| 2024 | ECCV | A Framework for Enhanced Decision Support in Digital Agriculture Using Explainable Machine Learning. | Ahmed Emam, Mohamed M. Farag, Jana Kierdorf, Lasse Klingbeil, Uwe Rascher, Ribana Roscher |
| 2022 | ICPR | Controlled Multi-modal Image Generation for Plant Growth Modeling. | Miro Miranda, Lukas Drees, Ribana Roscher |
| 2022 | IGARSS | Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning. | Surbhi Sharma, Ribana Roscher, Morris Riedel, M. Shahbaz Memon, Gabriele Cavallaro |
| 2022 | IGARSS | Augmented Aerial Reality: On Fusing Synthetic and Real Airborne Imagery for Object Detection. | Immanuel Weber, Jens Bongartz, Ribana Roscher |
| 2022 | IGARSS | Occlusion Sensitivity Analysis of Neural Network Architectures for Eddy Detection. | Eike Bolmer, Adili Abulaitijiang, Jrgen Kusche, Ribana Roscher |
| 2021 | IGARSS | ArtifiVe-Potsdam: A Benchmark for Learning with Artificial Objects for Improved Aerial Vehicle Detection. | Immanuel Weber, Jens Bongartz, Ribana Roscher |
| 2021 | IROS | Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks. | Benedikt Mersch, Thomas Hllen, Kun Zhao, Cyrill Stachniss, Ribana Roscher |
| 2020 | ECCV | Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks. | Jonas Bmer, Laura Zabawa, Philipp Sieren, Anna Kicherer, Lasse Klingbeil, Uwe Rascher, Onno Muller, Heiner Kuhlmann, Ribana Roscher |
| 2020 | ICML | A Whale's Tail - Finding the Right Whale in an Uncertain World. | Diego Marcos, Jana Kierdorf, Ted Cheeseman, Devis Tuia, Ribana Roscher |
| 2019 | CVPR | Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. | Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Tpfer, Heiner Kuhlmann, Ribana Roscher |
| 2019 | IGARSS | Detection of Anomalous Grapevine Berries Using All-Convolutional Autoencoders. | Laurenz Strothmann, Uwe Rascher, Ribana Roscher |
| 2019 | IGARSS | Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks. | Alina Frster, Jens Behley, Jan Behmann, Ribana Roscher |
| 2018 | IGARSS | Ocean Eddy Identification and Tracking Using Neural Networks. | Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jrgen Kusche |
| 2017 | IGARSS | Sparse representation-based archetypal graphs for spectral clustering. | Ribana Roscher, Lukas Drees, Susanne Wenzel |
| 2015 | IGARSS | Landcover classification with self-taught learning on archetypal dictionaries. | Ribana Roscher, Christoph Rmer, Bjrn Waske, Lutz Plmer |
| 2015 | IGARSS | Spatio-temporal altimeter waveform retracking via sparse representation and conditional random fields. | Ribana Roscher, Bernd Uebbing, Jrgen Kusche |
| 2014 | IGARSS | Superpixel-based classification of hyperspectral data using sparse representation and conditional random fields. | Ribana Roscher, Bjrn Waske |
| 2011 | IGARSS | Import vector machines based classification of multisensor remote sensing data. | Bjrn Waske, Ribana Roscher, Sascha Klemenjak |
| 2010 | ACCV | High Dimensional Correspondences from Low Dimensional Manifolds - An Empirical Comparison of Graph-Based Dimensionality Reduction Algorithms. | Ribana Roscher, Falko Schindler, Wolfgang Frstner |