Michael Neumayr

M.Sc. Computer Science @ TUM

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I am a second-year Master’s student interested in 3D computer vision and generative models. Currently, I am doing my thesis at University of Toronto under the supervision of David Lindell and Sherwin Bahmani, co-supervised by Matthias Nießner at TUM. Previously, I worked as research assistant at the Ommerlab with Stephan Baumann.

During my studies, I worked on several projects, including one course project on 3D generation supervised by Chuanxia Zheng (VGG at Oxford), and another one on generalizable novel view synthesis supervised by David Rozenberszki. Additionally, I conducted research on diffusion models in medical imaging under Cosmin Bercea and Julia Schnabel.

I am engaged in the educational offerings of TUM.ai for over two years and organize the TUM.ai paper reading circle on (3D) computer vision and generative modeling. Previously, I obtained my B.Sc. in Computer Science and B.A. in Philosophy from the University of Munich.

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
    arXiv PDF Code Website
    2 Google Scholar citations
  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
    arXiv HTML PDF Code Website
    26 Google Scholar citations
  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
    HTML PDF Code Slides
    5 Google Scholar citations

News

Sep 01, 2024 I joined the lab of David Lindell at the University of Toronto as visiting graduate student for seven months to do my master thesis.
Oct 02, 2023 I attended 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 I started my Master of Science in Computer Science at the Technical University of Munich (TUM).
Sep 30, 2022 I finished my Bachelor of Arts in Philosophy at the University of Munich (LMU).
Aug 14, 2022 I attended 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 I finished my Bachelor of Science in Computer Science at the University of Munich (LMU).