| Deep learning for multiple-image super-resolution M Kawulok, P Benecki, S Piechaczek, K Hrynczenko, D Kostrzewa, ... IEEE Geoscience and Remote Sensing Letters 17 (6), 1062-1066, 2019 | 96 | 2019 |
| On training deep networks for satellite image super-resolution M Kawulok, S Piechaczek, K Hrynczenko, P Benecki, D Kostrzewa, ... IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 17 | 2019 |
| Deep learning for fast super-resolution reconstruction from multiple images M Kawulok, P Benecki, K Hrynczenko, D Kostrzewa, S Piechaczek, ... Real-Time Image Processing and Deep Learning 2019 10996, 44-51, 2019 | 10 | 2019 |
| Genetic selection of training sets for (not only) artificial neural networks J Nalepa, M Myller, S Piechaczek, K Hrynczenko, M Kawulok Beyond Databases, Architectures and Structures. Facing the Challenges of …, 2018 | 4 | 2018 |
| Multi-scale voting classifiers for breast-cancer histology images J Nalepa, S Piechaczek, M Myller, K Hrynczenko Advances in Intelligent Networking and Collaborative Systems: The 10th …, 2019 | 3 | 2019 |
| Multiple-Image Super-Resolution Using Deep Learning and Statistical Features J Nalepa, K Hrynczenko, M Kawulok Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2021 | | 2021 |
| Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? D Kostrzewa, S Piechaczek, K Hrynczenko, P Benecki, J Nalepa, ... International Conference: Beyond Databases, Architectures and Structures …, 2019 | | 2019 |
| Том. 10996. Real-Time Image Processing and Deep Learning 2019.-Сер. Real-Time Image Processing and Deep Learning 2019 R Ravela, M Shirvaikar, C Grecos, K Radlak, B Smolka, L Malinski, ... | | 2019 |
