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Publikationen

Zeige Ergebnisse 1301 bis 1310 von 14474.

  1. Shefali Dewangan; Vamsi Krishna Origanti; Frank Kirchner

    Real-time Dynamic Gesture Recognition for Human-Robot Collaboration in Rescue Operations

    In: IEEE International Symposium on Safety, Security, and Rescue Robotics. IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR-2024), November 12-14, New York City, NY, USA, ISBN 979-8-3315-1095-4, IEEE, 11/2024.

  2. Martin Mallwitz; Daniel Weissenrieder; Vamsi Krishna Origanti; Tom Becker; Milan Sixt; Malika Helapita; Felix Bernhard; Christian Schoo; Miguel Martínez Genis; Fabian Maas genannt Bermpohl; Mehmed Yüksel; Frank Kirchner

    KRIS: A Robot for Material Transport in Relief Situations

    In: IEEE International Symposium on Safety, Security, and Rescue Robotics. IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR-2024), November 12-14, New York City, NY, USA, ISBN 979-8-3315-1095-4, IEEE, 11/2024.

  3. Devansh Srivastav; Thomas Kaltbach; Ahmer Akhtar Mughal; Nischal Giriyan; Moaz Bin Younus; Tobias Jungbluth; Jochen Britz; Jan Alexandersson; Maurice Rekrut

    Mindful Mobility: EEG-Based Brain-Computer Interaction for Elevator Control Using Muse Headset

    In: Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024). International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI-2024), November 27-30, Ulster University, Belfast, United Kingdom, Springer, 2024.

  4. Hoai-Chau Tran; Ho Minh Duy Nguyen; Duy M. Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Zou; Binh T. Nguyen; Mathias Niepert

    Accelerating Transformers with Spectrum-Preserving Token Merging

    In: The Thirty-Eighth Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), December 10-15, Canada, JMLR.org, 2024.

  5. Hoai-Chau Tran; Ho Minh Duy Nguyen; Manh-Duy Nguyen; Ngan Hoang Le; Binh T. Nguyen

    Energy Minimizing-based Token Merging for Accelerating Transformers

    In: International Conference on Learning Representations (ICLR), Practical ML for Low Resource Settings Workshop. International Conference on Learning Representations (ICLR), May 11-12, JMLR.org, 2024.

  6. Ho Minh Duy Nguyen; Nina Lukashina; Tai Nguyen; An T. Le; TrungTin Nguyen; Nhat Ho; Jan Peters; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert

    Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

    In: Proceedings of the 41st International Conference on Machine Learning. International Conference on Machine Learning (ICML), July 21-27, Austria, JMLR.org, 2024.

  7. Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski

    Semantic Asset Administration Shell for Circular Economy

    Mastersthesis, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), 2024.

  8. Jibinraj Antony; Vinit Vikas Hegiste; Ali Nazeri; Hooman Tavakoli Ghinani; Snehal Walunj; Christiane Plociennik; Martin Ruskowski

    Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios

    In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 90-105, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

  9. Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels

    LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

    In: Steve Pieper; Erik Ziegler; Tawa Idris; Bhanusupriya Somarouthu; Reuben Dorent; Gordon Harris; Ron Kikinis (Hrsg.). Machine Learning for Biomedical Imaging (MELBA), Vol. 2, No. MICCAI 2023 LNQ challenge special issue, Pages 817-833, MELBA Journal, 5/2024.

  10. Jana-Rebecca Rehse; Sander J. J. Leemans; Peter Fettke; Jan Martijn E. M. van der Werf

    On Process Discovery Experimentation: Addressing the Need for Research Methodology in Process Discovery

    In: ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 34, No. 1, Article No.: 3, Pages 1-29, Association for Computing Machinery, New York, 2024.

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