H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 137 Citations 66,473 1,022 World Ranking 22 National Ranking 2

Research.com Recognitions

Awards & Achievements

2019 - ACM Fellow For contributions to representation learning and its applications

2017 - Australian Laureate Fellow

2017 - Fellow of the American Association for the Advancement of Science (AAAS)

2016 - Member of Academia Europaea

2013 - SPIE Fellow

2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and image understanding

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Computer vision, Feature extraction and Machine learning. Artificial intelligence is a component of his Feature, Discriminative model, Dimensionality reduction, Contextual image classification and Robustness studies. His work is dedicated to discovering how Pattern recognition, Subspace topology are connected with Theoretical computer science and other disciplines.

Dacheng Tao has included themes like Artificial neural network, Representation, Feature vector, Facial recognition system and Neural coding in his Feature extraction study. Within one scientific family, he focuses on topics pertaining to Image retrieval under Machine learning, and may sometimes address concerns connected to Graph. In his study, Algorithm is strongly linked to Convolutional neural network, which falls under the umbrella field of Deep learning.

His most cited work include:

  • General Tensor Discriminant Analysis and Gabor Features for Gait Recognition (1012 citations)
  • DehazeNet: An End-to-End System for Single Image Haze Removal (888 citations)
  • Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval (783 citations)

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

Dacheng Tao focuses on Artificial intelligence, Pattern recognition, Machine learning, Computer vision and Feature extraction. His study in Discriminative model, Image, Feature, Robustness and Subspace topology is carried out as part of his studies in Artificial intelligence. His Pattern recognition research incorporates themes from Contextual image classification, Facial recognition system and Cluster analysis.

His Machine learning research integrates issues from Training set, Image retrieval, Metric and Benchmark. His is doing research in Image processing, Image quality and Pixel, both of which are found in Computer vision. His work in Feature extraction is not limited to one particular discipline; it also encompasses Visualization.

He most often published in these fields:

  • Artificial intelligence (74.47%)
  • Pattern recognition (37.82%)
  • Machine learning (22.65%)

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

  • Artificial intelligence (74.47%)
  • Machine learning (22.65%)
  • Pattern recognition (37.82%)

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

Dacheng Tao mostly deals with Artificial intelligence, Machine learning, Pattern recognition, Deep learning and Artificial neural network. Dacheng Tao focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Computer vision and, in certain cases, Frame. His research on Machine learning often connects related areas such as Inference.

His work in Pattern recognition addresses subjects such as Code, which are connected to disciplines such as Object. He works mostly in the field of Artificial neural network, limiting it down to topics relating to Algorithm and, in certain cases, Kernel. The study incorporates disciplines such as Multi-task learning, Inpainting, Data mining and Benchmark in addition to Feature.

Between 2019 and 2021, his most popular works were:

  • Generalized Latent Multi-View Subspace Clustering (137 citations)
  • Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition (126 citations)
  • An Underwater Image Enhancement Benchmark Dataset and Beyond (103 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary scientific interests are in Artificial intelligence, Artificial neural network, Pattern recognition, Deep learning and Machine learning. His research ties Computer vision and Artificial intelligence together. His work deals with themes such as Algorithm, Quantum neural network and Topology, which intersect with Artificial neural network.

His Pattern recognition research includes themes of Subspace topology, Data point, Texture and Cluster analysis. His Deep learning research is multidisciplinary, relying on both Variety, Field, Scalability and Data science. His Machine learning research integrates issues from Data modeling and Upper and lower bounds.

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

General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)

1227 Citations

Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval

Dacheng Tao;Xiaoou Tang;Xuelong Li;Xindong Wu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)

961 Citations

DehazeNet: An End-to-End System for Single Image Haze Removal

Bolun Cai;Xiangmin Xu;Kui Jia;Chunmei Qing.
IEEE Transactions on Image Processing (2016)

824 Citations

A Survey on Multi-view Learning

Chang Xu;Dacheng Tao;Chao Xu.
arXiv: Learning (2013)

788 Citations

A survey of graph edit distance

Xinbo Gao;Bing Xiao;Dacheng Tao;Xuelong Li.
Pattern Analysis and Applications (2010)

627 Citations

Geometric Mean for Subspace Selection

Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

586 Citations

GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case

Tianyi Zhou;Dacheng Tao.
international conference on machine learning (2011)

561 Citations

MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking

Zhibin Hong;Zhe Chen;Chaohui Wang;Xue Mei.
computer vision and pattern recognition (2015)

533 Citations

Beyond streams and graphs: dynamic tensor analysis

Jimeng Sun;Dacheng Tao;Christos Faloutsos.
knowledge discovery and data mining (2006)

517 Citations

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang.
computer vision and pattern recognition (2017)

491 Citations

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Best Scientists Citing Dacheng Tao

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 267

Xinbo Gao

Xinbo Gao

Chongqing University of Posts and Telecommunications

Publications: 186

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 160

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 140

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 126

Yun Fu

Yun Fu

Northeastern University

Publications: 118

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 108

Dapeng Tao

Dapeng Tao

Yunnan University

Publications: 101

Yuan Yuan

Yuan Yuan

Huawei Technologies (China)

Publications: 95

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 93

Bo Du

Bo Du

Wuhan University

Publications: 92

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 91

Rongrong Ji

Rongrong Ji

Xiamen University

Publications: 88

Yuan Yan Tang

Yuan Yan Tang

University of Macau

Publications: 79

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 69

Weisi Lin

Weisi Lin

Nanyang Technological University

Publications: 69

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