Skip to main content Skip to main navigation

Publications

Displaying results 1 to 10 of 579.

  1. Ankur Bhatt; Ko Watanabe; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    ABCDE: Appearance-Based Confidence Detection by Evaluating Gaze Behavior Using Deep Learning

    In: International Journal of Activity and Behavior Computing, Vol. 2025 1, Pages 1-24, Care XDX Center, Kyushu Institute of Technology, 7/2025.

  2. Arnab Das; Carlos Franzreb; Tim Polzehl; Sebastian Möller

    Exploring Foundation Model Fusion Effectiveness and Explainability for Stylistic Analysis of Emotional Podcast Data

    In: Advances in Information and Communication. Future of Information and Communication Conference (FICC-2025), located at FICC-2025, March 4-5, Berlin, Germany, Springer Nature, Switzerland, 2025.

  3. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller

    Improving Deep Learning Change Detection in Automotive Radar Maps by Data Augmentation

    In: Proceedings of the International Conference Radar. International Conference Radar (RADAR-2024), October 21-25, Rennes, France, Pages 56-61, IEEE, 2024.

  4. Alexander Michael Rombach; Johannes Lahann; Tim Niesen; Peter Fettke

    Utilizing Deep Learning for Field-Level Information Extraction from German Real Estate Tax Notices

    In: Journal of Emerging Technologies in Accounting (JETA), Vol. 22, Pages 1-18, American Accounting Association, 12/2024.

  5. Igor Vozniak; Pavel Astreika; Philipp Müller; Nils Lipp; Christian Müller; Philipp Slusallek

    HD-VoxelFlex: Flexible High-Definition Voxel Grid Representation

    In: VISIGRAPP (4): VISAPP. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2024), SCITEPRESS, 2024.

  6. Tristan Schneider; Matheus V. A. Pedrosa; Timo P. Gros; Verena Wolf; Kathrin Flaßkamp

    Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving

    In: IEEE Transactions on Intelligent Transportation Systems, Vol. 25, No. 11, Pages 17852-17864, IEEE, 9/2024.

  7. Timo P. Gros; Nicola Müller; Daniel Höller; Verena Wolf

    Safe Reinforcement Learning Through Regret and State Restorations in Evaluation Stages

    In: Workshop on Reliable Data-Driven Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2024), Springer, 2024.

  8. Payal Varshney; Adriano Lucieri; Christoph Peter Balada; Andreas Dengel; Sheraz Ahmed

    Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery

    In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.). Pattern Recognition. International Conference on Pattern Recognition (ICPR-2024), located at 27th International Conference, ICPR 2024, December 1-5, Kolkata, India, DFKI Research Reports (RR), ISBN 978-3-031-78198-8, Springer Nature Link, Cham, 12/2024.

  9. Daniel Sonntag; Thiago Gouvea; Michael Barz; Aliki Anagnostopoulou; Siting Liang; Sara-Jane Bittner; Franziska Scheurer

    The Interactive Deep Learning Enterprise (No-IDLE) meets ChatGPT

    German Research Center for AI, DFKI Technical Report, 2024.

  10. Tarek Elmihoub; Abdulhakim El Gadi Gadi; Lars Nolle; Frederic Theodor Stahl

    On Object Detection and Explainability with Sonar Imagery

    In: 2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA). IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA-2024), May 19-21, Tripoli, Libyan Arab Jamahiriya, Pages 1-8, ISBN 979-8-3503-7263-2, IEEE Xplore, New Jersey, 7/2024.

Year

More options