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Publications

Displaying results 1161 to 1170 of 14532.

  1. Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Milos Kravcik; Roland Klemke (Hrsg.)

    Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023)

    International Workshop on Multimodal Immersive Learning Systems (MILeS-2023), located at Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), September 4-8, Aveiro, Portugal, CEUR, Vol. 3499, CEUR Workshop Proceedings, Aachen, 10/2023.

  2. Hitesh Kotte; Milos Kravcik; Nghia Duong-Trung

    Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and Feedback

    In: Khaleel Asyraaf Mat Sanusi; Bibeg Limbu; Jan Schneider; Milos Kravcik; Roland Klemke (Hrsg.). Proceedings of the Third International Workshop on Multimodal Immersive Learning Systems (MILeS 2023). International Workshop on Multimodal Immersive Learning Systems (MILeS-2023), located at Eighteenth European Conference on Technology Enhanced Learning (EC-TEL 2023), September 4-8, Aveiro, Portugal, Pages 64-70, Vol. 3499, CEUR Workshop Proceedings, Aachen, 10/2023.

  3. Christoph Fischer; Jörg Schneider; Dennis Krummacker; Dennis Salzmann; Taras Holoyad; Hans Dieter Schotten; RPTU University of Kaiserslautern-Landau

    A Regulators Perspective on Digital Twinning for Mobile Communications

    In: ITG-Fb. 311: Mobilkommunikation; Technologien und Anwendungen. VDE/ITG Fachtagung Mobilkommunikation (MKT-2023), 27. Fachtagung Mobilkommunikation, located at VDE, May 10-11, Osnabrück, Germany, ISBN 978-3-8007-6094-7, VDE, 2023.

  4. Lukas Struppek; Dominik Hintersdorf; Antonio De Almeida Correia; Antonia Adler; Kristian Kersting

    Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks

    In: Kamalika Chaudhuri; Stefanie Jegelka; Le Song; Csaba Szepesvári; Gang Niu; Sivan Sabato (Hrsg.). International Conference on Machine Learning. International Conference on Machine Learning (ICML-2022), July 17-23, Baltimore, Maryland, USA, Pages 20522-20545, Proceedings of Machine Learning Research, Vol. 162, PMLR, 2022.

  5. Martin Mundt; Steven Lang; Quentin Delfosse; Kristian Kersting

    CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability

    In: The Tenth International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2022), April 25-29, OpenReview.net, 2022.

  6. Felix Friedrich; Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Interactively Providing Explanations for Transformer Language Models

    In: Stefan Schlobach; María Pérez-Ortiz; Myrthe Tielman (Hrsg.). HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence. International Conference on Hybrid Human-Artificial Intelligence (HHAI-2022), June 13-17, Amsterdam, Netherlands, Pages 285-287, Frontiers in Artificial Intelligence and Applications, Vol. 354, IOS Press, 2022.

  7. Patrick Schramowski; Christopher Tauchmann; Kristian Kersting

    Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

    In: FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 1350-1361, ISBN 978-1-4503-9352-2, ACM, 2022.

  8. Lukas Struppek; Dominik Hintersdorf; Daniel Neider; Kristian Kersting

    Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

    In: FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-22), June 21-24, Seoul, Korea, Republic of, Pages 58-69, ISBN 978-1-4503-9352-2, ACM, 2022.

  9. Raghav Soni; Daniel Harnack; Hannah Isermann; Sotaro Fushimi; Shivesh Kumar; Frank Kirchner

    End-to-End Reinforcement Learning for Torque Based Variable Height Hopping

    In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2023), October 1-5, Detroit, MI, USA, Pages 7531-7538, ISBN 978-1-6654-9190-7, IEEE Robotics and Automation Society, 10/2023.

  10. Atanas Poibrenski; Farzad Nozarian; Farzaneh Rezaeianaran; Christian Müller

    Uncertainty-aware pseudo labels for domain adaptation in pedestrian trajectory prediction

    In: IEEE ITSC-2023. IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2023), September 24-28, Bilbao, Spain, IEEExplore, 2023.

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