Scholar
Peyman Milanfar
Google Scholar ID: iGzDl8IAAAAJ
Distinguished Scientist, Google
Citations & Impact
Citations
14,466
H-index
52
i10-index
126
Publications
20
Co-authors
121
list available
Publications
Resume (English only)
Academic Achievements
- He has published numerous papers and holds over two dozen patents. He founded MotionDSP, which was acquired by Cubic Inc. His research work has had a deep impact in several areas of computational imaging, including the introduction of adaptive kernel regression to imaging, pioneering use of learning for fast, content-adaptive image upscaling (RAISR), Neural Image Quality Assessment (NIMA), Regularization by Denoising (RED), and most recently Inversion by Direct Iteration (InDI). All of these works have been recognized with best paper awards.
Research Experience
- At Google, he has developed several core imaging technologies, such as the zoom pipeline for Pixel phones (including multi-frame super-resolution) and several generations of advanced digital upscaling algorithms. Recently, his team led the development of Unblur and Zoom Enhance features. He was a Professor of Electrical Engineering at UC Santa Cruz for 15 years, including two years as Associate Dean for Research. From 2012-2014, he was on leave at Google-x, where he helped develop the imaging pipeline for Google Glass.
Education
- He received his undergraduate education in electrical engineering and mathematics from UC Berkeley, and his MS and PhD degrees in electrical engineering from MIT.
Background
- Peyman is a Distinguished Scientist at Google, leading the Computational Imaging team. His research interests include computational imaging, image processing, and applications of AI in imaging.
Miscellany
- He has been a Distinguished Lecturer of the IEEE Signal Processing Society and is a Fellow of the IEEE 'for contributions to inverse problems and super-resolution in imaging'.
