World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
71
Citations
17678
World Ranking
1793
National Ranking
42

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Sébastien Marcel is a researcher affiliated with the Idiap Research Institute in Switzerland. Their scholarly work spans over 221 publications primarily in the domain of Computer Science.

Their research is concentrated in subfields including:

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Artificial Intelligence
  • Neurology
  • Information Systems

Key topics addressed in their work include:

  • Face recognition and analysis
  • Biometric Identification and Security
  • Face and Expression Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Digital Media Forensic Detection
  • User Authentication and Security Systems
  • Facial Nerve Paralysis Treatment and Research

Sébastien Marcel has contributed to several frequently publishing venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • IEEE Transactions on Information Forensics and Security
  • IEEE Access
  • Revue Neurologique

Among book publications, they have authored works published by Springer International Publishing, including the Handbook of Biometric Anti-Spoofing (2023).

Frequent co-authors in Sébastien Marcel's research network include:

  • Hatef Otroshi Shahreza
  • Anjith George
  • Ketan Kotwal
  • Pavel Korshunov
  • Christian Rathgeb

Selected recent research papers authored or co-authored by Sébastien Marcel include:

  • Autologous Mesenchymal Stem Cells Improve Motor Recovery in Subacute Ischemic Stroke: a Randomized Clinical Trial, 2020, Translational Stroke Research
  • Prediction of Early Neurological Deterioration in Individuals With Minor Stroke and Large Vessel Occlusion Intended for Intravenous Thrombolysis Alone, 2021, JAMA Neurology
  • Are GAN-based morphs threatening face recognition?, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • EdgeFace: Efficient Face Recognition Model for Edge Devices, 2024, IEEE Transactions on Biometrics Behavior and Identity Science
  • Towards Protecting and Enhancing Vascular Biometric Recognition Methods via Biohashing and Deep Neural Networks, 2021, IEEE Transactions on Biometrics Behavior and Identity Science

Best Publications

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

    Ivana Chingovska;Andre Anjos;Sebastien Marcel

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

    Javier Galbally;Sebastien Marcel;Julian Fierrez

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

    S. Marcel;J.D.R. Millan

  • DeepFakes: a New Threat to Face Recognition? Assessment and Detection

    Pavel Korshunov;Sébastien Marcel

  • Biometric Antispoofing Methods: A Survey in Face Recognition

    Javier Galbally;Sebastien Marcel;Julian Fierrez

  • Torchvision the machine-vision package of torch

    Sébastien Marcel;Yann Rodriguez

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

    Andre Anjos;Sebastien Marcel

  • LBP - TOP based countermeasure against face spoofing attacks

    Tiago de Freitas Pereira;André Anjos;José Mario De Martino;Sébastien Marcel

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

    Nesli Erdogmus;Sebastien Marcel

  • Spoofing Face Recognition With 3D Masks

    Nesli Erdogmus;Sebastien Marcel

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

    Tiago de Freitas Pereira;Andre Anjos;Jose Mario De Martino;Sebastien Marcel

  • Spoofing 2D face recognition systems with 3D masks

    Nesli Erdogmus;Sebastien Marcel

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

    Christopher McCool;Sebastien Marcel;Abdenour Hadid;Matti Pietikainen

  • Biometric Face Presentation Attack Detection With Multi-Channel Convolutional Neural Network

    Anjith George;Zohreh Mostaani;David Geissenbuhler;Olegs Nikisins

  • Face liveness detection using dynamic texture

    Tiago de Freitas Pereira;Jukka Komulainen;André Anjos;José Mario De Martino

  • Face authentication using adapted local binary pattern histograms

    Yann Rodriguez;Sébastien Marcel

  • Local binary patterns as an image preprocessing for face authentication

    G. Heusch;Y. Rodriguez;S. Marcel

  • Biometrics Systems Under Spoofing Attack: An evaluation methodology and lessons learned

    Abdenour Hadid;Nicholas W. D. Evans;Sébastien Marcel;Julian Fiérrez

  • Face Anti-spoofing Based on General Image Quality Assessment

    Javier Galbally;Sébastien Marcel

  • Competition on counter measures to 2-D facial spoofing attacks

    Murali Mohan Chakka;Andre Anjos;Sebastien Marcel;Roberto Tronci

  • Anti-spoofing: Evaluation Methodologies

    Ivana Chingovska;André Anjos;Sébastien Marcel

Frequent Co-Authors

Norman Poh
Norman Poh University of Surrey
Josef Kittler
Josef Kittler University of Surrey
Abdenour Hadid
Abdenour Hadid University of Oulu
Christoph Busch
Christoph Busch Norwegian University of Science and Technology
Samy Bengio
Samy Bengio Apple (United States)
Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation
Javier Galbally
Javier Galbally Autonomous University of Madrid
Julian Fierrez
Julian Fierrez Autonomous University of Madrid
Matti Pietikäinen
Matti Pietikäinen University of Oulu
Kiran B. Raja
Kiran B. Raja Norwegian University of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you're interested in computer science but want flexibility, exploring online associate degree programs can be a great starting point. These short-term options let you quickly build foundational skills at an affordable cost.

For those looking to expand into business or management roles within tech companies, consider earning an business degree online. Pairing computing and business knowledge opens up more diverse career pathways in fields like IT consulting or tech entrepreneurship.

Cost is a major consideration for many students. It's worth researching the affordable online bachelor's degree choices available. Many top universities now offer flexible, accredited programs for learners who wish to balance education with work or family commitments.

Interested in the technical side of things? An online bachelor's in engineering can help you develop advanced problem-solving skills and qualify for engineering or development roles in tech.

Online degrees provide flexibility and a variety of career pathways in technology and beyond. Whether you’re just starting or aiming to deepen your expertise, there’s an accessible path for you.

Best Scientists Citing Sébastien Marcel

Trending Scientists