Masks and Eigenvectors weights for Eigenfaces Method Improvement. - Michal Kawulok (ICCVG, 2004)

Optimization of Face Relevance Maps with Total Classification Error Minimization. - Michal Kawulok (ICIAR, 2008)

Dynamic Skin Detection in Color Images for Sign Language Recognition. - Michal Kawulok (ICISP, 2008)

Extracting gender discriminating features from facial needle-maps. - Jing Wu 004; William A. P. Smith; Edwin R. Hancock; Michal Kawulok (ICIP, 2009)

Competitive image colorization. - Michal Kawulok; Bogdan Smolka (ICIP, 2010)

Energy-based blob analysis for improving precision of skin segmentation. - Michal Kawulok (Multim. Tools Appl., 2010)

Image Colorization Using Discriminative Textural Features. - Michal Kawulok; Jolanta Kawulok; Bogdan Smolka (MVA, 2011)

Texture-adaptive image colorization framework. - Michal Kawulok; Bogdan Smolka (EURASIP J. Adv. Signal Process., 2011)

Supervised relevance maps for increasing the distinctiveness of facial images. - Michal Kawulok; Jing Wu 004; Edwin R. Hancock (Pattern Recognit., 2011)

Textural Features for Scribble-Based Image Colorization. - Michal Kawulok; Jolanta Kawulok; Bogdan Smolka (Computer Recognition Systems 4, 2011)

Skin Detection Using Color and Distance Transform. - Michal Kawulok (ICCVG, 2012)

Texture Analysis for Skin Probability Maps Refinement. - Michal Kawulok (MCPR, 2012)

Support Vector Machines Training Data Selection Using a Genetic Algorithm. - Michal Kawulok; Jakub Nalepa (SSPR/SPR, 2012)

Discriminative Textural Features for Image and Video Colorization. - Michal Kawulok; Jolanta Kawulok; Bogdan Smolka (IEICE Trans. Inf. Syst., 2012)

Real-Time Wrist Localization in Hand Silhouettes. - Tomasz Grzejszczak; Jakub Nalepa; Michal Kawulok (CORES, 2013)

Fast propagation-based skin regions segmentation in color images. - Michal Kawulok (FG, 2013)

Skin detection using spatial analysis with adaptive seed. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa; Maciej Papiez (ICIP, 2013)

Wrist Localization in Color Images for Hand Gesture Recognition. - Jakub Nalepa; Tomasz Grzejszczak; Michal Kawulok (ICMMI, 2013)

Parallel Hand Shape Classification. - Jakub Nalepa; Michal Kawulok (ISM, 2013)

Fast and Accurate Hand Shape Classification. - Jakub Nalepa; Michal Kawulok (BDAS, 2014)

Self-Adaptive Skin Segmentation in Color Images. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa; Bogdan Smolka (CIARP, 2014)

Adaptive Genetic Algorithm to Select Training Data for Support Vector Machines. - Jakub Nalepa; Michal Kawulok (EvoApplications, 2014)

A memetic algorithm to select training data for support vector machines. - Jakub Nalepa; Michal Kawulok (GECCO, 2014)

Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs. - Michal Kawulok; Jakub Nalepa (IBERAMIA, 2014)

Head Pose Estimation Relying on Appearance-Based Nose Region Analysis. - Krzysztof Pawelczyk; Michal Kawulok (ICCVG, 2014)

Hand pose estimation using support vector machines with evolutionary training. - Michal Kawulok; Jakub Nalepa (IWSSIP, 2014)

Gaze direction estimation from static images. - Krystian Radlak; Michal Kawulok; Bogdan Smolka; Natalia Radlak (MMSP, 2014)

Real-Time Hand Shape Classification. - Jakub Nalepa; Michal Kawulok (CoRR, 2014)

Self-adaptive algorithm for segmenting skin regions. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa; Bogdan Smolka (EURASIP J. Adv. Signal Process., 2014)

Spatial-based skin detection using discriminative skin-presence features. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa (Pattern Recognit. Lett., 2014)

Towards robust SVM training from weakly labeled large data sets. - Michal Kawulok; Jakub Nalepa (ACPR, 2015)

Towards parameter-less support vector machines. - Jakub Nalepa; Krzysztof Siminski; Michal Kawulok (ACPR, 2015)

Real-Time People Counting from Depth Images. - Jakub Nalepa; Janusz Szymanek; Michal Kawulok (BDAS, 2015)

Adaptive Vision Studio - Educational tool for image processing learning. - Krystian Radlak; Mariusz Frackiewicz; Marek Szczepanski; Michal Kawulok; Michal Czardybon (FIE, 2015)

Adaptive memetic algorithm for the job shop scheduling problem. - Jakub Nalepa; Marcin Cwiek; Michal Kawulok (IJCNN, 2015)

Manifold Learning for Hand Pose Recognition: Evaluation Framework. - Maciej Papiez; Michal Kawulok; Jakub Nalepa (BDAS, 2016)

The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm. - Jakub Nalepa; Michal Kawulok (GECCO (Companion), 2016)

In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception. - Michal Kawulok; Jakub Nalepa; Karolina Nurzynska; Bogdan Smolka (IBERAMIA, 2016)

Hybrid adaptation for detecting skin in color images. - Michal Kawulok; Jolanta Kawulok; Jakub Nalepa; Bogdan Smolka (Intell. Data Anal., 2016)

Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs. - Jakub Nalepa; Michal Kawulok (Neurocomputing, 2016)

Hand landmarks detection and localization in color images. - Tomasz Grzejszczak; Michal Kawulok; Adam Galuszka (Multim. Tools Appl., 2016)

Segmenting Lungs from Whole-Body CT Scans. - Maksym Walczak; Izabela Burda; Jakub Nalepa; Michal Kawulok (BDAS, 2017)

Particle swarm optimization for hyper-parameter selection in deep neural networks. - Pablo Ribalta Lorenzo; Jakub Nalepa; Michal Kawulok; Luciano Sánchez Ramos; José Ranilla Pastor (GECCO, 2017)

Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning. - Krzysztof Pawelczyk; Michal Kawulok; Jakub Nalepa; Michael P. Hayball; Sarah J. McQuaid; Vineet Prakash; Balaji Ganeshan (ICIAP (2), 2017)

Tuning and Evolving Support Vector Machine Models. - Jakub Nalepa; Michal Kawulok; Wojciech Dudzik (ICMMI, 2017)

An Alternating Genetic Algorithm for Selecting SVM Model and Training Set. - Michal Kawulok; Jakub Nalepa; Wojciech Dudzik (MCPR, 2017)

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. - Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa; Lukasz Skonieczny (ACIIDS (1), 2018)

B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. - Daniel Kostrzewa; Lukasz Skonieczny; Pawel Benecki; Michal Kawulok (BDAS, 2018)

Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks. - Jakub Nalepa; Michal Myller; Szymon Piechaczek; Krzysztof Hrynczenko; Michal Kawulok (BDAS, 2018)

Environmental Metagenome Classification for Soil-based Forensic Analysis. - Jolanta Kawulok; Michal Kawulok (BIOINFORMATICS, 2018)

Towards Evolutionary Super-Resolution. - Michal Kawulok; Pawel Benecki; Daniel Kostrzewa; Lukasz Skonieczny (EvoApplications, 2018)

Evolvable Deep Features. - Jakub Nalepa; Grzegorz Mrukwa; Michal Kawulok (EvoApplications, 2018)

Evolving imaging model for super-resolution reconstruction. - Michal Kawulok; Pawel Benecki; Daniel Kostrzewa; Lukasz Skonieczny (GECCO (Companion), 2018)

Genetically-trained deep neural networks. - Krzysztof Pawelczyk; Michal Kawulok; Jakub Nalepa (GECCO (Companion), 2018)

Optimizing Super-resolution Reconstruction using a Genetic Algorithm. - Michal Kawulok; Daniel Kostrzewa; Pawel Benecki; Lukasz Skonieczny (ICAART (2), 2018)

Extracting Biomarkers from Dynamic Images - Approaches and Challenges. - Jakub Nalepa; Michael P. Hayball; Stephen J. Brown; Michal Kawulok; Janusz Szymanek (ICPRAM, 2018)

Automated Optimization of Non-linear Support Vector Machines for Binary Classification. - Wojciech Dudzik; Jakub Nalepa; Michal Kawulok (INCoS, 2018)

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? - Daniel Kostrzewa; Szymon Piechaczek; Krzysztof Hrynczenko; Pawel Benecki; Jakub Nalepa; Michal Kawulok (BDAS, 2019)

On Evolutionary Classification Ensembles. - Aleksandra Kardas; Michal Kawulok; Jakub Nalepa (CEC, 2019)

Memetic Evolution of Classification Ensembles. - Szymon Piechaczek; Michal Kawulok; Jakub Nalepa (EvoApplications, 2019)

Evolutionarily-tuned support vector machines. - Wojciech Dudzik; Michal Kawulok; Jakub Nalepa (GECCO (Companion), 2019)

Data Augmentation via Image Registration. - Jakub Nalepa; Marcin Cwiek; Wojciech Dudzik; Michal Kawulok; Michael P. Hayball; Grzegorz Mrukwa; Szymon Piechaczek; Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Barbara Bobek-Billewicz; Pawel Wawrzyniak; Pawel Ulrych; et al. (ICIP, 2019)

Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm. - Wojciech Dudzik; Michal Kawulok; Jakub Nalepa (ICMMI, 2019)

On Training Deep Networks for Satellite Image Super-Resolution. - Michal Kawulok; Szymon Piechaczek; Krzysztof Hrynczenko; Pawel Benecki; Daniel Kostrzewa; Jakub Nalepa (IGARSS, 2019)

Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. - Michal Marcinkiewicz; Michal Kawulok; Jakub Nalepa (IGARSS, 2019)

Selecting training sets for support vector machines: a review. - Jakub Nalepa; Michal Kawulok (Artif. Intell. Rev., 2019)

Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks. - Pablo Ribalta Lorenzo; Jakub Nalepa; Barbara Bobek-Billewicz; Pawel Wawrzyniak; Grzegorz Mrukwa; Michal Kawulok; Pawel Ulrych; Michael P. Hayball (Comput. Methods Programs Biomed., 2019)

Hyperspectral Data Augmentation. - Jakub Nalepa; Michal Myller; Michal Kawulok (CoRR, 2019)

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. - Jakub Nalepa; Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Barbara Bobek-Billewicz; Pawel Wawrzyniak; Maksym Walczak; Michal Kawulok; Wojciech Dudzik; Grzegorz Mrukwa; Pawel Ulrych; Michael P. Hayball (CoRR, 2019)

Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. - Jakub Nalepa; Lukasz Tulczyjew; Michal Myller; Michal Kawulok (CoRR, 2019)

Data Augmentation for Brain-Tumor Segmentation: A Review. - Jakub Nalepa; Michal Marcinkiewicz; Michal Kawulok (Frontiers Comput. Neurosci., 2019)

Validating Hyperspectral Image Segmentation. - Jakub Nalepa; Michal Myller; Michal Kawulok (IEEE Geosci. Remote. Sens. Lett., 2019)

Metagenomic Clustering in Search of Common Origin. - Jolanta Kawulok; Michal Kawulok (BIOINFORMATICS, 2020)

Lightweight U-Nets for Brain Tumor Segmentation. - Tomasz Tarasiewicz; Michal Kawulok; Jakub Nalepa (BrainLes@MICCAI (2), 2020)

Skinny: A Lightweight U-Net For Skin Detection And Segmentation. - Tomasz Tarasiewicz; Jakub Nalepa; Michal Kawulok (ICIP, 2020)

Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines. - Jakub Nalepa; Wojciech Dudzik; Michal Kawulok (ICPR, 2020)

Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. - Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa (IGARSS, 2020)

Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. - Jakub Nalepa; Lukasz Tulczyjew; Michal Myller; Michal Kawulok (IGARSS, 2020)

Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. - Michal Myller; Michal Kawulok; Jakub Nalepa (S+SSPR, 2020)

Multiple-Image Super-Resolution Using Deep Learning and Statistical Features. - Jakub Nalepa; Krzysztof Hrynczenko; Michal Kawulok (S+SSPR, 2020)

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. - Jakub Nalepa; Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Barbara Bobek-Billewicz; Pawel Wawrzyniak; Maksym Walczak; Michal Kawulok; Wojciech Dudzik; Krzysztof Kotowski; Izabela Burda; Bartosz Machura; Grzegorz Mrukwa; et al. (Artif. Intell. Medicine, 2020)

Deep Learning for Multiple-Image Super-Resolution. - Michal Kawulok; Pawel Benecki; Szymon Piechaczek; Krzysztof Hrynczenko; Daniel Kostrzewa; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2020)

Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. - Jakub Nalepa; Michal Myller; Michal Kawulok (IEEE Geosci. Remote. Sens. Lett., 2020)

Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. - Jakub Nalepa; Michal Myller; Michal Kawulok (IEEE Geosci. Remote. Sens. Lett., 2020)

A Graph Neural Network For Multiple-Image Super-Resolution. - Tomasz Tarasiewicz; Jakub Nalepa; Michal Kawulok (ICIP, 2021)

Towards Robust Cloud Detection in Satellite Images Using U-Nets. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Jakub Nalepa (IGARSS, 2021)

Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. - Michal Kawulok; Tomasz Tarasiewicz; Jakub Nalepa; Diana Tyrna; Daniel Kostrzewa (IGARSS, 2021)

Evolving data-adaptive support vector machines for binary classification. - Wojciech Dudzik; Jakub Nalepa; Michal Kawulok (Knowl. Based Syst., 2021)

Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images. - Lukasz Tulczyjew; Michal Kawulok; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2021)

Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. - Jakub Nalepa; Michal Myller; Marcin Cwiek; Lukasz Zak; Tomasz Lakota; Lukasz Tulczyjew; Michal Kawulok (Remote. Sens., 2021)

Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. - Jakub Nalepa; Michal Myller; Lukasz Tulczyjew; Michal Kawulok (Remote. Sens., 2021)

Toward Understanding the Impact of Input Data for Multi-Image Super-Resolution. - Jakub Adler; Jolanta Kawulok; Michal Kawulok (ACIIDS (2), 2022)

Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images. - Jakub Nalepa; Piotr Bosowski; Wojciech Dudzik; Michal Kawulok (ACIIDS (Companion), 2022)

Cascades of evolutionary support vector machines. - Wojciech Dudzik; Jakub Nalepa; Michal Kawulok (GECCO Companion, 2022)

A genetic algorithm for classifying metagenomic data. - Jolanta Kawulok; Michal Kawulok (GECCO Companion, 2022)

Evolutionary algorithms meet classical and deep machine learning for skin detection in color images. - Jakub Nalepa; Stanislaw Czembor; Wojciech Dudzik; Michal Kawulok (GECCO Companion, 2022)

Particle Swarm Optimization Configures the Route Minimization Algorithm. - Tomasz Jastrzab; Michal Myller; Lukasz Tulczyjew; Miroslaw Blocho; Wojciech Ryczko; Michal Kawulok; Jakub Nalepa (ICCS (1), 2022)

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. - Jakub Nalepa; Bertrand Le Saux; Nicolas Longépé; Lukasz Tulczyjew; Michal Myller; Michal Kawulok; Krzysztof Smykala; Michal Gumiela (ICIP, 2022)

Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Marcin Cwiek; Tomasz Lakota; Nicolas Longépé; Jakub Nalepa (IGARSS, 2022)

Semi-Simulated Training Data for Multi-Image Super-Resolution. - Tomasz Tarasiewicz; Jakub Nalepa; Michal Kawulok (IGARSS, 2022)

Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. - Tomasz Tarasiewicz; Lukasz Tulczyjew; Michal Myller; Michal Kawulok; Nicolas Longépé; Jakub Nalepa (IGARSS, 2022)

Data Augmentation for Multi-Image Super-Resolution. - Maciej Ziaja; Jakub Nalepa; Michal Kawulok (IGARSS, 2022)

MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution. - Pawel Kowaleczko; Tomasz Tarasiewicz; Maciej Ziaja; Daniel Kostrzewa; Jakub Nalepa; Przemyslaw Rokita; Michal Kawulok (CoRR, 2022)

Self-Configuring nnU-Nets Detect Clouds in Satellite Images. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (CoRR, 2022)

Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. - Lukasz Tulczyjew; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2022)

A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. - Lukasz Tulczyjew; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2022)

Graph-Based Representation for Multi-image Super-Resolution. - Tomasz Tarasiewicz; Michal Kawulok (GbRPR, 2023)

Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. - Jakub Sadel; Michal Kawulok; Mateusz Przeliorz; Jakub Nalepa; Daniel Kostrzewa (GECCO Companion, 2023)

Perceptual Loss for Training Multi-Image Super-Resolution. - Pawel Benecki; Daniel Kostrzewa; Michal Kawulok (IGARSS, 2023)

A Sequential Approach for On-board Rock Detection from Lunar Images. - Piotr Bosowski; Jakub Sadel; Marcin Cwiek; Tomasz Strzalka; Marek Wiejak; Pawel Benecki; Michal Kawulok (IGARSS, 2023)

Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. - Michal Kawulok; Pawel Kowaleczko; Maciej Ziaja; Jakub Nalepa; Daniel Kostrzewa; Daniele Latini; Davide De Santis; Giorgia Salvucci; Ilaria Petracca; Valeria La Pegna; Zoltan Bartalis; Fabio Del Frate (IGARSS, 2023)

Unbiased Validation of Hyperspectral Unmixing Algorithms. - Lukasz Tulczyjew; Michal Kawulok; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2023)

Cognition: Distributed Data Processing System for Lunar Activities. - Krzysztof Walas; Marcin Cwiek; Tomasz Strzalka; Marek Wiejak; Piotr Bosowski; Michal Kawulok; Mateusz Przeliorz; Dominik Pieczynski; Bartosz Ptak; Krzysztof Stezala; Michal Bidzinski; Marek Kraft (IGARSS, 2023)

Hyperspectral Image Pansharpening: The Prisma Case Study. - Maciej Ziaja; Pawel Kowaleczko; Jakub Nalepa; Daniel Kostrzewa; Daniele Latini; Davide De Santis; Giorgia Salvucci; Ilaria Petracca; Valeria La Pegna; Fabio Del Frate; Michal Kawulok (IGARSS, 2023)

Transformer-based spectro-temporal fusion for Sentinel-2 super-resolution. - Bartlomiej Pogodzinski; Tomasz Tarasiewicz; Michal Kawulok (IWSSIP, 2023)

Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Piotr Bosowski; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (CoRR, 2023)

Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images. - Tomasz Tarasiewicz; Jakub Nalepa; Reuben A. Farrugia; Gianluca Valentino; Mang Chen; Johann A. Briffa; Michal Kawulok (IEEE Trans. Geosci. Remote. Sens., 2023)

Task-driven single-image super-resolution reconstruction of document scan. - Maciej Zyrek; Michal Kawulok (FedCSIS, 2024)

Ensembling Convolutional Neural Networks for Human Skin Segmentation. - Patryk Kuban; Michal Kawulok (IBERAMIA, 2024)

Multi-Image Fusion for Super-Resolving Individual Sentinel-2 Images. - Bartlomiej Pogodzinski; Tomasz Tarasiewicz; Michal Kawulok (IGARSS, 2024)

Toward Task-Driven Satellite Image Super-Resolution. - Maciej Ziaja; Pawel Kowaleczko; Daniel Kostrzewa; Nicolas Longépé; Michal Kawulok (IGARSS, 2024)

Standardized validation of vehicle routing algorithms. - Tomasz Jastrzab; Michal Myller; Lukasz Tulczyjew; Miroslaw Blocho; Michal Kawulok; Adam Czornik; Jakub Nalepa (Appl. Intell., 2024)

Task-driven single-image super-resolution reconstruction of document scans. - Maciej Zyrek; Michal Kawulok (CoRR, 2024)

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. - Bartosz Grabowski; Maciej Ziaja; Michal Kawulok; Piotr Bosowski; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (Eng. Appl. Artif. Intell., 2024)

Ensembles of evolutionarily-constructed support vector machine cascades. - Wojciech Dudzik; Jakub Nalepa; Michal Kawulok (Knowl. Based Syst., 2024)

Hyperspectral Image Super-Resolution: Task-Based Evaluation. - Michal Kawulok; Pawel Kowaleczko; Maciej Ziaja; Jakub Nalepa; Daniel Kostrzewa; Daniele Latini; Davide De Santis; Giorgia Salvucci; Ilaria Petracca; Valeria La Pegna; Zoltan Bartalis; Fabio Del Frate (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A graph attention network for real-world multi-image super-resolution. - Tomasz Tarasiewicz; Michal Kawulok (Inf. Fusion, 2025)

A graph neural network for heterogeneous multi-image super-resolution. - Tomasz Tarasiewicz; Michal Kawulok (Pattern Recognit. Lett., 2025)

Hyperspectral Pansharpening Enhanced With Multi-Image Super-Resolution for PRISMA Data. - Maciej Ziaja; Pawel Kowaleczko; Tomasz Tarasiewicz; Daniel Kostrzewa; Michal Kawulok (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Coupling deep and handcrafted features to assess smile genuineness. - Benedykt Pawlus; Bogdan Smolka; Jolanta Kawulok; Michal Kawulok (CoRR, 2025)

Task-driven real-world super-resolution of document scans. - Maciej Zyrek; Tomasz Tarasiewicz; Jakub Sadel; Aleksandra Krzywon; Michal Kawulok (CoRR, 2025)