H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 59 Citations 14,757 251 World Ranking 1711 National Ranking 946

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Vishal M. Patel spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Convolutional neural network and Feature extraction. His Facial recognition system, Sparse approximation, Face detection, Deep learning and K-SVD investigations are all subjects of Artificial intelligence research. His work is dedicated to discovering how Facial recognition system, Pose are connected with Human–computer interaction and other disciplines.

His Pattern recognition research incorporates themes from Contextual image classification and Biometrics. Vishal M. Patel works mostly in the field of Convolutional neural network, limiting it down to topics relating to Normalization and, in certain cases, Speckle noise, Image restoration and Speckle pattern, as a part of the same area of interest. His work carried out in the field of Image brings together such families of science as Pyramid and Code.

His most cited work include:

  • HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition (695 citations)
  • Visual Domain Adaptation: A survey of recent advances (562 citations)
  • Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs (335 citations)

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

Artificial intelligence, Pattern recognition, Computer vision, Face and Image are his primary areas of study. His work focuses on many connections between Artificial intelligence and other disciplines, such as Machine learning, that overlap with his field of interest in Classifier. His Pattern recognition study integrates concerns from other disciplines, such as Domain, Cluster analysis and Code.

His Face study combines topics in areas such as Identity, Mobile device, Authentication and Benchmark. As a part of the same scientific study, he usually deals with the Convolutional neural network, concentrating on Deep learning and frequently concerns with Object detection. The various areas that Vishal M. Patel examines in his Feature extraction study include Artificial neural network and Robustness.

He most often published in these fields:

  • Artificial intelligence (84.06%)
  • Pattern recognition (49.86%)
  • Computer vision (28.70%)

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

  • Artificial intelligence (84.06%)
  • Pattern recognition (49.86%)
  • Image (16.23%)

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

His primary areas of study are Artificial intelligence, Pattern recognition, Image, Face and Machine learning. His research integrates issues of Generator, Computer vision and Code in his study of Artificial intelligence. While the research belongs to areas of Pattern recognition, he spends his time largely on the problem of Iterative reconstruction, intersecting his research to questions surrounding Sparse approximation.

His work deals with themes such as Transfer of learning, Feature extraction and Function, which intersect with Image. His Face study combines topics from a wide range of disciplines, such as Change detection, Real-time computing, Modality and Authentication. His research in Machine learning tackles topics such as Adversarial system which are related to areas like Feature vector.

Between 2019 and 2021, his most popular works were:

  • Image De-Raining Using a Conditional Generative Adversarial Network (323 citations)
  • HA-CCN: Hierarchical Attention-Based Crowd Counting Network (41 citations)
  • Generative-Discriminative Feature Representations for Open-Set Recognition (21 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary scientific interests are in Artificial intelligence, Pattern recognition, Image, Face and Convolutional neural network. His research on Artificial intelligence frequently connects to adjacent areas such as Machine learning. His biological study spans a wide range of topics, including Generator and Generative grammar.

Vishal M. Patel combines subjects such as Measure, Feature extraction and Training set with his study of Image. His Face research incorporates elements of Change detection, Modality, Real-time computing, Authentication and Eyewear. The Convolutional neural network study combines topics in areas such as Network architecture, Image quality, Streak, Computer engineering and Transformer.

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.

Top Publications

HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

Rajeev Ranjan;Vishal M. Patel;Rama Chellappa.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)

610 Citations

Visual Domain Adaptation: A survey of recent advances

Vishal M Patel;Raghuraman Gopalan;Ruonan Li;Rama Chellappa.
IEEE Signal Processing Magazine (2015)

545 Citations

Compressed Synthetic Aperture Radar

V.M. Patel;G.R. Easley;D.M. Healy;R. Chellappa.
IEEE Journal of Selected Topics in Signal Processing (2010)

455 Citations

Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs

Vishwanath A. Sindagi;Vishal M. Patel.
international conference on computer vision (2017)

381 Citations

Image De-Raining Using a Conditional Generative Adversarial Network

He Zhang;Vishwanath Sindagi;Vishal M. Patel.
IEEE Transactions on Circuits and Systems for Video Technology (2020)

353 Citations

A survey of recent advances in CNN-based single image crowd counting and density estimation

Vishwanath A. Sindagi;Vishal M. Patel.
Pattern Recognition Letters (2018)

341 Citations

Densely Connected Pyramid Dehazing Network

He Zhang;Vishal M. Patel.
computer vision and pattern recognition (2018)

334 Citations

Secure and Robust Iris Recognition Using Random Projections and Sparse Representations

J. K. Pillai;V. M. Patel;R. Chellappa;N. K. Ratha.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

331 Citations

Frontal to profile face verification in the wild

Soumyadip Sengupta;Jun-Cheng Chen;Carlos Castillo;Vishal M. Patel.
workshop on applications of computer vision (2016)

291 Citations

Unconstrained face verification using deep CNN features

Jun-Cheng Chen;Vishal M. Patel;Rama Chellappa.
workshop on applications of computer vision (2016)

289 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-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

Top Scientists Citing Vishal M. Patel

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 87

Julian Fierrez

Julian Fierrez

Autonomous University of Madrid

Publications: 40

Ran He

Ran He

Chinese Academy of Sciences

Publications: 39

Christoph Busch

Christoph Busch

Norwegian University of Science and Technology

Publications: 37

Nasser M. Nasrabadi

Nasser M. Nasrabadi

West Virginia University

Publications: 35

Yun Fu

Yun Fu

Northeastern University

Publications: 34

Christian Rathgeb

Christian Rathgeb

Darmstadt University of Applied Sciences

Publications: 34

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 31

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 29

Zhenan Sun

Zhenan Sun

Chinese Academy of Sciences

Publications: 27

Jiwen Lu

Jiwen Lu

Tsinghua University

Publications: 25

Angshul Majumdar

Angshul Majumdar

Indraprastha Institute of Information Technology Delhi

Publications: 25

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 25

Xi Peng

Xi Peng

Sichuan University

Publications: 24

Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

Publications: 24

Something went wrong. Please try again later.