Przemyslaw Spurek

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 96

Top Venues

Publications

Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania, Marcin Mazur
Modeling 3D Surfaces with a Locally Conditioned Atlas. ICCS (2) (2024)
Joanna Waczynska, Piotr Borycki, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek
GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting. CoRR (2024)
Joanna Waczynska, Piotr Borycki, Joanna Kaleta, Slawomir Konrad Tadeja, Przemyslaw Spurek
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup. CoRR (2024)
Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. 248 (2024)
Pawel Batorski, Dawid Malarz, Marcin Przewiezlikowski, Marcin Mazur, Slawomir Tadeja, Przemyslaw Spurek
HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation. CoRR (2024)
Krzysztof Byrski, Jacek Tabor, Przemyslaw Spurek
Gaussian model for closed curves. Expert Syst. Appl. 249 (2024)
Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). AAAI (2024)
Mateusz Poleski, Jacek Tabor, Przemyslaw Spurek
GeoGuide: Geometric guidance of diffusion models. CoRR (2024)
Dominik Zimny, Joanna Waczynska, Tomasz Trzcinski, Przemyslaw Spurek
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. Pattern Recognit. Lett. 185 (2024)
Artur Kasymov, Bartosz Czekaj, Marcin Mazur, Jacek Tabor, Przemyslaw Spurek
NegGS: Negative Gaussian Splatting. CoRR (2024)
Wojciech Zajac, Joanna Waczynska, Piotr Borycki, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering. ICCS (1) (2024)
Patryk Krukowski, Anna Bielawska, Kamil Ksiazek, Pawel Wawrzynski, Pawel Batorski, Przemyslaw Spurek
HyperInterval: Hypernetwork approach to training weight interval regions in continual learning. CoRR (2024)
Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
Face Identity-Aware Disentanglement in StyleGAN. WACV (2024)
Georgii Stanishevskii, Jakub Steczkiewicz, Tomasz Szczepanik, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek
ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting. CoRR (2024)
Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
Face Identity-Aware Disentanglement in StyleGAN. CoRR (2023)
Wojciech Zajac, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering. CoRR (2023)
Adam Kania, Artur Kasymov, Maciej Zieba, Przemyslaw Spurek
HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN. CoRR (2023)
Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
HyperShot: Few-Shot Learning by Kernel HyperNetworks. WACV (2023)
Lukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bartlomiej Cupial, Aneta Kaczynska, Przemyslaw Spurek, Jacek Tabor
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. CoRR (2023)
Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
Hypernetworks Build Implicit Neural Representations of Sounds. ECML/PKDD (4) (2023)
Dominik Zimny, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation. CoRR (2023)
Marcin Sendera, Marcin Przewiezlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
The general framework for few-shot learning by kernel HyperNetworks. Mach. Vis. Appl. 34 (4) (2023)
Dawid Malarz, Weronika Smolak, Jacek Tabor, Slawomir Konrad Tadeja, Przemyslaw Spurek
Gaussian Splatting with NeRF-based Color and Opacity. CoRR (2023)
Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
Hypernetworks build Implicit Neural Representations of Sounds. CoRR (2023)
Kamil Ksiazek, Przemyslaw Spurek
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning. CoRR (2023)
Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja, Tomasz Trzcinski, Przemyslaw Spurek
HyperColor: A HyperNetwork Approach for Synthesizing Autocolored 3-D Models for Game Scenes Population. IEEE Trans. Games 15 (4) (2023)
Krzysztof Byrski, Przemyslaw Spurek, Jacek Tabor
Gaussian model for closed curves. CoRR (2023)
Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor
Bounding Evidence and Estimating Log-Likelihood in VAE. AISTATS (2023)
Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. ICML (2022)
Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
HyperShot: Few-Shot Learning by Kernel HyperNetworks. CoRR (2022)
Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. CoRR (2022)
Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor
Bounding Evidence and Estimating Log-Likelihood in VAE. CoRR (2022)
Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak
Generative models with kernel distance in data space. Neurocomputing 487 (2022)
Marcin Mazur, Lukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemyslaw Spurek
Target layer regularization for continual learning using Cramer-Wold distance. Inf. Sci. 609 (2022)
Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek
Hypernetwork approach to Bayesian MAML. CoRR (2022)
Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor
Nonlinear Weighted Independent Component Analysis. IPMU (2) (2022)
Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
Continual Learning with Guarantees via Weight Interval Constraints. ICML (2022)
Lukasz Struski, Szymon Knop, Przemyslaw Spurek, Wiktor Daniec, Jacek Tabor
LocoGAN - Locally convolutional GAN. Comput. Vis. Image Underst. 221 (2022)
Przemyslaw Spurek, Artur Kasymov, M. Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
HyperPocket: Generative Point Cloud Completion. IROS (2022)
Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks. CoRR (2022)
Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor T. Podolak
Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders. ICIP (2022)
Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
Continual Learning with Guarantees via Weight Interval Constraints. CoRR (2022)
D. Zimny, Tomasz Trzcinski, Przemyslaw Spurek
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. CoRR (2022)
Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski
General Hypernetwork Framework for Creating 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Marcin Przewiezlikowski, P. Przybysz, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks. CoRR (2022)
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor
Flow-based SVDD for anomaly detection. CoRR (2021)
Michal Sadowski, Karol J. Piczak, Przemyslaw Spurek, Tomasz Trzcinski
Continual Learning of 3D Point Cloud Generators. ICONIP (1) (2021)
Lukasz Struski, Pawel Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
Efficient GPU implementation of randomized SVD and its applications. CoRR (2021)
Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir K. Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
HyperPocket: Generative Point Cloud Completion. CoRR (2021)
Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. ICTAI (2021)
Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemyslaw Spurek, Tomasz Trzcinski
End-to-End Sinkhorn Autoencoder With Noise Generator. IEEE Access 9 (2021)
Ivan Kostiuk, Przemyslaw Stachura, Slawomir K. Tadeja, Tomasz Trzcinski, Przemyslaw Spurek
HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population. CoRR (2021)
Marcin Sendera, Lukasz Struski, Przemyslaw Spurek
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. ICONIP (5) (2021)
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR (2021)
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS (2021)
Marcin Mazur, Lukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemyslaw Spurek
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator. CoRR (2021)
Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek
HyperCube: Implicit Field Representations of Voxelized 3D Models. CoRR (2021)
Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas. CoRR (2021)
Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
Processing of Incomplete Images by (Graph) Convolutional Neural Networks. ICONIP (2) (2020)
Szymon Knop, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski
Cramer-Wold Auto-Encoder. J. Mach. Learn. Res. 21 (2020)
Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. CoRR (2020)
Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak
Generative models with kernel distance in data space. CoRR (2020)
Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski
Hypernetwork approach to generating point clouds. CoRR (2020)
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
Flow-based anomaly detection. CoRR (2020)
Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR (2020)
Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski
Hypernetwork approach to generating point clouds. ICML (2020)
Lukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemyslaw Spurek
LocoGAN - Locally Convolutional GAN. CoRR (2020)
Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) (2020)
Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
Spatial Graph Convolutional Networks. ICONIP (5) (2020)
Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
Processing of incomplete images by (graph) convolutional neural networks. CoRR (2020)
Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski
HyperFlow: Representing 3D Objects as Surfaces. CoRR (2020)
Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor
WICA: nonlinear weighted ICA. CoRR (2020)
Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. ESANN (2020)
Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja
Projected memory clustering. Pattern Recognit. Lett. 123 (2019)
Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
Non-linear ICA based on Cramer-Wold metric. CoRR (2019)
Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik
One-element Batch Training by Moving Window. CoRR (2019)
Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
Geometric Graph Convolutional Neural Networks. CoRR (2019)
Szymon Knop, Marcin Mazur, Jacek Tabor, Igor T. Podolak, Przemyslaw Spurek
Sliced generative models. CoRR (2019)
Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. CoRR (2019)
Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor
Independent Component Analysis based on multiple data-weighting. CoRR (2019)
Przemyslaw Spurek, Krzysztof Byrski, Jacek Tabor
Online updating of active function cross-entropy clustering. Pattern Anal. Appl. 22 (4) (2019)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) (2019)
Marek Smieja, Jacek Tabor, Przemyslaw Spurek
SVM with a neutral class. Pattern Anal. Appl. 22 (2) (2019)
Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
Lossy compression approach to subspace clustering. Inf. Sci. 435 (2018)
Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
Processing of missing data by neural networks. NeurIPS (2018)
Jacek Tabor, Szymon Knop, Przemyslaw Spurek, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski
Cramer-Wold AutoEncoder. CoRR (2018)
Przemyslaw Spurek, Jacek Tabor, Lukasz Struski, Marek Smieja
Fast independent component analysis algorithm with a simple closed-form solution. Knowl. Based Syst. 161 (2018)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Deep processing of structured data. CoRR (2018)
Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
Processing of missing data by neural networks. CoRR (2018)
Przemyslaw Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Smieja
R Package CEC. Neurocomputing 237 (2017)
Przemyslaw Spurek
General split gaussian Cross-Entropy clustering. Expert Syst. Appl. 68 (2017)
Krzysztof Hajto, Konrad Kamieniecki, Krzysztof Misztal, Przemyslaw Spurek
Split-and-merge Tweak in Cross Entropy Clustering. CISIM (2017)
Przemyslaw Spurek, Jacek Tabor, P. Rola, M. Ociepka
ICA based on asymmetry. Pattern Recognit. 67 (2017)
Przemyslaw Spurek, Jacek Tabor, Krzysztof Byrski
Active function Cross-Entropy Clustering. Expert Syst. Appl. 72 (2017)
Przemyslaw Spurek, Wieslaw Palka
Clustering of Gaussian distributions. IJCNN (2016)
Arkadiusz Tomczyk, Przemyslaw Spurek, Michal Podgórski, Krzysztof Misztal, Jacek Tabor
Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation. CORES (2015)
Jacek Tabor, Przemyslaw Spurek, Konrad Kamieniecki, Marek Smieja, Krzysztof Misztal
Introduction to Cross-Entropy Clustering The R Package CEC. CoRR (2015)
Przemyslaw Spurek, Mateusz Wójcik, Jacek Tabor
Cross-Entropy Clustering Approach to One-Class Classification. ICAISC (1) (2015)
Przemyslaw Spurek, Alena Chaikouskaya, Jacek Tabor, Elzbieta Zajac
A Local Gaussian Filter and Adaptive Morphology as Tools for Completing Partially Discontinuous Curves. CISIM (2014)

Przemyslaw Spurek.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Przemyslaw Spurek