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

D-Index & Metrics

Computer Science

D-Index
57
Citations
38242
World Ranking
3718
National Ranking
69

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Julien Mairal is affiliated with Grenoble Alpes University in France. Their research primarily spans the fields of Computer Science and Engineering, with a notable focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics, and Aerospace Engineering.

The scientist's work covers a wide range of topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Remote-Sensing Image Classification
  • Sparse and Compressive Sensing Techniques
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques

Mairal has contributed extensively to various publication venues, with a significant number of works appearing in:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Geoscience and Remote Sensing
  • Monthly Notices of the Royal Astronomical Society
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Recent papers illustrate the emphasis on self-supervised learning, visual feature extraction, and vision transformers. Notable publications include:

  • "Emerging Properties in Self-Supervised Vision Transformers," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Unsupervised Learning of Visual Features by Contrasting Cluster Assignments," 2020, arXiv (Cornell University)
  • "DINOv2: Learning Robust Visual Features without Supervision," 2023, arXiv (Cornell University)
  • "Self-Supervised Models are Continual Learners," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Vision Transformers Need Registers," 2023, arXiv (Cornell University)

Frequent collaborators in their research include Jean Ponce, Jocelyn Chanussot, Alexandre Zouaoui, Théo Bodrito, and Bruno Lecouat, with coauthorship numbers ranging from 8 to 16 publications each.

Best Publications

  • Emerging Properties in Self-Supervised Vision Transformers

    Mathilde Caron;Hugo Touvron;Hugo Touvron;Ishan Misra;Hervé Jégou

  • Online Learning for Matrix Factorization and Sparse Coding

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • Online dictionary learning for sparse coding

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • Sparse Representation for Computer Vision and Pattern Recognition

    John Wright;Yi Ma;Julien Mairal;Guillermo Sapiro

  • Sparse Representation for Color Image Restoration

    J. Mairal;M. Elad;G. Sapiro

  • Non-local sparse models for image restoration

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

    Mathilde Caron;Ishan Misra;Julien Mairal;Priya Goyal

  • Supervised Dictionary Learning

    Julien Mairal;Jean Ponce;Guillermo Sapiro;Andrew Zisserman

  • DINOv2: Learning Robust Visual Features without Supervision

    Unknown

  • Optimization with Sparsity-Inducing Penalties

    Francis Bach;Rodolphe Jenatton;Julien Mairal;Guillaume Obozinski

  • Task-Driven Dictionary Learning

    J. Mairal;F. Bach;J. Ponce

  • Discriminative learned dictionaries for local image analysis

    J. Mairal;F. Bach;J. Ponce;G. Sapiro

  • Supervised Dictionary Learning

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • Learning multiscale sparse representations for image and video restoration

    Julien Mairal;Guillermo Sapiro;Michael Elad

  • Sparse Modeling for Image and Vision Processing

    Julien Mairal;Francis Bach;Jean Ponce

  • Proximal Methods for Sparse Hierarchical Dictionary Learning

    Rodolphe Jenatton;Julien Mairal;Francis R. Bach;Guillaume R. Obozinski

  • A universal catalyst for first-order optimization

    Hongzhou Lin;Julien Mairal;Zaid Harchaoui

  • Convex optimization with sparsity-inducing norms

    Francis Bach;Rodolphe Jenatton;Julien Mairal;Guillaume Obozinski

  • Structured sparsity through convex optimization

    Francis R. Bach;Rodolphe Jenatton;Julien Mairal;Guillaume Obozinski

  • Convolutional Kernel Networks

    Julien Mairal;Piotr Koniusz;Zaid Harchaoui;Cordelia Schmid

  • Proximal Methods for Hierarchical Sparse Coding

    Rodolphe Jenatton;Julien Mairal;Guillaume Obozinski;Francis Bach

Frequent Co-Authors

Francis Bach
Francis Bach École Normale Supérieure
Jean Ponce
Jean Ponce École Normale Supérieure
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Zaid Harchaoui
Zaid Harchaoui University of Washington
Guillermo Sapiro
Guillermo Sapiro Princeton University
Bertrand Thirion
Bertrand Thirion University of Paris-Saclay
Gaël Varoquaux
Gaël Varoquaux French Institute for Research in Computer Science and Automation - INRIA
Jean-Philippe Vert
Jean-Philippe Vert Google (United States)
Piotr Bojanowski
Piotr Bojanowski Facebook (United States)

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

Studying Computer Science in the USA opens gateways to a diverse range of career opportunities and related online degree programs. As technology continues to influence every industry, professionals with a background in computer science find pathways in fields such as criminal justice, accounting, data science, and construction management.

For those interested in law enforcement and cybersecurity, a criminal justice major offers an understanding of legal systems and digital forensics. Similarly, an online accountant degree equips students with data analysis and financial management skills, valuable for tech-driven financial roles.

Careers in tech also intersect with advanced analytics, making an online data science degree an excellent choice for students looking to specialize in big data, machine learning, or artificial intelligence.

Additionally, a construction management degree online bridges the gap between technology and large-scale project management—an industry now heavily reliant on digital planning and automation tools.

Exploring these related online degrees can unlock career flexibility and provide in-demand technical expertise across sectors.

Best Scientists Citing Julien Mairal

Trending Scientists

Recently Published Articles