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Atanas Poibrenski
Atanas Poibrenski
DFKI, Saarland Informatics Campus
Verified email at dfki.de - Homepage
Title
Cited by
Cited by
Year
M2p3: multimodal multi-pedestrian path prediction by self-driving cars with egocentric vision
A Poibrenski, M Klusch, I Vozniak, C Müller
Proceedings of the 35th Annual ACM Symposium on Applied Computing, 190-197, 2020
342020
Multimodal multi-pedestrian path prediction for autonomous cars
A Poibrenski, M Klusch, I Vozniak, C Müller
ACM SIGAPP Applied Computing Review 20 (4), 5-17, 2021
142021
Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task
A Poibrenski, J Sprenger, C Müller
Proceedings of the 1st International Workshop on Software Engineering for AI …, 2018
112018
Simp3: Social interaction-based multi-pedestrian path prediction by self-driving cars
N Muscholl, A Poibrenski, M Klusch, P Gebhard
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2731-2738, 2020
72020
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
F Nozarian, S Agarwal, F Rezaeianaran, D Shahzad, A Poibrenski, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
How machine perception relates to human perception: visual saliency and distance in a frame-by-frame semantic segmentation task for highly/fully automated driving
N Herbig, F Wiehr, A Poibrenski, J Sprenger, C Müller
Proceedings of the 1st International Workshop on Software Engineering for AI …, 2018
12018
Uncertainty-aware pseudo labels for domain adaptation in pedestrian trajectory prediction
A Poibrenski, F Nozarian, F Rezaeianaran, C Müller
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
2023
M2P3
A Poibrenski, M Klusch, I Vozniak, C Müller
Proceedings of the 35th Annual ACM Symposium on Applied Computing, 2020
2020
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