Human Motion Trajectory Prediction: A Survey 28. May 2020 • Publications Human Motion Trajectory Prediction: A Survey Andrey Rudenko, Luigi Palmieri, Michael Herman, Kris M Kitani, Dariu M Gavrila, Kai O Arras The International […]
Simultaneous estimation of rewards and dynamics… 28. January 2020 • Publications Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems Herman, Michael PhD Thesis, University of Freiburg, January 28, 2020 Abstract: As […]
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, […]
