About

Publications

• Lelièvre, P., & Chen, C. C. (2024). Integrated Gradient Correlation: a Dataset-wise Attribution Method. arXiv preprint. http://arxiv.org/abs/2404.13910

  
• Lelièvre, P. (2022). Pictorial Composition — Modeling, Perception & Creation. PhD Thesis. École Normale Supérieure. https://hal.science/tel-04007348

  
• Lelièvre, P., & Neri, P. (2021). A deep-learning framework for human perception of abstract art composition. Journal of Vision, 21(5), 9. https://doi.org/10.1167/jov.21.5.9

  
• Lelièvre, P. (2025). Integrated Gradient Correlation (Version latest) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.15852412

  
• Lelièvre, P., & Chen, C. C. (2024). Integrated Gradient Correlation: a Method for the Interpretability of fMRI Decoding Deep Models. VSS 2024, Florida, USA

  
• Lelièvre, P., & Neri, P. (2022). Perceptual Exploration of Latent Space for Pictorial Composition. VSAC 2022, Amsterdam, Netherlands.

  
• Lelièvre, P., & Neri, P. (2022). Perceptual Exploration of Latent Space for Pictorial Composition. VSS 2022, Florida, USA.

  
• Lelièvre, P., & Neri, P. (2019). Abstract Painting Composition: A Deep Learning Model of the Orientation Perception and Judgement. ECVP 2019, Leuven, Belgium.

  

Exhibitions

• Hidden Dynamics, École Normale Supérieure, Paris, France (Nov 2022)

  
• Fête de la Science, École Normale Supérieure, Paris, France (Oct 2019)

  
• Art@VSAC, BAC Atelier, Leuven, Belgium (Aug 2019)

  
• Festival Temps d'Images, Selection of Acht Mal (short animation), Noisiel, France (Oct 2010)

  

Positions

• National Taiwan University (Feb 2023 – present, Taipei, Taiwan)
  Postdoctoral Researcher — Machine Learning & fMRI
  

  - Research topic : Interpretability method for fMRI encoding and decoding deep models
  - Supervisor : Chien-Chung Chen

• Polywink (Feb 2018 – Apr 2018, Paris, France)
  R&D Engineer — Machine Learning
  

  - Research and development of deep learning models for the dissociation of skin materials

• EISKO, Digital Double Agency (Sep 2012 – Aug 2017, Paris, France)
  R&D Engineer — Computer Vision — Head of Capture Systems
  

  - Research, development and design of systems for texture and geometry acquisition (face & body)
  - Research and development of image processing frameworks (calibration & materials dissociation)
  - Research and development of a cosmetic evaluation framework based on holistic 2D/3D data
  - In-house and overseas on-set captures for feature films, video-games and cosmetic evaluations
  - Showcasing company's technologies at SIGGRAPH and other international events

Education

• École Normale Supérieure (Oct 2018 – Nov 2022, Paris, France)
  PhD — Research Creation, Machine Learning, Psychophysics
  

  - Thesis topic : Pictorial Composition – Modeling, Perception, Exploration
  - Supervisor : Peter Neri
  - Labs : LSP (Laboratoire des Systèmes Perceptifs) – SACRe (Science Arts Création Recherche)

• ENS Louis Lumière (Sep 2009 – May 2012, Paris, France)
  Master's Degree — Cinematography, Science and Research
  

  - Thesis topic : The Role of Technical Director in VFX and Animation Studios
  - Supervisor : Cédric Guiard, Co-supervisor : Alain Sarlat

• Preparatory Class Ciné-Sup (Sep 2007 – Jun 2009, Nantes, France)
  Bachelor's Degree — Cinema, Art and Science
  

  - Degree delivered by Paris-Sorbonne University