Christian Fruhwirth-Reisinger

According to our database1, Christian Fruhwirth-Reisinger authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learn to Rank: Visual Attribution by Learning Importance Ranking.
CoRR, April, 2026

SHARP: Short-Window Streaming for Accurate and Robust Prediction in Motion Forecasting.
CoRR, March, 2026

2025
GBlobs: Local LiDAR Geometry for Improved Sensor Placement Generalization.
CoRR, October, 2025

An Investigation of Beam Density on LiDAR Object Detection Performance.
CoRR, March, 2025

STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LiSu: A Dataset and Method for LiDAR Surface Normal Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
SAILOR: Scaling Anchors via Insights into Latent Object Representation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

GACE: Geometry Aware Confidence Enhancement for Black-box 3D Object Detectors on LiDAR-Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
DRT: Detection Refinement for Multiple Object Tracking.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

FAST3D: Flow-Aware Self-Training for 3D Object Detectors.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021


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