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 49 Citations 10,142 211 World Ranking 3035 National Ranking 80

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His main research concerns Artificial intelligence, Computer vision, Mathematical optimization, Pattern recognition and Biometrics. The Artificial intelligence study combines topics in areas such as Algorithm and Pure mathematics. His research in Computer vision intersects with topics in Matrix decomposition, Simple and Pattern recognition.

His Mathematical optimization research integrates issues from Outlier, Robustness and Maxima and minima. His work on Feature vector as part of general Pattern recognition research is frequently linked to Key, thereby connecting diverse disciplines of science. Hongdong Li focuses mostly in the field of Biometrics, narrowing it down to matters related to Feature and, in some cases, Canonical correlation, Biclustering, Similarity and Motion.

His most cited work include:

  • The Visual Object Tracking VOT2016 Challenge Results (462 citations)
  • Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration (307 citations)
  • Neural Aggregation Network for Video Face Recognition (246 citations)

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

His primary areas of study are Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Mathematical optimization. Feature extraction, Benchmark, Segmentation, Motion estimation and Object are the primary areas of interest in his Artificial intelligence study. Hongdong Li usually deals with Computer vision and limits it to topics linked to Robustness and Outlier.

His studies deal with areas such as Embedding, Feature, Invariant and Biometrics as well as Pattern recognition. The various areas that Hongdong Li examines in his Algorithm study include Perspective and Cluster analysis. Hongdong Li has included themes like Factorization, Real image and Convex optimization in his Mathematical optimization study.

He most often published in these fields:

  • Artificial intelligence (80.18%)
  • Computer vision (56.39%)
  • Pattern recognition (22.03%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (80.18%)
  • Computer vision (56.39%)
  • Pattern recognition (22.03%)

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

His primary scientific interests are in Artificial intelligence, Computer vision, Pattern recognition, Benchmark and Pose. His work in Image, 3D reconstruction, Segmentation, Feature extraction and Convolutional neural network are all subfields of Artificial intelligence research. Hongdong Li combines subjects such as Convolution, Robustness, Outlier and Piecewise with his study of Computer vision.

His work carried out in the field of Pattern recognition brings together such families of science as Embedding, Recurrent neural network, Ranking and Cluster analysis. His Benchmark study deals with Deep learning intersecting with Sign, Natural language processing and Graph. His Pose research is multidisciplinary, incorporating elements of Correspondence problem, Focus and Algorithm.

Between 2016 and 2021, his most popular works were:

  • Neural Aggregation Network for Video Face Recognition (246 citations)
  • Deep Subspace Clustering Networks (200 citations)
  • Self-Supervised Learning for Stereo Matching with Self-Improving Ability. (93 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Hongdong Li spends much of his time researching Artificial intelligence, Computer vision, Benchmark, Pattern recognition and Robustness. He performs integrative study on Artificial intelligence and Key in his works. As part of the same scientific family, Hongdong Li usually focuses on Computer vision, concentrating on Metric and intersecting with Leverage.

Hongdong Li works mostly in the field of Benchmark, limiting it down to topics relating to Image and, in certain cases, Generalization, Complement, Representation and Biometrics, as a part of the same area of interest. His work in Robustness tackles topics such as Pose which are related to areas like Computational geometry, Correspondence problem, Outlier, Synthetic data and Multi camera. His Feature research focuses on Algorithm and how it relates to Vehicle dynamics and Solver.

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

The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg.
european conference on computer vision (2016)

1423 Citations

Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration

Jiaolong Yang;Hongdong Li;Dylan Campbell;Yunde Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)

406 Citations

Go-ICP: Solving 3D Registration Efficiently and Globally Optimally

Jiaolong Yang;Hongdong Li;Yunde Jia.
international conference on computer vision (2013)

337 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)

286 Citations

Neural Aggregation Network for Video Face Recognition

Jiaolong Yang;Peiran Ren;Dongqing Zhang;Dong Chen.
computer vision and pattern recognition (2017)

260 Citations

Five-Point Motion Estimation Made Easy

Hongdong Li;R. Hartley.
international conference on pattern recognition (2006)

259 Citations

A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization

Yuchao Dai;Hongdong Li;Mingyi He.
International Journal of Computer Vision (2014)

255 Citations

Deep Subspace Clustering Networks

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

221 Citations

Multiple views gait recognition using View Transformation Model based on optimized Gait Energy Image

Worapan Kusakunniran;Qiang Wu;Hongdong Li;Jian Zhang.
international conference on computer vision (2009)

196 Citations

The 3D-3D Registration Problem Revisited

Hongdong Li;R. Hartley.
international conference on computer vision (2007)

179 Citations

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Best Scientists Citing Hongdong Li

Marc Pollefeys

Marc Pollefeys

ETH Zurich

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Yuchao Dai

Yuchao Dai

Northwestern Polytechnical University

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Richard Hartley

Australian National University

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Yasushi Yagi

Osaka University

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Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

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Tat-Jun Chin

Tat-Jun Chin

University of Adelaide

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Luc Van Gool

Luc Van Gool

ETH Zurich

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Mathieu Salzmann

Mathieu Salzmann

École Polytechnique Fédérale de Lausanne

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Fredrik Kahl

Fredrik Kahl

Chalmers University of Technology

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Simon Lucey

Simon Lucey

University of Adelaide

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Tomas Pajdla

Tomas Pajdla

Czech Technical University in Prague

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Mehrtash Harandi

Mehrtash Harandi

Monash University

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Fatih Porikli

Fatih Porikli

Australian National University

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Torsten Sattler

Torsten Sattler

Czech Technical University in Prague

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David Suter

David Suter

Edith Cowan University

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Junbin Gao

Junbin Gao

University of Sydney

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