| Deep Volumetric Ambient Occlusion D Engel, T Ropinski IEEE Transactions on Visualization and Computer Graphics 27 (2), 1268-1278, 2020 | 27 | 2020 |
| Finding nano-Ötzi: cryo-electron tomography visualization guided by learned segmentation N Nguyen, C Bohak, D Engel, P Mindek, O Strnad, P Wonka, S Li, ... IEEE Transactions on Visualization and Computer Graphics 29 (10), 4198-4214, 2022 | 10* | 2022 |
| Evaluating Text to Image Synthesis: Survey and Taxonomy of Image Quality Metrics S Hartwig, D Engel, L Sick, H Kniesel, T Payer, T Ropinski arXiv preprint arXiv:2403.11821, 2024 | 3 | 2024 |
| Differentiable electron microscopy simulation: Methods and applications for visualization N Nguyen, F Liang, D Engel, C Bohak, P Wonka, T Ropinski, I Viola arXiv preprint arXiv:2205.04464, 2022 | 3 | 2022 |
| Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling L Sick, D Engel, P Hermosilla, T Ropinski Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Clusternet: A perception-based clustering model for scattered data S Hartwig, C van Onzenoodt, D Engel, P Hermosilla, T Ropinski arXiv preprint arXiv:2304.14185, 2023 | 1 | 2023 |
| Monocular depth decomposition of semi-transparent volume renderings D Engel, S Hartwig, T Ropinski IEEE Transactions on Visualization and Computer Graphics, 2023 | 1 | 2023 |
| Property-Based Testing for Visualization Development M Stegmaier, D Engel, J Olbrich, T Ropinski, M Tichy EuroVis 2021 VisGap Workshop, 2021 | 1 | 2021 |
| Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design D Engel, L Sick, T Ropinski IEEE Transactions on Visualization and Computer Graphics, 2024 | | 2024 |
| Towards Differentiable Electron Microscopy Simulation: Methods and Applications N Nguyen, F Liang, D Engel, C Bohak, O Strnad, T Ropinski, I Viola 2024 IEEE 17th Pacific Visualization Conference (PacificVis), 62-71, 2024 | | 2024 |
| Attention-Guided Masked Autoencoders For Learning Image Representations L Sick, D Engel, P Hermosilla, T Ropinski arXiv preprint arXiv:2402.15172, 2024 | | 2024 |
| Spatially Guiding Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling L Sick, D Engel, P Hermosilla, T Ropinski arXiv preprint arXiv:2309.12378, 2023 | | 2023 |
Timo RopinskiUlm UniversityVerified email at uni-ulm.de
