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Publications

Displaying results 1831 to 1840 of 14859.

  1. Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting

    DeiSAM: Segment Anything with Deictic Prompting

    In: Proceedings of the 38th Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), Advances in Neural Information Processing Systems, 2024.

  2. Dominik Hintersdorf; Lukas Struppek; Daniel Neider; Kristian Kersting

    Defending Our Privacy with Backdoors

    In: ECAI 2024. European Conference on Artificial Intelligence (ECAI-2024), 27th European Conference on Artificial Intelligence, October 19-24, Santiago de Compostela, Spain, Vol. 392, ISBN 978-1-64368-548-9, IOS Press, 10/2024.

  3. Manuel Brack; Felix Friedrich; Katharina Kornmeier; Linoy Tsaban; Patrick Schramowski; Kristian Kersting; Apolinaros Passos

    LEDITS++: Limitless Image Editing using Text-to-Image Models

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2024), 2024.

  4. Nico Baumann

    Nutzung von LLMs zur Modellierung von ODD-BP Prozessen/Informationsmodell

    Mastersthesis, Universität Trier, 2025.

  5. Elias Kupke

    Nutzung von künstlicher Intelligenz in kaufmännischen Systemen

    Mastersthesis, Universität Trier, 2025.

  6. Leonard Richertz

    Optimizing AI-Human Collaboration in Multilanguage Web-Development: A Comparative Study

    Mastersthesis, Universität Trier, 2025.

  7. Christian Thurau; Kristian Kersting; Christian Bauckhage

    Convex Non-negative Matrix Factorization in the Wild

    In: Wei Wang; Hillol Kargupta; Sanjay Ranka; Philip S. Yu; Xindong Wu (Hrsg.). ICDM 2009, The Ninth IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2009), December 6-9, Miami, Flordia, USA, Pages 523-532, IEEE Computer Society, 2009.

  8. Marion Neumann; Kristian Kersting; Zhao Xu; Daniel Schulz

    Stacked Gaussian Process Learning

    In: Wei Wang; Hillol Kargupta; Sanjay Ranka; Philip S. Yu; Xindong Wu (Hrsg.). ICDM 2009, The Ninth IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM-2009), December 6-9, Miami, Florida, USA, Pages 387-396, IEEE Computer Society, 2009.

  9. Shubham Vyas; Lasse Shala; Anton Bredenbeck

    LQR for Free-Floating Robots: Theory and Experiments

    In: 17th Symposium on Advanced Space Technologies in Robotics and Automation. ESA/Estec Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2023), October 18-20, Leiden, Netherlands, ESA, 2023.

  10. Sungho Suh; Sojeong Cheon; Wonseo Choi; Yeon Woong Chung; Won-Kyung Cho; Ji-Sun Paik; Sung Eun Kim; Dong-Jin Chang; Yong Oh Lee

    Supervised segmentation with domain adaptation for small sampled orbital CT images

    In: Journal of Computational Design and Engineering (JCDE), Vol. 9, No. 2, Pages 783-792, Oxford University Press, 4/2022.

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