Hi, I’m Johannes! 🙂
I am currently a PhD student in the Computer Vision & Learning group at the University of Munich, under the supervision of Prof. Björn Ommer, where I am working on diffusion and flow models for efficient and scalable image synthesis.
I started my academic journey with an undergraduate study in Psychology at LMU Munich. Alongside this, I started a second degree in Computer Science, where I discovered my passion for machine & deep learning.
During my master’s studies in Intelligent Interactive Systems at UPF in Barcelona, I mainly followed the computer vision track. In theoretical lectures and practical lab sessions I was able to gain a solid and deep understanding of machine & deep learning algorithms and their application, especially in the computer vision domain.
After completing my master’s, I worked on healthcare-related machine learning in the Trustworthy AI division of the Fraunhofer Institute of Cognitive Systems. At the same time, I interned at the Computer Vision & Learning group at LMU Munich, where I worked on video diffusion models for probabilistic weather nowcasting. This research eventually led me to begin my PhD in March 2023.
Outside of my academic pursuits, I enjoy cycling 🚲 and hiking in the mountains ⛰️. 🙂
Research
DistillDIFT: Distillation of Diffusion Features for Semantic Correspondence
Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer. WACV 2025.
Project Page | Paper | Code
Diffusion Models and Representation Learning: A Survey
Michael Fuest, Pingchuan Ma, Ming Gui, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer. arxiv.
DepthFM: Fast Monocular Depth Estimation with Flow Matching
Ming Gui*, Johannes Schusterbauer*, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan A. Baumann, Vincent Tao Hu, Björn Ommer. AAAI 2025.
Project Page | Paper | Code
Boosting Latent Diffusion with Flow Matching
Johannes Schusterbauer*, Ming Gui*, Pingchuan Ma*, Nick Stracke, Stefan Baumann, Björn Ommer. ECCV 2024 (Oral).
Project Page | Paper | Code
Education
M. Sc. Intelligent Interactive Systems, University Pompeu Fabra, Barcelona
B. Sc. Computer Science, Ludwig-Maximilians-University, Munich
B. Sc. Psychology, Ludwig-Maximilians-University, Munich
Work Experience
03/2023 – now: PhD Student, Computer Vision & Learning Group, LMU, Munich
05/2022 – 02/2023: Part-Time Internship, Computer Vision & Learning Group, LMU, Munich
12/2021 – 02/2023: Research Assistant, Division Trustworthy AI, Fraunhofer IKS, Munich
10/2018 – 12/2020: Research Assistant, Department of Clinical Neuropsychology, LMU, Munich
Interests
- Diffusion & Flow Models
- Robotics
- Neuroscience