| 2022 | ICPR | Image Augmentations in Planetary Science: Implications in Self-Supervised Learning and Weakly-Supervised Segmentation on Mars. | Dominik Komann, Arthur Matei, Thorsten Wilhelm, Gernot A. Fink |
| 2022 | IGARSS | Machine Learning on Mars: Open Challenges, Similarities and Differences to Earth Remote Sensing. | Thorsten Wilhelm, Dominik Komann, Christian Whler |
| 2022 | IGARSS | Seasonet: A Seasonal Scene Classification, Segmentation and Retrieval Dataset for Satellite Imagery Over Germany. | Dominik Komann, Viktor Brack, Thorsten Wilhelm |
| 2021 | IGARSS | Land Cover Classification from a Mapping Perspective: Pixelwise Supervision in the Deep Learning Era. | Thorsten Wilhelm, Dominik Komann |
| 2021 | IGARSS | Generation of Attributes for Highly Imbalanced Land Cover Data. | Dominik Komann, Thorsten Wilhelm, Gernot A. Fink |
| 2020 | ICPR | Towards Tackling Multi-Label Imbalances in Remote Sensing Imagery. | Dominik Komann, Thorsten Wilhelm, Gernot A. Fink |
| 2020 | ICPR | Uncertainty Guided Recognition of Tiny Craters on the Moon. | Thorsten Wilhelm, Christian Whler |
| 2017 | DICTA | From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling. | Thorsten Wilhelm, Rene Grzeszick, Gernot A. Fink, Christian Whler |
| 2017 | ICIP | Boundary aware image segmentation with unsupervised mixture models. | Thorsten Wilhelm, Christian Whler |
| 2017 | IVCNZ | On the suitability of different probability distributions for the task of image segmentation. | Thorsten Wilhelm, Christian Whler |
| 2016 | DICTA | Flexible Mixture Models for Colour Image Segmentation of Natural Images. | Thorsten Wilhelm, Christian Whler |