| Wilddash-creating hazard-aware benchmarks O Zendel, K Honauer, M Murschitz, D Steininger, GF Dominguez Proceedings of the European conference on computer vision (ECCV), 402-416, 2018 | 213 | 2018 |
| Railsem19: A dataset for semantic rail scene understanding O Zendel, M Murschitz, M Zeilinger, D Steininger, S Abbasi, C Beleznai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 149 | 2019 |
| How good is my test data? Introducing safety analysis for computer vision O Zendel, M Murschitz, M Humenberger, W Herzner International Journal of Computer Vision 125, 95-109, 2017 | 71 | 2017 |
| Cv-hazop: Introducing test data validation for computer vision O Zendel, M Murschitz, M Humenberger, W Herzner Proceedings of the IEEE International Conference on Computer Vision, 2066-2074, 2015 | 57 | 2015 |
| Unifying panoptic segmentation for autonomous driving O Zendel, M Schörghuber, B Rainer, M Murschitz, C Beleznai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 55 | 2022 |
| Guided matching based on statistical optical flow for fast and robust correspondence analysis J Maier, M Humenberger, M Murschitz, O Zendel, M Vincze Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 43 | 2016 |
| Analyzing computer vision data-the good, the bad and the ugly O Zendel, K Honauer, M Murschitz, M Humenberger, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 36 | 2017 |
| Railsem19: A dataset for semantic rail scene understanding. In 2019 IEEE O Zendel, M Murschitz, M Zeilinger, D Steininger, S Abbasi, C Beleznai CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2019 | 16 | 2019 |
| Vitro-model based vision testing for robustness O Zendel, W Herzner, M Murschitz IEEE ISR 2013, 1-6, 2013 | 15 | 2013 |
| Joint Camera and LiDAR Risk Analysis O Zendel, J Huemer, M Murschitz, GF Dominguez, A Lobe Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Primitivepose: 3d bounding box prediction of unseen objects via synthetic geometric primitives A Kriegler, C Beleznai, M Murschitz, K Göbel, M Gelautz 2022 Sixth IEEE International Conference on Robotic Computing (IRC), 190-197, 2022 | 3 | 2022 |
| VITRO-Vision Testing for Robustness O Zendel, W Herzner, M Murschitz ERCIM News 97, 2014 | 2 | 2014 |
| An Experience Report on Requirements-Driven Model-Based Synthetic Vision Testing M Murschitz, O Zendel, M Humenberger, C Sulzbachner, GF Domınguez Workshop on Quality Assurance in Computer Vision at 28th International …, 2016 | 1 | 2016 |
| Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks M Schwingshackl, FF Oberweger, M Murschitz arXiv preprint arXiv:2501.10080, 2025 | | 2025 |
| TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry Operations D Steininger, J Simon, A Trondl, M Murschitz arXiv preprint arXiv:2501.07360, 2025 | | 2025 |
| Pallet detection and 3D pose estimation via geometric cues learned from synthetic data C Beleznai, L Reisinger, W Pointner, M Murschitz International Conference on Pattern Recognition and Artificial Intelligence …, 2024 | | 2024 |
| Composite Object Detection and 3D Pose Estimation: Diploma Thesis F Wimmer, C Müller, M Murschitz | | 2023 |
| PrimitivePose: Generic Model and Representation for 3D Bounding Box Prediction of Unseen Objects A Kriegler, C Beleznai, M Gelautz, M Murschitz, K Göbel International Journal of Semantic Computing 17 (03), 387-410, 2023 | | 2023 |
| CV-HAZOP: Introducing Test Data Validation for Computational Imaging O Zendel, M Murschitz, M Humenberger ERCIM News 108, 42-43, 2017 | | 2017 |
| Creating Good Test Data O Zendel, M Murschitz, GJF Dominguez, W Herzner ECCV 2016 Workshop on Datasets and Performance Analysis in Early Vision, 2016 | | 2016 |
Oliver ZendelAustrian Institute of TechnologyZweryfikowany adres z ait.ac.at