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Publications

Displaying results 411 to 420 of 666.
  1. Sebastian Schreiber; Sheraz Ahmed; Stefan Agne; Ivo Wolf; Andreas Dengel

    DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images

    In: ICDAR. International Conference on Document Analysis and Recognition (ICDAR-2047), IEEE, 2017.

  2. Sebastian Palacio; Joachim Folz; Jörn Hees; Federico Raue; Damian Borth; Andreas Dengel

    What do Deep Networks Like to See?

    In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2018), located at CVPR, June 18-22, Salt Lake City, Utah, USA, IEEE, 2018.

  3. Ekaterina Loginova; Stalin Varanasi; Günter Neumann

    Towards Multilingual Neural Question Answering

    In: 1st International Workshop on Artificial Intelligence for Question Answering. International Workshop on Artificial Intelligence for Question Answering (AI*QA-2018), located at 22nd European Conference on Advances in Databases and Information Systems (ADBIS 2018), September 2, Budapest, Hungary, Communications in Computer and Information Science (Springer), Springer, 2018.

  4. Dagmar Gromann; Thierry Declerck; Georg Heigold (Hrsg.)

    Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep - 2)

    Workshop on Semantic Deep Learning (SemDeep-2017), located at 12th International Conference on Computational Semantics (IWCS 2017), September 19, Montpellier, France, ACL, 9/2017.

  5. Shoya Ishimaru; Kensuke Hoshika; Kai Kunze; Koichi Kise; Andreas Dengel

    Towards Reading Trackers in the Wild: Detecting Reading Activities by EOG Glasses and Deep Neural Networks

    In: the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2017), the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 11-15, Maui, Hawaii, USA, Pages 704-111, ISBN 978-1-4503-5190-4, ACM, 9/2017.

  6. Mohammad Al-Naser; Hiroki Ohashi; Sheraz Ahmed; Katsuyuki Nakamura; Takayuki Akiyama; Phong Nguyen; Takuto Sato; Andreas Dengel

    Hierarchical Model for Zero-shot Activity Recognition using Wearable Sensors

    In: International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART), January 16-18, scitepress, 2/2018.

  7. Sebastian Baumbach; Arun Bhatt; Sheraz Ahmed; Andreas Dengel

    Towards a Digital Personal Trainer for Health Clubs - Sport Exercise Recognition Using Personalized Models and Deep Learning

    In: Proceedings of the 10th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-18), January 16-18, Funchal, Madeira, Portugal, Pages 438-445, Vol. 2, ISBN 978-989-758-275-2, SCITEPRESS, Portugal, 2/2018.

  8. Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

    In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2018), Tutorial MO3.R6: Land Cover Dynamics I, July 22-27, Valencia, Spain, Pages 204-207, ISBN 978-1-5386-7150-4, IEEE, 2018.

  9. Rustam Galljamov; Guoping Zhao; Boris Belousov; André Seyfarth; Jan Peters

    Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking

    In: IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Okinawa, Japan, Pages 587-593, IEEE, 2022.

  10. Fabian Kaufmann; Mahdi Chamseddine; Suresh Guttikonda; Christian Glock; Didier Stricker; Jason Raphael Rambach

    Ontology-based Semantic Labeling for RGB-D and Point Cloud Datasets

    In: Computing in Construction. European Conference on Computing in Construction (EC3-2023), 2023 European Conference on Computing in Construction, July 10-12, Heraklion, Crete, Greece, ISBN 978-0-701702-73-1, EC3, 2023.