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Publications

Displaying results 421 to 430 of 682.
  1. AutoPOSE: Large-Scale Automotive Driver Head Pose and Gaze Dataset with Deep Head Pose Baseline

    In: International Conference on Computer Vision Theory and Applications (VISAPP). International Conference on Computer Vision Theory and Applications (VISAPP-2020), 15th, February 27-29, Valletta, Malta, SCITEPRESS Digital Library, 2020.

  2. Tewodros Amberbir Habtegebrial; Gerd Reis; Didier Stricker

    Deep Convolutional Networks For Snapshot Hyperspectral Demosaicking

    In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS-2019), located at 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), September 24-26, Amsterdam, Netherlands, ISBN Electronic ISBN: 978-1-7281-5294-3, IEEE, 9/2019.

  3. A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

    In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2019), December 16-19, Boca Raton, Florida, USA, Pages 561-566, ISBN 978-1-7281-4550-1, IEEE, 12/2019.

  4. Daniel Sonntag; Fabrizio Nunnari; Hans-Jürgen Profitlich

    The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions.

    Technical Report, BMBF, H2020, DFKI Research Reports (RR), Vol. 1, 5/2020.

  5. Adriano Lucieri; Huzaifa Sabir; Muhammad Shoaib Ahmed Siddiqui; Syed Tahseen Raza Rizvi; Brian Kenji Iwana; Seiichi Uchida; Andreas Dengel; Sheraz Ahmed

    Benchmarking Deep Learning Models for Classification of Book Covers

    In: Springer Singapore (Hrsg.). SN Computer Science, Vol. 1, No. Issue 3, Pages 1-16, Springer, Singapore, 5/2020.

  6. Visual Search Target Inference in Natural Interaction Settings with Machine Learning

    In: Andreas Bulling; Anke Huckauf; Eakta Jain; Ralph Radach; Daniel Weiskopf (Hrsg.). ACM Symposium on Eye Tracking Research and Applications. Symposium on Eye Tracking Research & Applications (ETRA-2020), Stuttgart, Germany, Association for Computing Machinery, New York, NY, USA, 5/2020.

  7. A Deep Learning Method to Predict Fading Channel in Multi-Antenna Systems

    In: 2020 IEEE 91st Vehicular Technology Conference. IEEE Vehicular Technology Conference (VTC-2020), May 25-28, Antwerp, Belgium, IEEE, 2020.

  8. Ekaterina Loginova; Stalin Varanasi; Günter Neumann

    Towards End-to-End Multilingual Question Answering

    In: Information Systems Frontiers (ISF), Vol. 22, Pages 1-14, Springer, 3/2020.

  9. Jessica Bielski; Burak Mete; Viktor Eisenstadt; Christoph Langenhan; Frank Petzold; Andreas Dengel; Klaus-Dieter Althoff

    Chasing the White Rabbit: A case study of predicting design phases of architects by training a deep neural network with sketch recognition through a digital drawing board

    In: Proceedings of the 13th International Conference on Computational Creativity. International Conference on Computational Creativity (ICCC-22), 13th, June 27 - July 1, Bolzano, Italy, Pages 73-77, ISBN 978-989-54160-4-2, Association for Computational Creativity (ACC), 6/2022.