About

I am a Computer Vision and Robotics PhD researcher at Graz University of Technology in the Learning, Recognition & Perception group at the Institute of Visual Computing, supervised by Prof. Horst Bischof and Horst Possegger.

My research focuses on perception and prediction models for autonomous systems, with particular interests in motion forecasting, behavior prediction, and environment modeling. Passionate about advancing perception systems for robotics and autonomous vehicles, I specialize in developing efficient deep learning models and deploying them for practical use. My work spans both academic research and industrial R&D, utilizing real-world data and simulations to bring advanced models to deployment.

Publications

	Beyond Heuristics: Learning Spatio-Temporal Action Predicates for Robust Driving Scenario Mining Johannes Spoecklberger, Alexander Prutsch, Dušan Malić, Christian Fruhwirth-Reisinger, Horst Possegger Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) - Accepted for Publication, 2027.
	Edge-Deployed Streaming Real-Time Trajectory Prediction Alexander Prutsch, Erik Bonek, David Schinagl, Matthias Wess, Horst Possegger Machine Vision and Applications (MVA), 2026. PDF Code Project Page Publication
	DESCENT: Directed Edge Scene Encoding for Airport Surface Movement Prediction Alexander Prutsch, David Schinagl, Horst Possegger Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2026. PDF arXiv Code Project Page
	Learn to Rank: Visual Attribution by Learning Importance Ranking David Schinagl, Christian Fruhwirth-Reisinger, Alexander Prutsch, Samuel Schulter, Horst Possegger Proceedings of the European Conference on Computer Vision (ECCV), 2026. arXiv Code
	Adapting SHARP to Heterogeneous Traffic for the HetroD Challenge Alexander Prutsch, Christian Fruhwirth-Reisinger, David Schinagl, Horst Possegger Technical Report (HetroD Challenge @ECCV DriveX Workshop), 2026. PDF
	SHARP: Short-Window Streaming for Accurate and Robust Prediction in Motion Forecasting Alexander Prutsch, Christian Fruhwirth-Reisinger, David Schinagl, Horst Possegger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. PDF arXiv Code Project Page Poster Publication
	ASCENT: Transformer-Based Aircraft Trajectory Prediction in Non-Towered Terminal Airspace Alexander Prutsch, David Schinagl, Horst Possegger Proceedings of the International Conference on Robotics and Automation (ICRA), 2026. PDF arXiv Code Project Page Poster
	Streaming Real-Time Trajectory Prediction Using Endpoint-Aware Modeling Alexander Prutsch, David Schinagl, Horst Possegger Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) - Oral & Award Finalist, 2026. PDF arXiv Code Project Page Publication
	Lanes Are Not Enough: Enhancing Trajectory Prediction in Intralogistics Through Detailed Environmental Context Alexander Prutsch, Matthias Wess, Horst Possegger Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2025. PDF Publication
	Leveraging Foundation Models for Labeling Custom Object Masks in LiDAR Point Cloud Sequences Alexander Prutsch, Mathias Schustereder, Horst Possegger Proceedings of the European Conference on Mobile Robots (ECMR), 2025. PDF Publication
	Learning to Predict Mixed-Traffic Trajectories in Urban Scenarios from Little Training Data with Refined Environment Modeling Alexander Prutsch, Horst Possegger Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2025. PDF Publication
	Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed Alexander Prutsch, Horst Bischof, Horst Possegger Proceedings of the International Conference on Intelligent Robots and Systems (IROS), 2024. PDF arXiv Code Publication
	Action-By-Detection: Efficient Forklift Action Detection for Autonomous Mobile Robots in Warehouses Alexander Prutsch, Horst Possegger, Horst Bischof Proceedings of the International Conference on Robotics and Automation (ICRA), 2024. PDF Publication
	Studierfenster: An Open Science Cloud-Based Medical Imaging Analysis Platform Jan Egger, Daniel Wild, Maximilian Weber, Christopher A Ramirez Bedoya, Florian Karner, Alexander Prutsch, Michael Schmied, Christina Dionysio, Dominik Krobath, Yuan Jin, Christina Gsaxner, Jianning Li, Antonio Pepe Journal of Digital Imaging, 2022. Publication
	Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images Alexander Prutsch, Antonio Pepe, Jan Egger Proceedings of the Central European Seminar on Computer Graphics (CESCG), 2020. PDF arXiv Publication

Academic Service

Conference Reviewer for major vision, robotics, AI, and transportation venues, including ICCV, ECCV, ICRA, IROS, NeurIPS, and IV.

Alexander Prutsch

Publications

Academic Service