I. - Basic information

I.1 - Surname

Kocur

I.2 - Name

Viktor

I.3 - Degrees

Ing. PhD.

I.4 - Year of birth

1994

I.5 - Name of the workplace

Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava

I.6 - Address of the workplace

Mlynská dolina F1 842 48 Bratislava

I.7 - Position

assistant professor

I.8 - E-mail address

viktor.kocur@fmph.uniba.sk

I.9 - Hyperlink to the entry of a person in the Register of university staff

https://www.portalvs.sk/regzam/detail/34354

I.10 - Name of the study field in which a person works at the university

Computer Science

I.11 - ORCID iD

0000-0001-8752-2685

II. - Higher education and further qualification growth

II.1 - First degree of higher education

II.a - Name of the university or institution

FNSPE, CTU in Prague

II.b - Year

2015

II.c - Study field and programme

Computational Physics

II.2 - Second degree of higher education

II.a - Name of the university or institution

FNSPE, CTU in Prague

II.b - Year

2017

II.c - Study field and programme

Computational physics

II.3 - Third degree of higher education

II.a - Name of the university or institution

FMPH, Comenius University in Bratislava

II.b - Year

2021

II.c - Study field and programme

Computer Science

II.4 - Associate professor

II.5 - Professor

II.6 - Doctor of Science (DrSc.)

III. - Current and previous employment

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. - Development of pedagogical, professional, language, digital and other skills

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. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes

V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year

V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year

V.4 - Overview of supervised final theses

V.4.1 - Number of currently supervised theses

V.4.a - Bachelor's (first degree)

V.4.b - Diploma (second degree)

V.4.c - Dissertation (third degree)

V.4.2 - Number of defended theses

V.4.a - Bachelor's (first degree)

V.4.b - Diploma (second degree)

V.4.c - Dissertation (third degree)

V.5 - Overview of other courses taught in the current academic year according to study programmes

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

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations

VI.1.1 - Number of the research/artistic/other outputs

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.3 - Number of citations corresponding to the research/artistic/other outputs

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.4 - Number of citations registered in the Web of Science or Scopus databases

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.5 - Number of invited lectures at the international, national level

VI.2 - The most significant research/artistic/other outputs

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)

VI.3 - The most significant research/artistic/other outputs over the last six years

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. 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)

VI.4 - The most significant citations corresponding to the research/artistic/other outputs

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.

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years

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

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

IX. - Other relevant facts

Date of last update

2024-04-30

Name and surname:	Ing. Viktor Kocur, PhD.
Document type:	Research/art/teacher profile of a person
The name of the university:	Comenius University Bratislava
The seat of the university:	Šafárikovo námestie 6, 818 06 Bratislava