Radoslav Škoviera
Radoslav Škoviera
Research Fellow, Czech Institute of Informatics, Robotics, and Cybernetics
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Cited by
Cited by
Specifying dual-arm robot planning problems through natural language and demonstration
JK Behrens, K Stepanova, R Lange, R Skoviera
IEEE Robotics and Automation Letters 4 (3), 2622-2629, 2019
Advanced pedestrian dataset augmentation for autonomous driving
A Vobecky, M Uricár, D Hurych, R Skoviera
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Experimental Comparison between Event and Global Shutter Cameras
O Holešovský, R Škoviera, V Hlaváč, R Vítek
Sensors 21 (4), 1137, 2021
Image classification based on hierarchical temporal memory and color features
R Škoviera, I Bajla
Slovak Academy of Sciences, MEASUREMENT, 2013
Teaching robots to imitate a human with no on-teacher sensors. what are the key challenges?
R Skoviera, K Stepanova, M Tesar, G Sejnova, J Sedlar, M Vavrecka, ...
arXiv preprint arXiv:1901.08335, 2019
Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing.
J Skovierová, A Vobecký, M Uller, R Skoviera, V Hlavác
VEHITS, 341-348, 2018
Estimating pedestrian intentions from trajectory data
E Šikudová, K Malinovská, R Škoviera, J Škovierová, M Uller, V Hlaváć
2019 IEEE 15th international conference on intelligent computer …, 2019
Object recognition in clutter color images using Hierarchical Temporal Memory combined with salient-region detection
R Škoviera, I Bajla, J Škovierová
Neurocomputing 307, 172-183, 2018
Pair-wise temporal pooling method for rapid training of the htm networks used in computer vision applications
S Štolc, I Bajla, K Valentín, R Škoviera
Computing and Informatics 31 (4), 901-919, 2012
Practical high-speed motion sensing: Event cameras vs. global shutter
O Holešovský, V Hlavác, R Škoviera, R Vitek
Proceedings of the Computer Vision Winter Workshop, 2020
Automatic Optical Inspection of Printed Circuit Boards
BO Kunte
Czech Technical University in Prague, Faculty of Electrical Engineering …, 2018
Exploring logical consistency and viewport sensitivity in compositional VQA models
G Sejnova, M Vavrecka, M Tesar, R Skoviera
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
An alternative of the sliding window approach in time series clustering of intracranial pressure for patients with traumatic brain injury
I Bajla, R Škoviera, M Teplan
2017 11th International Conference on Measurement, 47-50, 2017
Spectral and Complexity Characteristics of Sleep EEG Following Ischemic Stroke
R Škoviera, Z Rošťáková, A Krakovská, R Rosipal
REM 12, 10.44, 2014
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
J Sedlar, K Stepanova, M Tuna, R Skoviera, JK Behrens, G Sejnova, ...
arXiv preprint arXiv:2209.07976, 2022
SurfMan: Generating Smooth End-Effector Trajectories on 3D Object Surfaces for Human-Demonstrated Pattern Sequence
R Škoviera, JK Behrens, K Štěpánová
IEEE Robotics and Automation Letters 7 (4), 9183-9190, 2022
Near a Zebra Crossing
J Škovierová, A Vobecký, M Uller, R Škoviera, V Hlaváč
Spectral, complexity and interdependence measures of sleep EEG after ischemic stroke
A Krakovská, R Škoviera, R Rosipal
2017 11th International Conference on Measurement, 245-249, 2017
Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network.
R Skoviera, K Valentín, S Stolc, I Bajla
ICPRAM, 511-517, 2013
Supplementary material Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators
J Sedlar, K Stepanova, M Tuna, R Skoviera, J Behrens, G Sejnova, J Sivic, ...
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