Ústav teorie informace a automatizace

Jste zde

Bibliografie

GA21-03921S

  1. Flusser Jan, Lébl Matěj, Šroubek Filip, Pedone M., Kostková JitkaBlur Invariants for Image Recognition , International Journal of Computer Vision vol.131, 9 (2023), p. 2298-2315 [2023] Download Download DOI: 10.1007/s11263-023-01798-7
  2. Flusser Jan, Suk Tomáš, Zitová BarbaraComplete and Incomplete Sets of Invariants , Journal of Mathematical Imaging and Vision vol.63, 1 (2021), p. 917-922 [2021] Download Download DOI: 10.1007/s10851-021-01039-x

  1. Šroubek FilipInverse Problems in Image Processing , Abstracts of the 11th International Conference Inverse Problems: Modeling and Simulation, p. 135-135, The 11th International Conference Inverse Problems: Modeling and Simulation, (Paradise Bay Resort Hotel, Malta, MT, 20240526) [2024] Download
  2. Flusser JanVisual Object Recognition - Traditional Methods Along with Deep Learning Approaches , 14th Conference of Data Analysis Methods for Software Systems (DAMSS23), p. 23-23 , Eds: Bernatavičienė Jolita, Conference on DATA ANALYSIS METHODS for Software Systems 2023 /14./, (Druskininkai, LT, 20231130) [2023] Download
  3. Karella Tomáš, Šroubek Filip, Blažek Jan, Flusser Jan, Košík VáclavH-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
  4. Košík Václav, Karella Tomáš, Flusser JanCNN 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
  5. Lébl Matěj, Flusser JanInvariant Convolutional Networks , Proceedings of The 12th International Conference on Image Processing Theory, Tools and Applications (IPTA 2023), 10319998 , International Conference on Image Processing Theory, Tools and Applications (IPTA 2023) /12./, (Paris, FR, 20231016) [2023] Download DOI: 10.1109/IPTA59101.2023.10319998
  6. Flusser Jan, Suk Tomáš, Bedratyuk L., Karella Tomáš3D 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
  7. Kerepecký Tomáš, Šroubek Filip, Novozámský Adam, Flusser JanNeRD: Neural field-based Demosaicking , Proceedings of the 2023 IEEE International Conference on Image Processing (ICIP), p. 1735-1739, IEEE International Conference on Image Processing 2023 (ICIP 2023), (Kuala Lumpur, MY, 20231008) [2023] Download DOI: 10.1109/ICIP49359.2023.10221948
  8. Staněk R., Kerepecký Tomáš, Novozámský Adam, Šroubek Filip, Zitová Barbara, Flusser JanReal-Time Wheel Detection and Rim Classification in Automotive Production , Proceedings of the 2023 IEEE International Conference on Image Processing (ICIP), p. 1410-1414, IEEE International Conference on Image Processing 2023 (ICIP 2023), (Kuala Lumpur, MY, 20231008) [2023] Download DOI: 10.1109/ICIP49359.2023.10223161
  9. Kerepecký Tomáš, Liu J., Ng X. W., Piston D. W., Kamilov U. S.Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN , Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, (Rhodes Island, Greece 2023) , IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2023 /48./, (Rhodes, GR, 20230604) [2023] Download DOI: 10.1109/ICASSP49357.2023.10095386
  10. Flusser Jan, Suk Tomáš, Lébl Matěj, Bujack R., Ibrahim I.Affine Moment Invariants of Tensor Fields , Image Analysis: 23rd Scandinavian Conference, SCIA 2023, p. 299-313 , Eds: Gade R., Scandinavian Conference on Image Analysis 2023 /23./, (Levi, FI, 20230418) [2023] Download DOI: 10.1007/978-3-031-31435-3_20
  11. Lébl Matěj, Šroubek Filip, Flusser JanImpact of Image Blur on Classification and Augmentation of Deep Convolutional Networks , Image Analysis: 23rd Scandinavian Conference, SCIA 2023, p. 108-117 , Eds: Gade R., Scandinavian Conference on Image Analysis 2023 /23./, (Levi, FI, 20230418) [2023] Download DOI: 10.1007/978-3-031-31438-4_8
  12. Flusser Jan, Šroubek Filip, Kamenický Jan, Zitová BarbaraVideo Superresolution in Real Forensic Cases , Proceedings of the 11th International Workshop on Biometrics and Forensics - IWBF2023, International Workshop on Biometrics and Forensics 2023 - IWBF2023 /11./, (Barcelona, ES, 20230419) [2023] Download
  13. Zita Aleš, Greško Šimon, Novozámský Adam, Šorel Michal, Zitová Barbara, Švec J. G., Vydrová J.Automatic Estimation of Mucosal Waves Lateral Peak Sharpness – Modern Approach , IS&T International Symposium on Electronic Imaging 2023 Image Processing: Algorithms and Systems XXI, 300 , IS&T International Symposium on Electronic Imaging 2023, (San Francisco, US, 20230115) [2023] Download DOI: 10.2352/EI.2023.35.9.IPAS-300
  14. Rozumnyi D., Matas J., Šroubek Filip, Pollefeys M., Oswald M.R.FMODetect: Robust Detection of Fast Moving Objects , Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), p. 3541-3549, International Conference on Computer Vision (ICCV) 2021, (Piscataway (on-line), US, 20211011) [2021] Download DOI: 10.1109/ICCV48922.2021.00352
07.01.2019 - 08:39