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Publications

Displaying results 351 to 360 of 682.

  1. Bang You; Jingming Xie; Youping Chen; Jan Peters; Oleg Arenz

    Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.05333, Pages 0-10, arXiv, 2022.

  2. Daphne Theodorakopoulos; Christoph Manss; Frederic Theodor Stahl; Marius Lindauer

    Green AutoML for Plastic Litter Detection

    In: ICLR 2023 Workshop on Tackling Climate Change with Machine Learning. International Conference on Learning Representations (ICLR), None, 2023.

  3. Michael Meiser; Benjamin Duppe; Ingo Zinnikus

    SynTiSeD - Synthetic Time Series Data Generator

    In: 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) - Proceedings. Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES), located at Cyber-Physical Systems and Internet-of-Things Week, May 9, San Antonio, TX, USA, Pages 1-6, ISBN 979-8-3503-3682-5, IEEE Xplore, 5/2023.

  4. Rustam Galljamov; Guoping Zhao; Boris Belousov; André Seyfarth; Jan Peters

    Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking

    In: IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Okinawa, Japan, Pages 587-593, IEEE, 2022.

  5. Fabian Kaufmann; Mahdi Chamseddine; Suresh Guttikonda; Christian Glock; Didier Stricker; Jason Raphael Rambach

    Ontology-based Semantic Labeling for RGB-D and Point Cloud Datasets

    In: Computing in Construction. European Conference on Computing in Construction (EC3-2023), 2023 European Conference on Computing in Construction, July 10-12, Heraklion, Crete, Greece, ISBN 978-0-701702-73-1, EC3, 2023.

  6. Saifullah Saifullah; Stefan Agne; Andreas Dengel; Sheraz Ahmed

    Analyzing the potential of active learning for document image classification

    In: International Journal on Document Analysis and Recognition (IJDAR), Vol. 26, Pages 187-209, Springer Nature, 4/2023.

  7. Saifullah Saifullah; Stefan Agne; Andreas Dengel; Sheraz Ahmed

    ColDBin: Cold Diffusion for Document Image Binarization

    In: Document Analysis and Recognition - ICDAR 2023. International Conference on Document Analysis and Recognition (ICDAR-2023), located at The 17th International Conference on Document Analysis and Recognition, August 21-26, San José, California, California, USA, Springer Nature Switzerland, 8/2023.

  8. Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Andreas Dengel

    FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification

    In: Journal of King Saud University - Computer and Information Sciences, Vol. 35, No. 8 (101665), Elsevier, 9/2023.

  9. Mehran Jeelani; Sadbhawna; Noshaba Cheema; Klaus Illgner-Fehns; Philipp Slusallek; Sunil Jaiswal

    Expanding Synthetic Real-World Degradations for Blind Video Super Resolution

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. New Trends in Image Restoration and Enhancement Workshop (NTIRE-2023), 8th, located at CVPR-2023, June 18, Vancouver, BC, Canada, Pages 1199-1208, Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (CVPRW), IEEE Xplore, 6/2023.

  10. Sk Aziz Ali; Djamila Aouada; Gerd Reis; Didier Stricker (Hrsg.)

    DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport

    International Conference on Computer Vision (ICCV-2023), 2023.

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