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Aladine Chetouani studies where people look and how they judge what they see, then teaches machines to predict both.

Aladine Chetouani is a Full Professor at Université Sorbonne Paris Nord, where he heads the Multimedia team of the L2TI laboratory.

His research is about visual perception: where people look, how they judge the quality of what they see, and how deep learning can predict both. It has applications in medical imaging and cultural heritage.

News

All news

Research

Visual attention and eye tracking
Predicting where people look (saliency, scanpaths) on images, video and artworks.
Perceptual quality assessment
Measuring the perceived quality of images, video, 3D meshes and point clouds automatically.
Medical imaging
Early detection of knee osteoarthritis on X-rays.
Cultural heritage and art
Image analysis for heritage, and how people look at artworks.
Facial expressions and human behaviour
Facial expressions and human behaviour.
Three copies of a landscape painting, each overlaid with the scanpath of a different group
Scanpaths of an artist, a neurotypical observer and an autistic adult on the same painting. Figure 5, Kerkouri et al., arXiv 2026 (CC BY-NC-SA 4.0)

Projects

  • TIC-ART

    Image processing and visitors' gaze on museum paintings

    Principal investigator · Centre-Val de Loire Region (ARD programme)

  • ARCADIA

    Automatic recognition of engraved patterns on archaeological pottery sherds

    Leader · Regional project

Selected publications

Most cited and recent work

  1. IEEE TMM 2024

    BASICS: Broad Quality Assessment of Static Point Clouds in a Compression Scenario

    Ali Ak, Emin Zerman, Maurice Quach, Aladine Chetouani, Aljosa Smolic, Giuseppe Valenzise, Patrick Le Callet

    IEEE Transactions on Multimedia, vol. 26, pp. 6730-6742 DOI HAL

  2. IEEE ICME 2021

    Deep learning-based blind quality assessment of 3D point clouds without reference

    Aladine Chetouani, Maurice Quach, Giuseppe Valenzise, Frédéric Dufaux

    IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp. 1-6 DOI HAL

  3. IEEE Access 2020

    A Critical Analysis on Perceptual Contrast and Its Use in Visual Information Analysis and Processing

    Azeddine Beghdadi, Muhammad Ali Qureshi, Seyed Ali Amirshahi, Aladine Chetouani, Marius Pedersen

    IEEE Access DOI

  4. IEEE TMI 2020

    Discriminative Regularized Auto-Encoder for Early Detection of Knee OsteoArthritis: Data from the Osteoarthritis Initiative

    Yassine Nasser, Rachid Jennane, Aladine Chetouani, Eric Lespessailles, Mohammed El Hassouni

    IEEE Transactions on Medical Imaging, vol. 39, no. 9, pp. 2976-2984 DOI HAL

  5. PR 2020

    No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling

    Ilyass Abouelaziz, Aladine Chetouani, Mohammed El Hassouni, Longin Jan Latecki, Hocine Cherifi

    Pattern Recognition, vol. 100, pp. 107174 DOI HAL

  6. PRL 2019

    Classification of Engraved Pottery Sherds Mixing Deep-Learning Features by Compact Bilinear Pooling

    Aladine Chetouani, Sylvie Treuillet, Matthieu Exbrayat, Sébastien Jesset

    Pattern Recognition Letters, vol. 131, pp. 1-7 DOI HAL

All 163 publications

Supervision

PhD students supervised at L2TI and, before that, at the PRISME laboratory of the Université d'Orléans.

Current team (3)

  • Nicolas Drapier

    Combining artificial intelligence with the expertise of maritime rescue services

  • Daphné Senggaran

    Artistic experience in autism spectrum disorder

    with Nadia Aguillon-Hernandez

  • Jean-Daniel De Ambrogi

    Imperniam

    with Vincent Nguyen, Aurélien Chateignier

Defended theses (3)

  • Marouane Tliba · 2024

    Deep-learning quality assessment of 3D point clouds

    with Giuseppe Valenzise

  • Zhe Wang · 2024

    Early detection of knee osteoarthritis with deep learning

    with Rachid Jennane

  • Mohamed Amine Kerkouri · 2024

    A gaze into the art world: modelling visual attention on artworks

Career

  1. 2024 –

    Full Professor

    L2TI – Institut Galilée, Université Sorbonne Paris Nord

    Head of the Multimedia team and of the Images track of the MSc 2 3IR.

  2. 2020 – 2021

    CNRS research delegation

    L2S, CentraleSupélec, Université Paris-Saclay

  3. 2020

    Habilitation (HDR)

    Université d'Orléans

    “On the use of visual attention and deep learning for blind quality assessment of multimedia contents”.

  4. 2012 – 2024

    Associate Professor

    Polytech Orléans & laboratoire PRISME, Université d'Orléans

  5. 2010

    PhD

    Université Paris 13, laboratoire L2TI

    “Towards a multi-criteria image quality assessment system”, supervised by Azeddine Beghdadi.

Distinctions

  • IEEE Senior Member
  • Chair, IEEE Signal Processing Society Challenges & Data Collection Committee (2025)

Service to the community

  • General Chair, ACM ETRA 2025 (Tokyo) and 2026 (Marrakesh)
  • General Chair, CBMI 2023 and 2024, and IEEE IPTA 2024
  • Associate Editor, IEEE Transactions on Multimedia