Dominik Engel

Orcid: 0000-0002-5766-7215

Affiliations:

Ulm University, Visual Computing Group, Germany (PhD)

According to our database¹, Dominik Engel authored at least 21 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

A Survey on Quality Metrics for Text-to-Image Generation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Dominik Engel

Leon Sick

Timo Ropinski

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

RaRa Clipper: A Clipper for Gaussian Splatting Based on Ray Tracer and Rasterizer.

[BibT_eX]

[DOI]

CoRR, June, 2025

HPSCAN: Human Perception-Based Scattered Data Clustering.

[BibT_eX]

[DOI]

Sebastian Hartwig

Christian van Onzenoodt

Dominik Engel

Pedro Hermosilla

Timo Ropinski

Comput. Graph. Forum, February, 2025

Attention-Guided Masked Autoencoders for Learning Image Representations.

[BibT_eX]

[DOI]

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

2024

Monocular Depth Decomposition of Semi-Transparent Volume Renderings.

[BibT_eX]

[DOI]

Dominik Engel

Sebastian Hartwig

Timo Ropinski

IEEE Trans. Vis. Comput. Graph., July, 2024

Deep learning in volume rendering.

[BibT_eX]

[DOI]

Dominik Engel

PhD thesis, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Differentiable Electron Microscopy Simulation: Methods and Applications.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

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

[BibT_eX]

[DOI]

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

2023

Finding Nano-Ötzi: Cryo-Electron Tomography Visualization Guided by Learned Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., October, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Dominik Engel

Leon Sick

Timo Ropinski

CoRR, 2023

2022

Monocular Depth Estimation for Semi-Transparent Volume Renderings.

[BibT_eX]

[DOI]

Dominik Engel

Sebastian Hartwig

Timo Ropinski

CoRR, 2022

Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Deep Volumetric Ambient Occlusion.

[BibT_eX]

[DOI]

Dominik Engel

Timo Ropinski

IEEE Trans. Vis. Comput. Graph., 2021

Property-Based Testing for Visualization Development.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on the Gap between Visualization Research and Visualization Software, 2021

2019

Inviwo.

[BibT_eX]

[DOI]

Dataset, September, 2019

Inviwo.

[BibT_eX]

[DOI]

Dataset, September, 2019

Inviwo.

[BibT_eX]

[DOI]

Dataset, September, 2019

Dominik Engel

Timeline

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