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

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

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

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

2026

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

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

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)

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)

Ensemble-Enhanced Semantic Segmentation for Efficient Waste Recycling

Akbari Moafi, M., Possegger, H.

Image Analysis and Processing – ICIAP 2025, 23rd International Conference, Proceedings, Part I, 2025, 362-374, (Lecture Notes in Computer Science; Vol. 16167 LNCS)