H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 80 Citations 27,101 434 World Ranking 448 National Ranking 36

Research.com Recognitions

Awards & Achievements

2019 - ACM Fellow For contributions to face and sign language recognition and multimedia systems

2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to image modeling and object recognition

2016 - IEEE Fellow For contributions to machine vision for facial image analysis and sign language recognition

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Xilin Chen mainly investigates Artificial intelligence, Pattern recognition, Facial recognition system, Computer vision and Face. As part of his studies on Artificial intelligence, Xilin Chen often connects relevant areas like Machine learning. His Pattern recognition study combines topics from a wide range of disciplines, such as Contextual image classification, Feature, Rayleigh quotient and Sample.

In general Facial recognition system, his work in Face detection is often linked to Gabor wavelet linking many areas of study. His study in Computer vision is interdisciplinary in nature, drawing from both Encoding and Pattern recognition. His studies deal with areas such as Similarity, Text mining, Data mining, Database and Pose as well as Face.

His most cited work include:

  • Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition (911 citations)
  • WLD: A Robust Local Image Descriptor (784 citations)
  • The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations (772 citations)

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

Xilin Chen spends much of his time researching Artificial intelligence, Pattern recognition, Computer vision, Facial recognition system and Face. His research links Machine learning with Artificial intelligence. His studies in Pattern recognition integrate themes in fields like Contextual image classification, Object detection, Histogram and Robustness.

Computer vision is closely attributed to Representation in his research. The concepts of his Facial recognition system study are interwoven with issues in Classifier, Subspace topology, Facial expression and Training set. Xilin Chen integrates several fields in his works, including Face, Generalization and Focus.

He most often published in these fields:

  • Artificial intelligence (90.17%)
  • Pattern recognition (49.33%)
  • Computer vision (38.15%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (90.17%)
  • Pattern recognition (49.33%)
  • Computer vision (38.15%)

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

Xilin Chen mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Face and Discriminative model. While the research belongs to areas of Artificial intelligence, Xilin Chen spends his time largely on the problem of Machine learning, intersecting his research to questions surrounding Class. His work in Pattern recognition covers topics such as Binary code which are related to areas like Image retrieval.

In Computer vision, Xilin Chen works on issues like Relation, which are connected to Representation. His Face research is multidisciplinary, incorporating perspectives in End-to-end principle and Image. The Discriminative model study combines topics in areas such as Feature and Deep learning.

Between 2018 and 2021, his most popular works were:

  • AttGAN: Facial Attribute Editing by Only Changing What You Want (224 citations)
  • Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism (141 citations)
  • Interaction-And-Aggregation Network for Person Re-Identification (81 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Computer vision, Face and Feature extraction. His Feature, Discriminative model, Facial recognition system and Convolutional neural network study in the realm of Artificial intelligence connects with subjects such as Task analysis. Within one scientific family, he focuses on topics pertaining to Feature learning under Facial recognition system, and may sometimes address concerns connected to Gesture and Autoencoder.

His Pattern recognition course of study focuses on Encoder and Language model and Transformer. His Computer vision research incorporates elements of Identification and Code. Xilin Chen has included themes like Normalization, Scene graph and Image retrieval in his Feature extraction study.

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.

Top Publications

Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition

Wenchao Zhang;Shiguang Shan;Wen Gao;Xilin Chen.
international conference on computer vision (2005)

1285 Citations

The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations

Wen Gao;Bo Cao;Shiguang Shan;Xilin Chen.
systems man and cybernetics (2008)

1111 Citations

WLD: A Robust Local Image Descriptor

Jie Chen;Shiguang Shan;Chu He;Guoying Zhao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

1067 Citations

Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition

Baochang Zhang;Shiguang Shan;Xilin Chen;Wen Gao.
IEEE Transactions on Image Processing (2007)

708 Citations

Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment

Jie Zhang;Shiguang Shan;Meina Kan;Xilin Chen.
european conference on computer vision (2014)

594 Citations

Deep Supervised Hashing for Fast Image Retrieval

Haomiao Liu;Ruiping Wang;Shiguang Shan;Xilin Chen.
computer vision and pattern recognition (2016)

571 Citations

Multi-View Discriminant Analysis

Meina Kan;Shiguang Shan;Haihong Zhang;Shihong Lao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)

566 Citations

Manifold-Manifold Distance with application to face recognition based on image set

Ruiping Wang;Shiguang Shan;Xilin Chen;Wen Gao.
computer vision and pattern recognition (2008)

485 Citations

Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition

Shufu Xie;Shiguang Shan;Xilin Chen;Jie Chen.
IEEE Transactions on Image Processing (2010)

443 Citations

Hierarchical Ensemble of Global and Local Classifiers for Face Recognition

Yu Su;Shiguang Shan;Xilin Chen;Wen Gao.
IEEE Transactions on Image Processing (2009)

409 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Xilin Chen

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Tsinghua University

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University of Surrey

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Xiao-Yuan Jing

Xiao-Yuan Jing

Wuhan University

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David Zhang

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Chinese University of Hong Kong, Shenzhen

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Xuelong Li

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Northwestern Polytechnical University

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Stan Z. Li

Stan Z. Li

Chinese Academy of Sciences

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Wen Gao

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Zhenan Sun

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Chinese Academy of Sciences

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Junjun Jiang

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Harbin Institute of Technology

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Weihong Deng

Weihong Deng

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