Lukás Gajdosech

19 papers A 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices.
CoRR
Damian Harencák, Lukás Gajdosech, Martin Madaras
2026 — conf
Decentralized Privacy-Preserving Federated Learning of Computer Vision Models on Edge Devices.
VISAPP (3)
Damian Harencák, Lukás Gajdosech, Martin Madaras
2026 — conf
Detecting 3D Line Segments for 6DoF Pose Estimation with Limited Data.
VISAPP (3)
Matej Mok, Lukás Gajdosech, Michal Mesáros, Martin Madaras, Viktor Kocur
2026 J jnl
Detecting 3D Line Segments for 6DoF Pose Estimation with Limited Data.
CoRR
Matej Mok, Lukás Gajdosech, Michal Mesáros, Martin Madaras, Viktor Kocur
2025 J jnl
Efficient Vision-based Vehicle Speed Estimation.
CoRR
Andrej Macko, Lukás Gajdosech, Viktor Kocur
2025 J jnl
Efficient vision-based vehicle speed estimation.
J. Real Time Image Process.
Andrej Macko, Lukás Gajdosech, Viktor Kocur
2025 — conf
Pointing-Guided Target Estimation via Transformer-Based Attention.
ICANN (5)
Luca Müller, Hassan Ali, Philipp Allgeuer, Lukás Gajdosech, Stefan Wermter
2025 J jnl
Pointing-Guided Target Estimation via Transformer-Based Attention.
CoRR
Luca Müller, Hassan Ali, Philipp Allgeuer, Lukás Gajdosech, Stefan Wermter
2025 A conf
Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks.
IROS
Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter
2025 J jnl
Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks.
CoRR
Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter
2024 J jnl
Enhancement of 3D Camera Synthetic Training Data with Noise Models.
CoRR
Katarína Osvaldová, Lukás Gajdosech, Viktor Kocur, Martin Madaras
2024 J jnl
On Representation of 3D Rotation in the Context of Deep Learning.
CoRR
Viktória Pravdová, Lukás Gajdosech, Hassan Ali, Viktor Kocur
2024 — conf
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation.
Humanoids
Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Lukás Gajdosech, Stefan Wermter
2023 — conf
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization.
ICANN (1)
Peter Kravár, Lukás Gajdosech, Martin Madaras
2023 J jnl
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization.
CoRR
Lukás Gajdosech, Peter Kravár
2023 J jnl
Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning.
CoRR
Tomás Kunzo, Viktor Kocur, Lukás Gajdosech, Martin Madaras
2023 J jnl
Supersampling of Data from Structured-light Scanner with Deep Learning.
CoRR
Martin Melichercík, Lukás Gajdosech, Viktor Kocur, Martin Madaras
2022 — conf
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scan.
VISIGRAPP (4: VISAPP)
Lukás Gajdosech, Viktor Kocur, Martin Stuchlík, Lukas Hudec, Martin Madaras
2021 J jnl
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans.
CoRR
Lukás Gajdosech, Viktor Kocur, Martin Stuchlík, Lukas Hudec, Martin Madaras