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 35 Citations 8,851 70 World Ranking 5991 National Ranking 565

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His primary scientific interests are in Artificial intelligence, Facial recognition system, Face, Pattern recognition and Computer vision. His work on Re identification, Outlier and Texture feature as part of general Artificial intelligence research is often related to Mathematics and Hypergraph, thus linking different fields of science. Dong Yi performs integrative study on Facial recognition system and Liveness.

His research integrates issues of Support vector machine and Biometrics in his study of Face. His research in Pattern recognition intersects with topics in Pixel and 3D pose estimation. His Computer vision study incorporates themes from Salient and Robustness.

His most cited work include:

  • Learning Face Representation from Scratch (1003 citations)
  • Deep Metric Learning for Person Re-identification (516 citations)
  • High-fidelity Pose and Expression Normalization for face recognition in the wild (389 citations)

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

Dong Yi spends much of his time researching Artificial intelligence, Facial recognition system, Pattern recognition, Computer vision and Face. His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Machine learning, with regards to Field. A large part of his Facial recognition system studies is devoted to Three-dimensional face recognition.

His Pattern recognition research is multidisciplinary, relying on both Contextual image classification and Pixel. His work on Face matching, Feature and Video tracking as part of general Computer vision research is frequently linked to Process and Context model, thereby connecting diverse disciplines of science. In the field of Face, his study on Face detection overlaps with subjects such as Liveness, Set, Initialization and User Friendly.

He most often published in these fields:

  • Artificial intelligence (85.29%)
  • Facial recognition system (61.76%)
  • Pattern recognition (57.35%)

What were the highlights of his more recent work (between 2014-2020)?

  • Artificial intelligence (85.29%)
  • Facial recognition system (61.76%)
  • Pattern recognition (57.35%)

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

Dong Yi mainly investigates Artificial intelligence, Facial recognition system, Pattern recognition, Feature extraction and Deep learning. His work in the fields of Artificial intelligence, such as Face and Convolutional neural network, overlaps with other areas such as Process. The study incorporates disciplines such as 3D pose estimation, Machine learning and Inpainting in addition to Facial recognition system.

In his research, Support vector machine is intimately related to Feature, which falls under the overarching field of Pattern recognition. The various areas that he examines in his Feature extraction study include Classifier, Speech recognition and Spoofing attack. His Deep learning course of study focuses on Three-dimensional face recognition and Feature learning.

Between 2014 and 2020, his most popular works were:

  • High-fidelity Pose and Expression Normalization for face recognition in the wild (389 citations)
  • When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition (124 citations)
  • Multi-label CNN based pedestrian attribute learning for soft biometrics (90 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

Dong Yi focuses on Artificial intelligence, Facial recognition system, Convolutional neural network, Pattern recognition and High fidelity. His Three-dimensional face recognition study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Independence, bridging the gap between disciplines. His Three-dimensional face recognition research integrates issues from Machine learning and Deep learning.

His Independence study spans across into subjects like Grid, Support vector machine, Soft biometrics, Artificial neural network and Biometrics. His study in Grid intersects with areas of studies such as Data mining and Feature. Among his High fidelity studies, there is a synthesis of other scientific areas such as 3D pose estimation, Computer vision, Inpainting, Normalization and Normalization.

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

Learning Face Representation from Scratch

Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li.
arXiv: Computer Vision and Pattern Recognition (2014)

1232 Citations

Deep Metric Learning for Person Re-identification

Dong Yi;Zhen Lei;Shengcai Liao;Stan Z. Li.
international conference on pattern recognition (2014)

775 Citations

Salient Color Names for Person Re-identification

Yang Yang;Jimei Yang;Junjie Yan;Shengcai Liao.
european conference on computer vision (2014)

449 Citations

A face antispoofing database with diverse attacks

Zhiwei Zhang;Junjie Yan;Sifei Liu;Zhen Lei.
international conference on biometrics (2012)

426 Citations

High-fidelity Pose and Expression Normalization for face recognition in the wild

Xiangyu Zhu;Zhen Lei;Junjie Yan;Dong Yi.
computer vision and pattern recognition (2015)

391 Citations

Towards Pose Robust Face Recognition

Dong Yi;Zhen Lei;Stan Z. Li.
computer vision and pattern recognition (2013)

235 Citations

The CASIA NIR-VIS 2.0 Face Database

Stan Z. Li;Dong Yi;Zhen Lei;Shengcai Liao.
computer vision and pattern recognition (2013)

233 Citations

Face liveness detection by learning multispectral reflectance distributions

Zhiwei Zhang;Dong Yi;Zhen Lei;Stan Z. Li.
ieee international conference on automatic face gesture recognition (2011)

198 Citations

Age Estimation by Multi-scale Convolutional Network

Dong Yi;Zhen Lei;Stan Z. Li.
asian conference on computer vision (2014)

194 Citations

Competition on counter measures to 2-D facial spoofing attacks

Murali Mohan Chakka;Andre Anjos;Sebastien Marcel;Roberto Tronci.
International Journal of Central Banking (2011)

191 Citations

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Best Scientists Citing Dong Yi

Stan Z. Li

Stan Z. Li

Chinese Academy of Sciences

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Zhen Lei

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Chinese Academy of Sciences

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Michigan State University

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Rama Chellappa

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Johns Hopkins University

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Xiaoming Liu

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Michigan State University

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Weihong Deng

Weihong Deng

Beijing University of Posts and Telecommunications

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Ran He

Ran He

Chinese Academy of Sciences

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Shengcai Liao

Shengcai Liao

Inception Institute of Artificial Intelligence

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Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

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Sébastien Marcel

Sébastien Marcel

Idiap Research Institute

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Xilin Chen

Xilin Chen

Institute Of Computing Technology

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Wei-Shi Zheng

Wei-Shi Zheng

Sun Yat-sen University

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Stefanos Zafeiriou

Stefanos Zafeiriou

Imperial College London

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Jiwen Lu

Jiwen Lu

Tsinghua University

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Ioannis A. Kakadiaris

Ioannis A. Kakadiaris

University of Houston

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Josef Kittler

Josef Kittler

University of Surrey

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