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Publications

Displaying results 21 to 30 of 646.

  1. Tobias Wirth; Andrey Guzhov; Matthias Müller; Tobias Fischer; Lucas Howes; Dominik Ospelt

    AI combats Cybercrime - Deep Learning for Forensics

    In: Future Insight e.V. (Hrsg.). Curious 2024. Curious - Future Insight Conference (Curious-2024), July 10-11, Mainz, Germany, www.curiousfutureinsight.org, 7/2024.

  2. René Klaus Nikiel; Meghdad Mirabi; Carsten Binnig

    TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework

    In: 2024 54rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2024). Workshop on Dependable and Secure Machine Learning (DSML-2024), located at DSN 2024, June 24, Brisbane, Queensland, Australia, ISBN 979-8-3503-9572-3, IEEE, 2024.

  3. Neda Foroutan; Markus Schröder; Andreas Dengel

    CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction

    In: Proceedings of Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2024). Konferenz zur Verarbeitung natürlicher Sprache (KONVENS-2024), September 10-13, Vienna, Austria, KONVENS 2024 Organizers, 2024.

  4. Nabeel Khalid; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    Bounding Box is all you need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  5. Nabeel Khalid; Mohammadmahdi Koochali; Duway Nicolas Lesmes Leon; Maria Caroprese; Gillian Lovell; Daniel A Porto; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    CellGenie: An end-to-end Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images

    In: 28th UK Conference on Medical Image Understanding and Analysis - MIUA. Medical Image Understanding and Analysis (MIUA-2024), Spriner Nature, 8/2024.

  6. Nabeel Khalid; Maria Caropresse; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images

    In: 33rd International Conference on Artificial Neural Networks ICANN. International Conference on Artificial Neural Networks (ICANN-2024), September 17-20, Lugano, Switzerland, Springer Nature, Switzerland, 9/2024.

  7. Mhd Rashed Al Koutayni; Gerd Reis; Didier Stricker

    DeepEdgeSoC: End-to-end deep learning framework for edge IoT devices

    In: Internet of Things, Vol. 21, Pages 1-18, Elsevier, 4/2023.

  8. Tahira Shehzadi; Shalini Sarode; Didier Stricker; Muhammad Zeshan Afzal

    Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer

    In: International Conference on Document Analysis and Recognition (ICDAR-2024). International Conference on Document Analysis and Recognition (ICDAR-2024), Athens, Greece, No. 1-15, Springer, 2024, 2024.

  9. Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Marcus Liwicki; Muhammad Zeshan Afzal

    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 (ICDAR-2023), Pages 51-76, Springer Nature Switzerland, San Jose, USA, 8/2023.

  10. Iqraa Ehsan; Tahira Shehzadi; Didier Stricker; Muhammad Zeshan Afzal

    End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents

    In: International Journal on Document Analysis and Recognition (IJDAR), Vol. 1, Pages 1-15, Springer, 2024, Athens, Greece, 9/2024.

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