Scholar
Dominik Engel
Google Scholar ID: KugVU5oAAAAJ
King Abdullah University of Science and Technology
Citations & Impact
Citations
95
H-index
5
i10-index
4
Publications
13
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Published paper 'Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design' to be featured in IEEE TVCG 2024; involved in projects such as Inviwo Visualization Framework (a modular C++ framework for rapid visualization prototyping) and torchvtk (a PyTorch-based framework for efficient loading, caching, and transformation of volumetric data). Also contributed to various works on unsupervised semantic segmentation, attention-guided masked autoencoders, etc.
Research Experience
- Research Associate, PhD Student, Ulm University, December 2018 – May 2024, Ulm, Germany. Research areas include deep learning in scientific visualization, self-supervised learning, computer graphics & computer vision, GPU cluster & training infrastructure.
Education
- PhD in Computer Science, 2024, Ulm University; MSc in Media Informatics, 2018, Ulm University; BSc in Computer Science, 2016, Ulm University.
Background
- Research Interests: Deep Learning, Computer Graphics, Computer Vision. Biography: Currently doing research on deep learning on visual data. Previously, obtained a PhD at Ulm University in the Visual Computing Group, working at the intersection of deep learning and volume rendering.
Miscellany
- Passionate about coding, coffee, Linux, games, and all kinds of funky tech.
