Shree K. Nayar

T. C. Chang Chaired Professor, Columbia University
Computational Imaging, Computer Vision, Computer Graphics, Robotics, Human-Computer Interfaces

Title of Presentation

“Computational Cameras: Redefining the Image”

Computational cameras use new optics to capture a coded image, and an appropriate algorithm to decode the captured image. This approach has enabled us to develop imaging functionalities that would be difficult, if not impossible, to achieve using traditional imaging. In this talk, we will show examples of cameras that have had large-scale impact on both machine intelligence and the way we communicate with each other.


Web Site URL
A brief Biography(As of April 1, 2019)


Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Vision Laboratory (CAVE), which develops advanced computational imaging and computer vision systems. He received his PhD degree in Electrical and Computer Engineering from the Robotics Institute at Carnegie Mellon University. For his research and teaching he has received several honors including the David Marr Prize (1990 and 1995), the David and Lucile Packard Fellowship (1992), the National Young Investigator Award (1993), the NTT Distinguished Scientific Achievement Award (1994), the Keck Foundation Award for Excellence in Teaching (1995), the Columbia Great Teacher Award (2006), and the Carnegie Mellon Alumni Achievement Award (2009). For his seminal contributions to computer vision and computational imaging, he was elected to the National Academy of Engineering in 2008, the American Academy of Arts and Sciences in 2011, and the National Academy of Inventors in 2014. Nayar is currently on leave from Columbia University and is serving as Director of NYC Research for Snap, Inc.


Details of selected Awards and Honors
A list of selected Publications