Wasserstein Adversarial Imitation Learning 19. June 2019 • Publications Wasserstein Adversarial Imitation Learning Huang Xiao, Michael Herman, Joerg Wagner, Sebastian Ziesche, Jalal Etesami, Thai Hong Linh arXiv preprint arXiv:1906.08113, June 19, 2019 […]
Classifying Road Intersections Using Transfer-Learning on… 23. November 2018 • Publications Classifying Road Intersections Using Transfer-Learning on a Deep Neural Network Ulrich Baumann, Yuan-Yao Huang, Claudius Gläser, Michael Herman, Holger Banzhaf, J. Marius Zöllner […]
Functionally Modular and Interpretable Temporal Filtering… 17. November 2018 • Publications Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke 29th British Machine Vision Conference, 2018, […]
Predicting ego-vehicle paths from environmental observations… 1. June 2018 • Publications Predicting ego-vehicle paths from environmental observations with a deep neural network Ulrich Baumann, Claudius Gläser, Michael Herman, J. Marius Zöllner IEEE International Conference […]
Hierarchical Recurrent Filtering for Fully Convolutional… 7. May 2018 • Publications Hierarchical Recurrent Filtering for Fully Convolutional DenseNets Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke European Symposium on Artificial Neural Networks, Computational Intelligence […]
