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  1. Planning Under Uncertainty Through Goal-Driven Action Selection

    In: Jaap van den Herik; Ana Paula Rocha. Agents and Artificial Intelligence. Pages 182-201, ISBN 978-3-030-05453-3, Springer, 2019.

  2. 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.

  3. Thomas Röfer; Tim Laue; Gerrit Felsch; Arne Hasselbring; Tim Haß; Jan Oppermann; Philip Reichenberg; Nicole Schrader

    B-Human 2019 - Complex Team Play Under Natural Lighting Conditions

    In: Stephan Chalup; Tim Niemueller; Jackrit Suthakorn; Mary-Anne Williams (Hrsg.). RoboCup 2019: Robot World Cup XXIII. RoboCup International …

  4. Martin Ring; Christoph Lüth

    Let's Prove It Later --- Verification at Different Points in Time

    In: Peter Csaba Ölveczky; Gwen Salaün (Hrsg.). Software Engineering and Formal Methods - 17th International Conference, Proceedings. International …

  5. Ramy Battrawy; René Schuster; Oliver Wasenmüller; Qing Rao; Didier Stricker

    LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images

    In: International conference in robotics and intelligent systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), …

  6. Tim Dahmen; Patrick Trampert

    Sparse and Adaptive Sampling in Scanning Electron Microscopy

    In: Microscopy and Microanalysis, Vol. 25, No. Issue s1 (Proceedings of CISCEM 2018 - the 4th Con, Pages 29-30, Cambridge University Press, 2/2019.

  7. Tim Dahmen; Patrick Trampert

    An Adaptive Sparse Sampling Scheme for Scanning Electron Microscopy using Delauney Triangulation

    In: Microscopy & Microanalysis 25. Microscopy & Microanalysis (M&M-2019), August 4-8, Portland, Oregon, USA, Microscopy Society of America, 8/2019.

  8. 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.

  9. 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.

  10. Stefania Racioppa; Thierry Declerck

    Enriching Open Multilingual Wordnets with Morphological Features

    In: Raffaella Bernardi; Roberto Navigli; Giovanni Semeraro (Hrsg.). Proceedings of the Sixth Italian Conference on Computational Linguistics. Italian …