Skip to main content Skip to main navigation

Publications

Displaying results 351 to 360 of 581.

  1. Sungho Suh; Vitor Fortes Rey; Paul Lukowicz

    Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition

    In: 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE International Conference on Pervasive Computing and Communications (PerCom-2022), March 21-25, Pisa, Italy, Pages 217-226, IEEE, 2022.

  2. Isaak Mitschke; Thomas Wiemann; Felix Igelbrink; Joachim Hertzberg

    Hyperspectral 3D Point Cloud Segmentation using RandLA-Net

    In: Proceedings of 17th INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (IAS-17). International Conference on Intelligent Autonomous Systems (IAS-2022), June 13-16, Zagreb, Croatia, IAS, 6/2022.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. Babu Ajish; Frank Kirchner

    Terrain Adaption Controller for a Walking Excavator Robot using Deep Reinforcement Learning

    In: 2021 20th International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2021), December 7-10, Ljubljana, Slovenia, Pages 64-70, IEEE Xplore, ieeexplore.ieee.org/document/9659399, 12/2021.

  8. Jens Popper; William Motsch; Alexander David; Teresa Petzsche; Martin Ruskowski (Hrsg.)

    Utilizing Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Under Sustainable Viewpoints

    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, located at 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, October 7-8, Belle Mare, Mauritius, IEEE, 2021.

  9. Kumail Raza; René Schuster; Didier Stricker

    Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching

    In: Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2021), November 30, Ingolstadt, Germany, ACM, 2021.

  10. Jens Popper; Carsten Harms; Martin Ruskowski

    Enabling reliable Visual Quality Control in Smart Factories through TSN

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). Procedia CIRP, Vol. 88 - 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 17-19 July 2019, Gulf of Naples, Italy, Pages 549-553, Elsevier B.V. 2020.

Year

More options