Publications

Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski (2024). Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski (2024). Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics. arxiv https://arxiv.org/abs/2403.11821.

Dominik Engel (2024). Deep Learning in Volume Rendering.

Sebastian Hartwig, Christian Van Onzenoodt, Dominik Engel, Pedro Hermosilla, Timo Ropinski (2024). ClusterNet: A Perception-Based Clustering Model for Scattered Data. arXiv preprint arXiv:2304.14185.

Leon Sick, Dominik Engel, Pedro Hermosilla, Timo Ropinski (2024). Attention-Guided Masked Autoencoders For Learning Image Representations. arXiv preprint arXiv:2402.15172.

Dominik Engel, Leon Sick, Timo Ropinski (2023). Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design. IEEE TVCG 2024.

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Dominik Engel, Sebastian Hartwig, Timo Ropinski (2022). Monocular Depth Decomposition of Semi-Transparent Volume Renderings. IEEE TVCG 2023.

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Ngan Nguyen, Feng Liang, Dominik Engel, Ciril Bohak, Peter Wonka, Timo Ropinski, Ivan Viola (2022). Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization. PacificVis 2024.

Ngan Nguyen, Ciril Bohak, Dominik Engel, Peter Mindek, Ondřej Strnad, Peter Wonka, Sai Li, Timo Ropinski, Ivan Viola (2021). Finding Nano-Ötzi: Cryo-Electron Tomography Visualization Guided by Learned Segmentation. IEEE TVCG 2023.

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Michael Stegmaier, Dominik Engel, Jannik Olbrich, Timo Ropinski, Matthias Tichy (2021). Property-Based Testing for Visualization Development. EuroGraphics/VisGap 2021.

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Dominik Engel, Timo Ropinski (2021). Deep Volumetric Ambient Occlusion. IEEE TVCG 2021.

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