Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans. - Lukás Gajdosech; Viktor Kocur; Martin Stuchlík; Lukas Hudec; Martin Madaras (CoRR, 2021)

Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scan. - Lukás Gajdosech; Viktor Kocur; Martin Stuchlík; Lukas Hudec; Martin Madaras (VISIGRAPP (4: VISAPP), 2022)

Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization. - Peter Kravár; Lukás Gajdosech; Martin Madaras (ICANN (1), 2023)

Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization. - Lukás Gajdosech; Peter Kravár (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)

Supersampling of Data from Structured-light Scanner with Deep Learning. - Martin Melichercík; Lukás Gajdosech; Viktor Kocur; Martin Madaras (CoRR, 2023)

Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation. - Hassan Ali 005; Philipp Allgeuer; Carlo Mazzola; Giulia Belgiovine; Burak Can Kaplan; Lukás Gajdosech; Stefan Wermter (Humanoids, 2024)

Enhancement of 3D Camera Synthetic Training Data with Noise Models. - Katarína Osvaldová; Lukás Gajdosech; Viktor Kocur; Martin Madaras (CoRR, 2024)

On Representation of 3D Rotation in the Context of Deep Learning. - Viktória Pravdová; Lukás Gajdosech; Hassan Ali; Viktor Kocur (CoRR, 2024)

Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks. - Lukás Gajdosech; Hassan Ali 005; Jan-Gerrit Habekost; Martin Madaras; Matthias Kerzel; Stefan Wermter (CoRR, 2025)

Efficient vision-based vehicle speed estimation. - Andrej Macko; Lukás Gajdosech; Viktor Kocur (J. Real Time Image Process., 2025)