H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 42 Citations 11,422 102 World Ranking 4125 National Ranking 2092

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Optics
  • Computer vision

Srinivasa G. Narasimhan focuses on Artificial intelligence, Computer vision, Haze, Image restoration and Image processing. His research on Artificial intelligence often connects related areas such as Snow. When carried out as part of a general Computer vision research project, his work on Object detection is frequently linked to work in Process, therefore connecting diverse disciplines of study.

His Haze research is multidisciplinary, incorporating perspectives in Diffuse sky radiation, Atmosphere, Atmospheric optics and Machine vision. Srinivasa G. Narasimhan has included themes like Polarizer and Chromatic scale in his Diffuse sky radiation study. Srinivasa G. Narasimhan has researched Image restoration in several fields, including RGB color model, Light scattering, Scattering and Video camera.

His most cited work include:

  • Contrast restoration of weather degraded images (1041 citations)
  • Vision and the Atmosphere (816 citations)
  • Instant dehazing of images using polarization (586 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Optics, Pixel and Scattering are his primary areas of study. His research on Artificial intelligence frequently links to adjacent areas such as Haze. His Haze study also includes

  • Diffuse sky radiation which intersects with area such as Chromatic scale and Segmentation,
  • Atmospheric optics together with Snow.

His work in Computer vision tackles topics such as Computer graphics which are related to areas like Shadow and Active vision. His work on Light beam, Lens and Focal length as part of his general Optics study is frequently connected to Materials science, thereby bridging the divide between different branches of science. His Pixel study combines topics from a wide range of disciplines, such as Image quality, Brightness, High dynamic range and Color image.

He most often published in these fields:

  • Artificial intelligence (71.43%)
  • Computer vision (68.42%)
  • Optics (14.29%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (71.43%)
  • Computer vision (68.42%)
  • Optics (14.29%)

In recent papers he was focusing on the following fields of study:

Srinivasa G. Narasimhan spends much of his time researching Artificial intelligence, Computer vision, Optics, Computational photography and RGB color model. In general Artificial intelligence, his work in Projector is often linked to Event linking many areas of study. His Computer vision study integrates concerns from other disciplines, such as Visualization, Deep learning and Detector.

His work in the fields of Optics, such as Focal length, Light beam, Scattering and Lens, intersects with other areas such as Materials science. The concepts of his RGB color model study are interwoven with issues in Texture, Polygon mesh, Rendering and Reflection mapping. As a part of the same scientific study, Srinivasa G. Narasimhan usually deals with the Pixel, concentrating on Video camera and frequently concerns with Image resolution.

Between 2018 and 2021, his most popular works were:

  • A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction (47 citations)
  • Neural RGB®D Sensing: Depth and Uncertainty From a Video Camera (42 citations)
  • Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks (17 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Optics
  • Computer vision

His primary scientific interests are in Artificial intelligence, Computer vision, Pixel, Computational photography and Video camera. His studies in Artificial intelligence integrate themes in fields like Specular reflection and Viewpoints. The concepts of his Specular reflection study are interwoven with issues in Epipolar geometry, Subsurface scattering, Projector and Normal.

His work on Iterative reconstruction as part of general Computer vision research is frequently linked to Event, thereby connecting diverse disciplines of science. The study incorporates disciplines such as Light scattering, Radiative transfer, Optics and Computation in addition to Computational photography. His research integrates issues of Image resolution, 3D reconstruction, Deep learning and RGB color model in his study of Video camera.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Contrast restoration of weather degraded images

Srinivasa G. Narasimhan;Shree K. Nayar.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2003)

1510 Citations

Vision and the Atmosphere

Srinivasa G. Narasimhan;Shree K. Nayar.
International Journal of Computer Vision (2002)

1204 Citations

Instant dehazing of images using polarization

Y.Y. Schechner;S.G. Narasimhan;S.K. Nayar.
computer vision and pattern recognition (2001)

889 Citations

Vision in bad weather

S.K. Nayar;S.G. Narasimhan.
international conference on computer vision (1999)

786 Citations

Chromatic framework for vision in bad weather

S.G. Narasimhan;S.K. Nayar.
computer vision and pattern recognition (2000)

752 Citations

Polarization-based vision through haze

Yoav Y. Schechner;Srinivasa G. Narasimhan;Shree K. Nayar.
Applied Optics (2003)

577 Citations

Analysis of Rain and Snow in Frequency Space

Peter C. Barnum;Srinivasa Narasimhan;Takeo Kanade.
International Journal of Computer Vision (2010)

357 Citations

Removing weather effects from monochrome images

S.G. Narasimhan;S.K. Nayar.
computer vision and pattern recognition (2001)

259 Citations

Shedding light on the weather

S.G. Narasimhan;S.K. Nayar.
computer vision and pattern recognition (2003)

238 Citations

Structured light in scattering media

Srinivasa G. Narasimhan;Shree K. Nayar;Bo Sun;Sanjeev J. Koppal.
international conference on computer vision (2005)

223 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Srinivasa G. Narasimhan

Yoav Y. Schechner

Yoav Y. Schechner

Technion – Israel Institute of Technology

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Shree K. Nayar

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Columbia University

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MIT

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Luc Van Gool

Luc Van Gool

ETH Zurich

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Jean-François Lalonde

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Osaka University

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Kalyan Sunkavalli

Kalyan Sunkavalli

Adobe Systems (United States)

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Gordon Wetzstein

Gordon Wetzstein

Stanford University

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Wojciech Jarosz

Wojciech Jarosz

Dartmouth College

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Robert Pless

Robert Pless

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Yasuyuki Matsushita

Yasuyuki Matsushita

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Dacheng Tao

Dacheng Tao

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Katsushi Ikeuchi

Katsushi Ikeuchi

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William T. Freeman

William T. Freeman

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