H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 78 Citations 24,385 240 World Ranking 512 National Ranking 31

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Pattern recognition

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Machine learning, Feature extraction and Training set. His research links Computer vision with Artificial intelligence. His Pattern recognition research incorporates themes from Probabilistic logic, Representation and Biometrics.

The concepts of his Machine learning study are interwoven with issues in Annotation and Topic model. His Feature extraction research includes themes of Semantic interpretation, Feature selection, Cluster analysis and Visual appearance. His Training set study also includes

  • Re identification that intertwine with fields like Image generation and Dropout,
  • Recurrent neural network, Classifier and Scalar most often made with reference to Contextual image classification.

His most cited work include:

  • Learning to Compare: Relation Network for Few-Shot Learning (1156 citations)
  • Reidentification by Relative Distance Comparison (581 citations)
  • Person Re-Identification by Support Vector Ranking (536 citations)

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

Artificial intelligence, Machine learning, Pattern recognition, Sketch and Discriminative model are his primary areas of study. Artificial intelligence is closely attributed to Computer vision in his research. His work carried out in the field of Machine learning brings together such families of science as Classifier, Feature extraction and Benchmark.

His Pattern recognition study frequently links to related topics such as Robustness. His biological study spans a wide range of topics, including Inference and Generative model. His research in Embedding intersects with topics in Semantics and Feature.

He most often published in these fields:

  • Artificial intelligence (88.75%)
  • Machine learning (46.62%)
  • Pattern recognition (36.33%)

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

  • Artificial intelligence (88.75%)
  • Machine learning (46.62%)
  • Sketch (16.72%)

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

Tao Xiang mainly investigates Artificial intelligence, Machine learning, Sketch, Pattern recognition and Generalization. Tao Xiang combines topics linked to Set with his work on Artificial intelligence. His studies deal with areas such as Object detection, Feature extraction and Code as well as Machine learning.

Tao Xiang has researched Feature extraction in several fields, including Contextual image classification, Image segmentation and Unsupervised learning. His Pattern recognition research is multidisciplinary, incorporating perspectives in Noise reduction, Transformer and Noise. He focuses mostly in the field of Image retrieval, narrowing it down to topics relating to Object and, in certain cases, Pattern recognition.

Between 2019 and 2021, his most popular works were:

  • Deep Learning for Person Re-identification: A Survey and Outlook (85 citations)
  • Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers (40 citations)
  • Deep Learning for Person Re-identification: A Survey and Outlook. (25 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary areas of study are Artificial intelligence, Generalization, Machine learning, Pattern recognition and Classifier. Artificial intelligence connects with themes related to Ranking in his study. His Machine learning research incorporates elements of Object detection and Code generation.

Tao Xiang mostly deals with Segmentation in his studies of Pattern recognition. Tao Xiang works mostly in the field of Classifier, limiting it down to topics relating to Leverage and, in certain cases, Image generation and Ensemble learning. His Feature extraction research includes elements of Contextual image classification, Image segmentation, Unsupervised learning 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

Person Re-Identification by Support Vector Ranking

Bryan James Prosser;Wei-Shi Zheng;Shaogang Gong;Tao Xiang.
british machine vision conference (2010)

761 Citations

Person re-identification by probabilistic relative distance comparison

Wei-Shi Zheng;Shaogang Gong;Tao Xiang.
computer vision and pattern recognition (2011)

714 Citations

Learning to Compare: Relation Network for Few-Shot Learning

Flood Sung;Yongxin Yang;Li Zhang;Tao Xiang.
computer vision and pattern recognition (2018)

708 Citations

Reidentification by Relative Distance Comparison

Wei-Shi Zheng;Shaogang Gong;Tao Xiang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2013)

706 Citations

Learning a Discriminative Null Space for Person Re-identification

Li Zhang;Tao Xiang;Shaogang Gong.
computer vision and pattern recognition (2016)

570 Citations

Recognising action as clouds of space-time interest points

Matteo Bregonzio;Shaogang Gong;Tao Xiang.
computer vision and pattern recognition (2009)

466 Citations

Associating Groups of People

Wei-Shi Zheng;Shaogang Gong;Tao Xiang.
british machine vision conference (2009)

446 Citations

Cumulative Attribute Space for Age and Crowd Density Estimation

Ke Chen;Shaogang Gong;Tao Xiang;Chen Change Loy.
computer vision and pattern recognition (2013)

362 Citations

Video Behavior Profiling for Anomaly Detection

Tao Xiang;Shaogang Gong.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

356 Citations

Recognition of group activities using dynamic probabilistic networks

Shaogang Gong;Tao Xiang.
international conference on computer vision (2003)

339 Citations

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Best Scientists Citing Tao Xiang

Shaogang Gong

Shaogang Gong

Queen Mary University of London

Publications: 84

Xiaogang Wang

Xiaogang Wang

Chinese University of Hong Kong

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Wei-Shi Zheng

Wei-Shi Zheng

Sun Yat-sen University

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Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

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Qi Tian

Qi Tian

Huawei Technologies (China)

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Yi Yang

Yi Yang

Zhejiang University

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Timothy M. Hospedales

Timothy M. Hospedales

University of Edinburgh

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Vittorio Murino

Vittorio Murino

Italian Institute of Technology

Publications: 47

Xiatian Zhu

Xiatian Zhu

University of Surrey

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Yasushi Yagi

Yasushi Yagi

Osaka University

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Chen Change Loy

Chen Change Loy

Nanyang Technological University

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Jiwen Lu

Jiwen Lu

Tsinghua University

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Liang Zheng

Liang Zheng

Australian National University

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Dacheng Tao

Dacheng Tao

University of Sydney

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Jianhuang Lai

Jianhuang Lai

Sun Yat-sen University

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Yanwei Fu

Yanwei Fu

Fudan University

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