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Publications

Displaying results 311 to 320 of 668.

  1. Vitor Fortes Rey; Kamalveer Kaur Garewal; Paul Lukowicz

    Translating Videos into Synthetic Training Data for Wearable Sensor-Based Activity Recognition Systems Using Residual Deep Convolutional Networks.

    In: Applied Sciences, Vol. 11, No. 7, Pages 1-31, MDPI, 2021.

  2. Jens Popper; Vassilios Yfantis; Martin Ruskowski (Hrsg.)

    Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning

    CIRP Conference on Manufactoring Systems (CIRP CMS-2021), 54th CIRP Conference on Manufacturing Systems, 2021, located at CIRP, September 22-24, Athens, Greece, ELSEVIER, 2021.

  3. Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)

    Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints

    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, located at 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, October 7-8, Belle Mare, Mauritius, IEEE, 2021.

  4. Shoya Ishimaru; Kensuke Hoshika; Kai Kunze; Koichi Kise; Andreas Dengel

    Towards Reading Trackers in the Wild: Detecting Reading Activities by EOG Glasses and Deep Neural Networks

    In: the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2017), the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 11-15, Maui, Hawaii, USA, Pages 704-111, ISBN 978-1-4503-5190-4, ACM, 9/2017.

  5. Luis Espinosa Anke; Thierry Declerck; Dagmar Gromann (Hrsg.)

    The Third Workshop on Semantic Deep Learning (SemDeep-3)

    Workshop on Semantic Deep Learning (SemDeep-2018), located at The 27th International Conference on Computational Linguistics (COLING 2018), August 20, Santa Fe, New Mexico, USA, ISBN 978-1-948087-56-8, The COLING 2018 Organizing Committee, 8/2018.

  6. Akansha Bhardwaj; Dominik Mercier; Andreas Dengel; Sheraz Ahmed

    DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction

    In: ICDAR. International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2017.

  7. Muhammad Zeshan Afzal; Andreas Kölsch; Sheraz Ahmed; Marcus Liwicki

    Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification

    In: ICADR. International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2017.

  8. Ayushman Dash; Amit Sahu; Rajveer Shringi; John Gamboa; Muhammad Zeshan Afzal; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    AirScript - Creating Documents in Air

    In: ICDAR. International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2017.

  9. Sebastian Schreiber; Sheraz Ahmed; Stefan Agne; Ivo Wolf; Andreas Dengel

    DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images

    In: ICDAR. International Conference on Document Analysis and Recognition (ICDAR-2047), IEEE, 2017.

  10. Sebastian Palacio; Joachim Folz; Jörn Hees; Federico Raue; Damian Borth; Andreas Dengel

    What do Deep Networks Like to See?

    In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2018), located at CVPR, June 18-22, Salt Lake City, Utah, USA, IEEE, 2018.

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