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2020 – today
- 2024
[c3]Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Lukás Gajdosech, Stefan Wermter:
Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation. Humanoids 2024: 811-818- [i6]Katarína Osvaldová, Lukás Gajdosech, Viktor Kocur, Martin Madaras:
Enhancement of 3D Camera Synthetic Training Data with Noise Models. CoRR abs/2402.16514 (2024) - [i5]Viktória Pravdová, Lukás Gajdosech, Hassan Ali, Viktor Kocur:
On Representation of 3D Rotation in the Context of Deep Learning. CoRR abs/2410.10350 (2024) - 2023
- [c2]Peter Kravár
, Lukás Gajdosech, Martin Madaras:
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization. ICANN (1) 2023: 565-569 - [i4]Lukás Gajdosech, Peter Kravár:
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization. CoRR abs/2305.05215 (2023) - [i3]Tomás Kunzo, Viktor Kocur, Lukás Gajdosech, Martin Madaras:
Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning. CoRR abs/2311.07398 (2023) - [i2]Martin Melichercík, Lukás Gajdosech, Viktor Kocur, Martin Madaras:
Supersampling of Data from Structured-light Scanner with Deep Learning. CoRR abs/2311.07432 (2023) - 2022
- [c1]Lukás Gajdosech, Viktor Kocur, Martin Stuchlík, Lukas Hudec, Martin Madaras:
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scan. VISIGRAPP (4: VISAPP) 2022: 545-552 - 2021
- [i1]Lukás Gajdosech, Viktor Kocur, Martin Stuchlík, Lukas Hudec, Martin Madaras:
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans. CoRR abs/2112.09598 (2021)
Coauthor Index
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