D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 42 Citations 22,781 89 World Ranking 4074 National Ranking 84

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

His primary areas of investigation include Artificial intelligence, Sparse approximation, K-SVD, Pattern recognition and Machine learning. Artificial intelligence is often connected to Computer vision in his work. His Sparse approximation research incorporates elements of Probabilistic logic and Signal processing.

His K-SVD research includes themes of Online machine learning, Theoretical computer science and Neural coding. His study in the field of Discriminative model, Training set and Kernel is also linked to topics like Network architecture. His Artificial neural network and Overfitting study in the realm of Machine learning connects with subjects such as Data modeling, Invariant and Invariant.

His most cited work include:

  • Online Learning for Matrix Factorization and Sparse Coding (2137 citations)
  • Online dictionary learning for sparse coding (1670 citations)
  • Sparse Representation for Computer Vision and Pattern Recognition (1523 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Artificial intelligence, Machine learning, Pattern recognition, Mathematical optimization and Convex optimization. His Artificial intelligence study frequently draws connections to other fields, such as Computer vision. His work focuses on many connections between Machine learning and other disciplines, such as Segmentation, that overlap with his field of interest in Pascal.

His research related to K-SVD and Sparse approximation might be considered part of Pattern recognition. He has included themes like Regularization and Algorithm in his Convex optimization study. The Image processing study combines topics in areas such as Neural coding and Signal processing.

He most often published in these fields:

  • Artificial intelligence (53.38%)
  • Machine learning (29.05%)
  • Pattern recognition (21.62%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (53.38%)
  • Machine learning (29.05%)
  • Theoretical computer science (14.86%)

In recent papers he was focusing on the following fields of study:

Julien Mairal spends much of his time researching Artificial intelligence, Machine learning, Theoretical computer science, Artificial neural network and Unsupervised learning. His Artificial intelligence study often links to related topics such as Pattern recognition. His Pattern recognition research is multidisciplinary, incorporating elements of Image processing and Image restoration.

His Machine learning research includes elements of Segmentation and Decoding methods. His biological study spans a wide range of topics, including Embedding, Kernel method and Kernel. His research on Artificial neural network also deals with topics like

  • Compressed sensing together with Bilateral filter and Neural coding,
  • Stochastic gradient descent, Stochastic optimization, Robustness and Mathematical optimization most often made with reference to Convex optimization.

Between 2019 and 2021, his most popular works were:

  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (116 citations)
  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (80 citations)
  • On the Importance of Visual Context for Data Augmentation in Scene Understanding. (26 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Algorithm

The scientist’s investigation covers issues in Artificial intelligence, Machine learning, Pattern recognition, Feature selection and Classifier. His work on Online algorithm expands to the thematically related Artificial intelligence. The concepts of his Machine learning study are interwoven with issues in Visualization and Pascal.

He combines topics linked to JPEG with his work on Pattern recognition. Julien Mairal has researched Deep learning in several fields, including Image processing, Image restoration, Demosaicing and Deblocking filter. His Convolutional neural network research integrates issues from Segmentation, Image segmentation and Overfitting.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Online Learning for Matrix Factorization and Sparse Coding

Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro.
Journal of Machine Learning Research (2010)

2633 Citations

Online dictionary learning for sparse coding

Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro.
international conference on machine learning (2009)

2135 Citations

Sparse Representation for Computer Vision and Pattern Recognition

John Wright;Yi Ma;Julien Mairal;Guillermo Sapiro.
Proceedings of the IEEE (2010)

1915 Citations

Sparse Representation for Color Image Restoration

J. Mairal;M. Elad;G. Sapiro.
IEEE Transactions on Image Processing (2008)

1795 Citations

Non-local sparse models for image restoration

Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro.
international conference on computer vision (2009)

1612 Citations

Supervised Dictionary Learning

Julien Mairal;Jean Ponce;Guillermo Sapiro;Andrew Zisserman.
neural information processing systems (2008)

1268 Citations

Discriminative learned dictionaries for local image analysis

J. Mairal;F. Bach;J. Ponce;G. Sapiro.
computer vision and pattern recognition (2008)

926 Citations

Task-Driven Dictionary Learning

J. Mairal;F. Bach;J. Ponce.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)

875 Citations

Optimization with Sparsity-Inducing Penalties

Francis Bach;Rodolphe Jenatton;Julien Mairal;Guillaume Obozinski.
(2011)

764 Citations

Supervised Dictionary Learning

Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro.
arXiv: Computer Vision and Pattern Recognition (2008)

729 Citations

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Best Scientists Citing Julien Mairal

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

Publications: 91

Francis Bach

Francis Bach

French Institute for Research in Computer Science and Automation - INRIA

Publications: 81

Tianming Liu

Tianming Liu

University of Georgia

Publications: 74

Michael Elad

Michael Elad

Technion – Israel Institute of Technology

Publications: 71

Guillermo Sapiro

Guillermo Sapiro

Duke University

Publications: 68

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

Publications: 56

Vishal M. Patel

Vishal M. Patel

Johns Hopkins University

Publications: 55

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 55

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 54

Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

Publications: 51

Zhouchen Lin

Zhouchen Lin

Peking University

Publications: 50

Lawrence Carin

Lawrence Carin

King Abdullah University of Science and Technology

Publications: 48

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 47

Nasser M. Nasrabadi

Nasser M. Nasrabadi

West Virginia University

Publications: 47

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 47

Yong Xu

Yong Xu

Harbin Institute of Technology

Publications: 46

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