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Name and surname:
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Ing. Viktor Kocur, PhD.
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Document type:
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Research/art/teacher profile of a person
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The name of the university:
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Comenius University Bratislava
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The seat of the university:
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Šafárikovo námestie 6, 818 06 Bratislava
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| III.a - Occupation-position | III.b - Institution | III.c - Duration |
|---|---|---|
| Assistant professor | FMPH, Comenius University in Bratislava | 2021 - * |
| Technical administrative officer | FIT, Brno University of Technology | 2021 - 2023 |
| IV.a - Activity description, course name, other | IV.b - Name of the institution | IV.c - Year |
|---|---|---|
| English | Bishop Fenwick High School, Franklin, Ohio, USA | 2009-2010 |
| German - DSD II | Gymnázium Jána Papánka, Bratislava, Slovakia | 2012 |
| Russian | FNSPE, CTU in Prague | 2013-2014 |
| V.5.a - Name of the course | V.5.b - Study programme | V.5.c - Degree | V.5.d - Field of study |
|---|---|---|---|
| Deep Learning for Computer Vision | mAIN | II. | Computer Science |
| 3D Vision | mAIN | II. | Computer Science |
| Advanced Image Processing | mAIN | II. | Computer Science |
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., Tzamos, C., Ding, Y., Haladova, Z.B., Sattler, T. and Kukelova, Z., 2026. Are Minimal Radial Distortion Solvers Really Necessary for Relative Pose Estimation?. International Journal of Computer Vision, 134(2), p.48.
Macko, A., Gajdošech, L. and Kocur, V., 2025. Efficient vision-based vehicle speed estimation. Journal of Real-Time Image Processing, 22(3), p.123.
Ding, Y., Kocur, V., Vávra, V., Haladová, Z.B., Yang, J., Sattler, T. and Kukelova, Z., 2025. RePoseD: Efficient Relative Pose Estimation With Known Depth Information. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 14876-14886).
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., Tzamos, C., Ding, Y., Haladova, Z.B., Sattler, T. and Kukelova, Z., 2026. Are Minimal Radial Distortion Solvers Really Necessary for Relative Pose Estimation?. International Journal of Computer Vision, 134(2), p.48.
Macko, A., Gajdošech, L. and Kocur, V., 2025. Efficient vision-based vehicle speed estimation. Journal of Real-Time Image Processing, 22(3), p.123.
Ding, Y., Kocur, V., Vávra, V., Haladová, Z.B., Yang, J., Sattler, T. and Kukelova, Z., 2025. RePoseD: Efficient Relative Pose Estimation With Known Depth Information. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 14876-14886).
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, participation (since 9/2021) Activity B: "Development of methods and SW modules for correlative microscopy and image analysis" within project TAČR TREND Next Generation of Integrated Atomic Force and Scanning Electron Microscopy (GEFSEM) - FW01010183, principal investigator NenoVision s.r.o., 2020-2023.
Viktor Kocur, participation in project VEGA 1/0798/18: Learning of a robotic system in a human-robot interaction, principal investigator Igor Farkaš, 2018-2020
Viktor Kocur, participation in project, coordinator of work package 3 - scientific excellence, TERAIS (Towards Excellent Robotics and Artificial Intelligence at a Slovak university) - Horizon Widera, principal investigator Igor Farkaš 2022-2025
Viktor Kocur, project participant, VEGA 1/0373/23: Computational modelling of early development of social skills in human-robot interaction, principal investigator Igor Farkaš, 2023-2024
Viktor Kocur, principal investigator for CU, InnovAIte, transformation and innovation consortia, recovery and resilience plan 2025-2027