Vlad Hosu

I'm working on creating better models for image and video quality assessment. My aim is to understand visual quality (technical and aesthetic) in view of human visual perception. As a member of the SFB TRR 161, I've been exploring effective crowd-sourcing strategies for the estimation of perceptual dimensions, and building large-scale, ecologically valid IQA and VQA datasets.

Some of my previous works involve aesthetics assessment and image enhancement. During my doctoral studies I've developed a computational lighting design framework for creating aesthetically enhanced compositions from light stacks. 

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Vita

since 03/2016	Postdoc, University of Konstanz
02/2015 - 03/2016	Research Fellow, NUS (SoC)
10/2013 - 09/2014	Research Assistant, NUS (SoC) Collaboration FujiXerox
08/2009 - 08/2013	Doctoral Student, NUS (SoC) Thesis "Beauty as Amplified Perception [...]" (PDF).