Category A*
- Bodo Rosenhahn, Optimization of Sparsity-Constrained Neural Networks as a Mixed Integer Linear Program, Journal of Optimization Theory and Applications (JOTA), Springer Nature, pp. 1-24, October 2023
https://doi.org/10.1007/s10957-023-02317-x - Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer Contextualize, Me - The Case for Context in Reinforcement, Learning Transactions on Machine Learning Research, June 2023
https://doi.org/10.48550/arXiv.2202.04500 - Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer, POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement, Learning Transactions on Machine Learning Research, April 2023
https://doi.org/10.48550/arXiv.2205.11357 - Yuren Cong, Michael Yang, Bodo Rosenhahn, RelTR: Relation Transformer for Scene Graph Generation, IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2023
10.1109/TPAMI.2023.3268066 - Duy Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda, LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking, Computer Vision and Pattern Recognition (CVPR), IEEE, pp. 1-10, New Orleans, June 2022
https://doi.org/10.48550/arXiv.2111.11892 - Christoph Reinders, Frederik Schubert, Bodo Rosenhahn Chimera, Mix: Image Classification on Small Datasets via Masked Feature Mixing, 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI), 2022
https://doi.org/10.48550/arXiv.2202.11616 - Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt, Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows, International Conference on Computer Vision (ICCV), IEEE, October 2021
https://doi.org/10.48550/arXiv.2107.13788 - Andrea Hornakova*, Timo Kaiser*, Michal Rolinek, Bodo Rosenhahn, Paul Swoboda, Roberto Henschel, (* equal contribution), Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths, International Conference on Computer Vision (ICCV), IEEE, October 2021
https://doi.org/10.48550/arXiv.2108.10606 - Yuren Cong, Wentong Liao, Hanno Ackermann, Michael Yang Yang, Bodo Rosenhahn, Spatial-Temporal Transformer for Dynamic Scene Graph Generation, International Conference on Computer Vision (ICCV), July 2021
https://doi.org/10.48550/arXiv.2107.12309 - Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn, CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild, Computer Vision and Pattern Recognition (CVPR), IEEE, Virtual, June 2021
https://doi.org/10.48550/arXiv.2011.14679
Category B*
Several software contributions, e.g. available at github, Selection:
- https://github.com/marco-rudolph/differnet
- https://github.com/marco-rudolph/AST
- https://github.com/marco-rudolph/cs-flow
- https://github.com/fkluger/cuboids_revisited
- https://github.com/fkluger/consac
- https://github.com/Mawiszus/TOAD-GAN
- https://github.com/Mawiszus/World-GAN
- https://github.com/creinders/ChimeraMix
- https://github.com/automl/CARL
- https://github.com/creinders/ClusteringAlgorithmsFromScratch
- https://github.com/m-schier/cms
- https://github.com/m-schier/Heterogeneous-Graph-RL
- https://github.com/m-schier/CarEnv
*Description of the categories according to the specifications of the German Research Foundation
Category A
scientific or scholarly papers published in peer-reviewed journals, peer reviewed contributions to conferences or anthology volumes, and book publications
Category B
any other form of published research results, data sets, protocols of clinical trials, software packages, patents applied for and granted, blog contributions, other forms of scientific or scholarly output
