Skip to main content Skip to main navigation

Publications

Displaying results 281 to 290 of 661.

  1. . (Hrsg.)

    DeiSAM: Segment Anything with Deictic Prompting

    AAAI Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models, located at AAAI, 2024.

  2. Johannes Rust; Christian Mandel; Kathrin Stich; Serge Autexier

    Predicting Hemodynamic and Pulmonary Decompensation with Deep Neural Networks: Performance and Explainability

    In: 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2024), Orlando, USA, 2024.

  3. Sk Aziz Ali; Mohammad Sadil Khan; Didier Stricker

    BRep Boundary and Junction Detection for CAD Reverse Engineering

    In: Proceedings of the 3rd IEEE International Conference on Computing and Machine Intelligence. IEEE International Conference on Computing and Machine Intelligence (ICMI-2024), April 13-14, Michigan, MI, USA, IEEE, 2024.

  4. Katharina Hengel; Achim Wagner; Martin Ruskowski

    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.

  5. 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.

  6. Rashmi Alur Ramachandra; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Enhancing Stress Detection for Students: Exploring the Impact of Fine-Tuning and User-Specific Data Calibration in Deep Learning

    In: International Journal of Activity and Behavior Computing, Vol. 2024, Pages 1-21, J-Stage, 2024.

  7. Jayasankar Santhosh; Akshay Palimar Pai; Shoya Ishimaru

    Toward an Interactive Reading Experience: Deep Learning Insights and Visual Narratives of Engagement and Emotion

    In: IEEE Access (IEEE), Vol. 12, Pages 6001-6016, IEEE, 2024.

  8. Tom Vincent Slawik; Bilal Wehbe; Leif Christensen

    Deep Reinforcement Learning for Path-Following Control of an Autonomous Surface Vehicle using Domain Randomization

    In: 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024. IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS-2024), September 3-5, Blacksburg, Virginia, USA, n.n. 9/2024.

  9. Matthias Tschöpe; Dennis Schneider; Sungho Suh; Paul Lukowicz

    A Novel Guidance Framework for Nasal Rapid Antigen Tests with Improved Swab Keypoint Detection

    In: SSRN Electronic Journal, Vol. SSRN, Pages 1-32, SSRN, 2023.

  10. Lotfy Abdel Khaliq; Sabine Janzen; Wolfgang Maaß

    REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms

    In: International Joint Conference on Artificial Intelligence 2024. International Joint Conference on Artificial Intelligence (IJCAI-2024), 33rd International Joint Conference on Artificial Intelligence, August 3-9, Jeju, Korea, Republic of, International Joint Conference on Artificial Intelligence, 8/2024.

Year

More options