Leon Sick

Visual Computing Group. Ulm University

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Hi and welcome! I’m currently a Ph.D. student at Liebherr and Ulm University where I’m part of the Visual Computing Group. My main supervisor is Timo Ropinski, but I also work closely with Pedro Hermosilla. My research is mainly focused on self-supervised pre-training, unsupervised segmentation, and different applications of Vision Transformers. Currently, I’m working hard to fill my publications page!

I also try to regularly write blog posts explaining papers to starters in the field of AI. If you are interested, feel free to stop by on Medium.

And when I’m not researching, you can either find me on a sail boat or fishing during summer, but also skiing in the winter.

news

Feb 28, 2024 My first author paper on depth-guided unsupervised semantic segmentation is accepted at CVPR 2024! :tada: :rocket: :sparkles: Joint work with Dominik Engel, Pedro Hermosilla and Timo Ropinski.
Jan 16, 2024 I’m co-author on amazing work by Hannah Kniesel on weakly-supervised virus capsid detection from electron microscopy images, which was accepted at ICLR 2024! :tada: :rocket: :sparkles:

publication highlights

2024

  1. depthg-preview.png
    Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
    Leon Sick, Dominik Engel, Pedro Hermosilla, and Timo Ropinski
    Conference on Computer Vision and Pattern Recognition (CVPR), 2024
    arXiv
  2. attg-preview.png
    Attention-Guided Masked Autoencoders For Learning Image Representations
    Leon Sick, Dominik Engel, Pedro Hermosilla, and Timo Ropinski
    2024
    arXiv
  3. wscd-preview.png
    Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
    Hannah Kniesel, Leon Sick, Tristan Payer, Tim Bergner, Kavitha Sshaga Devan, and 4 more authors
    International Conference on Learning Representations (ICLR), 2024
    HTML