Alexey Nekrasov

According to our database, Alexey Nekrasov authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LSVOS 2025 Challenge Report: Recent Advances in Complex Video Object Segmentation.

Chang Liu, Henghui Ding, Kaining Ying, Lingyi Hong, Ning Xu, Linjie Yang, Yuchen Fan, Mingqi Gao, Jingkun Chen, Yunqi Miao, Gengshen Wu, Zhijin Qin, Jungong Han, Zhixiong Zhang, Shuangrui Ding, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Jiaqi Wang, Chang Soo Lim, Joonyoung Moon, Donghyeon Cho, Tingmin Li, Yixuan Li, Yang Yang, An Yan, Leilei Cao, Feng Lu, Ran Hong, Youhai Jiang, Fengjie Zhu, Yujie Xie, Hongyang Zhang, Zhihui Liu, Shihai Ruan, Quanzhu Niu, Dengxian Gong, Shihao Chen, Tao Zhang, Yikang Zhou, Haobo Yuan, Lu Qi, Xiangtai Li, Shunping Ji, Ran Hong, Feng Lu, Leilei Cao, An Yan, Alexey Nekrasov, Ali Athar, Daan de Geus, Alexander Hermans, Bastian Leibe

CoRR, October, 2025

3rd Place Report of LSVOS 2025 MeViS Track: Sa2VA-i: Improving Sa2VA Results with Consistent Training and Inference.

Alexey Nekrasov, Ali Athar, Daan de Geus, Alexander Hermans, Bastian Leibe

CoRR, September, 2025

Datasets from "MaskTerial: A Foundation Model for Automated 2D Material Flake Detection".

Jan-Lucas Uslu, Alexey Nekrasov, Alexander Hermans, Bernd Beschoten, Bastian Leibe, Lutz Waldecker, Christoph Stampfer

Dataset, June, 2025

Panoptic-CUDAL Technical Report: Rural Australia Point Cloud Dataset in Rainy Conditions.

Tzu-Yun Tseng, Alexey Nekrasov, Malcolm Burdorf, Bastian Leibe, Julie Stephany Berrio, Mao Shan, Stewart Worrall

CoRR, March, 2025

OoDIS: Anomaly Instance Segmentation and Detection Benchmark.

Alexey Nekrasov, Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction.

Severin Heidrich, Till Beemelmanns, Alexey Nekrasov, Bastian Leibe, Lutz Eckstein

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving.

Alexey Nekrasov, Malcolm Burdorf, Stewart Worrall, Bastian Leibe, Julie Stephany Berrio Perez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MaskTerial: A Foundation Model for Automated 2D Material Flake Detection.

Jan-Lucas Uslu, Alexey Nekrasov, Alexander Hermans, Bernd Beschoten, Bastian Leibe, Lutz Waldecker, Christoph Stampfer

Dataset, December, 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, Jo Henri Bertram, Marc Schütte, Kenji Watanabe, Takashi Taniguchi, Bernd Beschoten, Lutz Waldecker, Christoph Stampfer

Mach. Learn. Sci. Technol., March, 2024

MaskTerial: A Foundation Model for Automated 2D Material Flake Detection.

Jan-Lucas Uslu, Alexey Nekrasov, Alexander Hermans, Bernd Beschoten, Bastian Leibe, Lutz Waldecker, Christoph Stampfer

CoRR, 2024

OoDIS: Anomaly Instance Segmentation Benchmark.

Alexey Nekrasov, Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann

CoRR, 2024

Mask4Former: Mask Transformer for 4D Panoptic Segmentation.

Kadir Yilmaz, Jonas Schult, Alexey Nekrasov, Bastian Leibe

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

MASK4D: Mask Transformer for 4D Panoptic Segmentation.

Kadir Yilmaz, Jonas Schult, Alexey Nekrasov, Bastian Leibe

CoRR, 2023

UGainS: Uncertainty Guided Anomaly Instance Segmentation.

Alexey Nekrasov, Alexander Hermans, Lars Kuhnert, Bastian Leibe

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2021

Mix3D: Out-of-Context Data Augmentation for 3D Scenes.

Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, Francis Engelmann

Proceedings of the International Conference on 3D Vision, 2021