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Publications

Displaying results 561 to 570 of 647.

  1. Manuela Schuler; Richard Membarth; Philipp Slusallek

    XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments

    In: David Kaeli (Hrsg.). ACM Transactions on Architecture and Code Optimization (TACO), Vol. 20, No. 1, Pages 17:1-17:25, ACM, 12/2022.

  2. Dipam Goswami; René Schuster; Didier Stricker

    Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation

    In: Winter Conference on Applications of Computer Vision 2023. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 2-7, Waikoloa, HI, USA, IEEE, 2023.

  3. Jason Raphael Rambach; Alain Pagani; Didier Stricker

    Principles of Object Tracking and Mapping

    In: Andrew Yeh Ching Nee; Soh Khim Ong. Springer Handbook of Augmented Reality. Pages 53-84, Springer Handbooks, ISBN 978-3-030-67821-0, Springer, Switzerland, 1/2023.

  4. Freddy Sikouonmeu; Martin Atzmueller

    Active-Learning-Driven Deep Interactive Segmentation for Cost-Effective Labeling of Crop-Weed Image Data

    In: Konferenzband der 43. GIL-Jahrestagung. GIL-Jahrestagung (GIL-2023) Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2023), February 13-14, Osnabrück, Germany, GI, Bonn, 2023.

  5. Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

    Graph neural networks for multivariate time series regression with application to seismic data

    In: International Journal of Data Science and Analytics, Pages 1-16, Springer, 8/2022.

  6. Josip Josifovski; Mohammadhossein Malmir; Noah Klarmann; Bare Luka Zagar; Nicolás Navarro-Guerrero; Alois Knoll

    Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 23-27, Kyoto, Japan, Pages 10193-10200, ISBN 978-1-66547-927-1, IEEE, 10/2022.

  7. Mahsa Manshadi; Milad Mousavi; M. Soltani; Amirhosein Mosavi; Levente Kovacs

    Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System

    In: Energies, Vol. 15, No. 24, Pages 9484-9494, MDPI, 12/2022.

  8. Nabeel Khalid; Fabian Schmeisser; Mohammadmahdi Koochali; Mohsin Munir; Christoffer Edlund; Rickard Sjögren; Andreas Dengel; Sheraz Ahmed

    Point2Mask: A Weakly Supervised Approach for Cell Segmentation using Point Annotation

    In: 2022 Annual Conference on Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (MIUA-2022), July 25-29, Cambridge, United Kingdom, MIUA, 2022.

  9. Mohammad Amin Rezaei; Arman Fathollahi; Sajad Rezaei; Jiefeng Hu; Meysam Gheisarnejad; Ali Reza Teimouri; Rituraj Rituraj; Amirhosein Mosavi; Mohammad-Hassan Khooban

    Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles

    In: IEEE Access (IEEE), Vol. 10, Pages 132271-132287, IEEE, 12/2022.

  10. Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Exploiting Concepts of Instance Segmentation to Boost Detection in Challenging Environments

    In: Sensors - Open Access Journal (Sensors), Vol. 22, Pages 3703-3722, MDPI, Switzerland, 5/2022.

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