Leon Sick
Visual Computing Group. Ulm University
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
Nov 5, 2024 | I’m happy to be recognized as a top reviewer at NeurIPS 2024! My first time as a reviewer, great to give back to the community :) |
---|---|
Oct 28, 2024 | Our paper on attention-guided masked autoencoders is accepted at WACV 2025! This was joint work with Dominik Engel, Pedro Hermosilla and Timo Ropinski. |
May 13, 2024 | I’m co-author on great work by Dominik Engel on self-supervised vision transformers for segmentation-based transfer function design, which was accepted at TVCG! |
Feb 28, 2024 | My first author paper on depth-guided unsupervised semantic segmentation is accepted at CVPR 2024! 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! |
publication highlights
2024
- Attention-Guided Masked Autoencoders For Learning Image RepresentationsIEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jun 2024
- Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy ImagesInternational Conference on Learning Representations (ICLR), Jun 2024
2023
- Leveraging Self-Supervised Vision Transformers for Neural Transfer Function DesignTransactions On Visualization and Computer Graphics (TVCG), Jun 2023