Publications - Tomáš Karella


Journal articles (1)

1. * Tomáš Karella, Jan Blažek, J. Striová: Convolutional neural network exploiting pixel surroundings to reveal hidden features in artwork NIR reflectograms. Journal of Cultural Heritage 58, 186-198. Elsevier.   Download

Conference papers (3)

1. * Tomáš Karella, Filip Šroubek, Jan Blažek, Jan Flusser, Václav Košík: H-NeXt: The next step towards roto-translation invariant networks. 34th British Machine Vision Conference 2023, 1-14. BMVA, Aberdeen 2023.   Download
2. * Václav Košík, Tomáš Karella, Jan Flusser: CNN Ensemble Robust to Rotation Using Radon Transform. Proceedings of The 12th International Conference on Image Processing Theory, Tools and Applications (IPTA 2023). IEEE, Piscataway 2023.   Download
3. * Jan Flusser, Tomáš Suk, L. Bedratyuk, Tomáš Karella: 3D Non-separable Moment Invariants. Computer Analysis of Images and Patterns. CAIP 2023, 295-305. Springer, Cham 2023.   Download