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Publikationen

 

Aufgrund von Wartungsarbeiten ist die Suche von Publikationen nach Autor:innen derzeit nicht möglich.

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  1. Abdul Hannan Khan; Muhammad Shariq Nawaz; Andreas Dengel

    Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving

    In: The 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition …

  2. Towards end-to-end semi-supervised table detection with deformable transformer

    In: International Conference on Document Analysis and Recognition (ICDAR-2023). International Conference on Document Analysis and Recognition …

  3. Luis Octavio Arriaga Camargo; Sebastian Palacio; Matias Valdenegro-Toro

    Difficulty Estimation with Action Scores for Computer Vision Tasks

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

  4. Open Science Best Practices in Data Science and Artificial Intelligence

    In: York Sure-Vetter; Carole Goble (Hrsg.). Proceedings of the 1st Conference on Research Data Infrastructure (CoRDI 2023). Conference on Research …

  5. Sahar Abdelnabi; Amr Gomaa; Sarath Sivaprasad; Lea Schönherr; Mario Fritz

    Llm-deliberation: Evaluating llms with interactive multi-agent negotiation games

    In: ArXiv e-prints (arxiv), Vol. arXiv preprint arXiv:2309.17234, Pages 1-38, arxiv, 2023.

  6. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13453, Pages 0-10, arXiv, 2023.

  7. Matej Zecevic; Moritz Willig; Devendra Singh Dhami; Kristian Kersting

    Causal Parrots: Large Language Models May Talk Causality But Are Not Causal

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13067, Pages 0-10, arXiv, 2023.

  8. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.09490, Pages 0-10, arXiv, 2023.