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Mariusz Oszust
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2020 – today
- 2024
- [j27]Karol Cymerys, Mariusz Oszust
:
Attraction-Repulsion Optimization Algorithm for Global Optimization Problems. Swarm Evol. Comput. 84: 101459 (2024) - 2023
- [j26]Igor Stepien
No-Reference Image Quality Assessment of Magnetic Resonance images with multi-level and multi-model representations based on fusion of deep architectures. Eng. Appl. Artif. Intell. 123(Part A): 106283 (2023) - [j25]Igor Stepien
TIQA-PSI: Toolbox for perceptual Image Quality Assessment of Pan-Sharpened Images. SoftwareX 23: 101494 (2023) - 2022
- [j24]Mariusz Oszust, Marzena Bielecka
Blind image quality assessment of magnetic resonance images with statistics of local intensity extrema. Inf. Sci. 606: 112-125 (2022) - [j23]Igor Stepien
A Brief Survey on No-Reference Image Quality Assessment Methods for Magnetic Resonance Images. J. Imaging 8(6): 160 (2022) - [j22]Igor Stepien
No-Reference Quality Assessment of Pan-Sharpening Images with Multi-Level Deep Image Representations. Remote. Sens. 14(5): 1119 (2022) - [j21]Dawid Warchol
Augmentation of Human Action Datasets with Suboptimal Warping and Representative Data Samples. Sensors 22(8): 2947 (2022) - [c13]Mariusz Oszust
Time Series Augmentation with Time-Scale Modifications and Piecewise Aggregate Approximation for Human Action Recognition. ICTAI 2022: 700-704 - [c12]Dawid Warchol
Efficient Augmentation of Human Action Recognition Datasets with Warped Windows. KES 2022: 3018-3027 - [c11]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation. NeurIPS 2022 - [d4]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v0.1. Zenodo, 2022 [all versions] - [d3]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. Zenodo, 2022 [all versions] - [d2]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. Zenodo, 2022 [all versions] - [d1]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. Zenodo, 2022 [all versions] - [i1]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation. CoRR abs/2207.06214 (2022) - 2021
- [j20]Mariusz Oszust
A hybridization approach with predicted solution candidates for improving population-based optimization algorithms. Inf. Sci. 574: 133-161 (2021) - [j19]Mariusz Oszust
Enhanced Marine Predators Algorithm with Local Escaping Operator for Global Optimization. Knowl. Based Syst. 232: 107467 (2021) - [j18]Igor Stepien
Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment. Sensors 21(4): 1043 (2021) - [j17]Milosz Rajchel, Mariusz Oszust
No-reference image quality assessment of authentically distorted images with global and local statistics. Signal Image Video Process. 15(1): 83-91 (2021) - [c10]Mariusz Oszust, Jakub Krupski:
Isolated Sign Language Recognition with Depth Cameras. KES 2021: 2085-2094 - 2020
- [j16]Rafal Obuchowicz, Mariusz Oszust, Adam Piórkowski
Interobserver variability in quality assessment of magnetic resonance images. BMC Medical Imaging 20(1): 109 (2020) - [j15]Rafal Obuchowicz
Magnetic Resonance Image Quality Assessment by Using Non-Maximum Suppression and Entropy Analysis. Entropy 22(2): 220 (2020) - [j14]Krzysztof Kamycki
Data Augmentation with Suboptimal Warping for Time-Series Classification. Sensors 20(1): 98 (2020)
2010 – 2019
- 2019
- [j13]Mariusz Oszust
No-Reference quality assessment of noisy images with local features and visual saliency models. Inf. Sci. 482: 334-349 (2019) - [j12]Mariusz Oszust
Local Feature Descriptor and Derivative Filters for Blind Image Quality Assessment. IEEE Signal Process. Lett. 26(2): 322-326 (2019) - [j11]Mariusz Oszust
No-Reference Image Quality Assessment with Local Gradient Orientations. Symmetry 11(1): 95 (2019) - 2018
- [j10]Mariusz Oszust
Optimized Filtering With Binary Descriptor for Blind Image Quality Assessment. IEEE Access 6: 42917-42929 (2018) - [j9]Mariusz Oszust
No-reference image quality assessment with local features and high-order derivatives. J. Vis. Commun. Image Represent. 56: 15-26 (2018) - 2017
- [j8]Mariusz Oszust
A Binary Representation for Real-Valued, Local Feature Descriptors. J. Autom. Mob. Robotics Intell. Syst. 11(1): 3-9 (2017) - [j7]Mariusz Oszust
Image quality assessment with lasso regression and pairwise score differences. Multim. Tools Appl. 76(11): 13255-13270 (2017) - [j6]Mariusz Oszust
An approach to vision-based localisation with binary features for partially sighted people. Signal Image Video Process. 11(7): 1261-1269 (2017) - [j5]Mariusz Oszust
No-Reference Image Quality Assessment Using Image Statistics and Robust Feature Descriptors. IEEE Signal Process. Lett. 24(11): 1656-1660 (2017) - 2016
- [j4]Mariusz Oszust
BDSB: Binary descriptor with shared pixel blocks. J. Vis. Commun. Image Represent. 41: 154-165 (2016) - [j3]Mariusz Oszust
An optimisation approach to the design of a fast, compact and distinctive binary descriptor. Signal Image Video Process. 10(8): 1401-1408 (2016) - [j2]Mariusz Oszust
Decision Fusion for Image Quality Assessment using an Optimization Approach. IEEE Signal Process. Lett. 23(1): 65-69 (2016) - 2014
- [j1]Mariusz Oszust
Recognition of signed expressions using visually-oriented subunits obtained by an immune-based optimisation. Int. J. Data Min. Model. Manag. 6(2): 202-216 (2014) - [c9]Mariusz Oszust
Recognition of Signed Expressions Using Symbolic Aggregate Approximation. ICAISC (1) 2014: 745-756 - 2013
- [c8]Mariusz Oszust
Recognition of signed expressions observed by Kinect Sensor. AVSS 2013: 220-225 - [c7]Mariusz Oszust
Polish sign language words recognition with Kinect. HSI 2013: 219-226 - [c6]Mariusz Oszust
Clustering and Classification of Time Series Representing Sign Language Words. ICAISC (2) 2013: 218-229 - 2012
- [c5]Mariusz Oszust
Modelling and Recognition of Signed Expressions Using Subunits Obtained by Data-Driven Approach. AIMSA 2012: 315-324 - 2010
- [c4]Mariusz Oszust
Determining Subunits for Sign Language Recognition by Evolutionary Cluster-Based Segmentation of Time Series. ICAISC (2) 2010: 189-196 - [c3]Mariusz Oszust
Recognition of Signed Expressions Using Cluster-Based Segmentation of Time Series. IP&C 2010: 167-174 - [c2]Mariusz Oszust
Recognition of signed expressions using visually-Oriented subunits obtained by an immune-Based optimization. SoCPaR 2010: 41-46
2000 – 2009
- 2008
- [c1]Mariusz Oszust
A Distributed Immune Algorithm for Solving Optimization Problems. IDC 2008: 147-155
Coauthor Index
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last updated on 2024-12-13 19:07 CET by the dblp team
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