D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 53 Citations 10,376 230 World Ranking 3215 National Ranking 83

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary scientific interests are in Artificial intelligence, Pattern recognition, Computer vision, Image and Machine learning. Many of his studies involve connections with topics such as Surface and Artificial intelligence. His work on Convolutional neural network as part of general Pattern recognition research is frequently linked to Domain adaptation, Nonlinear system and Property, thereby connecting diverse disciplines of science.

His study in the field of Segmentation and Iterative reconstruction is also linked to topics like ENCODE and Contrast. His studies deal with areas such as Matching, Graphical model, Unary operation and Belief propagation as well as Image. His Ranking study in the realm of Machine learning connects with subjects such as Process.

His most cited work include:

  • Unsupervised Domain Adaptation by Domain Invariant Projection (308 citations)
  • Unsupervised Domain Adaptation by Domain Invariant Projection (308 citations)
  • Discrete-Continuous Depth Estimation from a Single Image (267 citations)

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

Mathieu Salzmann focuses on Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Segmentation. His study in Image, Deep learning, Pose, Monocular and Representation is done as part of Artificial intelligence. Mathieu Salzmann has researched Computer vision in several fields, including Surface, Polygon mesh and Robustness.

The various areas that Mathieu Salzmann examines in his Pattern recognition study include Object, Cognitive neuroscience of visual object recognition and Leverage. His Machine learning research incorporates elements of Training set, Inference and Benchmark. He interconnects Artificial neural network, Object detection and Algorithm in the investigation of issues within Segmentation.

He most often published in these fields:

  • Artificial intelligence (82.75%)
  • Computer vision (30.99%)
  • Pattern recognition (30.28%)

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

  • Artificial intelligence (82.75%)
  • Pattern recognition (30.28%)
  • Algorithm (15.14%)

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

Mathieu Salzmann spends much of his time researching Artificial intelligence, Pattern recognition, Algorithm, Computer vision and Deep learning. Artificial intelligence and Machine learning are commonly linked in his work. His research in the fields of Convolutional neural network and Unsupervised learning overlaps with other disciplines such as ENCODE.

His Algorithm research is multidisciplinary, incorporating perspectives in Parametric surface, Polygon mesh, Surface reconstruction, Curvature and Image stitching. The concepts of his Deep learning study are interwoven with issues in Computation, Least squares and Motion capture. His study in Image is interdisciplinary in nature, drawing from both Flow, Active learning and Feature extraction.

Between 2019 and 2021, his most popular works were:

  • Evaluating The Search Phase of Neural Architecture Search (131 citations)
  • Single-Stage 6D Object Pose Estimation (16 citations)
  • A Stochastic Conditioning Scheme for Diverse Human Motion Prediction (12 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Mathieu Salzmann mostly deals with Artificial intelligence, Pattern recognition, Algorithm, Deep learning and Machine learning. Mathieu Salzmann combines subjects such as Sequence, Key and Computer vision with his study of Artificial intelligence. His Pattern recognition study incorporates themes from Object and Image processing, Image.

His study explores the link between Algorithm and topics such as Leverage that cross with problems in Point cloud, Shape reconstruction, Surface reconstruction, Metric tensor and Differentiable function. His Deep learning study integrates concerns from other disciplines, such as Visualization, Unsupervised learning, Motion capture and Blossom algorithm. The Machine learning study combines topics in areas such as Simple random sample, Heuristics, Similarity and Search algorithm.

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

Unsupervised Domain Adaptation by Domain Invariant Projection

Mahsa Baktashmotlagh;Mahsa Baktashmotlagh;Mehrtash T. Harandi;Mehrtash T. Harandi;Brian C. Lovell;Mathieu Salzmann;Mathieu Salzmann.
international conference on computer vision (2013)

432 Citations

Discrete-Continuous Depth Estimation from a Single Image

Miaomiao Liu;Mathieu Salzmann;Xuming He.
computer vision and pattern recognition (2014)

381 Citations

Beyond Sharing Weights for Deep Domain Adaptation

Artem Rozantsev;Mathieu Salzmann;Pascal Fua.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)

370 Citations

Context-Aware Crowd Counting

Weizhe Liu;Mathieu Salzmann;Pascal Fua.
computer vision and pattern recognition (2019)

328 Citations

Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices

Sadeep Jayasumana;Richard Hartley;Mathieu Salzmann;Hongdong Li.
computer vision and pattern recognition (2013)

317 Citations

Learning the Number of Neurons in Deep Networks

Jose M. Alvarez;Mathieu Salzmann.
neural information processing systems (2016)

311 Citations

Deep Subspace Clustering Networks

Pan Ji;Tong Zhang;Hongdong Li;Mathieu Salzmann.
neural information processing systems (2017)

296 Citations

Learning to Find Good Correspondences

Kwang Moo Yi;Eduard Trulls;Yuki Ono;Vincent Lepetit.
computer vision and pattern recognition (2018)

239 Citations

Evaluating The Search Phase of Neural Architecture Search

Kaicheng Yu;Christian Sciuto;Martin Jaggi;Claudiu Musat.
international conference on learning representations (2020)

231 Citations

Structured Prediction of 3D Human Pose with Deep Neural Networks

Bugra Tekin;Isinsu Katircioglu;Mathieu Salzmann;Vincent Lepetit.
british machine vision conference (2016)

224 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Mathieu Salzmann

Adrien Bartoli

Adrien Bartoli

University of Clermont Auvergne

Publications: 74

Pascal Fua

Pascal Fua

École Polytechnique Fédérale de Lausanne

Publications: 49

Luc Van Gool

Luc Van Gool

ETH Zurich

Publications: 47

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 43

Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

Publications: 41

Mehrtash Harandi

Mehrtash Harandi

Monash University

Publications: 36

Richard Hartley

Richard Hartley

Australian National University

Publications: 34

Gerard Pons-Moll

Gerard Pons-Moll

University of Tübingen

Publications: 32

Chunhua Shen

Chunhua Shen

Zhejiang University

Publications: 30

Wanli Ouyang

Wanli Ouyang

University of Sydney

Publications: 29

Francesc Moreno-Noguer

Francesc Moreno-Noguer

Universitat Politècnica de Catalunya

Publications: 29

Fatih Porikli

Fatih Porikli

Australian National University

Publications: 28

Nassir Navab

Nassir Navab

Technical University of Munich

Publications: 27

Yuchao Dai

Yuchao Dai

Northwestern Polytechnical University

Publications: 26

Junbin Gao

Junbin Gao

University of Sydney

Publications: 25

Nicu Sebe

Nicu Sebe

University of Trento

Publications: 25

Trending Scientists

Hong G. Im

Hong G. Im

King Abdullah University of Science and Technology

Ralf I. Kaiser

Ralf I. Kaiser

University of Hawaii at Manoa

Colin J. Barrow

Colin J. Barrow

Deakin University

Roger J. Narayan

Roger J. Narayan

North Carolina State University

Haluk E. Karaca

Haluk E. Karaca

University of Kentucky

Jörg Stülke

Jörg Stülke

University of Göttingen

Lu Lu

Lu Lu

University of Tennessee Health Science Center

Martina Schnölzer

Martina Schnölzer

German Cancer Research Center

Svein Solberg

Svein Solberg

Norwegian Institute of Bioeconomy Research

Alexei Lyapustin

Alexei Lyapustin

Goddard Space Flight Center

Thomas M. Young

Thomas M. Young

University of California, Davis

Kuniyoshi L. Sakai

Kuniyoshi L. Sakai

University of Tokyo

Tania M. Lincoln

Tania M. Lincoln

Universität Hamburg

Susan Krauss Whitbourne

Susan Krauss Whitbourne

University of Massachusetts Amherst

Jonas Pontusson

Jonas Pontusson

University of Geneva

Albert Lazzarini

Albert Lazzarini

California Institute of Technology

Something went wrong. Please try again later.