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Publications

Displaying results 471 to 480 of 559.

  1. Rajarshi Biswas; Michael Barz; Daniel Sonntag

    Towards Explanatory Interactive Image Captioning Using Top-Down and Bottom-Up Features, Beam Search and Re-ranking

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 36, Pages 1-14, Springer, 7/2020.

  2. Kareem Amin; Stelios Kapetanakis; Nikolaos Polatidis; Klaus-Dieter Althoff; Andreas Dengel

    DeepKAF: A Heterogeneous CBR Deep Learning Approach for NLP Prototyping

    In: IEEE (Hrsg.). 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). INISTA (INISTA-2020), located at INnovations in Intelligent SysTems and Applications, August 24-26, Novi Sad, Serbia, Pages 1-7, No. 19951570, IEEE, New York, 9/2020.

  3. Shoaib Ahmed Siddiqui; Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    TSInsight: A local-global attribution framework for interpretability in time-series data

    In: Sensors - Open Access Journal (Sensors), Vol. 21, Pages 1-16, MDPI, 11/2021.

  4. Akansha Bhardwaj; Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2017), 24th International Conference on Neural Information Processing, November 14-18, Guangzhou, China, Pages 286-293, Vol. 10635, ISBN 978-3-319-70095-3, Springer, 10/2017.

  5. Sheela Raju Kurupathi; Pramod Murthy; Didier Stricker

    Generation of Human Images with Clothing using Advanced Conditional Generative Adversarial Networks, International Conference on Deep Learning Theory and Applications (DeLTA 2020)

    In: Ana Fred; Kurosh Madani (Hrsg.). Proceedings of the 1st International Conference on Deep Learning Theory and Applications DeLTA 2020. International Conference on Deep Learning Theory and Applications (DeLTA-2020), July 8-10, Pages 30-41, Vol. 1, ISBN 978-989-758-441-1, SciTePress, 2020.

  6. Mateus Dias Ribeiro; Abdul Rehman; Sheraz Ahmed; Andreas Dengel

    DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

    4/2020.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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