About

I am a postdoctoral researcher at the Institute of Visual Computing at Graz University of Technology, working in the group of Horst Possegger. In 2024, I finished my PhD thesis under the supervision of Prof. Horst Bischof, where I investigated how explainability can be leveraged to improve the performance of 3D object detectors.

My research lies at the intersection of computer vision, 3D perception, and explainable AI. I am particularly interested in understanding what deep neural networks actually learn - and in making their decisions interpretable, trustworthy, and verifiable, especially for safety-critical applications such as autonomous driving.

Since 2022, I regularly serve as a reviewer for top-tier computer vision and machine learning venues, including CVPR, ICCV, ECCV, and NeurIPS, with a focus on explainability in 2D and 3D perception.

News

Apr 2026 New preprint: Learn to Rank available on arXiv.
Feb 2026 Two papers accepted at CVPR 2026 (SHARP) and ICRA 2026 (ASCENT).
Jan 2026 SEAM selected for oral presentation at WACV 2026.
Sep 2025 STSBench accepted at NeurIPS 2025.
Jun 2024 Successfully defended my PhD thesis at Graz University of Technology.
Oct 2023 Presented GACE at ICCV 2023 in Paris.
Jun 2022 OccAM's Laser presented at CVPR 2022 in New Orleans.

Selected Publications

Learn to Rank: Visual Attribution by Learning Importance Ranking

arXiv 2026

Learn to Rank: Visual Attribution by Learning Importance Ranking

David Schinagl, Christian Fruhwirth-Reisinger, Alexander Prutsch, Samuel Schulter and Horst Possegger

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

CVPR 2026Denver, Colorado (USA)

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

Alexander Prutsch, Christian Fruhwirth-Reisinger, David Schinagl and Horst Possegger

ASCENT: Transformer-Based Aircraft Trajectory Prediction in Non-Towered Terminal Airspace

ICRA 2026Vienna (Austria)

ASCENT: Transformer-Based Aircraft Trajectory Prediction in Non-Towered Terminal Airspace

Alexander Prutsch, David Schinagl and Horst Possegger

Streaming Real-Time Trajectory Prediction Using Endpoint-Aware Modeling

WACV 2026 - OralTucson, Arizona (USA)

Streaming Real-Time Trajectory Prediction Using Endpoint-Aware Modeling

Alexander Prutsch, David Schinagl and Horst Possegger

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

NeurIPS 2025San Diego, California (USA)

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

Christian Fruhwirth-Reisinger, Dušan Malić, Wei Lin, David Schinagl, Samuel Schulter and Horst Possegger

From Explanation to Optimization: Advancing LiDAR-based 3D Object Detection

PhD ThesisGraz University of Technology (Austria)

From Explanation to Optimization: Advancing LiDAR-based 3D Object Detection

David Schinagl, June 2024, Supervised by Prof. Horst Bischof

MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds

WACV 2024Waikoloa, Hawaii (USA)

MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds

Georg Krispel, David Schinagl, Christian Fruhwirth-Reisinger, Horst Possegger and Horst Bischof

GACE: Geometry Aware Confidence Enhancement for Black-box 3D Object Detectors on LiDAR-Data

ICCV 2023Paris (France)

GACE: Geometry Aware Confidence Enhancement for Black-box 3D Object Detectors on LiDAR-Data

David Schinagl, Georg Krispel, Christian Fruhwirth-Reisinger, Horst Possegger and Horst Bischof

OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data

CVPR 2022New Orleans, Louisiana (USA)

OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data

David Schinagl, Georg Krispel, Horst Possegger, Peter M. Roth and Horst Bischof

MURAUER: Mapping Unlabeled Real Data for Label AUstERity

WACV 2019Waikoloa, Hawaii (USA)

MURAUER: Mapping Unlabeled Real Data for Label AUstERity

Georg Poier, Michael Opitz, David Schinagl and Horst Bischof

Learning Pose Specific Representations by Predicting Different Views

CVPR 2018Salt Lake City, Utah (USA)

Learning Pose Specific Representations by Predicting Different Views

Georg Poier, David Schinagl and Horst Bischof