Mix3D: Out-of-Context Data Augmentation for 3D Scenes. - Alexey Nekrasov 001; Jonas Schult; Or Litany; Bastian Leibe; Francis Engelmann (3DV, 2021)

UGainS: Uncertainty Guided Anomaly Instance Segmentation. - Alexey Nekrasov 001; Alexander Hermans; Lars Kuhnert; Bastian Leibe (DAGM, 2023)

MASK4D: Mask Transformer for 4D Panoptic Segmentation. - Kadir Yilmaz; Jonas Schult; Alexey Nekrasov 001; Bastian Leibe (CoRR, 2023)

Mask4Former: Mask Transformer for 4D Panoptic Segmentation. - Kadir Yilmaz; Jonas Schult; Alexey Nekrasov 001; Bastian Leibe (ICRA, 2024)

OoDIS: Anomaly Instance Segmentation Benchmark. - Alexey Nekrasov 001; Rui Zhou; Miriam Ackermann; Alexander Hermans; Bastian Leibe; Matthias Rottmann (CoRR, 2024)

MaskTerial: A Foundation Model for Automated 2D Material Flake Detection. - Jan-Lucas Uslu; Alexey Nekrasov 001; Alexander Hermans; Bernd Beschoten; Bastian Leibe; Lutz Waldecker; Christoph Stampfer (CoRR, 2024)

An open-source robust machine learning platform for real-time detection and classification of 2D material flakes. - Jan-Lucas Uslu; Taoufiq Ouaj; David Tebbe; Alexey Nekrasov 001; Jo Henri Bertram; Marc Schütte; Kenji Watanabe; Takashi Taniguchi; Bernd Beschoten; Lutz Waldecker; Christoph Stampfer (Mach. Learn. Sci. Technol., 2024)

Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving. - Alexey Nekrasov 001; Malcolm Burdorf; Stewart Worrall 002; Bastian Leibe; Julie Stephany Berrio Perez (CVPR, 2025)

OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction. - Severin Heidrich; Till Beemelmanns; Alexey Nekrasov 001; Bastian Leibe; Lutz Eckstein (CoRR, 2025)

Panoptic-CUDAL Technical Report: Rural Australia Point Cloud Dataset in Rainy Conditions. - Tzu-Yun Tseng; Alexey Nekrasov 001; Malcolm Burdorf; Bastian Leibe; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002 (CoRR, 2025)