Meno a priezvisko:
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Ing. Viktor Kocur, PhD.
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Typ dokumentu:
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Vedecko/umelecko-pedagogická charakteristika osoby
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Názov vysokej školy:
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Univerzita Komenského v Bratislave
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Sídlo vysokej školy:
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Šafárikovo námestie 6, 818 06 Bratislava
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III.a - Zamestnanie-pracovné zaradenie | III.b - Inštitúcia | III.c - Časové vymedzenie |
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Odborný asistent | FMFI, Komenského Univerzita v Bratislave | 2021 - * |
Technický hosp. pracovník | FIT, VUT v Brne | 2021 - 2023 |
IV.a - Popis aktivity, názov kurzu (ak išlo o kurz), iné | IV.b - Názov inštitúcie | IV.c - Rok |
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Angličtina | Bishop Fenwick High School, Franklin, Ohio, USA | 2009-2010 |
Nemčina - DSD II | Gymnázium Jána Papánka, Bratislava, Slovensko | 2012 |
Ruština | FJFI, ČVUT v Prahe | 2013-2014 |
V.5.a - Názov predmetu | V.5.b - Študijný program | V.5.c - Stupeň | V.5.d - Študijný odbor |
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Hlboké Učenie pre Počítačové Videnie | mAIN | II. | Informatika |
3D Videnie | mAIN | II. | Informatika |
Pokročilé Spracovanie Obrazu | mAIN | II. | Informatika |
Kocur, V. and Ftáčnik, M., 2020. Detection of 3D bounding boxes of vehicles using perspective transformation for accurate speed measurement. Machine Vision and Applications, 31(7), pp.1-15.
Kocur, V., Hegrová, V., Patočka, M., Neuman, J. and Herout, A., 2023. Correction of AFM data artifacts using a convolutional neural network trained with synthetically generated data. Ultramicroscopy, 246, p.113666.
Kocur, V. and Ftáčnik, M., 2021. Multi-Class Multi-Movement Vehicle Counting Based on CenterTrack. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4009-4015).
Kocur, V. and Ftáčnik, M., 2021. Traffic Camera Calibration via Vehicle Vanishing Point Detection. In Proceedings of the International Conference on Artificial Neural Networks (Vol. 1, pp. 628-639)
Gajdošech L., et al., 2022, Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 545-552)
Kocur, V. and Ftáčnik, M., 2020. Detection of 3D bounding boxes of vehicles using perspective transformation for accurate speed measurement. Machine Vision and Applications, 31(7), pp.1-15.
Kocur, V., Hegrová, V., Patočka, M., Neuman, J. and Herout, A., 2023. Correction of AFM data artifacts using a convolutional neural network trained with synthetically generated data. Ultramicroscopy, 246, p.113666.
Kocur, V. and Ftáčnik, M., 2021. Traffic Camera Calibration via Vehicle Vanishing Point Detection. In Proceedings of the International Conference on Artificial Neural Networks (Vol. 1, pp. 628-639)
Kocur, V. and Ftáčnik, M., 2021. Multi-Class Multi-Movement Vehicle Counting Based on CenterTrack. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4009-4015).
Gajdošech L., et al., 2022, Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 545-552)
Tang, P., et al., 2021. Image dataset creation and networks improvement method based on CAD model and edge operator for object detection in the manufacturing industry. Machine Vision and Applications, 32(5), pp.1-18.
Chen, J., Wang, Q., Cheng, H.H., Peng, W. and Xu, W., 2022. A review of vision-based traffic semantic understanding in ITSs. IEEE Transactions on Intelligent Transportation Systems, 23(11), pp.19954-19979.
Naphade, M., et al., 2021. The 5th ai city challenge. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 4263-4273).
Heo, J. and Kwon, Y., 2021. 3D Vehicle Trajectory Extraction Using DCNN in an Overlapping Multi-Camera Crossroad Scene. Sensors, 21(23), p.7879.
Zhang, X., Feng, Y., Angeloudis, P. and Demiris, Y., 2022. Monocular visual traffic surveillance: A review. IEEE Transactions on Intelligent Transportation Systems, 23(9), pp.14148-14165.
Viktor Kocur, účasť (od 9/2021) Aktivita B: "Vývoj metod a SW modulů pro korelativní mikroskopii a analýzu obrazu" v rámci projektu TAČR TREND Nová generace integrace mikroskopie atomárních sil a elektronové mikroskopie (GEFSEM) - FW01010183, hlavný riešiteľ NenoVision s.r.o., 2020-2023
Viktor Kocur, účasť na projekte VEGA 1/0798/18: Learning of a robotic system in a human-robot interaction, hlavný riešiteľ Igor Farkaš, 2018-2020
Viktor Kocur, účasť na projekte, koordinátor pracovného balíka 3 - excelentný výskum, TERAIS (Towards Excellent Robotics and Artificial Intelligence at a Slovak university) - Horizon Widera, hlavný riešiteľ Igor Farkaš 2022-2025
Viktor Kocur, účasť na projekte VEGA 1/0373/23: Computational modelling of early development of social skills in human-robot interaction, hlavný riešiteľ Igor Farkaš, 2023-2024