D-Index & Metrics Best Publications

D-Index & Metrics

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 87 Citations 37,015 235 World Ranking 305 National Ranking 190

Research.com Recognitions

Awards & Achievements

2016 - ACM Fellow For contributions to computational photography and computer graphics rendering.

2006 - 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

His primary areas of investigation include Artificial intelligence, Computer vision, Computer graphics, Bilateral filter and Image. Frédo Durand regularly links together related areas like Pattern recognition in his Artificial intelligence studies. His studies in Computer graphics integrate themes in fields like Portrait, Variety, Style and Subject.

His Bilateral filter research integrates issues from Filter, Image editing, Adaptive histogram equalization, Tone mapping and Noise reduction. Many of his research projects under Image are closely connected to Simple with Simple, tying the diverse disciplines of science together. His study looks at the relationship between Pixel and topics such as High dynamic range, which overlap with Anisotropic diffusion.

His most cited work include:

  • Learning to predict where humans look (1590 citations)
  • Fast bilateral filtering for the display of high-dynamic-range images (1553 citations)
  • Image and depth from a conventional camera with a coded aperture (1194 citations)

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

Artificial intelligence, Computer vision, Computer graphics, Rendering and Algorithm are his primary areas of study. Pixel, Image, Image processing, Motion and Convolutional neural network are among the areas of Artificial intelligence where he concentrates his study. His Visibility research extends to the thematically linked field of Computer vision.

The concepts of his Visibility study are interwoven with issues in Radiosity and Polygon mesh. Frédo Durand frequently studies issues relating to Object and Computer graphics. Frédo Durand interconnects Path tracing and Ray tracing in the investigation of issues within Global illumination.

He most often published in these fields:

  • Artificial intelligence (66.44%)
  • Computer vision (60.00%)
  • Computer graphics (27.46%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (66.44%)
  • Computer vision (60.00%)
  • Convolutional neural network (5.76%)

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

His primary areas of study are Artificial intelligence, Computer vision, Convolutional neural network, Artificial neural network and Rendering. His Artificial intelligence study frequently draws connections between adjacent fields such as Pattern recognition. Computer vision and Flash are commonly linked in his work.

The various areas that Frédo Durand examines in his Convolutional neural network study include Convolution, Noise reduction, Invariant and Statistical model. His study explores the link between Artificial neural network and topics such as Differentiable function that cross with problems in Parallel computing. His studies deal with areas such as Algorithm, Computer graphics and Data structure as well as Rendering.

Between 2015 and 2021, his most popular works were:

  • What Do Different Evaluation Metrics Tell Us About Saliency Models (261 citations)
  • Deep joint demosaicking and denoising (255 citations)
  • Deep bilateral learning for real-time image enhancement (253 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, Computer vision, Image processing, Artificial neural network and Deep learning. Frédo Durand focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Pattern recognition and, in certain cases, Process. His work carried out in the field of Computer vision brings together such families of science as Base and Radiance.

His research integrates issues of Schedule and Compiler in his study of Image processing. His study in Artificial neural network is interdisciplinary in nature, drawing from both Object, Differentiable function and Image. His Deep learning research integrates issues from Pixel, Computer engineering and Automatic summarization.

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

Fast bilateral filtering for the display of high-dynamic-range images

Frédo Durand;Julie Dorsey.
international conference on computer graphics and interactive techniques (2002)

2402 Citations

Learning to predict where humans look

Tilke Judd;Krista Ehinger;Fredo Durand;Antonio Torralba.
international conference on computer vision (2009)

1908 Citations

Image and depth from a conventional camera with a coded aperture

Anat Levin;Rob Fergus;Frédo Durand;William T. Freeman.
international conference on computer graphics and interactive techniques (2007)

1611 Citations

A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach

Sylvain Paris;Frédo Durand.
International Journal of Computer Vision (2009)

1215 Citations

Eulerian video magnification for revealing subtle changes in the world

Hao-Yu Wu;Michael Rubinstein;Eugene Shih;John Guttag.
international conference on computer graphics and interactive techniques (2012)

1077 Citations

Understanding and evaluating blind deconvolution algorithms

Anat Levin;Yair Weiss;Fredo Durand;William T Freeman.
computer vision and pattern recognition (2009)

1069 Citations

Flash photography enhancement via intrinsic relighting

Elmar Eisemann;Frédo Durand.
international conference on computer graphics and interactive techniques (2004)

763 Citations

Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines

Jonathan Ragan-Kelley;Connelly Barnes;Andrew Adams;Sylvain Paris.
programming language design and implementation (2013)

752 Citations

Non-iterative, feature-preserving mesh smoothing

Thouis R. Jones;Frédo Durand;Mathieu Desbrun.
international conference on computer graphics and interactive techniques (2003)

687 Citations

A survey of visibility for walkthrough applications

D. Cohen-Or;Y.L. Chrysanthou;C.T. Silva;F. Durand.
IEEE Transactions on Visualization and Computer Graphics (2003)

582 Citations

Best Scientists Citing Frédo Durand

Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

Publications: 104

Ramesh Raskar

Ramesh Raskar

MIT

Publications: 77

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 74

Ravi Ramamoorthi

Ravi Ramamoorthi

University of California, San Diego

Publications: 68

Wojciech Matusik

Wojciech Matusik

MIT

Publications: 58

Karol Myszkowski

Karol Myszkowski

Max Planck Institute for Informatics

Publications: 58

Markus Gross

Markus Gross

ETH Zurich

Publications: 54

Diego Gutierrez

Diego Gutierrez

University of Zaragoza

Publications: 54

Jingyi Yu

Jingyi Yu

ShanghaiTech University

Publications: 53

Gordon Wetzstein

Gordon Wetzstein

Stanford University

Publications: 53

Ali Borji

Ali Borji

Verizon (United States)

Publications: 52

Tobias Ritschel

Tobias Ritschel

University College London

Publications: 51

Jan Kautz

Jan Kautz

Nvidia (United States)

Publications: 51

Michael S. Brown

Michael S. Brown

York University

Publications: 45

Shree K. Nayar

Shree K. Nayar

Columbia University

Publications: 45

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

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