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Publications

Displaying results 331 to 340 of 668.

  1. Tushar Karayil; Philipp Blandfort; Jörn Hees; Andreas Dengel

    The Focus-Aspect-Value Model for Explainable Prediction of Subjective Visual Interpretation

    In: Proceedings of the 2019 on International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval (ICMR-2019), June 10-13, Ottawa, Ontario, Canada, Pages 16-24, ISBN 978-1-4503-6765-3, ACM, 2019.

  2. Mohsin Munir; Shoaib Ahmed Siddiqui; Muhammad Ali Chattha; Andreas Dengel; Sheraz Ahmed

    FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models

    In: Sensors - Open Access Journal (Sensors), Vol. 19, No. 11, Pages 1-15, MDPI, 5/2019.

  3. Praveen Kumar Badimala Giridhara; Chinmaya Mishra; Reddy Kumar Modam Venkataramana; Syed Saqib Bukhari; Andreas Dengel

    A Study of Various Text Augmentation Techniques for Relation Classification in Free Text

    In: The 8th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2019), February 19-21, Prague, Czech Republic, Insticc, 2019.

  4. Veeru Dumpala; Sheela Raju Kurupathi; Syed Saqib Bukhari; Andreas Dengel

    Removal of Historical Document Degradations Using Conditional GANs , In International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019)

    In: The 8th International Conference on Pattern Recognition Applications and Methods ICPRAM 2019. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2019), February 19-21, Prague, Czech Republic, Insticc, 2019.

  5. Vijaya Kumar Bajjer Ramanna; Syed Saqib Bukhari; Andreas Dengel

    Document Image Dewarping Using Deep Learning

    In: The 8th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2019), February 19-21, Prague, Czech Republic, Insticc, 2019.

  6. 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.

  7. Benjamin Bischke; Patrick Helber; Joachim Folz; Damian Borth; Andreas Dengel

    Multi-task learning for segmentation of building footprints with neural networks

    In: AI4SocialGood. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, Louisiana, USA, arXiv, 2019.

  8. 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.

  9. 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 2, Yokohama, Japan, IEEE, 2019.

  10. Sebastián Gómez-González; Sergey Prokudin; Bernhard Schölkopf; Jan Peters

    Real Time Trajectory Prediction Using Deep Conditional Generative Models

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 970-976, IEEE, 2020.

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