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 58 Citations 12,011 212 World Ranking 1822 National Ranking 51

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His primary areas of investigation include Facial recognition system, Artificial intelligence, Biometrics, Spoofing attack and Computer security. His Facial recognition system study deals with the bigger picture of Face. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, Computer vision and Pattern recognition.

The Biometrics study which covers Fingerprint that intersects with Iris recognition. His work in Spoofing attack tackles topics such as Image texture which are related to areas like Object detection and Attack model. His Computer security study incorporates themes from Modality, Anti spoofing and Software deployment.

His most cited work include:

  • On the effectiveness of local binary patterns in face anti-spoofing (398 citations)
  • Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation (392 citations)
  • Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition (349 citations)

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

Sébastien Marcel mostly deals with Artificial intelligence, Facial recognition system, Biometrics, Face and Pattern recognition. His Artificial intelligence study combines topics in areas such as Machine learning, Speech recognition and Computer vision. Sébastien Marcel interconnects Convolutional neural network, Spoofing attack and Vulnerability in the investigation of issues within Facial recognition system.

His Biometrics research incorporates themes from Speaker recognition and Pattern recognition. His study focuses on the intersection of Face and fields such as Authentication with connections in the field of The Internet. The study incorporates disciplines such as Boosting, Local binary patterns and Perceptron in addition to Pattern recognition.

He most often published in these fields:

  • Artificial intelligence (58.00%)
  • Facial recognition system (40.00%)
  • Biometrics (33.20%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (58.00%)
  • Biometrics (33.20%)
  • Facial recognition system (40.00%)

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

Sébastien Marcel mainly investigates Artificial intelligence, Biometrics, Facial recognition system, Machine learning and Face. His studies deal with areas such as Vulnerability, Computer vision and Pattern recognition as well as Artificial intelligence. Biometrics is the subject of his research, which falls under Computer security.

The concepts of his Facial recognition system study are interwoven with issues in Spoofing attack, Word error rate, Morphing, RGB color model and Robustness. His Machine learning research incorporates elements of Mixture model and Training set. His study connects Authentication and Face.

Between 2018 and 2021, his most popular works were:

  • Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection (45 citations)
  • Biometric Face Presentation Attack Detection With Multi-Channel Convolutional Neural Network (38 citations)
  • Handbook of Biometric Anti-Spoofing: Presentation Attack Detection (31 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Sébastien Marcel focuses on Artificial intelligence, Facial recognition system, Convolutional neural network, Biometrics and Pattern recognition. His research investigates the link between Artificial intelligence and topics such as Presentation that cross with problems in Computer vision, Pixel, Liveness and Statistical classification. His Facial recognition system study combines topics from a wide range of disciplines, such as Machine learning and Vulnerability.

His Convolutional neural network research includes elements of Classifier and Feature extraction. His Biometrics study introduces a deeper knowledge of Computer security. In the field of Pattern recognition, his study on Discriminative model overlaps with subjects such as Short wave infrared and Research community.

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

On the effectiveness of local binary patterns in face anti-spoofing

Ivana Chingovska;Andre Anjos;Sebastien Marcel.
international conference on biometrics (2012)

622 Citations

Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation

S. Marcel;J.D.R. Millan.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)

545 Citations

Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition

Javier Galbally;Sebastien Marcel;Julian Fierrez.
IEEE Transactions on Image Processing (2014)

532 Citations

Counter-measures to photo attacks in face recognition: A public database and a baseline

Andre Anjos;Sebastien Marcel.
International Journal of Central Banking (2011)

333 Citations

Biometric Antispoofing Methods: A Survey in Face Recognition

Javier Galbally;Sebastien Marcel;Julian Fierrez.
IEEE Access (2014)

316 Citations

Spoofing 2D face recognition systems with 3D masks

Nesli Erdogmus;Sebastien Marcel.
biometrics and electronic signatures (2013)

270 Citations

Spoofing in 2D face recognition with 3D masks and anti-spoofing with Kinect

Nesli Erdogmus;Sebastien Marcel.
international conference on biometrics theory applications and systems (2013)

255 Citations

Local binary patterns as an image preprocessing for face authentication

G. Heusch;Y. Rodriguez;S. Marcel.
international conference on automatic face and gesture recognition (2006)

253 Citations

Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data

Christopher McCool;Sebastien Marcel;Abdenour Hadid;Matti Pietikainen.
international conference on multimedia and expo (2012)

247 Citations

Can face anti-spoofing countermeasures work in a real world scenario?

Tiago de Freitas Pereira;Andre Anjos;Jose Mario De Martino;Sebastien Marcel.
international conference on biometrics (2013)

237 Citations

Best Scientists Citing Sébastien Marcel

Christoph Busch

Christoph Busch

Norwegian University of Science and Technology

Publications: 107

Julian Fierrez

Julian Fierrez

Autonomous University of Madrid

Publications: 72

Josef Kittler

Josef Kittler

University of Surrey

Publications: 47

Christian Rathgeb

Christian Rathgeb

Darmstadt University of Applied Sciences

Publications: 36

Abdenour Hadid

Abdenour Hadid

University of Oulu

Publications: 35

Stan Z. Li

Stan Z. Li

Chinese Academy of Sciences

Publications: 35

Vishal M. Patel

Vishal M. Patel

Johns Hopkins University

Publications: 33

Tomi Kinnunen

Tomi Kinnunen

University of Eastern Finland

Publications: 31

Andreas Uhl

Andreas Uhl

University of Salzburg

Publications: 30

Javier Galbally

Javier Galbally

Autonomous University of Madrid

Publications: 30

Richa Singh

Richa Singh

Indian Institute of Technology Jodhpur

Publications: 30

Arun Ross

Arun Ross

Michigan State University

Publications: 29

Javier Ortega-Garcia

Javier Ortega-Garcia

Autonomous University of Madrid

Publications: 27

Conrad Sanderson

Conrad Sanderson

Commonwealth Scientific and Industrial Research Organisation

Publications: 25

Nicholas Evans

Nicholas Evans

EURECOM

Publications: 23

Junichi Yamagishi

Junichi Yamagishi

National Institute of Informatics

Publications: 23

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.

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