Przemyslaw Spurek

Orcid: 0000-0003-0097-5521

According to our database1, Przemyslaw Spurek authored at least 94 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud.
Pattern Recognit. Lett., 2024

Efficient GPU implementation of randomized SVD and its applications.
Expert Syst. Appl., 2024

Gaussian model for closed curves.
Expert Syst. Appl., 2024

FreSh: Frequency Shifting for Accelerated Neural Representation Learning.
CoRR, 2024

AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models.
CoRR, 2024

Make Interval Bound Propagation great again.
CoRR, 2024

MiraGe: Editable 2D Images using Gaussian Splatting.
CoRR, 2024

GASP: Gaussian Splatting for Physic-Based Simulations.
CoRR, 2024

GeoGuide: Geometric guidance of diffusion models.
CoRR, 2024

NegGS: Negative Gaussian Splatting.
CoRR, 2024

HyperInterval: Hypernetwork approach to training weight interval regions in continual learning.
CoRR, 2024

D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup.
CoRR, 2024

ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting.
CoRR, 2024

HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation.
CoRR, 2024

GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting.
CoRR, 2024

Face Identity-Aware Disentanglement in StyleGAN.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering.
Proceedings of the Computational Science - ICCS 2024, 2024

Modeling 3D Surfaces with a Locally Conditioned Atlas.
Proceedings of the Computational Science - ICCS 2024, 2024

RegFlow: Probabilistic Flow-Based Regression for Future Prediction.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2024

HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
HyperColor: A HyperNetwork Approach for Synthesizing Autocolored 3-D Models for Game Scenes Population.
IEEE Trans. Games, December, 2023

The general framework for few-shot learning by kernel HyperNetworks.
Mach. Vis. Appl., July, 2023

Gaussian Splatting with NeRF-based Color and Opacity.
CoRR, 2023

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy.
CoRR, 2023

HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning.
CoRR, 2023

MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation.
CoRR, 2023

NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering.
CoRR, 2023

HyperNeRFGAN: Hypernetwork approach to 3D NeRF GAN.
CoRR, 2023

HyperShot: Few-Shot Learning by Kernel HyperNetworks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Hypernetworks Build Implicit Neural Representations of Sounds.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Bounding Evidence and Estimating Log-Likelihood in VAE.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
General Hypernetwork Framework for Creating 3D Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Target layer regularization for continual learning using Cramer-Wold distance.
Inf. Sci., 2022

Generative models with kernel distance in data space.
Neurocomputing, 2022

LocoGAN - Locally convolutional GAN.
Comput. Vis. Image Underst., 2022

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks.
CoRR, 2022

Hypernetwork approach to Bayesian MAML.
CoRR, 2022

Points2NeRF: Generating Neural Radiance Fields from 3D point cloud.
CoRR, 2022

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks.
CoRR, 2022

HyperPocket: Generative Point Cloud Completion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Nonlinear Weighted Independent Component Analysis.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Continual Learning with Guarantees via Weight Interval Constraints.
Proceedings of the International Conference on Machine Learning, 2022

LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood.
Proceedings of the International Conference on Machine Learning, 2022

Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Target Layer Regularization for Continual Learning Using Cramer-Wold Generator.
CoRR, 2021

HyperCube: Implicit Field Representations of Voxelized 3D Models.
CoRR, 2021

Flow-based SVDD for anomaly detection.
CoRR, 2021

HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population.
CoRR, 2021

Modeling 3D Surface Manifolds with a Locally Conditioned Atlas.
CoRR, 2021

End-to-End Sinkhorn Autoencoder With Noise Generator.
IEEE Access, 2021

Non-Gaussian Gaussian Processes for Few-Shot Regression.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Examples Detection and Analysis with Layer-wise Autoencoders.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Continual Learning of 3D Point Cloud Generators.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Cramer-Wold Auto-Encoder.
J. Mach. Learn. Res., 2020

Flow-based anomaly detection.
CoRR, 2020

HyperFlow: Representing 3D Objects as Surfaces.
CoRR, 2020

WICA: nonlinear weighted ICA.
CoRR, 2020

Non-linear ICA Based on Cramer-Wold Metric.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Spatial Graph Convolutional Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Processing of Incomplete Images by (Graph) Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Hypernetwork approach to generating point clouds.
Proceedings of the 37th International Conference on Machine Learning, 2020

Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Projected memory clustering.
Pattern Recognit. Lett., 2019

Online updating of active function cross-entropy clustering.
Pattern Anal. Appl., 2019

SVM with a neutral class.
Pattern Anal. Appl., 2019

Geometric Graph Convolutional Neural Networks.
CoRR, 2019

Independent Component Analysis based on multiple data-weighting.
CoRR, 2019

One-element Batch Training by Moving Window.
CoRR, 2019

Sliced generative models.
CoRR, 2019

Set Aggregation Network as a Trainable Pooling Layer.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Fast independent component analysis algorithm with a simple closed-form solution.
Knowl. Based Syst., 2018

Lossy compression approach to subspace clustering.
Inf. Sci., 2018

Deep processing of structured data.
CoRR, 2018

Cramer-Wold AutoEncoder.
CoRR, 2018

Processing of missing data by neural networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
ICA based on asymmetry.
Pattern Recognit., 2017

R Package CEC.
Neurocomputing, 2017

Active function Cross-Entropy Clustering.
Expert Syst. Appl., 2017

General split gaussian Cross-Entropy clustering.
Expert Syst. Appl., 2017

Split-and-merge Tweak in Cross Entropy Clustering.
Proceedings of the Computer Information Systems and Industrial Management, 2017

2016
Clustering of Gaussian distributions.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Introduction to Cross-Entropy Clustering The R Package CEC.
CoRR, 2015

Cross-Entropy Clustering Approach to One-Class Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014
Cross-entropy clustering.
Pattern Recognit., 2014

Subspaces Clustering Approach to Lossy Image Compression.
Proceedings of the Computer Information Systems and Industrial Management, 2014

A Local Gaussian Filter and Adaptive Morphology as Tools for Completing Partially Discontinuous Curves.
Proceedings of the Computer Information Systems and Industrial Management, 2014

2013
The memory center.
Inf. Sci., 2013

Detection of Disk-Like Particles in Electron Microscopy Images.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Weighted Approach to Projective Clustering.
Proceedings of the Computer Information Systems and Industrial Management, 2013

2012
The memory centre
CoRR, 2012

2011
k-means Approach to the Karhunen-Loeve Transform
CoRR, 2011


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