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Publications

Displaying results 221 to 230 of 667.
  1. Sudhanshu Mittal; Joshua Niemeijer; Özgün Çiçek; Maxim Tatarchenko; Jan Ehrhardt; Jörg P. Schäfer; Heinz Handels; Thomas Brox

    Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation

    In: International Journal of Computer Vision (IJCV), Vol. 133, Pages 4294-4316, Springer Nature, 2025.

  2. Marc Steffen Seibel; Marc Rowedder; Julia Andresen; Richard Neffin; Tobias Neumann; Helge Sudkamp; Heinz Handels; Timo Kepp

    Enhancing retinal SELFF-OCT image quality: a deep-learning-based pipeline

    In: Medical Imaging 2025: Image Processing. SPIE Medical Imaging (SPIE-2025), San Diego, United States, Vol. 13406, SPIE, 2025.

  3. KI-basierte Anwendungen in der medizinischen Bildverarbeitung

    In: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, Vol. 68, No. 8, Pages 862-871, Springer, 2025.

  4. Julen Urain; Ajay Mandlekar; Yilun Du; Nur Muhammad (Mahi) Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters

    A Survey on Deep Generative Models for Robot Learning From Multimodal Demonstrations

    In: IEEE Transactions on Robotics and Automation, Vol. 42, Pages 60-79, ArXiv, 2026.

  5. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.14495, Pages 1-4, arXiv, 2025.

  6. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 18, No. 12, Pages 5255-5258, arXiv, 2025.

  7. Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

    Eau De emphQ-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.01437, Pages 1-26, arXiv, 2025.

  8. Dominik Hintersdorf; Lukas Struppek; Manuel Brack; Felix Friedrich; Patrick Schramowski; Kristian Kersting

    Does CLIP Know My Face?

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 80, Pages 1033-1062, arXiv, 2024.

  9. A Dynamic Multi-objective Scheduling Approach for Gradient-Based Reinforcement Learning

    In: 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024. IFAC Symposium on Information Control Problems in Manufacturing (INCOM-2024), 18th IFAC Symposium on Information Control Problems in Manufacturing, August 28-30, Vienna, Austria, Elsevier, 2024.

  10. Nabeel Khalid; Anwai Archit; Luca Freckmann; Sushmita Nair; Paul Hilt; Vikas Rajashekar; Marei Freitag; Carolin Teuber; Genevieve Buckley; Sebastian von Haaren; Sagnik Gupta; Andreas Dengel; Sheraz Ahmed; Constantin Pape

    Segment Anything for Microscopy

    In: Nature, Vol. 22, Pages 579-591, Nature Methods, 2/2025.