Synthesis of Compositional Animations from Textual Descriptions
Authors: Anindita Ghosh, Noshaba Cheema, Cennet Oguz, Christian Theobalt, Philipp Slusallek. DFKI, Max-Planck Institute for Informatics, Saarland Informatics Campus
Publication: Proceedings of IEEE CVF. ICCV 2021
Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning
Authors: Noshaba Cheema, Laura A. Frey-Law, Kourosh Naderi, Jaakko Lehtinen, Philipp Slusallek, and Perttu Hämäläinen
Year of publication: 2020
Predicting Mid-Air Interaction Movements and Fatigue Using Deep Reinforcement Learning. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13.
Motion Data and Model Management for Applied Statistical Motion Synthesis
Authors: Herrmann, E., Du, H., Antalki, A., Rubinstein, D., Schubotz, R., Sprenger, J., Hosseini, S., Cheema, N., Zinnikus, I., Manns, M., Fischer, K. Slusallek, P.,
“Motion Data and Model Management for Applied Statistical Motion Synthesis” In: Proceedings of the Conference on Smart Tools and Applications in Computer Graphics. Eurographics Association, 2019.
Learning a Continuous Control of Motion Style from Natural Examples
Authors: Sprenger, J., Du, H., Cheema, N. Herrmann, E., Fischer, K., Slusallek, P. Learning a Continuous Control of Motion Style from Natural Examples. In Motion, Interaction and Games (MIG ’19).
Date of publication: October 28–30, 2019, Newcastle upon Tyne, United Kingdom.
Adaptive Gaussian Mixture Trajectory Model for Physical Model Control using Motion Capture Data
Authors: Herrmann, E., Du, H., Cheema, N., Sprenger, J., Hosseini, S., Fischer, K.
Publication: In ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2019.
Stylistic Locomotion Modeling and Synthesis using Variational Generative Models
Authors: Du, H., Herrmann, E., Sprenger, J., Fischer, K., Slusallek, P. Stydivstic
Publication: In Motion, Interaction and Games (MIG ’19), October 28–30, 2019, Newcastle upon Tyne, United Kingdom.
Stylistic Locomotion Modeling with Conditional Variational Autoencoder
Authors: Du, H., Herrmann, E., Sprenger, J., Cheema, N., Hosseini, S., Fischer, K., Slusallek, P.
Publication: In Eurographics 2019 – Shorts.
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks
Authors: Cheema, N., Hosseini, S., Sprenger, J., Herrmann, E., Du, H., Fischer, K., Slusallek, P.
Publication: In Eurographics 2019 – Shorts.
Dilated temporal fully-convolutional network for semantic segmentation of motion capture data.”
Authors: Cheema, N., Hosseini, S., Sprenger, S., Herrmann, E., Du, H., Fischer, K., Slusallek, P.
Publication: arXiv preprint arXiv:1806.09174 (2018).
Sprenger, Janis, et al. “Körperbewegungen von Fußgängern vor dem Überqueren von Straße”. 2018. Abstracts 3. Kongress der Fachgruppe Verkehrspsychologie “Mehr Mensch im Verkehr?” bei der Universität des Saarlands, Lehrstuhl für Empirische Bildungsforschung 5.7.03.2019. In: Vollrath, Mark.
Sprenger, Janis, et al. “Das Verhalten von Fußgängern im Kontext des Autonomen Fahrens: eine Metaanalyse”. 2018. Abstracts 3. Kongress der Fachgruppe Verkehrspsychologie “Mehr Mensch im Verkehr?” bei der Universität des Saarlands, Lehrstuhl für Empirische Bildungsforschung 5.7.03.2019. In: Vollrath, Mark.
Dilated Temporal Fully-Convolutional Neural Network For Semantic Segmentation
Authors: Noshaba Chema, Somayeh Hosseini, Janis Sprenger, Erik Herrman, Han Du, Klaus Fischer & Philipp Slusallek
DFKI, Max-Planck Institute for Informatics, Saarland Informatics Campus, Germany
Publication: Publication: ACM SIGGRAPH/Eurographics Symposium on Computer Animation
CNRS Paris Michel Ange, Paris, France 11-13 July, 2018
Intelligent Distributed Human Motion Simulation in Human-Robot Collaboration Environments.
Authors: Antakli, A., Hermann, E., Zinnikus, I., Du, H., & Fischer, K. (2018, November).
Publication: In Proceedings of the 18th International Conference on Intelligent Virtual Agents (pp. 319-324). ACM.
Manns, Martin, et al. “A new approach to plan manual assembly.” International Journal of Computer Integrated Manufacturing 31.9 (2018): 907-920.
Accelerating statistical human motion synthesis using space partitioning data structures.
Authors: Herrmann E, Manns M, Du H, Hosseini S, Fischer K.
Comput Anim Virtual Worlds. 2017;e1780.
Scaled functional principal component analysis for human motion synthesis.
Authors: Du, H., Hosseini, S., Manns, M., Herrmann, E., & Fischer, K. (2016, October).
In Proceedings of the 9th International Conference on Motion in Games (pp. 139-144). ACM.