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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
124
Citations
63192
World Ranking
121
National Ranking
71

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2014 - Fellow, National Academy of Inventors
  • 2011 - Fellow of the American Academy of Arts and Sciences
  • 2008 - Member of the National Academy of Engineering For the development of computational cameras and physics-based models for computer vision and computer graphics.

Overview

Shree K. Nayar is affiliated with Columbia University in the United States and specializes in research at the intersection of computer science and engineering. Their work primarily focuses on advanced topics related to computer vision, imaging technologies, and human-computer interaction.

Their research spans multiple subfields, including:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Electrical and Electronic Engineering
  • Human-Computer Interaction
  • Renewable Energy, Sustainability and the Environment

Main areas of study involved in Nayar's work include:

  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications
  • Virtual Reality Applications and Impacts
  • Augmented Reality Applications
  • Advanced Optical Imaging Technologies
  • Image Enhancement Techniques
  • Optical Wireless Communication Technologies

Their recent publications illustrate a range of topics dealing with imaging, visual communication, and motion cancellation techniques. Some of these papers are:

  • "RobustPPG: camera-based robust heart rate estimation using motion cancellation," 2022, Biomedical Optics Express
  • "MI-Poser," 2023, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "N-euro Predictor," 2023, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • "Seeing Far in the Dark with Patterned Flash," 2022, arXiv (Cornell University)
  • "Light Codes for Fast Two-Way Human-Centric Visual Communication," 2023, ACM Transactions on Graphics

Frequent publication venues where Nayar's research appears include:

  • ACM Transactions on Graphics
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Biomedical Optics Express
  • arXiv (Cornell University)
  • Solar Energy

Collaborations are integral to the research efforts, with notable frequent co-authors such as Jian Wang, Bing Zhou, Gurunandan Krishnan, Jeremy Klotz, and Zhanghao Sun.

Nayar's contributions have been recognized by professional bodies with distinctions including:

  • Fellow, National Academy of Inventors (2014)
  • Fellow of the American Academy of Arts and Sciences (2011)
  • Member of the National Academy of Engineering (2008) for the development of computational cameras and physics-based models for computer vision and computer graphics

Best Publications

  • Visual learning and recognition of 3-D objects from appearance

    Hiroshi Murase;Shree K. Nayar

  • Contrast restoration of weather degraded images

    S.G. Narasimhan;S.K. Nayar

  • Vision and the Atmosphere

    Srinivasa G. Narasimhan;Shree K. Nayar

  • Reflectance and texture of real-world surfaces

    Kristin J. Dana;Bram van Ginneken;Shree K. Nayar;Jan J. Koenderink

  • Attribute and simile classifiers for face verification

    Neeraj Kumar;Alexander C. Berg;Peter N. Belhumeur;Shree K. Nayar

  • Reflectance and texture of real-world surfaces

    K.J. Dana;S.K. Nayar;B. van Ginneken;J.J. Koenderink

  • Shape from focus

    S.K. Nayar;Y. Nakagawa

  • Generalized Assorted Pixel Camera: Postcapture Control of Resolution, Dynamic Range, and Spectrum

    Fumihito Yasuma;Tomoo Mitsunaga;Daisuke Iso;Shree K Nayar

  • Vision in bad weather

    S.K. Nayar;S.G. Narasimhan

  • Instant dehazing of images using polarization

    Y.Y. Schechner;S.G. Narasimhan;S.K. Nayar

  • Radiometric self calibration

    T. Mitsunaga;S.K. Nayar

  • Chromatic framework for vision in bad weather

    S.G. Narasimhan;S.K. Nayar

  • Catadioptric omnidirectional camera

    S.K. Nayar

  • A Theory of Single-Viewpoint Catadioptric Image Formation

    Simon Baker;Shree K. Nayar

  • Polarization-based vision through haze

    Yoav Y. Schechner;Srinivasa G. Narasimhan;Shree K. Nayar

  • High dynamic range imaging: spatially varying pixel exposures

    S.K. Nayar;T. Mitsunaga

  • Detection and removal of rain from videos

    K. Garg;S.K. Nayar

  • Generalization of Lambert's reflectance model

    Michael Oren;Shree K. Nayar

  • Motion-based motion deblurring

    S.K. Nayar;M. Ben-Ezra

  • Fast separation of direct and global components of a scene using high frequency illumination

    Shree K. Nayar;Gurunandan Krishnan;Michael D. Grossberg;Ramesh Raskar

Frequent Co-Authors

Peter N. Belhumeur
Peter N. Belhumeur Columbia University
Srinivasa G. Narasimhan
Srinivasa G. Narasimhan Carnegie Mellon University
Hiroshi Murase
Hiroshi Murase Nagoya University
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Katsushi Ikeuchi
Katsushi Ikeuchi Microsoft (United States)
Yoav Y. Schechner
Yoav Y. Schechner Technion – Israel Institute of Technology
Jinwei Gu
Jinwei Gu Chinese University of Hong Kong
Ko Nishino
Ko Nishino Kyoto University
Simon Baker
Simon Baker Microsoft (United States)
Takeo Kanade
Takeo Kanade Carnegie Mellon University

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