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Year: 2019
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Displaying results 31 to 40 of 62.

  1. 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.

  2. 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 …

  3. 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 …

  4. 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 …

  5. 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.

  6. Tewodros Amberbir Habtegebrial; Gerd Reis; Didier Stricker

    Deep Convolutional Networks For Snapshot Hyperspectral Demosaicking

    In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Workshop on Hyperspectral Imaging and …

  7. Mohsin Munir; Muhammad Ali Chattha; Sheraz Ahmed; Andreas Dengel

    A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

    In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications …

  8. Patrick Helber; Bradley Gram-Hansen; Indhu Varatharajan; Faiza Azam; Alejandro Coca-Castro; Veronika Kopackova; Piotr Bilinski

    Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data

    In: AI for Social Good Workshop. International Conference on Learning Representations (ICLR), May 6-9, New Orleans, LA, USA, ICLR, 2019.

  9. Patrick Helber; Benjamin Bischke; Jörn Hees; Andreas Dengel

    Multi-Scale Machine Learning for the Classification of Building Property Values

    In: Data Fusion: The AI Era. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28 - August 2, Yokohama, Japan, IEEE, 2019.

  10. Benjamin Bischke; Patrick Helber; Jörn Hees; Andreas Dengel

    Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a global scale

    In: Global-Environment Observation and Disaster Mitigation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2019), July 28 - August …

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