| Image segmentation using text and image prompts T Lüddecke, A Ecker Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 257* | 2022 |
| Learning to segment affordances T Lüddecke, F Wörgötter Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 31 | 2017 |
| Attention on abstract visual reasoning L Hahne, T Lüddecke, F Wörgötter, D Kappel arXiv preprint arXiv:1911.05990, 2019 | 23 | 2019 |
| Context-based affordance segmentation from 2D images for robot actions T Lüddecke, T Kulvicius, F Wörgötter Robotics and Autonomous Systems 119, 92-107, 2019 | 22 | 2019 |
| GPT4GEO: How a Language Model Sees the World's Geography J Roberts, T Lüddecke, S Das, K Han, S Albanie arXiv preprint arXiv:2306.00020, 2023 | 17 | 2023 |
| Distributional semantics of objects in visual scenes in comparison to text T Lüddecke, A Agostini, M Fauth, M Tamosiunaite, F Wörgötter Artificial Intelligence 274, 44-65, 2019 | 16 | 2019 |
| Deep metadata fusion for traffic light to lane assignment T Langenberg, T Lüddecke, F Wörgötter IEEE Robotics and Automation Letters 4 (2), 973-980, 2019 | 8 | 2019 |
| One-shot multi-path planning using fully convolutional networks in a comparison to other algorithms T Kulvicius, S Herzog, T Lüddecke, M Tamosiunaite, F Wörgötter Frontiers in Neurorobotics 14, 600984, 2021 | 7 | 2021 |
| Self-supervised representation learning of neuronal morphologies MA Weis, L Pede, T Lüddecke, AS Ecker Transactions on Machine Learning Research, 2023 | 6* | 2023 |
| One-shot multi-path planning for robotic applications using fully convolutional networks T Kulvicius, S Herzog, T Lüddecke, M Tamosiunaite, F Wörgötter 2020 IEEE International Conference on Robotics and Automation (ICRA), 1460-1466, 2020 | 6 | 2020 |
| One-shot path planning for multi-agent systems using fully convolutional neural network T Kulvicius, S Herzog, T Lüddecke, M Tamosiunaite, F Wörgötter arXiv preprint arXiv:2004.00568, 2020 | 6 | 2020 |
| An unsupervised map of excitatory neurons’ dendritic morphology in the mouse visual cortex MA Weis, S Papadopoulos, L Hansel, T Lüddecke, B Celii, PG Fahey, ... bioRxiv, 2022.12. 22.521541, 2022 | 5 | 2022 |
| The role of data for one-shot semantic segmentation T Luddecke, A Ecker Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5 | 2021 |
| Charting new territories: Exploring the geographic and geospatial capabilities of multimodal llms J Roberts, T Lüddecke, R Sheikh, K Han, S Albanie arXiv preprint arXiv:2311.14656, 2023 | 3 | 2023 |
| Fine-grained action plausibility rating T Lueddecke, F Woergoetter Robotics and Autonomous Systems 129, 103511, 2020 | 3 | 2020 |
| Convolutional neural networks for movement prediction in videos A Warnecke, T Lüddecke, F Wörgötter Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland …, 2017 | 3 | 2017 |
| Vibroacoustic Frequency Response Prediction with Query-based Operator Networks J van Delden, J Schultz, C Blech, SC Langer, T Lüddecke arXiv preprint arXiv:2310.05469, 2023 | 1 | 2023 |
| 3D Object Classification via Part Graphs. F Teich, T Lüddecke, F Wörgötter VISIGRAPP (5: VISAPP), 417-426, 2021 | 1 | 2021 |
| Learning to label affordances from simulated and real data T Lüddecke, F Wörgötter arXiv preprint arXiv:1709.08872, 2017 | 1 | 2017 |
| Part-driven visual perception of 3D objects F Gressmann, T Lüddecke, T Ivanovska, M Schoeler, F Wörgötter International Conference on Computer Vision Theory and Applications 6, 370-377, 2017 | 1 | 2017 |
