New Metrics for Industrial Depth Sensors Evaluation for Precise Robotic Applications. - Konrad P. Cop; Arne Peters; Bare L. Zagar; Daniel Hettegger; Alois C. Knoll (IROS, 2021)

Real-Time Instance Segmentation of Pedestrians using Transfer Learning. - Bare Luka Zagar; Tobias Preintner; Alois C. Knoll; Ekim Yurtsever (ICAC, 2022)

Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks. - Josip Josifovski; Mohammadhossein Malmir; Noah Klarmann; Bare Luka Zagar; Nicolás Navarro-Guerrero; Alois C. Knoll (IROS, 2022)

Point Cloud Registration With Object-Centric Alignment. - Bare Luka Zagar; Ekim Yurtsever; Arne Peters; Alois C. Knoll (IEEE Access, 2022)

REMODEL. WP4. Vision-Based Perception. T4-2. Dynamic environment reconstruction. Data related to a paper published on IEEE Access (2022). - Bare Luka Zagar; Ekim Yurtsever; Arne Peters; Alois C. Knoll (Zenodo, 2022)

Copy and Paste Augmentation for Deformable Wiring Harness Bags Segmentation. - Bare Luka Zagar; Alessio Caporali; Amadeusz Szymko; Piotr Kicki; Krzysztof Walas; Gianluca Palli; Alois C. Knoll (AIM, 2023)

Targetless Extrinsic Calibration Between Event-Based and RGB Camera for Intelligent Transportation Systems. - Christian Creß; Erik Schütz; Bare Luka Zagar; Alois C. Knoll (IV, 2023)

Vision Language Models in Autonomous Driving and Intelligent Transportation Systems. - Xingcheng Zhou; Mingyu Liu; Bare Luka Zagar; Ekim Yurtsever; Alois C. Knoll (CoRR, 2023)

RT-DLO: Real-Time Deformable Linear Objects Instance Segmentation. - Alessio Caporali; Kevin Galassi; Bare Luka Zagar; Riccardo Zanella; Gianluca Palli; Alois C. Knoll (IEEE Trans. Ind. Informatics, 2023)

Advancing 3D Mesh Analysis: A Graph Learning Approach for Intersecting 3D Geometry Classification. - Stefan-Andreas Böhm; Martin Neumayer; Bare Luka Zagar; Fabian Riß; Christian Kortüm; Alois Knoll (ICPR (2), 2024)

GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs. - Mingyu Liu; Ekim Yurtsever; Marc Brede; Jun Meng; Walter Zimmer; Xingcheng Zhou; Bare Luka Zagar; Yuning Cui 001; Alois C. Knoll (ITSC, 2024)

A Survey on Autonomous Driving Datasets: Data Statistic, Annotation, and Outlook. - Mingyu Liu; Ekim Yurtsever; Xingcheng Zhou; Jonathan Fossaert; Yuning Cui 001; Bare Luka Zagar; Alois C. Knoll (CoRR, 2024)

A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook. - Mingyu Liu; Ekim Yurtsever; Jonathan Fossaert; Xingcheng Zhou; Walter Zimmer; Yuning Cui 001; Bare Luka Zagar; Alois C. Knoll (IEEE Trans. Intell. Veh., 2024)

3D Understanding of Deformable Linear Objects: Datasets and Transferability Benchmark. - Bare Luka Zagar; Mingyu Liu; Tim Hertel; Ekim Yurtsever; Alois Knoll (WACV, 2025)