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 51 Citations 14,305 108 World Ranking 2814 National Ranking 1473

Research.com Recognitions

Awards & Achievements

2014 - ACM Fellow For contributions to non-photorealistic rendering, multi-resolution representations, and computer graphics.

2000 - 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

The scientist’s investigation covers issues in Artificial intelligence, Computer graphics, Computer vision, Rendering and Algorithm. His Artificial intelligence research integrates issues from Portrait, Machine learning and Pattern recognition. His Computer graphics study in the realm of Computer graphics connects with subjects such as Scalability.

His Computer vision study integrates concerns from other disciplines, such as Benchmark and Non-photorealistic rendering. The study incorporates disciplines such as Animation, Viewpoints, WYSIWYG and 3d model in addition to Rendering. His work on Computational geometry as part of his general Algorithm study is frequently connected to Context, thereby bridging the divide between different branches of science.

His most cited work include:

  • PatchMatch: a randomized correspondence algorithm for structural image editing (1885 citations)
  • Fast multiresolution image querying (705 citations)
  • The generalized patchmatch correspondence algorithm (490 citations)

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

Adam Finkelstein mainly investigates Artificial intelligence, Computer vision, Computer graphics, Rendering and Animation. His research investigates the connection between Artificial intelligence and topics such as Speech recognition that intersect with issues in Deep learning. In Computer vision, he works on issues like Non-photorealistic rendering, which are connected to Image-based modeling and rendering.

His work in the fields of Computer graphics and Computer animation overlaps with other areas such as Line drawings and Line. His research in Computer graphics intersects with topics in Visualization, Human–computer interaction, Multimedia and Data set. His Rendering research includes elements of 3d model and Software rendering.

He most often published in these fields:

  • Artificial intelligence (57.03%)
  • Computer vision (40.62%)
  • Computer graphics (39.06%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (57.03%)
  • Speech recognition (10.94%)
  • Deep learning (6.25%)

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

Adam Finkelstein spends much of his time researching Artificial intelligence, Speech recognition, Deep learning, Artificial neural network and Noise reduction. Adam Finkelstein combines subjects such as Metric and Computer vision with his study of Artificial intelligence. Adam Finkelstein has included themes like Robot and Tile in his Computer vision study.

As a part of the same scientific family, Adam Finkelstein mostly works in the field of Speech recognition, focusing on Face and, on occasion, Representation and Graphics. His Artificial neural network research incorporates elements of Differentiable function and Pattern recognition. His work focuses on many connections between Pattern recognition and other disciplines, such as Feature, that overlap with his field of interest in Noise.

Between 2017 and 2021, his most popular works were:

  • PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup (152 citations)
  • Fftnet: A Real-Time Speaker-Dependent Neural Vocoder (73 citations)
  • Text-based editing of talking-head video (68 citations)

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

  • Artificial intelligence
  • Computer vision
  • Computer graphics

His scientific interests lie mostly in Artificial intelligence, Speech recognition, Deep learning, Artificial neural network and Construct. Adam Finkelstein studies Noise reduction, a branch of Artificial intelligence. His Speech recognition research incorporates themes from Face and Graphics.

His Deep learning study combines topics in areas such as Convolution and Convolutional neural network. His Artificial neural network research incorporates themes from Differentiable function, Noise and Pairwise comparison. His Construct study spans across into areas like Portrait, Range, Function and Style.

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

PatchMatch: a randomized correspondence algorithm for structural image editing

Connelly Barnes;Eli Shechtman;Adam Finkelstein;Dan B Goldman.
international conference on computer graphics and interactive techniques (2009)

2470 Citations

Fast multiresolution image querying

Charles E. Jacobs;Adam Finkelstein;David H. Salesin.
international conference on computer graphics and interactive techniques (1995)

1216 Citations

Suggestive contours for conveying shape

Doug DeCarlo;Adam Finkelstein;Szymon Rusinkiewicz;Anthony Santella.
international conference on computer graphics and interactive techniques (2003)

779 Citations

The generalized patchmatch correspondence algorithm

Connelly Barnes;Eli Shechtman;Dan B. Goldman;Adam Finkelstein.
european conference on computer vision (2010)

659 Citations

Robust mesh watermarking

Emil Praun;Hugues Hoppe;Adam Finkelstein.
international conference on computer graphics and interactive techniques (1999)

525 Citations

Multiresolution curves

Adam Finkelstein;David H. Salesin.
international conference on computer graphics and interactive techniques (1994)

495 Citations

Real-time hatching

Emil Praun;Hugues Hoppe;Matthew Webb;Adam Finkelstein.
international conference on computer graphics and interactive techniques (2001)

488 Citations

Lapped textures

Emil Praun;Adam Finkelstein;Hugues Hoppe.
international conference on computer graphics and interactive techniques (2000)

485 Citations

WYSIWYG NPR: drawing strokes directly on 3D models

Robert D. Kalnins;Lee Markosian;Barbara J. Meier;Michael A. Kowalski.
international conference on computer graphics and interactive techniques (2002)

375 Citations

Building and using a scalable display wall system

K. Li;H. Chen;Y. Chen;D.W. Clark.
IEEE Computer Graphics and Applications (2000)

294 Citations

Best Scientists Citing Adam Finkelstein

Eli Shechtman

Eli Shechtman

Adobe Systems (United States)

Publications: 56

Heung-Yeung Shum

Heung-Yeung Shum

Microsoft (United States)

Publications: 44

Shi-Min Hu

Shi-Min Hu

Tsinghua University

Publications: 40

Markus Gross

Markus Gross

ETH Zurich

Publications: 39

Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

Publications: 37

Daniel Cohen-Or

Daniel Cohen-Or

Tel Aviv University

Publications: 37

Tobias Isenberg

Tobias Isenberg

French Institute for Research in Computer Science and Automation - INRIA

Publications: 36

Aaron Hertzmann

Aaron Hertzmann

Adobe Systems (United States)

Publications: 34

Zhe Lin

Zhe Lin

Adobe Systems (United States)

Publications: 34

Baining Guo

Baining Guo

Microsoft (United States)

Publications: 33

Takeo Igarashi

Takeo Igarashi

University of Tokyo

Publications: 33

Niloy J. Mitra

Niloy J. Mitra

University College London

Publications: 30

Kun Zhou

Kun Zhou

Zhejiang University

Publications: 30

Frédo Durand

Frédo Durand

MIT

Publications: 29

Bernhard Preim

Bernhard Preim

Otto-von-Guericke University Magdeburg

Publications: 29

Maneesh Agrawala

Maneesh Agrawala

Stanford University

Publications: 29

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.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.