| 2026 | ICPR | WheatFormer3D: Segmentation and Phenotyping of Wheat Heads with Transformers. | Ashutosh Singh, Sarah Hoppe, Lina E. Budde, Maximilian Pircher, Stefan Oehmcke |
| 2024 | ECCV | MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning. | Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang |
| 2022 | SDM | Input Selection for Bandwidth-Limited Neural Network Inference. | Stefan Oehmcke, Fabian Gieseke |
| 2021 | WACV | Attentional Feature Fusion. | Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard |
| 2020 | ICPR | Attention as Activation. | Yimian Dai, Stefan Oehmcke, Fabian Gieseke, Yiquan Wu, Kobus Barnard |
| 2020 | IJCNN | Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks. | Stefan Oehmcke, Thomas Teusch, Thorben Petersen, Thorsten Klner, Oliver Kramer |
| 2019 | CEC | Evolution of Stacked Autoencoders. | Tim Silhan, Stefan Oehmcke, Oliver Kramer |
| 2018 | ICANN | Direct Training of Dynamic Observation Noise with UMarineNet. | Stefan Oehmcke, Oliver Zielinski, Oliver Kramer |
| 2018 | KI | Knowledge Sharing for Population Based Neural Network Training. | Stefan Oehmcke, Oliver Kramer |
| 2017 | ICONIP | Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks. | Wei Lee Woon, Stefan Oehmcke, Oliver Kramer |
| 2017 | IJCNN | Manifold learning with iterative dimensionality photo-projection. | Daniel Lckehe, Stefan Oehmcke, Oliver Kramer |
| 2017 | IJCNN | Recurrent neural networks and exponential PAA for virtual marine sensors. | Stefan Oehmcke, Oliver Zielinski, Oliver Kramer |
| 2016 | IJCNN | kNN ensembles with penalized DTW for multivariate time series imputation. | Stefan Oehmcke, Oliver Zielinski, Oliver Kramer |
| 2015 | KI | Event Detection in Marine Time Series Data. | Stefan Oehmcke, Oliver Zielinski, Oliver Kramer |