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Team Possegger

The Learning, Recognition, and Perception (LRP) research group focuses on solving visual perception tasks through machine learning. By tackling application-driven problems with efficient algorithms, the group’s research activities concentrate on a variety of topics, including object detection & tracking, domain adaptation, online/continuous learning, semantic segmentation, anomaly and out-of-distribution detection.

Team Members

Team Lead
PostDoc
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student
PhD Student

Projects

Research Project Contact Person Filter
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ReUseTex

ReCoDi – Refinable Colorization of Historic Imagery via Conditional Diffusion Models

SAFER – Smart Assistant For Enhanced Remote Digital Tower

CDLEML – Christian Doppler Laboratory for Embedded Machine Learning

TrAvO – Traffic Analysis via Observations

Team publications

Publications Textsearch
Spoecklberger, J., Lin, W., Hermosilla, P., Doveh, S., Possegger, H., Mirza, M.
Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops , CVPRW 2025, 2025, 4789-4798, (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops)
Akbari Moafi, M., Possegger, H.
Proceedings of the International Conference on Image Analysis and Processing (ICIAP), 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, 27357-27367, (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition)
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2025
IV 2025 - 36th IEEE Intelligent Vehicles Symposium, 2025, 656-662, (IEEE Intelligent Vehicles Symposium, Proceedings)
Prutsch, A., Schustereder, M., Possegger, H.
2025 European Conference on Mobile Robots, ECMR 2025 - Proceedings, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, 17039-17049, (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition)
Tufan, M., Fruhwirth-Reisinger, C., Mirza, M., Stern, D.
Proceedings of the 28th Computer Vision Winter Workshop (CVWW), 2025, 62-70
Mansour, A., Beleznai, C., Oberweger, F., Widhalm, V., Kirillova, N., Possegger, H.
International Multi-Conference on Information Society - IS 2025, Proceedings of the Middle-European Conference on Applied Theoretical Computer Science (MATCOS) , 2025, 80-83, (Information Society)
Mirza, M., Karlinsky, L., Lin, W., Doveh, S., Micorek, J., Kozinski, M., Kuehne, H., Possegger, H.
Proceedings of the 18th European Conference on Computer Vision (ECCV) 2024, 2024, 370-387, (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15060 LNCS)
Micorek, J., Possegger, H., Narnhofer, D., Bischof, H., Koziński, M.
Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, 2024, 18868-18877, (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition)
Kolli, A., Casamassima, F., Possegger, H., Bischof, H.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, 7825-7829, (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings)
EEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024