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 49 Citations 9,328 234 World Ranking 3860 National Ranking 1969

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Optics
  • Computer vision

Ashok Veeraraghavan mainly focuses on Artificial intelligence, Computer vision, Image sensor, Optics and Activity recognition. His Artificial intelligence study incorporates themes from Lens, Machine learning and Pattern recognition. His work is dedicated to discovering how Lens, Coded aperture are connected with Ray, Refraction and Light-field camera and other disciplines.

His Computer vision study typically links adjacent topics like Photography. His study in Image sensor is interdisciplinary in nature, drawing from both Video tracking, Field of view, Resolution and Video camera. His Activity recognition research includes themes of Contextual image classification and Image warping.

His most cited work include:

  • Dappled photography: mask enhanced cameras for heterodyned light fields and coded aperture refocusing (542 citations)
  • Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging. (392 citations)
  • Matching shape sequences in video with applications in human movement analysis (304 citations)

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

Ashok Veeraraghavan spends much of his time researching Artificial intelligence, Computer vision, Image resolution, Optics and Pixel. His studies deal with areas such as Algorithm and Pattern recognition as well as Artificial intelligence. His Computer vision study combines topics in areas such as Lens and Computer graphics.

His Image resolution research includes elements of Frame rate, Temporal resolution and Video camera. His studies in Scattering, Light scattering, Resolution and Wavefront are all subfields of Optics research. His Compressed sensing research extends to Pixel, which is thematically connected.

He most often published in these fields:

  • Artificial intelligence (65.16%)
  • Computer vision (57.79%)
  • Image resolution (18.44%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (65.16%)
  • Computer vision (57.79%)
  • Optics (16.80%)

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

Ashok Veeraraghavan focuses on Artificial intelligence, Computer vision, Optics, Image resolution and Lens. His Artificial intelligence study frequently draws connections to adjacent fields such as Photoplethysmogram. The concepts of his Computer vision study are interwoven with issues in Artificial neural network, Invariant and Signal processing.

His work on Wavefront, Light scattering and Resolution as part of general Optics study is frequently linked to Non-line-of-sight propagation and High resolution, therefore connecting diverse disciplines of science. His Image resolution research is multidisciplinary, relying on both Confocal, Phase retrieval and Blood flow. His research investigates the connection between Lens and topics such as Image quality that intersect with issues in Machine vision, Diffraction, Digital image processing, Photography and Computational photography.

Between 2019 and 2021, his most popular works were:

  • Deep-inverse correlography: towards real-time high-resolution non-line-of-sight imaging (29 citations)
  • Wish: wavefront imaging sensor with high resolution (23 citations)
  • Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms (10 citations)

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

  • Artificial intelligence
  • Optics
  • Computer vision

His primary areas of study are Artificial intelligence, Image resolution, Computer vision, Phase retrieval and Wavefront. Ashok Veeraraghavan combines subjects such as Photoplethysmogram and Vital signs with his study of Artificial intelligence. His research in Image resolution intersects with topics in Thermography, Perfusion, Perfusion index and Artifact.

His Computer vision study integrates concerns from other disciplines, such as Iterative method, Optical transfer function and Signal processing. His Phase retrieval research incorporates elements of CMOS sensor, Physical optics, Lens, Algorithm and Speckle pattern. The various areas that Ashok Veeraraghavan examines in his Wavefront study include Image sensor, Scattering and Bandwidth.

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

Dappled photography: mask enhanced cameras for heterodyned light fields and coded aperture refocusing

Ashok Veeraraghavan;Ramesh Raskar;Amit Agrawal;Ankit Mohan.
international conference on computer graphics and interactive techniques (2007)

827 Citations

Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging.

Andreas Velten;Thomas Willwacher;Otkrist Gupta;Ashok Veeraraghavan.
Nature Communications (2012)

612 Citations

Matching shape sequences in video with applications in human movement analysis

Veeraraghavan A;A.K. Roy-Chowdhury;R. Chellappa.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)

438 Citations

Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition

P. Turaga;A. Veeraraghavan;A. Srivastava;R. Chellappa.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

410 Citations

DistancePPG: Robust non-contact vital signs monitoring using a camera

Mayank Kumar;Ashok Veeraraghavan;Ashutosh Sabharwal.
Biomedical Optics Express (2015)

382 Citations

Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision

P. Turaga;A. Veeraraghavan;R. Chellappa.
computer vision and pattern recognition (2008)

264 Citations

Fast directional chamfer matching

Ming-Yu Liu;Oncel Tuzel;Ashok Veeraraghavan;Rama Chellappa.
computer vision and pattern recognition (2010)

255 Citations

P2C2: Programmable pixel compressive camera for high speed imaging

Dikpal Reddy;Ashok Veeraraghavan;Rama Chellappa.
computer vision and pattern recognition (2011)

253 Citations

The Function Space of an Activity

A. Veeraraghavan;R. Chellappa;A.K. Roy-Chowdhury.
computer vision and pattern recognition (2006)

235 Citations

Object Detection, Tracking and Recognition for Multiple Smart Cameras

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

206 Citations

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