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Publications

Displaying results 381 to 390 of 682.
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Takashi Miyamoto; Marco Stricker; J. Ogishima; Kevin Iselborn; Marlon Nuske; Andreas Dengel

    Effect of Terrain Information on Multimodel Deep Learning for Flood Disaster Detection

    In: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2023), June 16-21, Pasadena, CA, USA, IEEE, 2023.

  7. Antoine Grosnit; Rasul Tutunov; Alexandre Max Maraval; Ryan-Rhys Griffiths; Alexander I. Cowen-Rivers; Lin Yang; Lin Zhu; Wenlong Lyu; Zhitang Chen; Jun Wang; Jan Peters; Haitham Bou-Ammar

    High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2106.03609, Pages 0-10, arXiv, 2021.

  8. Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

    Robust Value Iteration for Continuous Control Tasks

    In: Dylan A. Shell; Marc Toussaint; M. Ani Hsieh (Hrsg.). Robotics: Science and Systems XVII. Robotics: Science and Systems (RSS-2021), July 12-16, Virtual Event, Robotics Science and Systems, Online Proceedings, 2021.

  9. Jayasankar Santhosh; David Dzsotjan; Shoya Ishimaru

    Multimodal Assessment of Interest Levels in Reading: Integrating Eye-Tracking and Physiological Sensing

    In: IEEE Access (IEEE), Vol. 11, Pages 93994-94008, IEEE, 9/2023.

  10. Andrew S. Morgan; Daljeet Nandha; Georgia Chalvatzaki; Carlo D'Eramo; Aaron M. Dollar; Jan Peters

    Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, Xi'an, China, Pages 6672-6678, IEEE, 2021.