Horst Possegger

Dipl.-Ing. Dr.techn. BSc

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

possegger@tugraz.at

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

Streaming Real-Time Trajectory Prediction Using Endpoint-Aware Modeling

Prutsch, A., Schinagl, D., Possegger, H.

Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026, 2026, 3005-3014

Enhanced Environmental Context Encoding for Accurate Trajectory Prediction in Intralogistics

Prutsch, A., Possegger, H.

Proceedings of the Austrian Symposium on AI, Robotics, and Vision (AIRoV), 2026, 216-220

ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research

Krumpl, G., Avenhaus, H., Possegger, H.

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026

Local Point Cloud Features for LiDAR Self-Supervised Representation Learning

Malić, D., Fruhwirth-Reisinger, C., Possegger, H.

Recent Advances in Autonomous Vehicle Technology—Perception and Path Planning, Springer, 2026, 89-106, (Sustainable Mobility & Energy; Vol. )

Long-term observation to evaluate cyclist behaviour at RTOR junction in Austria

Tomasch, E., Schneider, B., Hoschopf, H., Kirillova, N., Possegger, H.

2026

One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection

Krumpl, G., Avenhaus, H., Possegger, H.

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026

SHARP: Short-Window Streaming for Accurate and Robust Prediction in Motion Forecasting

Prutsch, A., Fruhwirth-Reisinger, C., Schinagl, D., Possegger, H.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

Streaming Real-Time Trajectory Prediction Using Endpoint-Aware Modeling

Prutsch, A., Schinagl, D., Possegger, H.

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving

Fruhwirth-Reisinger, C., Malić, D., Lin, W., Schinagl, D., Schulter, S., Possegger, H.

Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks, 2025