Michael Neumayr

M.Sc. Computer Science @ TUM

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I am a second-year Master’s student at the Technical University of Munich. I am interested in 3D computer vision, generative models and fruitfully combining the two. Currently, I am doing a research project supervised by Chuanxia Zheng and Yan Xia (VGG at Oxford). I also work as a research assistant at the Ommerlab supervised by Stephan Baumann.

For almost two years now, I am engaged in the educational offerings of TUM.ai and organize the TUM.ai paper reading circle discussing papers on (3D) computer vision, generative modeling and machine learning in general. Feel free to reach out if you want to join a session.

Previously, I obtained my B.Sc. in Computer Science and B.A. in Philosophy from the University of Munich.

News

Oct 02, 2023 I will be attending ICCV 2023 in Paris from October 2, 2023 - October 6, 2023.
Jun 20, 2023 Our paper Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models got accepted to IMLH 2023 (ICML Workshop in third iteration).
Oct 01, 2022 Started Master of Science in Computer Science at the Technical University of Munich (TUM).
Sep 30, 2022 Finished Bachelor of Arts in Philosophy at the University of Munich (LMU).
Aug 14, 2022 I will be attending KDD 2022 in Washington from August 14, 2022 - August 18, 2022.
May 19, 2022 Our paper The DipEncoder: Enforcing Multimodality in Autoencoders based on the findings from my Bachelor’s thesis got accepted to KDD 2022.
Feb 12, 2022 Finished Bachelor of Science in Computer Science at the University of Munich (LMU).

Publications

  1. attribute.png
    Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
    Stefan Andreas Baumann, Felix Krause , Michael Neumayr, and 3 more authors
    2024
  2. autoddpm.gif
    Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
    Cosmin I Bercea*Michael Neumayr*Daniel Rueckert, and 1 more author
    In ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH) , 2023
  3. dipencoder.png
    The Dipencoder: Enforcing multimodality in autoencoders
    Collin Leiber, Lena GM Bauer , Michael Neumayr, and 2 more authors
    In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , 2022