Skip to main content Skip to main navigation

Publications

Displaying results 371 to 380 of 668.

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    Removal of Historical Document Degradations Using Conditional GANs , In International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019)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

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Babu Ajish; Leon Cedric Danter; Pierre Willenbrock; Sankaranarayanan Natarajan; Daniel Kuehn; Frank Kirchner

    ARTER: a walking excavator robot for autonomous and remote operations

    In: at - Automatisierungstechnik, Vol. 70, No. 10, Pages 876-887, De Gruyter, 2022.

  7. Johannes Lahann; Peter Pfeiffer; Peter Fettke

    LSTM-based Anomaly Detection of Process Instances: Benchmark and Tweaks

    In: Proceedings of the 4th International Conference on Process Mining (Workshops). International Conference on Process Mining (ICPM-2022), Process Mining Workshops, October 23-28, Bolzano, Italy, Lecture Notes in Business Information Processing, Springer, 2023.

  8. Saifullah Saifullah; Dominique Mercier; Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods

    In: Frontiers in Artificial Intelligence, Vol. 7, Pages 1-26, Frontiers, 7/2024.

  9. Sankalp Sinha; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

    In: Applied Sciences, Vol. 12, No. 20, Pages 1-22, MDPI, Switzerland, 10/2022.

  10. Alexander Dettmann; Malte Langosz; Jonas Eisenmenger; Marc Otto; Sebastian Kasperski; Malte Wirkus; Nayari Lessa

    Ground Interaction Models for Increased Autonomy of Planetary Exploration Systems

    In: 13th EASN International Conference on Innovation in Aviation & Space for opening New Horizons (13th EASN 2023). EASN International Conference on Innovation in Aviation and Space for opening New Horizons, September 5-8, Salerno, Italy, Journal of Physics: Conference Series (JPCS), Vol. 2716, IOP Publishing Ltd, 3/2024.

Year

More options