| 2018 | BMVC | Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. | Jrg Wagner, Volker Fischer, Michael Herman, Sven Behnke |
| 2018 | ESANN | Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. | Jrg Wagner, Volker Fischer, Michael Herman, Sven Behnke |
| 2018 | ICRA | Predicting Ego-Vehicle Paths from Environmental Observations with a Deep Neural Network. | Ulrich Baumann, Claudius Guiser, Michael Herman, J. Marius Zllner |
| 2017 | AAAI | I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior. | Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin A. Rothkopf |
| 2017 | ESANN | Learning Semantic Prediction using Pretrained Deep Feedforward Networks. | Jrg Wagner, Volker Fischer, Michael Herman, Sven Behnke |
| 2016 | AISTATS | Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics. | Michael Herman, Tobias Gindele, Jrg Wagner, Felix Schmitt, Wolfram Burgard |
| 2016 | ESANN | Simultaneous estimation of rewards and dynamics from noisy expert demonstrations. | Michael Herman, Tobias Gindele, Jrg Wagner, Felix Schmitt, Wolfram Burgard |
| 2016 | ESANN | Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks. | Jrg Wagner, Volker Fischer, Michael Herman, Sven Behnke |
| 2016 | SMC | Exact Maximum Entropy Inverse Optimal Control for modeling human attention switching and control. | Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, Rainer Stiefelhagen |
| 2015 | ICRA | Inverse reinforcement learning of behavioral models for online-adapting navigation strategies. | Michael Herman, Volker Fischer, Tobias Gindele, Wolfram Burgard |