Dr. Vlad Hosu

I am developing models for visual quality assessment. This requires an understanding of technical and aesthetic quality in view of human visual perception. As a member of the SFB TRR 161, I've been exploring effective crowd-sourcing strategies for psychometrics, building representative datasets and designing predictive machine learning approaches.

Some of my previous work involves image super-resolution, aesthetics assessment, and computational lighting design.

Vita

since 03/2016Postdoc, University of Konstanz
02/2015 - 03/2016Research Fellow, NUS (SoC)
10/2013 - 09/2014Research Assistant, NUS (SoC)
Collaboration FujiXerox
08/2009 - 08/2013

Doctoral Student, NUS (SoC)
Thesis "Beauty as Amplified Perception [...]" (PDF).