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Jean-Luc Dugelay

Jean-Luc Dugelay

D-Index & Metrics

Computer Science

D-Index
43
Citations
8793
World Ranking
7911
National Ranking
181

Research.com Recognitions

  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to face recognition and soft biometrics
  • 2012 - IEEE Fellow For contributions to three dimensional imaging for security applications

Overview

Jean-Luc Dugelay is affiliated with EURECOM in France and has contributed extensively to the field of computer science, with a particular focus on computer vision and pattern recognition. Their work intersects multiple subfields including artificial intelligence, signal processing, cardiology and cardiovascular medicine, as well as radiology, nuclear medicine, and imaging.

The scientist's research topics encompass a range of areas including:

  • Face recognition and analysis
  • Digital media forensic detection
  • Advanced steganography and watermarking techniques
  • Adversarial robustness in machine learning
  • Generative adversarial networks and image synthesis
  • Biometric identification and security
  • Video surveillance and tracking methods

Jean-Luc Dugelay has authored several recent papers, illustrating their ongoing research interests. Notable publications include:

  • "Adversarial attacks through architectures and spectra in face recognition," 2021, Pattern Recognition Letters
  • "Generalizing Adversarial Explanations with Grad-CAM," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Improving Deepfake Detection by Mixing Top Solutions of the DFDC," 2022, 2022 30th European Signal Processing Conference (EUSIPCO)
  • "PROTECT: Pervasive and useR fOcused biomeTrics bordEr projeCT - a case study," 2020, IET Biometrics
  • "AI-Based Compression: A New Unintended Counter Attack on JPEG-Related Image Forensic Detectors?," 2022, 2022 IEEE International Conference on Image Processing (ICIP)

Their frequent co-authors include:

  • Nélida Mirabet-Herranz
  • Khawla Mallat
  • Chiara Galdi
  • Mira Adra
  • Tanmay Chakraborty

Their work is frequently published in venues such as:

  • arXiv (Cornell University)
  • Pattern Recognition Letters
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • 2022 30th European Signal Processing Conference (EUSIPCO)
  • IET Biometrics

Jean-Luc Dugelay has been recognized with several awards, including being named Fellow of the International Association for Pattern Recognition (IAPR) in 2018 for contributions to face recognition and soft biometrics. They were also awarded IEEE Fellow status in 2012 for contributions to three-dimensional imaging for security applications.

Best Publications

  • Face aging with conditional generative adversarial networks

    Grigory Antipov;Moez Baccouche;Jean-Luc Dugelay

  • A guide tour of video watermarking

    Gwenaël J. Doërr;Jean-Luc Dugelay

  • Digital image forensics: a booklet for beginners

    Judith A. Redi;Wiem Taktak;Jean-Luc Dugelay

  • A survey of watermarking algorithms for image authentication

    Christian Rey;Jean-Luc Dugelay

  • KinectFaceDB: A Kinect Database for Face Recognition

    Rui Min;Neslihan Kose;Jean-Luc Dugelay

  • Bag of soft biometrics for person identification

    Antitza Dantcheva;Carmelo Velardo;Angela D'Angelo;Jean-Luc Dugelay

  • Security pitfalls of frame-by-frame approaches to video watermarking

    G. Doerr;J.-L. Dugelay

  • Reversible Image Data Hiding with Contrast Enhancement

    Hao Tian Wu;Jean Luc Dugelay;Yun Qing Shi

  • Improving the recognition of faces occluded by facial accessories

    Rui Min;Abdenour Hadid;Jean-Luc Dugelay

  • An efficient LBP-Based descriptor for facial depth images applied to gender recognition using RGB-D face data

    Tri Huynh;Rui Min;Jean-Luc Dugelay

  • Moving face spoofing detection via 3D projective invariants

    Maria De Marsico;Michele Nappi;Daniel Riccio;Jean-Luc Dugelay

  • Minimalistic CNN-based ensemble model for gender prediction from face images

    Grigory Antipov;Sid-Ahmed Berrani;Jean-Luc Dugelay

  • Learned vs. Hand-Crafted Features for Pedestrian Gender Recognition

    Grigory Antipov;Sid-Ahmed Berrani;Natacha Ruchaud;Jean-Luc Dugelay

  • Effective training of convolutional neural networks for face-based gender and age prediction

    Grigory Antipov;Moez Baccouche;Sid-Ahmed Berrani;Jean Luc Dugelay

  • Autonomous drones for assisting rescue services within the context of natural disasters

    Ludovic Apvrille;Tullio Tanzi;Jean-Luc Dugelay

  • Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models

    Grigory Antipov;Moez Baccouche;Sid-Ahmed Berrani;Jean-Luc Dugelay

  • DEFACTO: Image and Face Manipulation Dataset

    Gael Mahfoudi;Badr Tajini;Florent Retraint;Frederic Morain-Nicolier

  • A subspace co-training framework for multi-view clustering

    Xuran Zhao;Nicholas Evans;Jean-Luc Dugelay

  • Classification of captured and recaptured images to detect photograph spoofing

    Neslihan Kose;Jean-Luc Dugelay

  • Multimodal authentication on smartphones

    Chiara Galdi;Michele Nappi;Jean-Luc Dugelay

  • Still-image watermarking robust to local geometric distortions

    J.-L. Dugelay;S. Roche;C. Rey;G. Doerr

Frequent Co-Authors

Kenneth Rose
Kenneth Rose University of California, Santa Barbara
Michele Nappi
Michele Nappi University of Salerno
Touradj Ebrahimi
Touradj Ebrahimi École Polytechnique Fédérale de Lausanne
Abdenour Hadid
Abdenour Hadid University of Oulu
Thomas Sikora
Thomas Sikora Technical University of Berlin
Mohamed Daoudi
Mohamed Daoudi IMT Nord Europe
Christoph Busch
Christoph Busch Norwegian University of Science and Technology
Christine Guillemot
Christine Guillemot French Institute for Research in Computer Science and Automation - INRIA
Liming Chen
Liming Chen École Centrale de Lyon

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