| Lightweight monocular depth estimation through guided decoding M Rudolph, Y Dawoud, R Güldenring, L Nalpantidis, V Belagiannis 2022 International Conference on Robotics and Automation (ICRA), 2344-2350, 2022 | 31 | 2022 |
| Few-shot microscopy image cell segmentation Y Dawoud, J Hornauer, G Carneiro, V Belagiannis Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 22 | 2021 |
| A spatio-temporal multilayer perceptron for gesture recognition A Holzbock, A Tsaregorodtsev, Y Dawoud, K Dietmayer, V Belagiannis 2022 IEEE Intelligent Vehicles Symposium (IV), 1099-1106, 2022 | 15 | 2022 |
| Edge-based self-supervision for semi-supervised few-shot microscopy image cell segmentation Y Dawoud, K Ernst, G Carneiro, V Belagiannis International Workshop on Medical Optical Imaging and Virtual Microscopy …, 2022 | 7 | 2022 |
| Knowing what to label for few shot microscopy image cell segmentation Y Dawoud, A Bouazizi, K Ernst, G Carneiro, V Belagiannis Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| Influences of train wagon vibrations on the mmwave wagon-to-wagon channel M Soliman, Y Dawoud, E Staudinger, S Sand, A Schuetz, A Dekorsy 12th European Conference on Antennas and Propagation (EuCAP 2018), 1-5, 2018 | 6 | 2018 |
| Multi-conditioned graph diffusion for neural architecture search R Asthana, J Conrad, Y Dawoud, M Ortmanns, V Belagiannis arXiv preprint arXiv:2403.06020, 2024 | 4 | 2024 |
| SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation Y Dawoud, G Carneiro, V Belagiannis Proceedings of the IEEE/CVF International Conference on Computer Vision, 973-982, 2023 | 1 | 2023 |
| Smart task design for meta learning medical image analysis systems: Unsupervised, weakly-supervised, and cross-domain design of meta learning tasks CC Nguyen, Y Dawoud, TT Do, JC Nascimento, V Belagiannis, ... Meta Learning With Medical Imaging and Health Informatics Applications, 185-209, 2023 | 1 | 2023 |
| Module name V Belagiannis, A El-Ghoussani Module description, 117, 0 | | |
