Lukás Gajdosech

According to our database, Lukás Gajdosech authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices.

Damian Harencák, Lukás Gajdosech, Martin Madaras

CoRR, January, 2026

Detecting 3D Line Segments for 6DoF Pose Estimation with Limited Data.

Matej Mok, Lukás Gajdosech, Michal Mesáros, Martin Madaras, Viktor Kocur

Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

Decentralized Privacy-Preserving Federated Learning of Computer Vision Models on Edge Devices.

Damian Harencák, Lukás Gajdosech, Martin Madaras

Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

2025

Pointing-Guided Target Estimation via Transformer-Based Attention:TERAIS Data.

Luca Müller, Hassan Ali, Philipp Allgeuer, Lukás Gajdosech, Stefan Wermter

Dataset, September, 2025

ICANN Code: Pointing-Guided Target Estimation via Transformer-Based Attention.

Luca Müller, Hassan Ali, Philipp Allgeuer, Lukás Gajdosech, Stefan Wermter

Dataset, September, 2025

IROS Data: Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks.

Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter

Dataset, September, 2025

IROS Code: Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks.

Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter

Dataset, September, 2025

Efficient vision-based vehicle speed estimation.

Andrej Macko, Lukás Gajdosech, Viktor Kocur

J. Real Time Image Process., June, 2025

Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks.

Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Pointing-Guided Target Estimation via Transformer-Based Attention.

Luca Müller, Hassan Ali, Philipp Allgeuer, Lukás Gajdosech, Stefan Wermter

Proceedings of the Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions, 2025

2024

On Representation of 3D Rotation in the Context of Deep Learning.

Viktória Pravdová, Lukás Gajdosech, Hassan Ali, Viktor Kocur

CoRR, 2024

Enhancement of 3D Camera Synthetic Training Data with Noise Models.

Katarína Osvaldová, Lukás Gajdosech, Viktor Kocur, Martin Madaras

CoRR, 2024

Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation.

Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Lukás Gajdosech, Stefan Wermter

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

2023

Supersampling of Data from Structured-light Scanner with Deep Learning.

Martin Melichercík, Lukás Gajdosech, Viktor Kocur, Martin Madaras

CoRR, 2023

Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning.

Tomás Kunzo, Viktor Kocur, Lukás Gajdosech, Martin Madaras

CoRR, 2023

Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization.

Lukás Gajdosech, Peter Kravár

CoRR, 2023

Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization.

Peter Kravár, Lukás Gajdosech, Martin Madaras

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scan.

Lukás Gajdosech, Viktor Kocur, Martin Stuchlík, Lukas Hudec, Martin Madaras

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans.

Lukás Gajdosech, Viktor Kocur, Martin Stuchlík, Lukas Hudec, Martin Madaras

CoRR, 2021