Markus Murschitz

According to our database1, Markus Murschitz authored at least 15 papers between 2013 and 2023.

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

2023
PrimitivePose: Generic Model and Representation for 3D Bounding Box Prediction of Unseen Objects.
Int. J. Semantic Comput., September, 2023

Joint Camera and LiDAR Risk Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives.
Proceedings of the Sixth IEEE International Conference on Robotic Computing, 2022

Unifying Panoptic Segmentation for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2019
RailSem19: A Dataset for Semantic Rail Scene Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
WildDash - Creating Hazard-Aware Benchmarks.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
How Good Is My Test Data? Introducing Safety Analysis for Computer Vision.
Int. J. Comput. Vis., 2017

CV-HAZOP: Introducing Test Data Validation for Computational Imaging.
ERCIM News, 2017

Analyzing Computer Vision Data - The Good, the Bad and the Ugly.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Guided Matching Based on Statistical Optical Flow for Fast and Robust Correspondence Analysis.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
CV-HAZOP: Introducing Test Data Validation for Computer Vision.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
VITRO - Vision-Testing for Robustness.
ERCIM News, 2014

Low-Discrepancy Distribution of Points on Arbitrary Polygonal 3D-surfaces.
Proceedings of the GRAPP 2014, 2014

2013
Model-based Test-Case Generation for Testing Robustness of Vision Components of Robotic Systems.
Proceedings of the SAFECOMP 2013, 2013

VITRO - Model based vision testing for robustness.
Proceedings of the 44th Internationel Symposium on Robotics, 2013


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