About

Currently, I am a PhD student at the Institute of Visual Computing (former ICG) at Graz University of Technology under the supervision of Prof. Horst Bischof.

My research interests focus on LiDAR-based 3D object detection, unsupervised domain adaptation (UDA) and multimodal large language models (MLLMs) for autonomous driving.

Previously, I received my Master’s degree in Information and Computer Engineering (Telematics) at Graz University of Technology.

Research

LiSu: A Dataset and Method for LiDAR Surface Normal Estimation
Dušan Malić, Christian Fruhwirth-Reisinger, Samuel Schulter, Horst Possegger
In Proc. of the Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Paper Code Dataset

GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection
Dušan Malić, Christian Fruhwirth-Reisinger, Samuel Schulter, Horst Possegger
In Proc. of the Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Paper Code

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, Horst Possegger
Arxiv preprint, 2025.
Paper Code Dataset

Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection
Christian Fruhwirth-Reisinger, Wei Lin, Dušan Malić, Horst Bischof, Horst Possegger
In Proc. of the British Machine Vision Conference (BMVC), 2024. Oral presentation, Best Poster Award
Paper Code

MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds
Georg Krispel, David Schinagl, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof
In Proc. of the Winter Conference on Applications of Computer Vision (WACV), 2024.
Paper

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
In Proc. of the International Conference on Computer Vision (ICCV), 2023.
Paper Code

SAILOR: Scaling Anchors via Insights into Latent Object Representation
Dušan Malić, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof
In Proc. of the Winter Conference on Applications of Computer Vision (WACV), 2023.
Paper Code

FAST3D: Flow-Aware Self-Training for 3D Object Detectors
Christian Fruhwirth-Reisinger, Michael Opitz, Horst Possegger, Horst Bischof
In Proc. of the British Machine Vision Conference (BMVC), 2021.
Paper

DRT: Detection Refinement for Multiple Object Tracking
Bisheng Wang, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof, Guo Cao
In Proc. of the British Machine Vision Conference (BMVC), 2021.
Paper

Towards Data-driven Multi-target Tracking for Autonomous Driving
Christian Fruhwirth-Reisinger, Georg Krispel, Horst Possegger, Horst Bischof
In Proc. of the Computer Vision Winter Workshop (CVVW), 2020.
Paper

Academic Service

Conference Reviewer:

  • CVPR: 2024, 2025
  • WACV: 2023, 2025

Journal Reviewer:

  • Pattern Recognition: 2021
  • TPAMI: 2022

Teaching

  • Computer Vision (exercise)