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Publications

Displaying results 311 to 320 of 682.
  1. Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

    (alpha)ILP: thinking visual scenes as differentiable logic programs

    In: Machine Learning, Vol. 112, No. 5, Pages 1465-1497, Springer, 2023.

  2. Nima Omidsajedi; Rekha Reddy; Jianming Yi; Jan Herbst; Christoph Lipps; Hans Dieter Schotten

    Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)

    In: VDE/ITG Fachtagung Mobilkommunikation. VDE/ITG Fachtagung Mobilkommunikation (MKT-2021), November 3-5, Osnabrück, Germany, ISBN 978-3-8007-5674-2, ITG, 11/2021.

  3. Rui Xu; Noshaba Cheema; Erik Herrmann; Perttu Hämäläinen; Philipp Slusallek

    Towards Fatigue Modeling for Locomotion Tasks

    In: Motion, Interaction and Games - Posters. ACM SIGGRAPH Conference on Motion in Games (MIG-2021), ACM, 2021.

  4. Noshaba Cheema; Laura A. Frey-Law; Kourosh Naderi; Jaakko Lehtinen; Philipp Slusallek; Perttu Hämäläinen

    Modeling the "Gorilla Arm" Effect with Reinforcement Learning

    In: Motion, Interaction and Games - Posters. ACM SIGGRAPH Conference on Motion in Games (MIG-2021), ACM, 2021.

  5. Shyam Chanduri; Zeeshan Khan Suri; Igor Vozniak; Christian Müller

    CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters

    In: British Machine Vision Conference. British Machine Vision Conference (BMVC-2021), The British Machine Vision Association and Society for Pattern Recognition, November 22-25, Online, The British Machine Vision Association, 2021.

  6. Mihir Patil; Bilal Wehbe; Matias Valdenegro-Toro

    Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study

    In: Global OCEANS 2021. OCEANS MTS/IEEE Conference (OCEANS-2021), September 20-23, San Diego, CA, USA, IEEE, 9/2021.

  7. Andreas Winter; Boris Brandherm; Michael Igel; Peter Schegner

    Klassische Stromnetzberechnung in Kombination mit künstlicher Intelligenz zur Analyse und Diagnose von Stromverteilnetzen

    In: VDE FNN / ETG Tutorial Schutz- und Leittechnik. VDE FNN / ETG Tutorial Schutz- und Leittechnik, VDE Verlag GmbH, 2/2022.

  8. Abdul Rafey Aftab; Michael von der Beeck; Steven Rohrhirsch; Benoit Diotte; Michael Feld

    Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects

    In: IEEE (Hrsg.). 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE Intelligent Vehicles Symposium (IV-2021), 32th Intelligent Vehicles Symposium, located at IV21, July 11-17, Nagoya, Japan, Pages 1108-1115, ISBN 978-1-7281-5394-0, IEEE, 11/2021.

  9. Pierre Gutierrez; Maria Luschkova; Antoine Cordier; Mustafa Shukor; Mona Schappert; Tim Dahmen

    Synthetic training data generation for deep learning based quality inspection

    Quality Control by Artificial Vision 2021, 2021.

  10. Ioannis Prapas; Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Volker Markl

    Continuous Training and Deployment of Deep Learning Models

    In: Datenbank-Spektrum (Spektrum), Vol. 21, No. 3, Pages 203-212, Springer, 2021.