis. Image Underst., 2020

RegFlow: Probabilistic Flow-based Regression for Future Prediction.

Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek

CoRR, 2020

HyperFlow: Representing 3D Objects as Surfaces.

Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski

CoRR, 2020

UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree.

Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hypernetwork approach to generating point clouds.

Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski

Proceedings of the 37th International Conference on Machine Learning, 2020

Generative Modeling in Application to Point Cloud Completion.

Maciej Zamorski, Maciej Zieba, Jerzy Swiatek

Proceedings of the Artificial Intelligence and Soft Computing, 2020

Semi-supervised Representation Learning for 3D Point Clouds.

Adrian Zdobylak, Maciej Zieba

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

Comparison of Aggregation Functions for 3D Point Clouds Classification.

Maciej Zamorski, Maciej Zieba, Jerzy Swiatek

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

Post-training Quantization Methods for Deep Learning Models.

Piotr Kluska, Maciej Zieba

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019

Conditional Invertible Flow for Point Cloud Generation.

Michal Stypulkowski, Maciej Zamorski, Maciej Zieba, Jan Chorowski

CoRR, 2019

Generative Adversarial Networks: Recent Developments.

Maciej Zamorski, Adrian Zdobylak, Maciej Zieba, Jerzy Swiatek

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Semi-supervised Learning with Bidirectional GANs.

Maciej Zamorski, Maciej Zieba

Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018

Adversarial Autoencoders for Generating 3D Point Clouds.

Maciej Zamorski, Maciej Zieba, Rafal Nowak, Wojciech Stokowiec, Tomasz Trzcinski

CoRR, 2018

NMRNet: a deep learning approach to automated peak picking of protein NMR spectra.

Piotr Klukowski, Michal Augoff, Maciej Zieba, Maciej Drwal, Adam Gonczarek, Michal J. Walczak

Bioinform., 2018

Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra.

Maciej Zieba, Piotr Klukowski, Adam Gonczarek, Yaroslav Nikolaev, Michal J. Walczak

Appl. Soft Comput., 2018

BinGAN: Learning Compact Binary Descriptors with a Regularized GAN.

Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Training Triplet Networks with GAN.

Maciej Zieba, Lei Wang

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction.

Maciej Zieba, Sebastian K. Tomczak, Jakub M. Tomczak

Expert Syst. Appl., 2016

Self-paced Learning for Imbalanced Data.

Maciej Zieba, Jakub M. Tomczak, Jerzy Swiatek

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015

Boosted SVM with active learning strategy for imbalanced data.

Maciej Zieba, Jakub M. Tomczak

Soft Comput., 2015

Probabilistic combination of classification rules and its application to medical diagnosis.

Jakub M. Tomczak, Maciej Zieba

Mach. Learn., 2015

Classification Restricted Boltzmann Machine for comprehensible credit scoring model.

Jakub M. Tomczak, Maciej Zieba

Expert Syst. Appl., 2015

RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique.

Maciej Zieba, Jakub M. Tomczak, Adam Gonczarek

Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014

Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients.

Maciej Zieba, Jakub M. Tomczak, Marek Lubicz, Jerzy Swiatek

Appl. Soft Comput., 2014

Selecting right questions with Restricted Boltzmann Machines.

Maciej Zieba, Jakub M. Tomczak, Krzysztof Brzostowski

Proceedings of the Progress in Systems Engineering, 2014

2013

On-line bayesian context change detection in web service systems.

Jakub Mikolaj Tomczak, Maciej Zieba

Proceedings of the 2013 international workshop on Hot topics in cloud services, 2013

Cost Sensitive SVM with Non-informative Examples Elimination for Imbalanced Postoperative Risk Management Problem.

Maciej Zieba, Jerzy Swiatek, Marek Lubicz

Proceedings of the Advances in Systems Science, 2013

Ensemble SVM for imbalanced data and missing values in postoperative risk management.

Maciej Zieba, Jerzy Swiatek

Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

2012

Ensemble Classifier for Solving Credit Scoring Problems.

Maciej Zieba, Jerzy Swiatek

Proceedings of the Technological Innovation for Value Creation, 2012

2011

On some method for limited services selection.

Agnieszka Prusiewicz, Maciej Zieba

Int. J. Intell. Inf. Database Syst., 2011

The Proposal of Service Oriented Data Mining System for Solving Real-Life Classification and Regression Problems.

Agnieszka Prusiewicz, Maciej Zieba

Proceedings of the Technological Innovation for Sustainability, 2011

Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm.

Krzysztof Brzostowski, Maciej Zieba

Proceedings of the 21st International Conference on Systems Engineering (ICSEng 2011), 2011

2010

Services Recommendation in Systems Based on Service Oriented Architecture by Applying Modified ROCK Algorithm.

Agnieszka Prusiewicz, Maciej Zieba

Proceedings of the Networked Digital Technologies - Second International Conference, 2010