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

icg.tugraz.at

TUGRAZonline

Team 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

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

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.

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2025

Leveraging Foundation Models for Labeling Custom Object Masks in LiDAR Point Cloud Sequences

Prutsch, A., Schustereder, M., Possegger, H.

Proceedings of the European Conference on Mobile Robots (ECMR), 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

Proceedings of the 28th Computer Vision Winter Workshop

Fraundorfer, F., Pock, T., Possegger, H.

2025

Meta-prompting for Automating Zero-Shot Visual Recognition with LLMs

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)

MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection

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)