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Displaying results 291 to 300 of 514.

  1. Wei Jiang; Hans Dieter Schotten

    Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

    In: IEEE Wireless Communications and Networking Conference. IEEE Wireless Communications and Networking Conference (WCNC-2021), March 29 - April 1, …

  2. 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, …

  3. 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 …

  4. Peter Fettke; Robert Risse; Fritz Esterer

    Anwendungspotentiale von Deep Learning im Process Mining in der Steuerabteilung am Beispiel von Henkel

    In: IM+io, Vol. 4, Pages 84-89, AWSI Publishing, 12/2017.

  5. Ho Minh Duy Nguyen; Duy M. Nguyen; Huong Vu; Binh T. Nguyen; Fabrizio Nunnari; Daniel Sonntag

    An Attention Mechanism using Multiple Knowledge Sources for COVID-19 Detection from CT Images

    In: The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). AAAI Conference on Artificial Intelligence (AAAI), Workshop on Trustworthy …

  6. Peter Hevesi; Ramprasad Chinnaswamy Devaraj; Matthias Tschöpe; Oliver Petter; Janis Nikolaus Elfert; Vitor Fortes Rey; Marco Hirsch; Paul Lukowicz

    Towards Construction Progress Estimation Based on Images Captured on Site

    In: EAI IndustrialIoT 2020 - 4th EAI International Conference on Industrial IoT Technologies and Applications. EAI International Conference on …

  7. Lauren Michelle Pfeifer; Matias Valdenegro-Toro

    Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning

    In: Workshop: LXAI Research @ NeurIPS 2020. LatinX in AI Research Workshop (LXAI-2020), located at NeurIPS2020, December 7, Virtual, Keine, 2020.

  8. Matthias Rosynski; Frank Kirchner; Matias Valdenegro-Toro

    Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?

    In: ICBINB@NeurIPS 2020 - Bridging the gap between theory and empiricism in probabilistic machine learning. I Can't Believe It's Not Better! Workshop …

  9. 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 …

  10. 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 …

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