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Publikationen

Zeige Ergebnisse 711 bis 720 von 15191.

  1. Daniel Geißler; Bo Zhou; Paul Lukowicz

    Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition

    In: IEEE PerCom 2025 Proceedings (Hrsg.). IEEE PerCom. International Conference on Supercomputing (ICS), IEEE, 2025.

  2. Shalini Sarode; Muhammad Saif Ullah Khan; Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal

    Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies

    In: Intelligent Systems and Applications. Intelligent Systems Conference (IntelliSys-2025), 11th Intelligent Systems Conference 2025, Amsterdam, Netherlands, Springer Nature Switzerland, 8/2025.

  3. Muhammad Saif Ullah Khan; Stephan Krauß; Didier Stricker

    Towards Unconstrained 2D Pose Estimation of the Human Spine

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. International Workshop on Computer Vision in Sports (CVsports-2025), 11th International Workshop, located at CVPR 2025, June 11-15, Nashville, TN, USA, IEEE/CVF, 6/2025.

  4. Ashitha Mudraje; Brian Moser; Stanislav Frolov; Andreas Dengel

    Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution

    In: IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2025), August 3-8, BRISBANE, Australia, IEEE, 2025.

  5. Ryugo Morita; Stanislav Frolov; Brian Moser; Takahiro Shirakawa; Ko Watanabe; Andreas Dengel; Jinjia Zhou

    TKG-DM: Training-free Chroma Key Content Generation Diffusion Model

    In: The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2025), June 11-15, Nashville, Tennessee, USA, IEEE, 2025.

  6. Brian Moser; Federico Raue; Tobias Christian Nauen; Stanislav Frolov; Andreas Dengel

    Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2025), International Joint Conference on Neural Networks, June 30 - July 5, Rome, Italy, IEEE, 2025.

  7. Miro Miranda Lorenz; Francisco Mena; Andreas Dengel

    An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks

    In: IDA 2025. International Symposium on Intelligent Data Analysis (IDA-2025), May 7-9, Konstanz, Germany, Springer, 5/2025.

  8. Tobias Dreesbach; Katarzyna Olszynska; Tim Farke; Enrico Kochon; Christoph Heinbach

    Entwicklung eines Augmented-Reality-Prototyps zur Optimierung der Instandhaltung von Wechselbrücken

    In: HMD - Praxis der Wirtschaftsinformatik (HMD), Vol. HMD, Pages 1-14, Springer Nature, 4/2025.

  9. Lars-Peter Meyer; Johannes Frey; Desiree Heim; Felix Brei; Claus Stadler; Kurt Junghanns; Michael Martin

    LLM-KG-Bench 3.0: A Compass for Semantic Technology Capabilities in the Ocean of LLMs

    In: The Semantic Web. Extended Semantic Web Conference (ESWC-2025), June 1-5, Portoroz, Slovenia, Pages 280-296, Vol. 15719, ISBN 978-3-031-94578-6, Springer Nature Switzerland, Cham, 5/2025.

  10. David Antony Selby; Maximilian Sprang; Jan Ewald; Sebastian Vollmer

    Beyond the black box with biologically informed neural networks

    In: Linda Koch (Hrsg.). Nature Reviews Genetics (Nat Rev Genet), Vol. NA, Pages NA-NA, Springer Nature, 3/2025.

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