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Publications

Displaying results 111 to 120 of 14742.

  1. Muhammad Saif Ullah Khan; Didier Stricker

    PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit

    In: Proceedings of the Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2026), March 6-10, Tucson, AZ, USA, IEEE, 2/2026.

  2. Ho Minh Duy Nguyen; Nghiem T. Diep; Trung Nguyen; Hoang-Bao Le; Tai Nguyen; Tien Nguyen; TrungTin Nguyen; Nhat Ho; Pengtao Xie; Roger Wattenhofer; James Zou; Daniel Sonntag; Mathias Niepert

    ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models

    In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS). Neural Information Processing Systems (NeurIPS-2025), December 2-12, USA, Advances in Neural Information Processing Systems, 12/2025.

  3. Julen Urain; Niklas Funk; Jan Peters; Georgia Chalvatzaki

    SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

    In: IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023. IEEE International Conference on Robotics and Automation (ICRA), Pages 5923-5930, IEEE, 2023.

  4. Lasse Hohmeyer; Mihaela Popescu; Ivan Bergonzani; Dennis Mronga; Frank Kirchner

    InEKFormer: A Hybrid State Estimator for Humanoid Robots

    In: Proceedings of IEEE International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2025), December 2-5, San Juan, Argentina, Pages 833-840, IEEE, 1/2026.

  5. Daniel Büttner; Dirk Schöttke; Stephan Schäfer; Sönke Knoch; Daniel Porta; Tim Schwartz; Claudette Ocando Röhricht; Aaron Zielstorff; Andreas Bayha

    Bridging the Qualification Gap for the Asset Administration Shell: A Modular and Role-Based Learning Framework

    In: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2025), September 9-12, Porto, Portugal, Pages 1-8, IEEE, 10/2025.

  6. Lukas Struppek; Minh Hieu Le; Dominik Hintersdorf; Kristian Kersting

    Exploring the Adversarial Capabilities of Large Language Models

    2024.

  7. Saurabh Mathur; Veerendra P. Gadekar; Rashika Ramola; Peixin Wang; Ramachandran Thiruvengadam; David M. Haas; Shinjini Bhatnagar; Nitya Wadhwa; Garbhini Study Group; Predrag Radivojac; Himanshu Sinha; Kristian Kersting; Sriraam Natarajan

    Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources

    In: Joseph Finkelstein; Robert Moskovitch; Enea Parimbelli (Hrsg.). Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I. Conference on Artificial Intelligence in Medicine (AIME), Pages 293-302, Lecture Notes in Computer Science, Vol. 14844, Springer, 2024.

  8. Jonas Seng; Florian Peter Busch; Kristian Kersting

    Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching

    In: Martin Mundt; Keiland W. Cooper; Devendra Singh Dhami; Tyler L. Hayes; Rebecca Herman; Adéle Ribeiro; James Seale Smith (Hrsg.). Proceedings of The Second AAAI Bridge Program on Continual Causality. AAAI Bridge Program on Continual Causality, February 20-21, Vancouver, Canada, Pages 11-20, Proceedings of Machine Learning Research (PMLR), Vol. 268, PMLR, 2024.

  9. Wolfgang Stammer; Felix Friedrich; David Steinmann; Manuel Brack; Hikaru Shindo; Kristian Kersting

    Learning by Self-Explaining

    In: Transactions on Machine Learning Research (TMLR), Vol. 2024, Pages 1-35, arXiv, 2024.

  10. Daniel Ochs; Karsten Wiertz; Sebastian Bußmann; Kristian Kersting; Devendra Singh Dhami

    Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images

    In: Remote Sensing, Vol. 16, No. 2, Pages 1-13, MDPI, 2024.

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