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  1. Björn Deiseroth; Mayukh Deb; Samuel Weinbach; Manuel Brack; Patrick Schramowski; Kristian Kersting

    ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation

    In: Thirty-seventh Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Curran Associates, Inc. 2023.

  2. Michael Lutter; Jan Peters

    Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models

    In: International Journal of Robotics Research (IJRR), Vol. abs/2110.01894, Pages 83-107, Sage Publications, 2023.

  3. Yunmin Cho; Lala Ray; Kundan Sai Prabhu Thota; Sungho Suh; Paul Lukowicz

    ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset

    In: IEEE International Conference on Image Processing (ICIP). IEEE International Conference on Image Processing (ICIP-2023), October 8-11, Kuala …

  4. Chonghyo Joo; Jeongdong Kim; Hyungtae Cho; Jaewon Lee; Sungho Suh; Junghwan Kim

    Chemical Property-Guided Neural Networks for Naphtha Composition Prediction

    In: IEEE International Conference on Industrial Informatics. IEEE International Conference on Industrial Informatics (INDIN-2023), July 18-20, Lemgo, …

  5. PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation

    In: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE …

  6. BoxMask: Revisiting Bounding Box Supervision for Video Object Detection

    In: Winter Conference on Applications of Computer Vision 2023. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 3-8, …