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Publications

Displaying results 521 to 530 of 682.

  1. Johannes Lahann; Martin Scheid; Peter Fettke

    Towards Optimal Free Trade Agreement Utilization through Deep Learning Techniques

    In: Tung Bui; Ralph Sprague (Hrsg.). Proceedings of the 53rd Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2020), January 7-10, Maui, HI, USA, ISBN 978-0-9981331-3-3, IEEE Computer Society, 2020.

  2. Dagmar Gromann; Luis Espinosa-Anke; Thierry Declerck; Jose Camacho-Collados; Mohammad Taher Pilehvar (Hrsg.)

    Proceedings of the 5th Workshop on Semantic Deep Learning

    Workshop on Semantic Deep Learning (SemDeep-2019), located at 28th International Joint Conference on Artificial Intelligence, August 10-16, Macao, China, ISBN 978-1-950737-19-2, Association for Computational Linguistics (ACL), Stroudsburg, PA 18360, USA, 8/2019.

  3. Yongzhi Su; Jason Raphael Rambach; Nareg Minaskan Karabid; Paul Lesur; Alain Pagani; Didier Stricker

    Deep Multi-State Object Pose Estimation for Augmented Reality Assembly

    In: Proceedings of the 18th IEEE ISMAR. IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2019), October 14-18, Beijing, China, IEEE, 2019.

  4. Tim Dahmen; Pavel Potocek; Patrick Trampert; Maurice Peemen; Remco Schoenmakers

    Sparse Scanning Electron Microscopy and Deep Learning for Imaging and Segmentation of Neuron Structures

    In: Microscopy & Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 8/2019.

  5. Tim Dahmen; Patrick Trampert; Faysal Boughorbel; Janis Sprenger; Matthias Klusch; Klaus Fischer; Christian Kübel; Philipp Slusallek

    Digital reality: a model-based approach to supervised learning from synthetic data

    In: AI Perspectives, Vol. 1, Pages 1-12, Springer, 2019.

  6. Patrick Trampert; Sabine Schlabach; Tim Dahmen; Philipp Slusallek

    Deep Learning for Sparse Scanning Electron Microscopy

    In: Microscopy and Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 2019.

  7. Muhammad Shoaib Ahmed Siddiqui; Imran Ali Fateh; Syed Tahseen Raza Rizvi; Andreas Dengel; Sheraz Ahmed

    DeepTabStR: Deep Learning based Table Structure Recognition

    In: IEEE (Hrsg.). International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition (ICDAR-2019), located at 15th, September 20-25, Sydney, Australia, IEEE, 2019.

  8. Junaid Younas; Syed Tahseen Raza Rizvi; Muhammad Imran Malik; Faisal Shafait; Paul Lukowicz; Sheraz Ahmed

    FFD: Figure and Formula Detection from Document Images

    In: IEEE (Hrsg.). 2019 International Conference on Digital Image Computing: Techniques and Applications (DICTA). International Conference on Digital Image Computing Techniques and Applications (DICTA-2019), 21st, December 2-4, Perth, WA, Australia, IEEE, 2019.

  9. Vitor Fortes Rey; Peter Hevesi; Onorina Kovalenko; Paul Lukowicz

    Let there be IMU data: generating training data for wearable, motion sensor based activity recognition from monocular RGB videos

    In: UbiComp/ISWC '19 Adjunct Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2019), September 9-14, London, United Kingdom, Pages 699-708, Vol. '19, ACM, 9/2019.

  10. Muhammad Nabeel Asim; Muhammad Usman Ghani Khan; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    A Robust Hybrid Approach for Textual Document Classification

    In: ICDAR. International Conference on Document Analysis and Recognition (ICDAR-2019), September 20-25, Sydney, Australia, IEEE, 9/2019.

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