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Publications

Displaying results 541 to 550 of 579.

  1. 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.

  2. 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.

  3. Timo Kepp; Christine Droigk; Malte Casper; Michael Evers; Gereon Hüttmann; Nunciada Salma; Dieter Manstein; Mattias P. Heinrich; Heinz Handels

    Segmentation of mouse skin layers in optical coherence tomography image data using deep convolutional neural networks

    In: Christoph Hitzenberger (Hrsg.). Biomedical Optics Express, Vol. 10, No. 7, Pages 3484-3496, OSA, 7/2019.

  4. Timo Kepp; Helge Sudkamp; Claus von der Burchard; Hendrik Schenke; Peter Koch; Gereon Hüttmann; Johann Roider; Mattias P Heinrich; Heinz Handels

    Segmentation of retinal low-cost optical coherence tomography images using deep learning

    In: Horst K. Hahn; Maciej A. Mazurowski (Hrsg.). Medical Imaging 2020: Computer-Aided Diagnosis. SPIE Medical Imaging, located at SPIE medical Imaging, February 15-20, Houston, Texas, USA, Vol. 11314, ISBN 978151063395, SPIE, 2020.

  5. Muhammad Ahmed; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

    In: Radu Danescu (Hrsg.). Sensors - Open Access Journal (Sensors), Vol. 21, No. 15, Pages 1-30, MDPI, 2021.

  6. Khurram Azeem Hashmi; Jwalin Bhatt; Muhammad Zeshan Afzal; Didier Stricker

    A Survey of Graphical Page Object Detection with Deep Neural Networks

    In: Applied Sciences, Vol. 11, No. 12, Pages 1-21, MDPI, Basel, Switzerland, 6/2021.

  7. Noshaba Cheema

    In Silico User Testing for Mid-Air Interactions with Deep Reinforcement Learning

    Mastersthesis, Saarland University, 9/2019.

  8. Viktor Eisenstadt; Hardik Arora; Christoph Ziegler; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

    Exploring optimal ways to represent topological and spatial features of building designs in deep learning methods and applications for architecture

    In: CAADRIA 2021 Proceedings. International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA-2021), March 29 - April 1, Hong Kong/Virtual, Hong Kong, Cumincad, 2021.

  9. Sk Aziz Ali; Kerem Kahraman; Gerd Reis; Didier Stricker

    RPSRNet: End-to-End Trainable Rigid Point Set Registration Network usingBarnes-Hut 2^D-Tree Representation

    In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2021), June 19-25, Virtual, IEEE, 6/2021.

  10. Ahmet Firintepe; Carolin Vey; Stylianos Asteriadis; Alain Pagani; Didier Stricker

    From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation

    In: Nadia Magnenat Thalmann (Hrsg.). Journal of Imaging, Vol. 7, No. 80, Pages 1-18, MDPI, 4/2021.

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