Projects

Project Group A: Models and Measures

A01 | Uncertainty Quantification and Analysis in Visualization

A03 | Quantification of Visual Explainability

A07 | Spatio-temporal Models of Human Attention for Optimization of Information Visualizations

A08 | Learning and Explaining Dimensionality Reduction through Visualization

A09 | Scalability and Complexity in Immersive Analytics

Project Group B: Adaptive Algorithms

B01 | Adaptive Self-Consistent Visualization

B04 | Adaptive Algorithms for Motion Estimation

B06 | Adaptive Algorithms for Graph Views and View Transitions

Project Group C: Interaction

C01 | Evaluating Mixed Reality Experiences

C05 | Human-Machine Interaction with Adaptive Multisensory Systems

C06 | User-Adaptive Mixed Reality

C07 | Optimization for Dynamic Mixed Reality User Interfaces

Project Group D: Applications

D02 | Visual Analytics for Linguistic Representations

D04 | Quantitative Aspects of Immersive Analytics for the Life Sciences

D05 | Visual Computing for ERP-based Brain Activity

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Ö | Public Relations

Completed Projects

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© SFB-TRR 161 | Quantitative Methods for Visual Computing | 2019.