Sparse representation-based archetypal graphs for spectral clustering. - Ribana Roscher; Lukas Drees; Susanne Wenzel (IGARSS, 2017)

Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification. - Lukas Drees; Ribana Roscher; Susanne Wenzel (CoRR, 2018)

Temporal prediction and evaluation of Brassica growth in the field using conditional generative adversarial networks. - Lukas Drees; Laura Verena Junker-Frohn; Jana Kierdorf; Ribana Roscher (Comput. Electron. Agric., 2021)

Time Dependent Image Generation of Plants from Incomplete Sequences with CNN-Transformer. - Lukas Drees; Immanuel Weber; Marc Rußwurm; Ribana Roscher (GCPR, 2022)

Probabilistic Biomass Estimation with Conditional Generative Adversarial Networks. - Johannes Leonhardt; Lukas Drees; Peter Jung 001; Ribana Roscher (GCPR, 2022)

Controlled Multi-modal Image Generation for Plant Growth Modeling. - Miro Miranda; Lukas Drees; Ribana Roscher (ICPR, 2022)

Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks. - Jana Kierdorf; Immanuel Weber; Anna Kicherer; Laura Zabawa; Lukas Drees; Ribana Roscher (Frontiers Artif. Intell., 2022)

Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification. - Johannes Leonhardt; Lukas Drees; Jürgen Gall; Ribana Roscher (DAGM, 2023)

Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks. - Lukas Drees; Dereje T. Demie; Madhuri R. Paul; Johannes Leonhardt; Sabine J. Seidel; Thomas F. Döring; Ribana Roscher (CoRR, 2023)

Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction. - Jana Kierdorf; Timo T. Stomberg; Lukas Drees; Uwe Rascher; Ribana Roscher (Frontiers Artif. Intell., 2024)

Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks. - Johannes Dollinger; Damien Robert 002; Elena Plekhanova; Lukas Drees; Jan Dirk Wegner (CoRR, 2025)