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ORCIDRadoslav Skoviera
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2020 – today
- 2024
[j7]Ondrej Holesovský
, Radoslav Skoviera, Václav Hlavác:
MovingCables: Moving Cable Segmentation Method and Dataset. IEEE Robotics Autom. Lett. 9(8): 6991-6998 (2024)- [i3]Petr Vanc, Radoslav Skoviera, Karla Stépánová:
Tell and show: Combining multiple modalities to communicate manipulation tasks to a robot. CoRR abs/2404.01702 (2024) - 2023
- [j6]Jirí Sedlár, Karla Stépánová, Radoslav Skoviera, Jan Kristof Behrens, Matús Tuna, Gabriela Sejnova, Josef Sivic, Robert Babuska:
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators. IEEE Robotics Autom. Lett. 8(5): 2788-2795 (2023) - 2022
- [j5]Radoslav Skoviera, Jan Kristof Behrens, Karla Stépánová:
SurfMan: Generating Smooth End-Effector Trajectories on 3D Object Surfaces for Human-Demonstrated Pattern Sequence. IEEE Robotics Autom. Lett. 7(4): 9183-9190 (2022) - [i2]Jirí Sedlár, Karla Stépánová, Matús Tuna, Radoslav Skoviera, Jan Kristof Behrens, Gabriela Sejnova, Josef Sivic, Robert Babuska:
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators. CoRR abs/2209.07976 (2022) - 2021
- [j4]Ondrej Holesovský, Radoslav Skoviera, Václav Hlavác, Roman Vitek:
Experimental Comparison between Event and Global Shutter Cameras. Sensors 21(4): 1137 (2021)
2010 – 2019
- 2019
- [j3]Jan Kristof Behrens, Karla Stépánová, Ralph Lange, Radoslav Skoviera:
Specifying Dual-Arm Robot Planning Problems Through Natural Language and Demonstration. IEEE Robotics Autom. Lett. 4(3): 2622-2629 (2019) - [c5]Elena Sikudová, Kristína Malinovská, Radoslav Skoviera, Júlia Skovierová, Miroslav Uller, Václav Hlavác:
Estimating pedestrian intentions from trajectory data. ICCP 2019: 19-25 - [c4]Antonín Vobecký, Michal Uricár, David Hurych, Radoslav Skoviera:
Advanced Pedestrian Dataset Augmentation for Autonomous Driving. ICCV Workshops 2019: 2367-2372 - [c3]Gabriela Sejnova, Michal Vavrecka, Michael Tesar, Radoslav Skoviera:
Exploring logical consistency and viewport sensitivity in compositional VQA models. IROS 2019: 2108-2113 - [i1]Radoslav Skoviera, Karla Stépánová, Michael Tesar, Gabriela Sejnova, Jirí Sedlár, Michal Vavrecka, Robert Babuska, Josef Sivic:
Teaching robots to imitate a human with no on-teacher sensors. What are the key challenges? CoRR abs/1901.08335 (2019) - 2018
- [j2]Radoslav Skoviera, Ivan Bajla, Júlia Skovierová:
Object recognition in clutter color images using Hierarchical Temporal Memory combined with salient-region detection. Neurocomputing 307: 172-183 (2018) - [c2]Júlia Skovierová, Antonín Vobecký, Miroslav Uller, Radoslav Skoviera, Václav Hlavác:
Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing. VEHITS 2018: 341-348 - 2013
- [c1]Radoslav Skoviera, Kristián Valentín, Svorad Stolc, Ivan Bajla:
Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network. ICPRAM 2013: 511-517 - 2012
- [j1]Svorad Stolc, Ivan Bajla, Kristián Valentín, Radoslav Skoviera:
Pair-Wise Temporal Pooling Method for Rapid Training of the HTM Networks Used in Computer Vision Applications. Comput. Informatics 31(4): 901- (2012)
Coauthor Index
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