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Publications

Displaying results 461 to 470 of 579.
  1. The More, the Merrier? A Study on In-Car IR-based Head Pose Estimation

    In: Proceedings. IEEE Intelligent Vehicles Symposium (IV-2020), 31st, October 20-23, Las Vegas, Nevada, USA, IEEE, 2020.

  2. 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.

  3. Tim Dahmen; Pavel Potocek; Patrick Trampert; Maurice Peemen; Remco Schoenmakers

    Sparse Scanning Electron Microscopy and Deep Learning for Imaging and Segmentation of Neuron Structures

    In: Microscopy & Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Cambridge University Press, 8/2019.

  4. Tim Dahmen; Patrick Trampert; Faysal Boughorbel; Janis Sprenger; Matthias Klusch; Klaus Fischer; Christian Kübel; Philipp Slusallek

    Digital reality: a model-based approach to supervised learning from synthetic data

    In: AI Perspectives, Vol. 1, Pages 1-12, Springer, 2019.

  5. Jameel Malik; Ahmed Elhayek; Fabrizio Nunnari; Didier Stricker

    Simple and effective deep hand shape and pose regression from a single depth image

    In: Computers & Graphics (CAG), Vol. 85, Pages 85-91, ELSEVIER, 10/2019.

  6. Muhammad Ali Chatta; Muhammad Shoaib Ahmed Siddiqui; Moshin Munir; Ludger van Elst; Imran Malik; Andreas Dengel; Sheraz Ahmed

    DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting

    In: The 28th International Conference on Artificial Neural Networks. International Conference on Artificial Neural Networks (ICANN-2019), September 17-19, Munich, Germany, IEEE, 9/2019.

  7. Philip Hake; Jana-Rebecca Rehse; Peter Fettke

    Supporting Complaint Management in the Medical Technology Industry by Means of Deep Learning

    In: 3rd International Workshop on Artificial Intelligence for Business Process Management. International Workshop on Artificial Intelligence for Business Process Management (AI4BPM-2019), located at Business Process Management, September 1-6, Vienna, Austria, Springer, 2019.

  8. Rohan Saxena; René Schuster; Oliver Wasenmüller; Didier Stricker

    PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation

    In: Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium (IV-2019), June 10-12, Paris, France, IEEE, 2019.

  9. Florian Pusse; Matthias Klusch

    Hybrid Online POMDP Planning and Deep Reinforcement Learning for Safer Self-Driving Cars

    In: 30th IEEE International Intelligent Vehicle Symposium (IV 2019). IEEE Intelligent Vehicles Symposium (IV-19), June 9-12, Paris, France, IEEE Press, 2019.

  10. Lia Ahrens; Julian Ahrens; Hans D. Schotten

    A machine-learning phase classification scheme for anomaly detection in signals with periodic characteristics

    In: EURASIP Journal on Advances in Signal Processing (ASP), Vol. 2019, No. 27, Pages 1-23, Springer International Publishing, 5/2019.