Biosketch
Tunç is a post-doctoral researcher at Disney Research Zürich with the Advanced Video Technology Group. He holds a Ph.D. degree from Max-Planck-Institut für Informatik, where he worked as a research associate in the Computer Graphics Department from 2006-2011. His doctoral work on Human Visual System Models in Computer Graphics has been supervised by Karol Myszkowski and Hans-Peter Seidel. He received his M.S. degree in Computer Science from the College of Computing at Georgia Institute of Technology, and his B.S. degree in Civil Engineering from Istanbul Teknik Üniversitesi.
Tunç's main research interest is the human visual system. His work focuses on building practical models based on physiological findings and psychophysical experiments, and applying these models to a variety of computer graphics and vision problems. He regularly acts as a reviewer for major conferences and journals. More recently he served as a committee member in APGV 2011, and a paper's chair in Eurographics 2011 HDR Area Program. See his CV and LinkedIn for further information.
Publications
NoRM: No-Reference Image Quality Metric for Realistic Image Synthesis
Robert Herzog, Martin Cadik, Tunç O. Aydın, Karol Myszkowski, Hans-Peter Seidel
EUROGRAPHICS, 2012.
Multidimensional Image Retargeting
Alessandro Artusi, Tunç O. Aydın, Francesco Banterle, Piotr Didyk, Elmar Eisemann, Diego Gutierrez, Rafal Mantiuk, Karol Myszkowski
ACM SIGGRAPH Asia, 2011 (Course).
On Evaluation of Video Quality Metrics
Martin Čadík, Tunç O. Aydın, Karol Myszkowski and Hans-Peter Seidel
Proc. of IS&T/SPIE Human Vision and Electronic Imaging, 2011.
Human Visual System Models in Computer Graphics
Tunç O. Aydın
PhD Thesis, 2010.
Video Quality Assessment for Computer Graphics Applications
Tunç O. Aydın, Martin Čadík, Karol Myszkowski and Hans-Peter Seidel
ACM SIGGRAPH Asia, 2010.
[pdf] [bib] [validation] [formulae] [mp4 video] [online implementation]
Visually Significant Edges
Tunç O. Aydın, Martin Čadík, Karol Myszkowski and Hans-Peter Seidel
ACM Transactions on Applied Perception (TAP), 2010.
Presented at Symposium on Applied Perception in Graphics and Visualization (APGV), 2010.
Images from the article appeared in TAP’s front page cover.
Contrast Prescription for Multiscale Image Editing
Dawid Pajak, Martin Čadík, Tunç O. Aydın, Makoto Okabe, Karol Myszkowski and Hans-Peter Seidel
Visual Computer (Springer Verlag), 2010
[pdf] [bib] [xvid video] [win32 binaries] [linux binaries] [website]
Visual Maladaptation in Contrast Domain
Dawid Pajak, Martin Čadík, Tunç O. Aydın, Karol Myszkowski and Hans-Peter Seidel
Proc. of IS&T/SPIE Human Vision and Electronic Imaging, 2010.
Predicting Display Visibility under Dynamically Changing Lighting Conditions
Tunç O. Aydın, Karol Myszkowski and Hans-Peter Seidel
EUROGRAPHICS, 2009.
