Deep Volumetric Ambient Occlusion
Dominik Engel and Timo Ropinski: "Deep Volumetric Ambient Occlusion" in IEEE Transactions on Visualization and Computer Graphics (2020).
CV
Education
- B.Sc. in Computer Science, Ulm University, 2016
- M.Sc. in Media Informatics, Ulm University, 2018
- Ph.D in Computer Science, Ulm University, ongoing
Work experience
- 2013-2018 Daimler TSS GmbH: Working Student
- Web Development (HTML, Angular), CI
- Computer Vision
- Bachelor Thesis: Visualization of robotic motion paths
- Master Thesis: Deep-learning based 6D object detection
- 2018-now Ulm University: Research Associate
Skills
- Python: PyTorch, NumPy, matplotlib, multiprocessing, CuPy
- C++ 17
- Docker, Git
Publications
Property-Based Testing for Visualization Development
Michael Stegmaier et al.: "Property-Based Testing for Visualization Development" in The Eurographics Association VisGap Workshop (2021).
Finding Nano-Ötzi: Semi-Supervised Volume Visualization for Cryo-Electron Tomography
Ngan Nguyen et al.: "Finding Nano-Ötzi: Semi-Supervised Volume Visualization for Cryo-Electron Tomography"in IEEE Transactions on Visualization and Computer Graphics (2022).
Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization
Nguyen et al.: "Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization" arXiv:2205.04464
Monocular Depth Decomposition of Semi-Transparent Volume Renderings
Dominik Engel et al.: "Monocular Depth Decomposition of Semi-Transparent Volume Renderings" IEEE TVCG 2023.
Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design
Dominik Engel et al.: "Leveraging Self-Supervised Vision Transformers for Neural Transfer Function Design" arXiv:2309.01408.
Spatially Guiding Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling
Leon Sick et al.: "Spatially Guiding Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling" arXiv:2309.12378