Michal Myller

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Image Segmentation

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa
Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. GECCO Companion (2024)
Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa
Standardized validation of vehicle routing algorithms. Appl. Intell. 54 (2) (2024)
Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela
The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP (2022)
Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa
Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. IGARSS (2022)
Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa
Particle Swarm Optimization Configures the Route Minimization Algorithm. ICCS (1) (2022)
Maciej Ziaja, Piotr Bosowski, Michal Myller, Grzegorz Gajoch, Michal Gumiela, Jennifer Protich, Katherine Borda, Dhivya Jayaraman, Renata Dividino, Jakub Nalepa
Benchmarking Deep Learning for On-Board Space Applications. Remote. Sens. 13 (19) (2021)
Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok
Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. Remote. Sens. 13 (8) (2021)
Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok
Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote. Sens. 13 (20) (2021)
Jakub Nalepa, Michal Myller, Michal Kawulok
Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 17 (2) (2020)
Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz
Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. Microprocess. Microsystems 73 (2020)
Michal Myller, Michal Kawulok, Jakub Nalepa
Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. S+SSPR (2020)
Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak
Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders. IEEE Geosci. Remote. Sens. Lett. 17 (11) (2020)
Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. IGARSS (2020)
Jakub Nalepa, Michal Myller, Michal Kawulok
Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17 (7) (2020)
Jakub Nalepa, Michal Myller, Michal Kawulok
Validating Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 16 (8) (2019)
Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak
Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders. CoRR (2019)
Jakub Nalepa, Michal Myller, Michal Kawulok
Hyperspectral Data Augmentation. CoRR (2019)
Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. CoRR (2019)
Jakub Nalepa, Michal Myller, Michal Kawulok
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images. CoRR (2019)
Jakub Nalepa, Michal Myller, Szymon Piechaczek, Krzysztof Hrynczenko, Michal Kawulok
Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks. BDAS (2018)
Jakub Nalepa, Michal Myller, Michal Kawulok
Validating Hyperspectral Image Segmentation. CoRR (2018)
Jakub Nalepa, Szymon Piechaczek, Michal Myller, Krzysztof Hrynczenko
Multi-scale Voting Classifiers for Breast-Cancer Histology Images. INCoS (2018)