| 10.01.2020 | Jan Beneš | Realism in Computer Graphics, Procedural Modeling, and Procedural Buildings |
| 13.12.2019 | Tomáš Kerepecký | Joint Demosaicing and Debluring with Ringing Artifact Suppression |
| 29.11.2019 | David Svoboda and Tereza Nečasová | Generation and Validation of Biomedical Image Data |
| 27.11.2019 | Janne Heikkila | Image-Based 3D Sensing for Augmented Reality and Mobile Imaging: New methods for deblurring using deep learning |
| 08.11.2019 | Petr Lukeš | Dálkový průzkum Země na Czechglobe: potenciál hyperspektrálních dat |
| 11.10.2019 | Marek Brabec | Semiparametric regression. GAM, its applications and beyond. |
| 17.05.2019 | Matěj Lébl | Blur invariant template matching using projection onto convex sets |
| 10.05.2019 | Hynek Walner | Automated Machine Learning -- useful approach or another IT snake oil? |
| 03.05.2019 | Mayank Tiwari | Digital Image Enhancement, Restoration and Source Camera Identification in Digital Image Forensics |
| 05.04.2019 | Lukáš Bajer | CMA-ES black box optimization with Gassian Process surrogate models |
| 05.04.2019 | Lukáš Bajer | CMA-ES black box optimization with Gaussian Process surrogate models |
| 29.03.2019 | Zuzana Bílková | GauGAN – Semantic Image Synthesis with GANs |
| 08.03.2019 | Adam Novozámský | Hough transform - from bubbles through straight lines to arbitrary shapes |
| 01.03.2019 | Prof. Mauricio Escarpinati (Universidade Federal de Uberlândia, Brasil) | Remote sensing in precision agriculture: The Federal University of Uberlândia |
| 22.02.2019 | Gabriela Czanner | Statistical spatial modelling in ophthalmic images: learning about associations and toward diagnosis |
| 16.11.2018 | Tomáš Suk | Tensor Method and Graphs |
| 09.11.2018 | Jan Schier | Recent advances in non-local denoising algorithms |
| 15.05.2018 | Janne Heikkilä | 3D computer vision with applications in mobile imaging and perception |
| 20.04.2018 | Jan Horáček | From small intestine to industrial measurement |
| 06.04.2018 | Petra Vidnerová | Adversarial examples - vulnerability of machine learning methods and prevention |
