| Digital reality: a model-based approach to supervised learning from synthetic data T Dahmen, P Trampert, F Boughorbel, J Sprenger, M Klusch, K Fischer, ... AI Perspectives 1, 1-12, 2019 | 29 | 2019 |
| 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 | 20 | 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 |
| 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 |
| Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task A Poibrenski, J Sprenger, C Müller Proceedings of the 1st International Workshop on Software Engineering for AI …, 2018 | 10 | 2018 |
| Natural posture blending using deep neural networks F Gaisbauer, J Lehwald, J Sprenger, E Rukzio Proceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and …, 2019 | 6 | 2019 |
| Capturing subtle motion differences of pedestrian street crossings J Sprenger, H Kilger, C Müller, P Slusallek, S Malone Proceedings of the 32nd International Conference on Computer Animation and …, 2019 | 6 | 2019 |
| Pedestrian behavior in japan and germany: A review L Hell, J Sprenger, M Klusch, Y Kobayashi, C Müller 2021 IEEE Intelligent Vehicles Symposium (IV), 1529-1536, 2021 | 5 | 2021 |
| 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 |
| Variational Interpolating Neural Networks for Locomotion Synthesis L Hanson DHM2020: Proceedings of the 6th International Digital Human Modeling …, 2020 | 1 | 2020 |
| How machine perception relates to human perception: visual saliency and distance in a frame-by-frame semantic segmentation task for highly/fully automated driving N Herbig, F Wiehr, A Poibrenski, J Sprenger, C Müller Proceedings of the 1st International Workshop on Software Engineering for AI …, 2018 | 1 | 2018 |
| 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 |
| Cross-Cultural Behavior Analysis of Street-Crossing Pedestrians in Japan and Germany J Sprenger, L Hell, M Klusch, Y Kobayashi, S Kudo, C Müller 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | | 2023 |
| 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 |
