Rate My Professor Shree Nayar

Nayar's research centers on the creation of novel cameras that provide new forms of visual information, the design of physics-based models for vision and graphics, and the development of algorithms for understanding scenes from images. These efforts support applications in imaging, computer vision, robotics, virtual reality, augmented reality, visual communication, computer graphics, and human-computer interfaces. He has received numerous awards, including the David Marr Prize in 1990 and 1995, David and Lucile Packard Fellowship in 1992, National Young Investigator Award in 1993, NTT Distinguished Scientific Achievement Award in 1994, Keck Foundation Award for Excellence in Teaching in 1995, Columbia Great Teacher Award in 2006, Carnegie Mellon Alumni Achievement Award in 2009, Sony Appreciation Honor in 2014, Columbia Engineering Distinguished Faculty Teaching Award in 2015, IEEE PAMI Distinguished Researcher Award in 2019, Funai Achievement Award in 2021, and Okawa Prize in 2023. He was elected to the National Academy of Engineering in 2008, American Academy of Arts and Sciences in 2011, National Academy of Inventors in 2014, and Indian National Academy of Engineering in 2022. Key publications include 'Columbia Object Image Library (COIL-100)' (1996), 'Visual Learning and Recognition of 3-D Objects from Appearance' (1995), 'Vision and the Atmosphere' (2002), 'Contrast Restoration of Weather Degraded Images' (2003), and 'Reflectance and Texture of Real-World Surfaces' (1999). Nayar presents the 'First Principles of Computer Vision' lecture series.