| COVID detection and severity prediction with 3D-ConvNeXt and custom pretrainings D Kienzle, J Lorenz, R Schön, K Ludwig, R Lienhart European Conference on Computer Vision, 500-516, 2022 | 11 | 2022 |
| All keypoints you need: Detecting arbitrary keypoints on the body of triple, high, and long jump athletes K Ludwig, J Lorenz, R Schön, R Lienhart Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Pseudo-label noise suppression techniques for semi-supervised semantic segmentation S Scherer, R Schön, R Lienhart arXiv preprint arXiv:2210.10426, 2022 | 4 | 2022 |
| The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data LH Boulogne, J Lorenz, D Kienzle, R Schön, K Ludwig, R Lienhart, ... Medical Image Analysis 97, 103230, 2024 | 2 | 2024 |
| Adapting the Segment Anything Model During Usage in Novel Situations R Schön, J Lorenz, K Ludwig, R Lienhart Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Unsupervised domain extension for nighttime semantic segmentation in urban scenes S Scherer, R Schön, K Ludwig, R Lienhart | 2 | 2021 |
| Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation D Kienzle, M Kantonis, R Schön, R Lienhart arXiv preprint arXiv:2405.14467, 2024 | 1 | 2024 |
| Impact of pseudo depth on open world object segmentation with minimal user guidance R Schön, K Ludwig, R Lienhart Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Covid detection and severity prediction with 3d-convnext and custom pretrainings, 2022 D Kienzle, J Lorenz, R Schön, K Ludwig, R Lienhart URL https://arxiv. org/abs/2206.15073, 2022 | 1* | 2022 |
| Custom pretrainings and adapted 3d-convnext architecture for covid detection and severity prediction D Kienzle, J Lorenz, R Schön, K Ludwig, R Lienhart CoRR, 2022 | 1 | 2022 |
| WSESeg: Introducing a Dataset for the Segmentation of Winter Sports Equipment with a Baseline for Interactive Segmentation R Schön, D Kienzle, R Lienhart arXiv preprint arXiv:2407.09288, 2024 | | 2024 |
| A Review and Efficient Implementation of Scene Graph Generation Metrics J Lorenz, R Schön, K Ludwig, R Lienhart Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Learning semantic segmentation from synthetic data using generative adversarial networks R Schön | | 2021 |
