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Publikationen

Zeige Ergebnisse 1381 bis 1390 von 14766.

  1. Mohammad Minouei; Mohammad Reza Soheili; Didier Stricker (Hrsg.)

    Embedding Layout in Text for Document Understanding Using Large Language Models

    International Conference on Document Analysis and Recognition (ICDAR-2024), Springer, Cham, 2024.

  2. Christian Wolff; Elke Warmerdam; Tim Dahmen; Tim Pohlemann; Philipp Slusallek; Bergita Ganse

    Novel ground reaction force-based parameters for monitoring rehabilitation in tibial fractures

    In: Gait & Posture, Vol. 113, Pages 256-257, Elsevier, 2024.

  3. Leonhard Kunz; Manuel Reif; Teresa Petzsche; Anne Schmallenbach; Christiane Plociennik; Martin Ruskowski

    Realizing Closed-Loop Supply Chain Networks based on Dataspaces and Manufacturing Marketplaces

    In: IFAC-PapersOnLine. IFAC Symposium on Information Control Problems in Manufacturing (INCOM-2024), Pages 235-240, Vol. 58, Elsevier, 1/2024.

  4. Ahmed Tawfik Aboukhadra; Nadia Robertini; Jameel Malik; Ahmed Elhayek; Gerd Reis; Didier Stricker

    SurgeoNet: Realtime 3D Pose Estimation of Articulated Surgical Instruments from Stereo Images using a Synthetically-trained Network

    In: Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Proceedings. German Conference on Pattern Recognition (GCPR-2024), September 10-13, Munich, Germany, Lecture Notes in Computer Science, Vol. 15297, Springer Nature, 2024.

  5. Joscha Grüger

    Process Mining for Healthcare: Discover Beyond Discovery

    PhD-Thesis, Universität Trier, 2024.

  6. 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.

  7. Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina; Kristian Kersting

    Adaptive Rational Activations to Boost Deep Reinforcement Learning

    In: Proceedings of the International Conference on Representation Learning (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview.net, 2024.

  8. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

    In: International Conference on Learning Representations (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview, 2024.

  9. Lukas Struppek; Minh Hieu Le; Dominik Hintersdorf; Kristian Kersting

    Exploring the Adversarial Capabilities of Large Language Models

    2024.

  10. Saurabh Mathur; Veerendra P. Gadekar; Rashika Ramola; Peixin Wang; Ramachandran Thiruvengadam; David M. Haas; Shinjini Bhatnagar; Nitya Wadhwa; Garbhini Study Group; Predrag Radivojac; Himanshu Sinha; Kristian Kersting; Sriraam Natarajan

    Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources

    In: Joseph Finkelstein; Robert Moskovitch; Enea Parimbelli (Hrsg.). Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I. Conference on Artificial Intelligence in Medicine (AIME), Pages 293-302, Lecture Notes in Computer Science, Vol. 14844, Springer, 2024.

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