Veröffentlichungen

Vehicle Intention Classification Using Visual Clues
Klemp, M.; Wagner, R.; Rosch, K.; Lauer, M.; Stiller, C.
2024. 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, 13th-17th May 2024, 16395 – 16401, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA57147.2024.10610547
RedMotion: Motion Prediction via Redundancy Reduction
Wagner, R.; Tas, O. S.; Klemp, M.; Fernandez, C.; Stiller, C.
2024. Transactions on Machine Learning Research
End-to-End Trainable Deep Neural Network for Radar Interference Detection and Mitigation
Klemp, M.; Chen, S.; Wagner, R.; Lauer, M.
2023. 2023 IEEE International Radar Conference (RADAR), Sydney, 6th-10th November 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/RADAR54928.2023.10371151
Self-supervised pseudo-colorizing of masked cells
Wagner, R.; Lopez, C. F.; Stiller, C.
2023. PLOS ONE, 18 (8), Art.-Nr.: e0290561. doi:10.1371/journal.pone.0290561
Cellcentroidformer: Combining self-attention and convolution for cell detection
Wagner, R.; Rohr, K.
2022. Annual Conference on Medical Image Understanding and Analysis, 212–222, Springer
EfficientCellSeg: efficient volumetric cell segmentation using context aware pseudocoloring
Wagner, R.; Rohr, K.
2022. International Conference on Medical Imaging with Deep Learning, 1311–1321, PMLR