Frank Fundel

I am currently working as a PhD student in the Computer Vision & Learning group at LMU Munich (Ommer-Lab). My research focuses on internal representations of large diffusion models. I am also passionate about applying my skills to real-world problems like bioacoustics and conservation. When I am not in front of the computer, I enjoy being outdoors, running, hiking, and scuba diving.

Frank Fundel

🔥 News

March 2025: Happy to start my PhD at the Ommer-Lab.

February 2025: Two papers accepted at CVPR 2025.

October 2024: First author paper accepted at WACV 2025.

July 2024: Started my internship at the Ommer-Lab.

Research

🧹CleanDIFT: Diffusion Features without Noise

🧹CleanDIFT: Diffusion Features without Noise

Nick Stracke, Stefan A. Baumann, Kolja Bauer, Frank Fundel, Björn Ommer

CVPR 2025

A novel method to extract noise-free, timestep-independent features by enabling diffusion models to work directly with clean input images.

Distillation of Diffusion Features for Semantic Correspondence

Distillation of Diffusion Features for Semantic Correspondence

Frank Fundel, Johannes Schusterbauer, Vincent Tao Hu, Björn Ommer

WACV 2025

We demonstrate how to distill two large vision foundation models into a smaller, high-accuracy model with lower computational cost.

Automatic bat call classification using transformer networks

Automatic bat call classification using transformer networks

Frank Fundel, Daniel A. Braun, Sebastian Gottwald

Ecological Informatics

ConvNet-Transformer hybrid model enables sequence-based bat call classification, surpassing previous single call approaches..