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Publications

Displaying results 101 to 110 of 563.

  1. Jigyasa Singh Katrolia; Lars Krämer; Jason Raphael Rambach; Bruno Mirbach; Didier Stricker

    An Adversarial Training based Framework for Depth Domain Adaptation

    In: Proceedings of the 16th VISAPP. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2021), 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, February 8-10, online, Springer, 2021.

  2. Abhash Sinha; Martin Jenckel; Syed Saqib Bukhari; Andreas Dengel

    Unsupervised OCR Model Evaluation Using GAN

    In: Proceedings ICDAR'19. International Conference on Document Analysis and Recognition (ICDAR-2019), September 20-25, Sydney, Australia, Pages 1256-1261, ISBN 978-1-7281-3015-6, IEEE, 9/2019.

  3. Redy Andriyansah; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Using Balanced Training to Minimize Biased Classification

    In: HIP '19: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing. International Workshop on Historical Document Imaging and Processing (HIP), Sydney, Australia, Pages 31-36, ISBN 978-1-4503-7668-6, Association for Computing Machinery, 9/2019.

  4. Mohammad Mohsin Reza; Syed Saqib Bukhari; Martin Jenckel; Andreas Dengel

    Table Localization and Segmentation using GAN and CNN

    In: 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). International Conference on Document Analysis and Recognition Workshops (ICDARW-2019), September 22-25, Sydney, Australia, Pages 152-157, Vol. 5, ISBN 978-1-7281-5055-0, Association for Computing Machinery, 9/2019.

  5. Kumar Shridhar; Joonho Lee; Hideaki Hayashi; Purvanshi Mehta; Brian Kenji Iwana; Seokjun Kang; Seiichi Uchida; Sheraz Ahmed; Andreas Dengel

    ProbAct: A Probabilistic Activation Functionfor Deep Neural Networks

    In: OPT2020: 12th Annual Workshop on Optimization for Machine Learning. Workshop on Optimization for Machine Learning (OPT-2020), located at NeurIPS2020, December 11-12, Vancouver, Canada, ArXiv, 2019.

  6. Andreas Dengel

    Some Shades of Grey!: Interpretability and Explainability of Deep Neural Networks

    In: Proceedings WCRML19. ACM Workshop on Crossmodal Learning and Application, Ottawa, Canada, ISBN 978-1-4503-6780-6, Association for Computing Machinery, New York, 6/2019.

  7. Christopher Metz; Mehran Goli; Rolf Drechsler

    Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs

    In: Proceedings of SLOHA Workshop 2021. System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA-2021), located at Design, Automation and Test in Europe Conference (DATE), February 5, Grenoble, France, 2021.

  8. Wei Jiang; Hans Dieter Schotten

    A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection

    In: IEEE Transactions on Vehicular Technology, Vol. 70, Pages 1-16, IEEE, 2021.

  9. Dennis Stumpf; Stephan Krauß; Gerd Reis; Oliver Wasenmüller; Didier Stricker

    SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences

    In: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. International Conference on Computer Vision Theory and Applications (VISAPP-2021), February 8-10, Online (due to COVID-19), Pages 595-603, Vol. Volume 4 VISAPP: VISAPP, ISBN 978-989-758-488-6, SciTePress, 2021.

  10. Fabio Vulpi; Annalisa Milella; Florian Cordes; Raúl Domínguez; Giulio Reina

    Deep Terrain Estimation for Planetary Rovers

    In: 15th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS'20). International Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS-2020), October 19, Online-Conference, 10/2020.

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