H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 125 Citations 71,317 825 World Ranking 38 National Ranking 23

Research.com Recognitions

Awards & Achievements

2020 - Fellow, National Academy of Inventors

2020 - Jack S. Kilby Signal Processing Medal For contributions to image and video processing

2015 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to Markov random fields, 3D recovery from single and mutiple images and image/video-based recognition

2013 - ACM Fellow For contributions to image processing, computer vision, and pattern recognition.

2012 - IAPR King-Sun Fu Prize For pioneering contributions to statistical methods for image- and video-based object recognition.

2011 - Fellow of the American Association for the Advancement of Science (AAAS)

2009 - OSA Fellows For pioneering and sustained contributions to image and video-based pattern recognition and computer vision.

1996 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to theory and applications of Markov Random Fields and computer vision

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Facial recognition system and Feature extraction. His Artificial intelligence study frequently draws connections between adjacent fields such as Machine learning. His research on Pattern recognition frequently links to adjacent areas such as Feature.

The concepts of his Computer vision study are interwoven with issues in Algorithm and Activity recognition. As a part of the same scientific study, Rama Chellappa usually deals with the Facial recognition system, concentrating on Subspace topology and frequently concerns with Linear discriminant analysis. His work in Feature extraction addresses subjects such as Pattern recognition, which are connected to disciplines such as Biometrics.

His most cited work include:

  • Face recognition: A literature survey (5777 citations)
  • Human and machine recognition of faces: a survey (2358 citations)
  • Machine Recognition of Human Activities: A Survey (1142 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, Pattern recognition, Facial recognition system and Face. Artificial intelligence is closely attributed to Machine learning in his work. His Computer vision study frequently involves adjacent topics like Algorithm.

Rama Chellappa has included themes like Artificial neural network and Contextual image classification in his Pattern recognition study. His study in Facial recognition system is interdisciplinary in nature, drawing from both Pattern recognition and Biometrics. Face is frequently linked to Image in his study.

He most often published in these fields:

  • Artificial intelligence (81.65%)
  • Computer vision (47.05%)
  • Pattern recognition (34.13%)

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

  • Artificial intelligence (81.65%)
  • Pattern recognition (34.13%)
  • Face (14.54%)

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

Rama Chellappa spends much of his time researching Artificial intelligence, Pattern recognition, Face, Facial recognition system and Machine learning. His work on Computer vision expands to the thematically related Artificial intelligence. His work in the fields of Classifier overlaps with other areas such as Set.

His study focuses on the intersection of Face and fields such as Authentication with connections in the field of Mobile device. His Machine learning research is multidisciplinary, incorporating perspectives in Adversarial system, Training set, Inference and Key. His Face detection study incorporates themes from Pose and Detector.

Between 2015 and 2021, his most popular works were:

  • HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition (695 citations)
  • Soft-NMS — Improving Object Detection with One Line of Code (416 citations)
  • Generate to Adapt: Aligning Domains Using Generative Adversarial Networks (326 citations)

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

  • Artificial intelligence
  • Computer vision
  • Statistics

Rama Chellappa mostly deals with Artificial intelligence, Pattern recognition, Face, Convolutional neural network and Facial recognition system. His work deals with themes such as Machine learning and Computer vision, which intersect with Artificial intelligence. His biological study spans a wide range of topics, including Visualization, Representation, Cluster analysis and Robustness.

His Face research incorporates elements of Image, Pyramid, Expression and Authentication. His Convolutional neural network research is multidisciplinary, relying on both Artificial neural network, Pose and Benchmark. As a member of one scientific family, Rama Chellappa mostly works in the field of Facial recognition system, focusing on Pattern recognition and, on occasion, Baseline.

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

Face recognition: A literature survey

W. Zhao;R. Chellappa;P. J. Phillips;A. Rosenfeld.
ACM Computing Surveys (2003)

8596 Citations

Human and machine recognition of faces: a survey

R. Chellappa;C.L. Wilson;S. Sirohey.
Proceedings of the IEEE (1995)

4104 Citations

Machine Recognition of Human Activities: A Survey

P. Turaga;R. Chellappa;V.S. Subrahmanian;O. Udrea.
IEEE Transactions on Circuits and Systems for Video Technology (2008)

1643 Citations

Face recognition: A Literature Survey

W. Zhao;R. Rosenfeld;R. Chellappa.
ACM Computing Survey (2008)

1642 Citations

Discriminant analysis for recognition of human face images

Kamran Etemad;Rama Chellappa.
Journal of The Optical Society of America A-optics Image Science and Vision (1997)

1379 Citations

A method for enforcing integrability in shape from shading algorithms

R.T. Frankot;R. Chellappa.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1988)

1212 Citations

Discriminant analysis of principal components for face recognition

Wenyi Zhao;A. Krishnaswamy;R. Chellappa;D. L. Swets.
NATO ASI series. Series F : computer and system sciences (1998)

1095 Citations

Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group

Raviteja Vemulapalli;Felipe Arrate;Rama Chellappa.
computer vision and pattern recognition (2014)

922 Citations

Domain adaptation for object recognition: An unsupervised approach

Raghuraman Gopalan;Ruonan Li;Rama Chellappa.
international conference on computer vision (2011)

914 Citations

Visual tracking and recognition using appearance-adaptive models in particle filters

Shaohua Kevin Zhou;R. Chellappa;B. Moghaddam.
IEEE Transactions on Image Processing (2004)

900 Citations

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