Radoslav Skoviera

Orcid: 0000-0002-9764-4325

According to our database1, Radoslav Skoviera authored at least 14 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MovingCables: Moving Cable Segmentation Method and Dataset.
IEEE Robotics Autom. Lett., August, 2024

Tell and show: Combining multiple modalities to communicate manipulation tasks to a robot.
CoRR, 2024

2023
Imitrob: Imitation Learning Dataset for Training and Evaluating 6D Object Pose Estimators.
IEEE Robotics Autom. Lett., May, 2023

2022
SurfMan: Generating Smooth End-Effector Trajectories on 3D Object Surfaces for Human-Demonstrated Pattern Sequence.
IEEE Robotics Autom. Lett., 2022

2021
Experimental Comparison between Event and Global Shutter Cameras.
Sensors, 2021

2019
Specifying Dual-Arm Robot Planning Problems Through Natural Language and Demonstration.
IEEE Robotics Autom. Lett., 2019

Teaching robots to imitate a human with no on-teacher sensors. What are the key challenges?
CoRR, 2019

Exploring logical consistency and viewport sensitivity in compositional VQA models.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Advanced Pedestrian Dataset Augmentation for Autonomous Driving.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Estimating pedestrian intentions from trajectory data.
Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019

2018
Object recognition in clutter color images using Hierarchical Temporal Memory combined with salient-region detection.
Neurocomputing, 2018

Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing.
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018

2013
Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network.
Proceedings of the ICPRAM 2013, 2013

2012
Pair-Wise Temporal Pooling Method for Rapid Training of the HTM Networks Used in Computer Vision Applications.
Comput. Informatics, 2012


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