D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 71 Citations 18,657 212 World Ranking 1106 National Ranking 641

Research.com Recognitions

Awards & Achievements

2017 - IEEE Fellow For contributions to foundations of computer graphics and computer vision

2017 - ACM Fellow For contributions to computer graphics rendering and physics-based computer vision

2015 - ACM Distinguished Member

2005 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Computer graphics

Artificial intelligence, Computer vision, Rendering, Computer graphics and Light field are his primary areas of study. His studies in 3D rendering, Computer graphics, Pixel, Image and Augmented reality are all subfields of Artificial intelligence research. His studies link Convolutional neural network with Computer vision.

In Rendering, Ravi Ramamoorthi works on issues like Algorithm, which are connected to Bidirectional reflectance distribution function. As a member of one scientific family, he mostly works in the field of Computer graphics, focusing on Monte Carlo method and, on occasion, Global illumination and Sampling. His work in Light field addresses subjects such as Point, which are connected to disciplines such as Image sensor.

His most cited work include:

  • An efficient representation for irradiance environment maps (587 citations)
  • A signal-processing framework for inverse rendering (458 citations)
  • Depth from Combining Defocus and Correspondence Using Light-Field Cameras (399 citations)

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

His primary scientific interests are in Artificial intelligence, Computer vision, Rendering, Computer graphics and Algorithm. His Artificial intelligence study frequently links to other fields, such as Reflectivity. His Computer vision research is multidisciplinary, incorporating elements of Specular reflection, Bidirectional reflectance distribution function and Convolutional neural network.

Ravi Ramamoorthi focuses mostly in the field of Rendering, narrowing it down to topics relating to Monte Carlo method and, in certain cases, Sampling. His study on Ray tracing is often connected to Biological system as part of broader study in Computer graphics. His study looks at the relationship between Algorithm and topics such as Surface, which overlap with Point.

He most often published in these fields:

  • Artificial intelligence (72.57%)
  • Computer vision (64.14%)
  • Rendering (43.46%)

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

  • Artificial intelligence (72.57%)
  • Computer vision (64.14%)
  • Rendering (43.46%)

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

Ravi Ramamoorthi mostly deals with Artificial intelligence, Computer vision, Rendering, View synthesis and Image. Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Pattern recognition. Ravi Ramamoorthi interconnects Light stage and Focus in the investigation of issues within Computer vision.

His Rendering research incorporates themes from Augmented reality, Grid, Reflectivity and Algorithm. He combines subjects such as Sparse image, Volume rendering, Image-based modeling and rendering, Radiance and Panorama with his study of View synthesis. His Image research includes themes of MNIST database and Encoder.

Between 2018 and 2021, his most popular works were:

  • NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (212 citations)
  • Local light field fusion: practical view synthesis with prescriptive sampling guidelines (143 citations)
  • Pushing the Boundaries of View Extrapolation With Multiplane Images (98 citations)

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

  • Artificial intelligence
  • Computer vision
  • Optics

The scientist’s investigation covers issues in Artificial intelligence, Rendering, Computer vision, View synthesis and Algorithm. His Artificial intelligence study integrates concerns from other disciplines, such as Fourier transform, Tangent and Graphics. His Rendering research is multidisciplinary, relying on both Augmented reality, Differentiable function, Light field and Grid.

His research in Computer vision intersects with topics in Focus, Extrapolation and Reflectivity. He focuses mostly in the field of View synthesis, narrowing it down to matters related to Radiance and, in some cases, Representation and Function. His Algorithm study combines topics from a wide range of disciplines, such as Specular highlight, Modeling and simulation, Physical optics, Computer graphics and Generative grammar.

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.

Best Publications

An efficient representation for irradiance environment maps

Ravi Ramamoorthi;Pat Hanrahan.
international conference on computer graphics and interactive techniques (2001)

897 Citations

A signal-processing framework for inverse rendering

Ravi Ramamoorthi;Pat Hanrahan.
international conference on computer graphics and interactive techniques (2001)

701 Citations

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Ben Mildenhall;Pratul P. Srinivasan;Matthew Tancik;Jonathan T. Barron.
european conference on computer vision (2020)

673 Citations

Depth from Combining Defocus and Correspondence Using Light-Field Cameras

Michael W. Tao;Sunil Hadap;Jitendra Malik;Ravi Ramamoorthi.
international conference on computer vision (2013)

576 Citations

Spacetime stereo: a unifying framework for depth from triangulation

J. Davis;D. Nehab;R. Ramamoorthi;S. Rusinkiewicz.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)

550 Citations

Spacetime stereo: a unifying framework for depth from triangulation

J. Davis;R. Ramamoorthi;S. Rusinkiewicz.
computer vision and pattern recognition (2003)

546 Citations

All-frequency shadows using non-linear wavelet lighting approximation

Ren Ng;Ravi Ramamoorthi;Pat Hanrahan.
international conference on computer graphics and interactive techniques (2003)

525 Citations

On the relationship between radiance and irradiance: determining the illumination from images of a convex Lambertian object

Ravi Ramamoorthi;Pat Hanrahan.
Journal of The Optical Society of America A-optics Image Science and Vision (2001)

517 Citations

Efficiently combining positions and normals for precise 3D geometry

Diego Nehab;Szymon Rusinkiewicz;James Davis;Ravi Ramamoorthi.
international conference on computer graphics and interactive techniques (2005)

512 Citations

Learning-based view synthesis for light field cameras

Nima Khademi Kalantari;Ting-Chun Wang;Ravi Ramamoorthi.
international conference on computer graphics and interactive techniques (2016)

476 Citations

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