Affiliation

Ph.D. / Researcher @ Mathematics of Imaging and AI (MIA)
Supervisors: Prof. Dr. Christoph Brune , Dr. Jelmer M. Wolterink

Research Interests

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Publications

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  1. Thumbnail for Fourier-basis Functions to Bridge Augmentation Gap
    "Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification."
    Vaish, P., Wang, S., Strisciuglio, N.
    Computer Vision and Pattern Recognition (CVPR), 2024.
    [CVPR Open Access] [arXiv] [GitHub]
  2. Thumbnail for Joint Manifold Learning and Optimal Transport for Dynamic Imaging
    "Joint Manifold Learning and Optimal Transport for Dynamic Imaging."
    Dummer, S., Vaish, P., Brune, C.
    Scale Space and Variational Methods in Computer Vision (SSVM), 2025.
    [Springer NatureLink] [arXiv] [GitHub]
  3. Thumbnail for Consistent View Alignment Improves Foundation Models for 3D Medical Image Segmentation
    "Consistent View Alignment Improves Foundation Models for 3D Medical Image Segmentation."
    Vaish, P., Meister, F., Heimann, T., Brune, C., Wolterink, J. M.
    Preprint (in-review), 2025.
    [arXiv] [GitHub]

Projects

LiteSSL

LiteSSL

A unified, benchmarked codebase for training and comparing well-known self-supervised vision methods (DINO, iBOT, LeJEPA) under identical conditions.

machine-learning self-supervised-learning computer-vision open-source
Intelligent Sail Shape Processing

Intelligent Sail Shape Processing

Computer vision app that measures and compares sail shape from photos, developed with North Sails and Alive Industries.

computer-vision machine-learning mobile-app

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Experience

Education

Hosted on GitHub Pages — Adapted from Takeru Miyato’s template.