Advisor(s):
Peter Vincent Gehler
2014 - now: Ph.D. Student
Max Planck Institute for Intelligent Systems, Perceiving Systems Department, Tübingen, Germany
2004 – 2013: Diploma Student
Computer Science and Mathematics - Eberhard-Karls-Universität Tübingen, Germany
2003 - 2004: Military Service
German Air Force in Roth and Landsberg, Germany
1994 – 2003: High School Student
Gymnasium Neckartenzlingen in Neckartenzlingen, Germany
2017 - today: Teaching Assistant at the Julius-Maximilians Universität Würzburg, Germany
Probabilistic Inference
2005 - 2012: Teaching Assistant at the Eberhard-Kars-Universität Tübingen, Germany
Computer Engineering (2 semesters), Mathematics for Computer Scientists (4 semesters), Theoretical Computer Science (2 semesters), Algebraical and Combinatorial Applications in Computer Science (1 semester), Pre-Course Mathematics (2 weeks per course, 6 courses)
2006 - 2011: Research Assistant at the Eberhard-Kars-Universität Tübingen, Germany
Chairs of Computer Engineering (1 year), Discrete Mathematics (1 year), Formal Languages (0.5 years)
I work on decomposing photographs into intrinsic layers, meaning its reflectance and shading components. Knowing this information helps in many computer vision areas. I am specifically interested in physically correct inpainting. In this process, one needs to estimate where the light sources are, which material the objects are made of, what the room geometry is, etc.
Intrinsic images correspond to physical properties of the scene. It is a long-standing hypothesis that these fundamental scene properties provide a foundation for scene interpretation.
To decouple albedo and shading given a single image, we introduce a novel prior on albedo, that models albedo values as being drawn fr...
Naejin Kong Martin Kiefel Peter Vincent Gehler Michael Black Thomas Nestmeyer
This is the project page for the paper "Reflectance Adaptive Filtering Improves Intrinsic Image Estimation" \cite{nestmeyer2017reflectanceFiltering}, which appears at CVPR 2017 and can be found at https://arxiv.org/abs/1612.05062.
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