David Schinagl

According to our database, David Schinagl authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Learn to Rank: Visual Attribution by Learning Importance Ranking.

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

CoRR, April, 2026

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

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

CoRR, March, 2026

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

Alexander Prutsch, David Schinagl, Horst Possegger

CoRR, March, 2026

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, 2026

2025

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

Christian Fruhwirth-Reisinger, Dusan Malic, Wei Lin, David Schinagl, Samuel Schulter, Horst Possegger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

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

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2019

MURAUER: Mapping Unlabeled Real Data for Label AUstERity.

Georg Poier, Michael Opitz, David Schinagl, Horst Bischof

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018

Learning Pose Specific Representations by Predicting Different Views.

Georg Poier, David Schinagl, Horst Bischof

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018