Peyman Milanfar

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Michael EladProfessor of Computer Science, Technion, IsraelVerified email at cs.technion.ac.il
Sina FarsiuProfessor of Biomedical Engineering and Ophthalmology, DukeVerified email at duke.edu
Hiroyuki TakedaSony US Research CenterVerified email at soe.ucsc.edu
Hae-Jong SeoNVIDIAVerified email at soe.ucsc.edu
Hossein TalebiGoogle Inc.Verified email at google.com
Priyam ChatterjeeFacebookVerified email at iitbombay.org
Xiang ZhuGoogle Inc.Verified email at google.com
Amyn PoonawalaSynopsys IncVerified email at synopsys.com
Alan S. WillskyProfessor of EECS, MITVerified email at mit.edu
Clem KarlProfessor of Electrical and Computer Engineering and Biomedical Engineering, Boston UniversityVerified email at bu.edu
Filip SroubekResearch Fellow of Computer Science, UTIA, Academy of Sciences of the Czech RepublicVerified email at utia.cas.cz
Yaniv RomanoAssistant Professor of Electrical Engineering and Computer Science, Technion, IsraelVerified email at technion.ac.il
Matan ProtterAlibabaVerified email at alibaba-inc.com
Richard GardnerProfessor of Mathematics, Western Washington UniversityVerified email at wwu.edu
Ali ShakouriProfessor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Feng YangGoogle Research, Postdoc, CMU, PhD, EPFL, Master/Bachelor, Tsinghua UniversityVerified email at cs.cmu.edu
Ignacio Garcia-DoradoGoogle ResearchVerified email at google.com
Amin KheradmandSamsungVerified email at soe.ucsc.edu
Pascal GetreuerGoogle ResearchVerified email at google.com
George VergheseProfessor of Electrical and Biomedical Engineering, MITVerified email at mit.edu

Peyman Milanfar

Principal Scientist / Director, Google Research

Verified email at google.com - Homepage

Computational Imaging Image Processing Computational Photography Signal Processing Super Resolution


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Fast and robust multiframe super resolution S Farsiu, MD Robinson, M Elad, P Milanfar IEEE transactions on image processing 13 (10), 1327-1344, 2004	2531	2004
Kernel regression for image processing and reconstruction H Takeda, S Farsiu, P Milanfar IEEE Transactions on image processing 16 (2), 349-366, 2007	1544	2007
Advances and challenges in super‐resolution S Farsiu, D Robinson, M Elad, P Milanfar International Journal of Imaging Systems and Technology 14 (2), 47-57, 2004	812	2004
Generalizing the nonlocal-means to super-resolution reconstruction M Protter, M Elad, H Takeda, P Milanfar IEEE Transactions on image processing 18 (1), 36-51, 2008	805	2008
Analysis versus synthesis in signal priors M Elad, P Milanfar, R Rubinstein Inverse problems 23 (3), 947, 2007	764	2007
Static and space-time visual saliency detection by self-resemblance HJ Seo, P Milanfar Journal of Vision 9 (12), 15-15, 2009	719	2009
A Tour of Modern Image Filtering P Milanfar Signal Processing Magazine, IEEE 30 (1), 106-128, 2013	612*	2013
A computationally efficient superresolution image reconstruction algorithm N Nguyen, P Milanfar, G Golub IEEE transactions on image processing 10 (4), 573-583, 2001	581	2001
Is denoising dead? P Chatterjee, P Milanfar IEEE Transactions on Image Processing 19 (4), 895-911, 2009	489	2009
Multi-frame demosaicing and super-resolution of color images S Farsiu, P Milanfar, M Elad IEEE Transactions on Image Processing 15 (1), 141-159, 2006	436	2006
Automatic parameter selection for denoising algorithms using a no-reference measure of image content X Zhu, P Milanfar IEEE transactions on image processing 19 (12), 3116-3132, 2010	422	2010
Super-resolution Imaging P Milanfar CRC Press, 2010	380*	2010
Clustering-based denoising with locally learned dictionaries P Chatterjee, P Milanfar IEEE transactions on Image Processing 18 (7), 1438-1451, 2009	347	2009
Patch-based near-optimal image denoising P Chatterjee, P Milanfar Image Processing, IEEE Transactions on 21 (4), 1635-1649, 2011	341	2011
Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement N Nguyen, P Milanfar, G Golub IEEE Transactions on image processing 10 (9), 1299-1308, 2001	338	2001
Super-resolution without explicit subpixel motion estimation H Takeda, P Milanfar, M Protter, M Elad IEEE Transactions on Image Processing 18 (9), 1958-1975, 2009	329	2009
NIMA: Neural image assessment H Talebi, P Milanfar IEEE Transactions on Image Processing 27 (8), 3998-4011, 2018	285	2018
The little engine that could: Regularization by denoising (RED) Y Romano, M Elad, P Milanfar SIAM Journal on Imaging Sciences 10 (4), 1804-1844, 2017	275	2017
Fundamental performance limits in image registration D Robinson, P Milanfar IEEE Transactions on Image Processing 13 (9), 1185-1199, 2004	261	2004
A wavelet-based interpolation-restoration method for superresolution (wavelet superresolution) N Nguyen, P Milanfar Circuits, Systems and Signal Processing 19 (4), 321-338, 2000	232	2000

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