Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design. - Dominik Engel; Leon Sick; Timo Ropinski (CoRR, 2023)

Spatially Guiding Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling. - Leon Sick; Dominik Engel; Pedro Hermosilla; Timo Ropinski (CoRR, 2023)

Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling. - Leon Sick; Dominik Engel; Pedro Hermosilla; Timo Ropinski (CVPR, 2024)

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)

TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models. - Lisa Weijler; Muhammad Jehanzeb Mirza; Leon Sick; Can Ekkazan; Pedro Hermosilla (CoRR, 2024)

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 (CoRR, 2024)

CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation. - Leon Sick; Dominik Engel; Sebastian Hartwig; Pedro Hermosilla; Timo Ropinski (CoRR, 2024)

Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding. - Pedro Hermosilla; Christian Stippel; Leon Sick (CVPR, 2025)

Attention-Guided Masked Autoencoders for Learning Image Representations. - Leon Sick; Dominik Engel; Pedro Hermosilla; Timo Ropinski (WACV, 2025)

Leveraging Self-Supervised Vision Transformers for Segmentation-Based Transfer Function Design. - Dominik Engel; Leon Sick; Timo Ropinski (IEEE Trans. Vis. Comput. Graph., 2025)