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Publikationen

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  1. Nora Muscholl; Atanas Poibrenski; Matthias Klusch; Patrick Gebhard

    SIMP3: Social Interaction-Based Multi-Pedestrian Path Prediction By Self-Driving Cars

    In: Proceedings of IEEE International Symposium on Computational Intelligence in Vehicles and Transportation Systems. IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (IEEE CIVTS-2020), located at 2020 IEEE Symposium Series on Computational Intelligence, December 1-4, Canberra, Australia, IEEE, 2020.

  2. André Antakli; Torsten Spieldenner; Marcel Köster; Julian Groß; Erik Herrmann; Dmitri Rubinstein; Daniel Spieldenner; Ingo Zinnikus

    Optimized Coordination and Simulation for Industrial Human Robot Collaborations

    In: Alessandro Bozzon; Jose Francisco and Dominguez Mayo; Joaquim and Filipe. Web Information Systems and Technologies. Pages 44-68, ISBN 978-3-030-61750-9, Springer International Publishing, 2020.

  3. Atanas Poibrenski; Matthias Klusch; Igor Vozniak; Christian Müller

    Multimodal Multi-Pedestrian Path Prediction for Autonomous Cars

    In: Applied Computing Review (JACR), Vol. 20, No. 4, ACM, 2020.

  4. Erik Herrmann; Han Du; André Antakli; Dmitri Rubinstein; René Schubotz; Janis Sprenger; Somayeh Hosseini; Noshaba Cheema; Ingo Zinnikus; Martin Manns; Klaus Fischer; Philipp Slusallek

    Motion Data and Model Management for Applied Statistical Motion Synthesis

    In: Marco Agus; Massimiliano Corsini; Ruggero Pintus (Hrsg.). Smart Tools and Applications in Computer Graphics 2019. Smart Tools and Applications in Computer Graphics (STAG-2019), November 14-15, Cagliari, Sardinia, Italy, Pages 79-88, ISBN 978-3-03868-100-7, The Eurographics Association, 11/2019.

  5. Han Du; Erik Herrmann; Janis Sprenger; Klaus Fischer; Philipp Slusallek

    Stylistic Locomotion Modeling and Synthesis using Variational Generative Models

    In: Hubert P. H. Shum; Edmond S. L. Ho; Marie-Paule Cani; Tiberiu Popa; Daniel Holden; He Wang (Hrsg.). Motion, Interaction and Games 2019. ACM SIGGRAPH Conference on Motion in Games (MIG-2019), October 28-30, Newcastle upon Tyne, United Kingdom, ISBN 978-1-4503-6994-7, ACM, New York, NY, USA, 10/2019.

  6. Noshaba Cheema

    In Silico User Testing for Mid-Air Interactions with Deep Reinforcement Learning

    Mastersthesis, Saarland University, 9/2019.

  7. Erik Herrmann; Han Du; Noshaba Cheema; Janis Sprenger; Somayeh Hosseini; Klaus Fischer; Philipp Slusallek

    Adaptive gaussian mixture trajectory model for physical model control using motion capture data

    In: Stephen N. Spencer; Sheldon Andrews; Natalya Tatarchuk (Hrsg.). Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D-2019), May 21-23, Montreal, QC, Canada, Pages 12:1-12:8, I3D '19, ISBN 978-1-4503-6310-5, ACM, New York, NY, USA, 5/2019.

  8. Noshaba Cheema

    Fine-Grained Semantic Segmentation of Motion Capture Data using Convolutional Neural Networks

    Mastersthesis, Saarland University, 3/2019.

  9. Florian Pusse; Matthias Klusch

    Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars

    In: 30th IEEE International Intelligent Vehicle Symposium (IV 2019). IEEE Intelligent Vehicles Symposium (IV-19), June 9-12, Paris, France, IEEE Press, 2019.

  10. Han Du; Erik Herrmann; Janis Sprenger; Noshaba Cheema; Somayeh Hosseini; Klaus Fischer; Philipp Slusallek

    Stylistic Locomotion Modeling with Conditional Variational Autoencoder

    In: Paolo Cignoni; Eder Miguel (Hrsg.). Eurographics2019. Eurographics (EG-2019), May 6-10, Genova, Italy, The Eurographics Association, 2019.