H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 3,607 101 World Ranking 8032 National Ranking 3752

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Optics

His primary scientific interests are in Artificial intelligence, Computer vision, Compressed sensing, Algorithm and Image sensor. His studies in Sparse approximation, Computational photography, Tracking system, Motion estimation and Image processing are all subfields of Artificial intelligence research. His Computer vision study integrates concerns from other disciplines, such as Nyquist rate and Sampling.

The various areas that he examines in his Compressed sensing study include Affine transformation, Greedy algorithm, Regular polygon, Range and Wavelet. His Algorithm research is multidisciplinary, incorporating elements of Robust principal component analysis, Matrix completion, Rank, Sparse matrix and Mathematical optimization. His Image sensor research is multidisciplinary, incorporating perspectives in Pixel, Coded aperture, Lens, Sensor array and Computation.

His most cited work include:

  • Compressive Sensing for Background Subtraction (268 citations)
  • SpaRCS: Recovering low-rank and sparse matrices from compressive measurements (190 citations)
  • Greedy feature selection for subspace clustering (147 citations)

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

Aswin C. Sankaranarayanan spends much of his time researching Artificial intelligence, Computer vision, Compressed sensing, Pixel and Image. His Artificial intelligence study combines topics in areas such as Algorithm and Pattern recognition. His work deals with themes such as Spatial light modulator, Surface and Computer graphics, which intersect with Computer vision.

His Compressed sensing research incorporates elements of Optical flow, Sampling, Wavelet and Linear dynamical system. His research investigates the connection with Pixel and areas like Hyperspectral imaging which intersect with concerns in Spectrometer. His Video tracking study deals with Tracking system intersecting with Particle filter.

He most often published in these fields:

  • Artificial intelligence (74.07%)
  • Computer vision (62.96%)
  • Compressed sensing (23.70%)

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

  • Artificial intelligence (74.07%)
  • Computer vision (62.96%)
  • Image (14.07%)

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

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Image, Computational photography and Pixel. Aswin C. Sankaranarayanan incorporates Artificial intelligence and Non-line-of-sight propagation in his research. Aswin C. Sankaranarayanan has included themes like Artificial neural network and Hyperspectral imaging in his Computer vision study.

His biological study spans a wide range of topics, including Sequence and Machine vision. His research in Computational photography intersects with topics in Parsing, Field of view, Wavelet and Compressed sensing. His Pixel study combines topics from a wide range of disciplines, such as Accommodation and Human visual system model.

Between 2017 and 2021, his most popular works were:

  • A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction (47 citations)
  • Beyond Volumetric Albedo — A Surface Optimization Framework for Non-Line-Of-Sight Imaging (37 citations)
  • PhaseCam3D — Learning Phase Masks for Passive Single View Depth Estimation (33 citations)

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

  • Artificial intelligence
  • Computer vision
  • Optics

His primary areas of investigation include Artificial intelligence, Computer vision, Computational photography, Non-line-of-sight propagation and Optics. His Artificial intelligence study frequently intersects with other fields, such as Flash. Aswin C. Sankaranarayanan combines subjects such as Photolithography and Coded aperture with his study of Computer vision.

The Computational photography study combines topics in areas such as Range, Classification of discontinuities, Reflectivity and Visibility. His work carried out in the field of Image brings together such families of science as Singular value, Krylov subspace, Hyperspectral imaging, Spectrometer and Optical computing. His Algorithm research includes themes of Normal, Boundary, Scale, Interferometry and Specular reflection.

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

Compressive Sensing for Background Subtraction

Volkan Cevher;Aswin Sankaranarayanan;Marco F. Duarte;Dikpal Reddy.
european conference on computer vision (2008)

370 Citations

SpaRCS: Recovering low-rank and sparse matrices from compressive measurements

Andrew E. Waters;Aswin C. Sankaranarayanan;Richard Baraniuk.
neural information processing systems (2011)

235 Citations

Greedy feature selection for subspace clustering

Eva L. Dyer;Aswin C. Sankaranarayanan;Richard G. Baraniuk.
Journal of Machine Learning Research (2013)

195 Citations

Object Detection, Tracking and Recognition for Multiple Smart Cameras

A.C. Sankaranarayanan;A. Veeraraghavan;R. Chellappa.
Proceedings of the IEEE (2008)

192 Citations

CS-MUVI: Video compressive sensing for spatial-multiplexing cameras

Aswin C. Sankaranarayanan;Christoph Studer;Richard G. Baraniuk.
international conference on computational photography (2012)

181 Citations

Compressive acquisition of dynamic scenes

Aswin C. Sankaranarayanan;Pavan K. Turaga;Richard G. Baraniuk;Rama Chellappa.
european conference on computer vision (2010)

143 Citations

Skin Detection -a Short Tutorial

John Daugman;Stephanie Schuckers;Karthik Nandakumar;Ryan N. Rakvic.
(2010)

133 Citations

One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models

J. H. Rick Chang;Chun-Liang Li;Barnabas Poczos;B. V. K. Vijaya Kumar.
arXiv: Computer Vision and Pattern Recognition (2017)

117 Citations

FlatCam: Thin, Lensless Cameras Using Coded Aperture and Computation

M. Salman Asif;Ali Ayremlou;Aswin Sankaranarayanan;Ashok Veeraraghavan.
IEEE Transactions on Computational Imaging (2017)

99 Citations

Flutter Shutter Video Camera for compressive sensing of videos

Jason Holloway;Aswin C. Sankaranarayanan;Ashok Veeraraghavan;Salil Tambe.
international conference on computational photography (2012)

91 Citations

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Best Scientists Citing Aswin C. Sankaranarayanan

Gordon Wetzstein

Gordon Wetzstein

Stanford University

Publications: 32

Ashok Veeraraghavan

Ashok Veeraraghavan

Rice University

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Richard G. Baraniuk

Richard G. Baraniuk

Rice University

Publications: 23

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 19

Namrata Vaswani

Namrata Vaswani

Iowa State University

Publications: 19

Xin Yuan

Xin Yuan

Nanyang Technological University

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René Vidal

René Vidal

Johns Hopkins University

Publications: 18

Aggelos K. Katsaggelos

Aggelos K. Katsaggelos

Northwestern University

Publications: 16

Kalyan Sunkavalli

Kalyan Sunkavalli

Adobe Systems (United States)

Publications: 15

Volkan Cevher

Volkan Cevher

École Polytechnique Fédérale de Lausanne

Publications: 14

Wolfgang Heidrich

Wolfgang Heidrich

King Abdullah University of Science and Technology

Publications: 12

Andrea Cavallaro

Andrea Cavallaro

Queen Mary University of London

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Ravi Ramamoorthi

Ravi Ramamoorthi

University of California, San Diego

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Srinivasa G. Narasimhan

Srinivasa G. Narasimhan

Carnegie Mellon University

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Thierry Bouwmans

Thierry Bouwmans

University of La Rochelle

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Vivek K. Goyal

Vivek K. Goyal

Boston University

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