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 | 191 | 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 | 110 | 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 | 63 | 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 | 52 | 2015 |
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 | 38 | 2016 |
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 | 37 | 2022 |
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 | 33 | 2017 |
Vitro-model based vision testing for robustness O Zendel, W Herzner, M Murschitz IEEE ISR 2013, 1-6, 2013 | 12 | 2013 |
Ground truth accuracy and performance of the matching pipeline J Maier, M Humenberger, O Zendel, M Vincze Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 9 | 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 | 6 | 2019 |
Ood-cv-v2: An extended benchmark for robustness to out-of-distribution shifts of individual nuisances in natural images B Zhao, J Wang, W Ma, A Jesslen, S Yang, S Yu, O Zendel, C Theobalt, ... arXiv preprint arXiv:2304.10266, 2023 | 3 | 2023 |
Open peer review CMS support O Zendel, M Schörghuber, M Vignoli Proceedings of the 13th International Symposium on Open Collaboration, 1-4, 2017 | 2 | 2017 |
VITRO-Vision Testing for Robustness O Zendel, W Herzner, M Murschitz ERCIM News 97, 2014 | 2 | 2014 |
Towards Scene Understanding for Autonomous Operations on Airport Aprons D Steininger, A Kriegler, W Pointner, V Widhalm, J Simon, O Zendel Proceedings of the Asian Conference on Computer Vision, 147-163, 2022 | 1 | 2022 |
Deliverable D3. 4–Open Peer Review: Good practices and lessons learned E Görögh, T Ross-Hellauer, B Schmidt, A Bardi, V Casarosa, P Manghi, ... Zenodo. See https://zenodo. org/record/2557308#. XqnBsKgzbIU (accessed 20 …, 2019 | 1 | 2019 |
An Experience Report on Requirements-Driven Model-Based Synthetic Vision Testing M Murschitz, O Zendel, M Humenberger, C Sulzbachner, GF Domínguez Joint Proceedings of the International Workshop on Quality Assurance in …, 2016 | 1 | 2016 |
Virtual 3D shield for asset protection D Moldovan, O Zendel, C Zinner 2014 IEEE Fourth International Conference on Consumer Electronics Berlin …, 2014 | 1 | 2014 |
Test Data for Dependable Computer Vision Applications O Zendel Technische Universität Wien, 2023 | | 2023 |
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 | | 2023 |
NAPHash: Efficient Image Hash to Reduce Dataset Redundancy O Zendel, C Zinner 2021 International Conference on Electrical, Computer and Energy …, 2021 | | 2021 |