Universität Ulm
Institute of Media Informatics
Visual Computing Group logo Visual Computing Group Ulm University

Before joining the Visual Computing research group as a PhD student, I completed my masters degree in Business Information Technolgy at the HTWG Konstanz in 2021. While my thesis focuses were on variational inference, uncerainty estimation and active learning for computer vision tasks, I now work on Unsupervised Segmentation & Representation Learning. From 2021 to 2024, I was employed as an external PhD student at the Liebherr Digital Development Center.

Research interests

  • Unsupervised Segmentation
  • Unsupervised Representation Learning
  • Research on Vision Transformers

Publications

9 papers
S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation
S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation
Leon Sick, Lukas Hoyer, Dominik Engel, Pedro Hermosilla, Timo Ropinski
arXiv ‹›Code
A Survey on Quality Metrics for Text-to-Image Generation
A Survey on Quality Metrics for Text-to-Image Generation
Sebastian Hartwig, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
TVCG 2025 ↓PDF
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
Pedro Hermosilla, Christian Stippel, Leon Sick
CVPR 2025 ‹›Code
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
Leon Sick, Dominik Engel, Sebastian Hartwig, Pedro Hermosilla, Timo Ropinski
ICCV 2025 ▶Video
Attention-Guided Masked Autoencoders For Learning Image Representations
Attention-Guided Masked Autoencoders For Learning Image Representations
Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski
WACV 2025
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
arXiv ↓PDF
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
Hannah Kniesel, Leon Sick, Tristan Payer, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Timo Ropinski, Pedro Hermosilla
ICLR 2024 ↓PDF ‹›Code
Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling
Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling
Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski
CVPR 2024 ↓PDF ‹›Code ▶Video
Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design
Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design
Dominik Engel, Leon Sick, Timo Ropinski
TVCG 2024 ↓PDF ‹›Code ▶Video
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