World's Best Scientists 2026 revealed!
Matthieu Cord

Matthieu Cord

Award Badge
Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
18155
World Ranking
3027
National Ranking
48

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

Matthieu Cord is affiliated with Sorbonne University in France. Their research focuses primarily on computer science, with a specialization in computer vision and pattern recognition. The subfields of study they contribute to include artificial intelligence, automotive engineering, radiology, nuclear medicine and imaging, and signal processing.

The scientist has published extensively in several prominent venues. Their frequent publication outlets include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Computer Vision and Image Understanding
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Matthieu Cord's recent papers cover a range of topics in machine learning and image processing. Key publications include:

  • ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training (2022) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges (2022) in International Journal of Computer Vision
  • Training data-efficient image transformers & distillation through attention (2020) on arXiv (Cornell University)
  • DiffEdit: Diffusion-based semantic image editing with mask guidance (2022) on arXiv (Cornell University)

Frequent coauthors collaborating with Matthieu Cord include Patrick Pérez, Éloi Zablocki, Mustafa Shukor, Mickaël Chen, and Guillaume Couairon. This network highlights a collaborative research environment spanning various aspects of computer vision and artificial intelligence.

The main topics covered in Matthieu Cord's work demonstrate a focus on advanced methodologies, particularly in machine learning applications. These topics include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Autonomous Vehicle Technology and Safety
  • Natural Language Processing Techniques

Best Publications

  • Training data-efficient image transformers & distillation through attention

    Hugo Touvron;Matthieu Cord;Douze Matthijs;Francisco Massa

  • ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

    Tuan-Hung Vu;Himalaya Jain;Maxime Bucher;Matthieu Cord

  • ResMLP: Feedforward networks for image classification with data-efficient training

    Hugo Touvron;Piotr Bojanowski;Mathilde Caron;Matthieu Cord

  • MUTAN: Multimodal Tucker Fusion for Visual Question Answering

    Hedi Ben-younes;Remi Cadene;Matthieu Cord;Nicolas Thome

  • Training data-efficient image transformers & distillation through attention

    Hugo Touvron;Matthieu Cord;Matthijs Douze;Francisco Massa

  • PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

    Arthur Douillard;Matthieu Cord;Charles Ollion;Thomas Robert

  • DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

    Unknown

  • Boosting Few-Shot Visual Learning With Self-Supervision

    Spyros Gidaris;Andrei Bursuc;Nikos Komodakis;Patrick Perez Perez

  • WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

    Thibaut Durand;Taylor Mordan;Nicolas Thome;Matthieu Cord

  • Supervised Learning

    Unknown

  • MUREL: Multimodal Relational Reasoning for Visual Question Answering

    Remi Cadene;Hedi Ben-younes;Matthieu Cord;Nicolas Thome

  • DiffEdit: Diffusion-based semantic image editing with mask guidance

    Unknown

  • Pooling in image representation: The visual codeword point of view

    Sandra Avila;Nicolas Thome;Matthieu Cord;Eduardo Valle

  • Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges

    Unknown

  • Addressing Failure Prediction by Learning Model Confidence

    Charles Corbière;Nicolas Thome;Avner Bar-Hen;Matthieu Cord

  • Machine Learning Techniques for Multimedia

    Matthieu Cord;Pádraig Cunningham

  • BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection

    Hedi Ben-younes;Remi Cadene;Nicolas Thome;Matthieu Cord

  • Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

    Micael Carvalho;Rémi Cadène;David Picard;Laure Soulier

  • Recipe recognition with large multimodal food dataset

    Xin Wang;Devinder Kumar;Nicolas Thome;Matthieu Cord

  • WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks

    Thibaut Durand;Nicolas Thome;Matthieu Cord

  • RUBi: Reducing Unimodal Biases in Visual Question Answering

    Remi Cadene;Corentin Dancette;Hedi Ben-younes;Matthieu Cord

  • DADA: Depth-Aware Domain Adaptation in Semantic Segmentation

    Tuan-Hung Vu;Himalaya Jain;Maxime Bucher;Matthieu Cord

  • PLOP: Learning without Forgetting for Continual Semantic Segmentation

    Arthur Douillard;Yifu Chen;Arnaud Dapogny;Matthieu Cord

  • Active Learning Methods for Interactive Image Retrieval

    P.H. Gosselin;M. Cord

  • Zero-Shot Semantic Segmentation

    Maxime Bucher;Tuan-Hung Vu;Matthieu Cord;Patrick Pérez

  • RUBi: Reducing Unimodal Biases for Visual Question Answering

    Rémi Cadène;Corentin Dancette;Hedi Ben-younes;Matthieu Cord

Frequent Co-Authors

Nicolas Thome
Nicolas Thome Sorbonne University
Hervé Jégou
Hervé Jégou Facebook (United States)
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Devi Parikh
Devi Parikh Facebook (United States)
Matthijs Douze
Matthijs Douze Facebook (United States)
Nikos Komodakis
Nikos Komodakis University of Crete
Liming Chen
Liming Chen École Centrale de Lyon
Nicolas Ballas
Nicolas Ballas Facebook (United States)
Pádraig Cunningham
Pádraig Cunningham University College Dublin

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