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D-Index & Metrics

Computer Science

D-Index
65
Citations
37863
World Ranking
2386
National Ranking
1190

Overview

Hervé Jégou is affiliated with Facebook in the United States and has contributed extensively to the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition. Their research spans multiple subfields, including Artificial Intelligence, Electrical and Electronic Engineering, Media Technology, and Signal Processing.

The scientist's work addresses a range of topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Multimodal Machine Learning Applications, Generative Adversarial Networks and Image Synthesis, Digital Media Forensic Detection, and Adversarial Robustness in Machine Learning.

Jégou has published numerous papers, including key titles such as:

  • Emerging Properties in Self-Supervised Vision Transformers, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • DINOv2: Learning Robust Visual Features without Supervision, 2023, arXiv (Cornell University)
  • ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • XCiT: Cross-Covariance Image Transformers, 2021, arXiv (Cornell University)
  • Training Vision Transformers for Image Retrieval, 2021, arXiv (Cornell University)

Frequent co-authors collaborating with Jégou include:

  • Matthijs Douze
  • Hugo Touvron
  • Alaaeldin El-Nouby
  • Armand Joulin
  • Matthieu Cord

Their research outputs have appeared mainly in venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Big Data
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Best Publications

  • Emerging Properties in Self-Supervised Vision Transformers

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

  • Product Quantization for Nearest Neighbor Search

    H Jégou;M Douze;C Schmid

  • Aggregating local descriptors into a compact image representation

    Herve Jegou;Matthijs Douze;Cordelia Schmid;Patrick Perez

  • Billion-Scale Similarity Search with GPUs

    Jeff Johnson;Matthijs Douze;Herve Jegou

  • Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search

    Herve Jegou;Matthijs Douze;Cordelia Schmid

  • Aggregating Local Image Descriptors into Compact Codes

    H. Jegou;F. Perronnin;M. Douze;J. Sanchez

  • Training data-efficient image transformers & distillation through attention

    Hugo Touvron;Matthieu Cord;Douze Matthijs;Francisco Massa

  • DINOv2: Learning Robust Visual Features without Supervision

    Unknown

  • Word translation without parallel data

    Guillaume Lample;Alexis Conneau;Marc'Aurelio Ranzato;Ludovic Denoyer

  • Improving Bag-of-Features for Large Scale Image Search

    Hervé Jégou;Matthijs Douze;Cordelia Schmid

  • FastText.zip: Compressing text classification models

    Armand Joulin;Edouard Grave;Piotr Bojanowski;Matthijs Douze

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

    Hugo Touvron;Piotr Bojanowski;Mathilde Caron;Matthieu Cord

  • Particular object retrieval with integral max-pooling of CNN activations

    Giorgos Tolias;Ronan Sicre;Hervé Jégou

  • On the burstiness of visual elements

    Herve Jegou;Matthijs Douze;Cordelia Schmid

  • Evaluation of GIST descriptors for web-scale image search

    Matthijs Douze;Hervé Jégou;Harsimrat Sandhawalia;Laurent Amsaleg

  • Better Exploiting Motion for Better Action Recognition

    Mihir Jain;Herve Jegou;Patrick Bouthemy

  • Training data-efficient image transformers & distillation through attention

    Hugo Touvron;Matthieu Cord;Matthijs Douze;Francisco Massa

  • Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening

    Hervé Jégou;Ondřej Chum

  • Billion-scale semi-supervised learning for image classification.

    I. Zeki Yalniz;Hervé Jégou;Kan Chen;Manohar Paluri

  • Word Translation Without Parallel Data

    Alexis Conneau;Guillaume Lample;Marc'Aurelio Ranzato;Ludovic Denoyer

  • Locality sensitive hashing: A comparison of hash function types and querying mechanisms

    Loïc Paulevé;Hervé Jégou;Laurent Amsaleg

Frequent Co-Authors

Matthijs Douze
Matthijs Douze Facebook (United States)
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Armand Joulin
Armand Joulin Google (United States)
Edouard Grave
Edouard Grave Facebook (United States)
Matthieu Cord
Matthieu Cord Sorbonne University
Christine Guillemot
Christine Guillemot French Institute for Research in Computer Science and Automation - INRIA
Rémi Gribonval
Rémi Gribonval École Normale Supérieure de Lyon
Piotr Bojanowski
Piotr Bojanowski Facebook (United States)

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