Ondřej Holešovský

Ondřej Holešovský is a Ph.D. student of Artificial Intelligence and Biocybernetics at the Czech Technical University in Prague (CTU) working under supervision of Prof. Václav Hlaváč. Ondřej’s research focuses on interactive perception for industrial robotic manipulators.

Ondřej obtained his bachelor degree in Cybernetics and Robotics from CTU in 2015. He acquired his master degree in the Systems, Control and Robotics study programme at KTH Royal Institute of Technology in Stockholm, Sweden in 2017.

He has been employed in the Robotics for Industry 4.0 project since October 2017.



Experimental Comparison between Event and Global Shutter Cameras.
Holešovský, O., Škoviera, R., Hlaváč, V., Vítek, R. (2021).
Sensors (Basel, Switzerland), 21. DOI, PDF, Dataset

Practical high-speed motion sensing: event cameras vs. global shutter.
Holešovský, O., Hlaváč, V., Škoviera, R., Vítek, R. (2020).
Proceedings of the Computer Vision Winter Workshop 2020, Rogaška Slatina, Slovenia, 3–5 February 2020. PDF

Compact ConvNets with Ternary Weights and Binary Activations.
Holešovský, O., Maki, A. (2018).
Proceedings of the Computer Vision Winter Workshop 2018, Český Krumlov, Czech Republic, 5–7 February 2018. PDF

Compact convnets with ternary weights and binary activations.
Holešovský, O. (2017).
Master’s thesis, KTH, Stockholm, Sweden. PDF

Face Descriptor Learned by Convolutional Neural Networks.
Holešovský, O. (2015).
Bachelor thesis, CTU, Prague, Czech Republic. PDF