Markus Murschitz

According to our database, Markus Murschitz authored at least 18 papers between 2013 and 2025.

Collaborative distances:

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

2025

Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks.

Michael Schwingshackl, Fabio Francisco Oberweger, Markus Murschitz

CoRR, January, 2025

TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations.

Daniel Steininger, Julia Simon, Andreas Trondl, Markus Murschitz

CoRR, January, 2025

2024

Pallet Detection and 3D Pose Estimation via Geometric Cues Learned from Synthetic Data.

Csaba Beleznai, Lukas Reisinger, Wolfgang Pointner, Markus Murschitz

Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

2023

PrimitivePose: Generic Model and Representation for 3D Bounding Box Prediction of Unseen Objects.

Andreas Kriegler, Csaba Beleznai, Margrit Gelautz, Markus Murschitz, Kai Göbel

Int. J. Semantic Comput., September, 2023

Joint Camera and LiDAR Risk Analysis.

Oliver Zendel, Johannes Huemer, Markus Murschitz, Gustavo Fernández Domínguez, Amadeus Lobe

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.

Andreas Kriegler, Csaba Beleznai, Markus Murschitz, Kai Göbel, Margrit Gelautz

Proceedings of the Sixth IEEE International Conference on Robotic Computing, 2022

Unifying Panoptic Segmentation for Autonomous Driving.

Oliver Zendel, Matthias Schörghuber, Bernhard Rainer, Markus Murschitz, Csaba Beleznai

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

2019

RailSem19: A Dataset for Semantic Rail Scene Understanding.

Oliver Zendel, Markus Murschitz, Marcel Zeilinger, Daniel Steininger, Sara Abbasi, Csaba Beleznai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

WildDash - Creating Hazard-Aware Benchmarks.

Oliver Zendel, Katrin Honauer, Markus Murschitz, Daniel Steininger, Gustavo Fernández Domínguez

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

How Good Is My Test Data? Introducing Safety Analysis for Computer Vision.

Oliver Zendel, Markus Murschitz, Martin Humenberger, Wolfgang Herzner

Int. J. Comput. Vis., 2017

CV-HAZOP: Introducing Test Data Validation for Computational Imaging.

Oliver Zendel, Markus Murschitz, Martin Humenberger

ERCIM News, 2017

Analyzing Computer Vision Data - The Good, the Bad and the Ugly.

Oliver Zendel, Katrin Honauer, Markus Murschitz, Martin Humenberger, Gustavo Fernández Domínguez

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.

Josef Maier, Martin Humenberger, Markus Murschitz, Oliver Zendel, Markus Vincze

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

CV-HAZOP: Introducing Test Data Validation for Computer Vision.

Oliver Zendel, Markus Murschitz, Martin Humenberger, Wolfgang Herzner

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

VITRO - Vision-Testing for Robustness.

Oliver Zendel, Wolfgang Herzner, Markus Murschitz

ERCIM News, 2014

Low-Discrepancy Distribution of Points on Arbitrary Polygonal 3D-surfaces.

Alena Bulyha, Wolfgang Herzner, Markus Murschitz, Oliver Zendel

Proceedings of the GRAPP 2014, 2014

2013

Model-based Test-Case Generation for Testing Robustness of Vision Components of Robotic Systems.

Wolfgang Herzner, Markus Murschitz, Oliver Zendel

Proceedings of the SAFECOMP 2013, 2013

VITRO - Model based vision testing for robustness.

Oliver Zendel, Wolfgang Herzner, Markus Murschitz

Proceedings of the 44th Internationel Symposium on Robotics, 2013