Skip to main content Skip to main navigation

Publications

Displaying results 261 to 270 of 11303.

  1. Ho Minh Duy Nguyen; Hoang Nguyen; Nghiem T. Diep; Tan Pham; Tri Cao; Binh T. Nguyen; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert

    LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

    In: The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023). Neural Information Processing Systems (NeurIPS), December 10-16, USA, Advances in Neural Information Processing Systems, 12/2023.

  2. Farzad Nozarian; Shashank Agarwal; Farzaneh Rezaeianaran; Danish Shahzad; Atanas Poibrenski; Christian Müller; Philipp Slusallek

    Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. CVPR Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU-2023), located at 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 19, Vancouver, Canada, Pages 4981-4990, IEEE, 6/2023.

  3. Ankur Bhatt; Ko Watanabe; Andreas Dengel; Shoya Ishimaru

    Appearance-Based Gaze Estimation with Deep Neural Networks: From Data Collection to Evaluation

    In: International Journal of Activity and Behavior Computing, Vol. 2024, No. Issue 1, Pages 1-15, J-STAGE, 2023.

  4. Agnes Grünerbl; Kai Kunze; Thomas Lachmann; Jamie A Ward; Paul Lukowicz

    Ubicomp Tutorial - UbiCHAI - Experimental Methodologies for Cognitive Human Augmentation

    In: ISWC '23: Proceedings of the 2023 ACM International Symposium on Wearable Computers. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2023), UbiComp/ISWC '23, October 8-12, Cancun, Mexico, ISBN 979-8-4007-0199-3, ACM, 10/2023.

  5. Fabian Hadiji; Kristian Kersting

    Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  6. Babak Ahmadi; Kristian Kersting; Sriraam Natarajan

    MapReduce Lifting for Belief Propagation

    In: Statistical Relational Artificial Intelligence, Papers from the 2013 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2013), July 15, Bellevue, Washington, USA, AAAI Technical Report, Vol. WS-13-16, AAAI, 2013.

  7. Babak Ahmadi; Kristian Kersting; Martin Mladenov; Sriraam Natarajan

    Exploiting symmetries for scaling loopy belief propagation and relational training

    In: Machine Learning, Vol. 92, No. 1, Pages 91-132, Springer, 2013.

  8. Laura Antanas; Plinio Moreno; Marion Neumann; Rui Pimentel de Figueiredo; Kristian Kersting; José Santos-Victor; Luc De Raedt

    High-level Reasoning and Low-level Learning for Grasping: A Probabilistic Logic Pipeline

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1411.1108, Pages 0-10, arXiv, 2014.

  9. Marion Neumann; Roman Garnett; Christian Bauckhage; Kristian Kersting

    Propagation Kernels

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1410.3314, Pages 0-10, arXiv, 2014.

  10. Christian Bauckhage; Kristian Kersting

    Strong Regularities in Growth and Decline of Popularity of Social Media Services

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1406.6529, Pages 0-10, arXiv, 2014.

Year

More options