Leon Sick

According to our database, Leon Sick authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Leveraging Self-Supervised Vision Transformers for Segmentation-Based Transfer Function Design.

Dominik Engel, Leon Sick, Timo Ropinski

IEEE Trans. Vis. Comput. Graph., August, 2025

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

CoRR, August, 2025

Attention-Guided Masked Autoencoders for Learning Image Representations.

Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding.

Pedro Hermosilla, Christian Stippel, Leon Sick

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the International Conference on 3D Vision, 2025

2024

CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation.

Leon Sick, Dominik Engel, Sebastian Hartwig, Pedro Hermosilla, Timo Ropinski

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

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling.

Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Spatially Guiding Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling.

Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski

CoRR, 2023

Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design.

Dominik Engel, Leon Sick, Timo Ropinski

CoRR, 2023