Tomáš Karella

  1. Karella Tomáš, Suk Tomáš, Košík Václav, Bedratyuk L., Kerepecký Tomáš, Flusser Jan :  3D Non‑separable Moment Invariants and Their Use in Neural Networks , SN Computer Science vol.5, 1166 [2024] Download DOI: 10.1007/s42979-024-03504-x
  2. Karella Tomáš, Blažek Jan, Striová J. :  Convolutional neural network exploiting pixel surroundings to reveal hidden features in artwork NIR reflectograms , Journal of Cultural Heritage vol.58, p. 186-198 [2022] Download DOI: 10.1016/j.culher.2022.09.022

  1. Karella Tomáš, Šroubek Filip, Blažek Jan, Flusser Jan, Košík Václav :  H-NeXt: The next step towards roto-translation invariant networks , 34th British Machine Vision Conference 2023, p. 1-14, British Machine Vision Conference 2023 /34./, (Aberdeen, GB, 20231120) [2023] Download
  2. Košík Václav, Karella Tomáš, Flusser Jan :  CNN Ensemble Robust to Rotation Using Radon Transform , Proceedings of The 12th International Conference on Image Processing Theory, Tools and Applications (IPTA 2023), 10320086 , International Conference on Image Processing Theory, Tools and Applications (IPTA 2023) /12./, (Paris, FR, 20231016) [2023] Download DOI: 10.1109/IPTA59101.2023.10320086
  3. Flusser Jan, Suk Tomáš, Bedratyuk L., Karella Tomáš :  3D Non-separable Moment Invariants , Computer Analysis of Images and Patterns. CAIP 2023, p. 295-305 , Eds: Tsapatsoulis N., Computer Analysis of Images and Patterns. CAIP 2023, (Limassol, CY, 20230925) [2023] Download DOI: 10.1007/978-3-031-44237-7_28