World's Best Scientists 2026 revealed!
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Computer Science
France
2026

D-Index & Metrics

Computer Science

D-Index
86
Citations
63229
World Ranking
744
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in France Leader Award
  • 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

Jean Ponce is affiliated with the École Normale Supérieure in France and specializes in fields related to computer science and engineering. Their research primarily engages with areas such as computer vision and pattern recognition, artificial intelligence, media technology, aerospace engineering, and computational mechanics.

The scientist's main topics of work cover a broad spectrum of advanced computational techniques, including:

  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Sparse and Compressive Sensing Techniques

Jean Ponce has authored numerous publications, frequently contributing to prominent venues such as arXiv (Cornell University), the Monthly Notices of the Royal Astronomical Society, the IEEE/CVF International Conference on Computer Vision (ICCV), the IEEE Transactions on Pattern Analysis and Machine Intelligence, and ACM Transactions on Graphics.

Notable recent papers include:

  • VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning, 2021, arXiv (Cornell University)
  • Localizing Objects with Self-Supervised Transformers and no Labels, 2021, arXiv (Cornell University)
  • Unsupervised Layered Image Decomposition into Object Prototypes, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • CCVS: Context-aware Controllable Video Synthesis, 2021, arXiv (Cornell University)

The scientist collaborates with several frequent co-authors, including:

  • Julien Mairal
  • Cordelia Schmid
  • Bruno Lecouat
  • Théo Bodrito
  • Olivier Flasseur

Best Publications

  • Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

    S. Lazebnik;C. Schmid;J. Ponce

  • Computer Vision: A Modern Approach

    David A. Forsyth;Jean Ponce

  • Accurate, Dense, and Robust Multiview Stereopsis

    Yasutaka Furukawa;Jean Ponce

  • Accurate, Dense, and Robust Multi-View Stereopsis

    Y. Furukawa;J. Ponce

  • 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

  • Non-local sparse models for image restoration

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • A Theoretical Analysis of Feature Pooling in Visual Recognition

    Y-lan Boureau;Y-lan Boureau;Jean Ponce;Jean Ponce;Yann Lecun

  • A sparse texture representation using local affine regions

    S. Lazebnik;C. Schmid;J. Ponce

  • Learning mid-level features for recognition

    Y-Lan Boureau;Francis Bach;Yann LeCun;Jean Ponce

  • Supervised Dictionary Learning

    Julien Mairal;Jean Ponce;Guillermo Sapiro;Andrew Zisserman

  • 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

  • Learning a convolutional neural network for non-uniform motion blur removal

    Jian Sun;Wenfei Cao;Zongben Xu;Jean Ponce

  • Non-uniform Deblurring for Shaken Images

    Oliver Whyte;Josef Sivic;Andrew Zisserman;Jean Ponce

  • Supervised Dictionary Learning

    Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

  • A Tensor-Based Algorithm for High-Order Graph Matching

    O. Duchenne;F. Bach;In-So Kweon;Jean Ponce

  • Discriminative clustering for image co-segmentation

    Armand Joulin;Francis Bach;Jean Ponce

  • 3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints

    Fred Rothganger;Svetlana Lazebnik;Cordelia Schmid;Jean Ponce

  • Sparse Modeling for Image and Vision Processing

    Julien Mairal;Francis Bach;Jean Ponce

  • 计算机视觉 : Computer vision一种现代方法a modern approach英文版 / .

    David A. Forsyth;Jean Ponce

Frequent Co-Authors

Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Francis Bach
Francis Bach École Normale Supérieure
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
David J. Kriegman
David J. Kriegman University of California, San Diego
Martial Hebert
Martial Hebert Carnegie Mellon University
Minsu Cho
Minsu Cho Pohang University of Science and Technology
Andrew Zisserman
Andrew Zisserman University of Oxford
Yasutaka Furukawa
Yasutaka Furukawa Simon Fraser University
Ivan Laptev
Ivan Laptev Mohamed bin Zayed University of Artificial Intelligence
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA

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