Tu Graz

Horst Possegger

Dipl.-Ing. Dr.techn. BSc

Tackling all sorts of visual perception tasks through machine learning since 2011.

possegger@tugraz.at
+43 316 873 - 5033
ivc.tugraz.at
TUGRAZonline
Team Possegger
Horst Possegger

Additional Information

In 2018, I completed my PhD on visual object tracking, focusing on the use of contextual information for generic single-object tracking and the development of multi-object tracking algorithms. I lead the Learning, Recognition & Perception (LRP) workgroup. Our research centers on addressing visual perception tasks using machine learning, including object recognition and tracking in both 2D and 3D, visual motion analysis and forecasting, anomaly detection, and video analysis more broadly.

Publications

Exploring Modality Guidance to Enhance VFM-Based Feature Fusion for UDA in 3D Semantic Segmentation
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)
Ensemble-Enhanced Semantic Segmentation for Efficient Waste Recycling
Akbari Moafi, M., Possegger, H.
Proceedings of the International Conference on Image Analysis and Processing (ICIAP), 2025
GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection
Malić, D., Fruhwirth-Reisinger, C., Schulter, S., Possegger, H.
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)
Lanes Are Not Enough: Enhancing Trajectory Prediction in Intralogistics Through Detailed Environmental Context
Prutsch, A., Wess, M., Possegger, H.
Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2025
Learning to Predict Mixed-Traffic Trajectories in Urban Scenarios from Little Training Data with Refined Environment Modeling
Prutsch, A., Possegger, H.
IV 2025 - 36th IEEE Intelligent Vehicles Symposium, 2025, 656-662, (IEEE Intelligent Vehicles Symposium, Proceedings)
Leveraging Foundation Models for Labeling Custom Object Masks in LiDAR Point Cloud Sequences
Prutsch, A., Schustereder, M., Possegger, H.
2025 European Conference on Mobile Robots, ECMR 2025 - Proceedings, 2025
LiSu: A Dataset and Method for LiDAR Surface Normal Estimation
Malić, D., Fruhwirth-Reisinger, C., Schulter, S., Possegger, H.
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)
Proceedings of the 28th Computer Vision Winter Workshop
Fraundorfer, F., Pock, T., Possegger, H.
2025
A Synthetic Multi-View Tracking and 3D Pose Dataset for Automated Airport Visual Surveillance
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)