| Stylistic Locomotion Modeling with Conditional Variational Autoencoder. H Du, E Herrmann, J Sprenger, N Cheema, S Hosseini, K Fischer, ... Eurographics (Short Papers), 9-12, 2019 | 25 | 2019 |
| Stylistic locomotion modeling and synthesis using variational generative models H Du, E Herrmann, J Sprenger, K Fischer, P Slusallek Proceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and …, 2019 | 21 | 2019 |
| Agent-based Web Supported Simulation of Human-robot Collaboration. A Antakli, T Spieldenner, D Rubinstein, D Spieldenner, E Herrmann, ... WEBIST, 88-99, 2019 | 18 | 2019 |
| Joint angle data representation for data driven human motion synthesis H Du, M Manns, E Herrmann, K Fischer Procedia CIRP 41, 746-751, 2016 | 17 | 2016 |
| Accelerating statistical human motion synthesis using space partitioning data structures E Herrmann, M Manns, H Du, S Hosseini, K Fischer Computer Animation and Virtual Worlds 28 (3-4), e1780, 2017 | 15 | 2017 |
| Scaled functional principal component analysis for human motion synthesis H Du, S Hosseini, M Manns, E Herrmann, K Fischer Proceedings of the 9th International Conference on Motion in Games, 139-144, 2016 | 14 | 2016 |
| Dilated temporal fully-convolutional network for semantic segmentation of motion capture data N Cheema, S Hosseini, J Sprenger, E Herrmann, H Du, K Fischer, ... arXiv preprint arXiv:1806.09174, 2018 | 10 | 2018 |
| Interactive planning of manual assembly operations: from language to motion S Busemann, J Steffen, E Herrmann Procedia CIRP 41, 224-229, 2016 | 8 | 2016 |
| Optimized coordination and simulation for industrial human robot collaborations A Antakli, T Spieldenner, M Köster, J Groß, E Herrmann, D Rubinstein, ... Web Information Systems and Technologies: 15th International Conference …, 2020 | 6 | 2020 |
| Fine-grained semantic segmentation of motion capture data using dilated temporal fully-convolutional networks N Cheema, S Hosseini, J Sprenger, E Herrmann, H Du, K Fischer, ... arXiv preprint arXiv:1903.00695, 2019 | 5 | 2019 |
| Motion Data and Model Management for Applied Statistical Motion Synthesis. E Herrmann, H Du, A Antakli, D Rubinstein, R Schubotz, J Sprenger, ... STAG, 79-88, 2019 | 5 | 2019 |
| Adaptive gaussian mixture trajectory model for physical model control using motion capture data E Herrmann, H Du, N Cheema, J Sprenger, S Hosseini, K Fischer, ... Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and …, 2019 | 2 | 2019 |
| Embodied online dance learning objectives of CAROUSEL+ K Mitchell, B Koniaris, M Tamariz, J Kennedy, N Cheema, E Mekler, ... 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and …, 2021 | 1 | 2021 |
| Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data C Noshaba, S Hosseini, J Sprenger, E Herrmann, H Du, K Fischer, ... The Eurographics Association, 2018 | 1 | 2018 |
| Learning Symmetric Locomotion using Cumulative Fatigue for Reinforcement Learning R Xu, N Cheema, E Herrmann, P Hämäläinen, P Slusallek | | 2021 |
| Towards Fatigue Modeling for Locomotion Tasks RUI XU, N CHEEMA, E HERRMANN, P SLUSALLEK | | 2021 |
| Optimized Coordination and Simulation for Industrial Human Robot Collaborations E Herrmann, D Rubinstein, D Spieldenner, I Zinnikus Web Information Systems and Technologies: 15th International Conference …, 2020 | | 2020 |
| Learning a Continuous Control of Motion Style from Natural Examples J Sprenger, H Du, N Cheema, E Herrmann, K Fischer, P Slusallek Proceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and …, 2019 | | 2019 |
