World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
103
Citations
41831
World Ranking
323
National Ranking
38

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 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

Xilin Chen is affiliated with the University of Chinese Academy of Sciences in China and has contributed extensively to research in computer science, particularly in computer vision and pattern recognition. Their scholarly work spans over 320 publications, with significant subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Surgery, and Biomedical Engineering.

The scientist's research topics cover a broad spectrum of areas within machine learning and image analysis, including:

  • Domain Adaptation and Few-Shot Learning
  • Face recognition and analysis
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods

Xilin Chen has published work in various notable venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Pattern Recognition
  • IEEE Transactions on Image Processing

Recent papers feature a range of topics and venues, such as:

  • "OCNet: Object Context for Semantic Segmentation," 2021, International Journal of Computer Vision
  • "Clothes-Changing Person Re-identification with RGB Modality Only," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Visual Alignment Constraint for Continuous Sign Language Recognition," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection," 2020, IEEE Transactions on Information Forensics and Security
  • "HRFormer: High-Resolution Transformer for Dense Prediction," 2021, arXiv (Cornell University)

The scientist has collaborated frequently with co-authors including:

  • Shiguang Shan
  • Ruiping Wang
  • Hong Chang
  • Bingpeng Ma
  • Ruibing Hou

In terms of book publications, Xilin Chen has contributed 13 books published by Springer Science+Business Media. These works share the title Pattern Recognition and Computer Vision across multiple editions from 2020 to 2023.

The scientist has received recognitions such as:

  • ACM Fellow (2019) for contributions to face and sign language recognition and multimedia systems
  • Fellow of the International Association for Pattern Recognition (IAPR) (2016) for contributions to image modeling and object recognition
  • IEEE Fellow (2016) for contributions to machine vision for facial image analysis and sign language recognition

Best Publications

  • Deep Supervised Hashing for Fast Image Retrieval

    Haomiao Liu;Ruiping Wang;Shiguang Shan;Xilin Chen

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

    Wen Gao;Bo Cao;Shiguang Shan;Xilin Chen

  • 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

  • WLD: A Robust Local Image Descriptor

    Jie Chen;Shiguang Shan;Chu He;Guoying Zhao

  • Object-Contextual Representations for Semantic Segmentation

    Yuhui Yuan;Xilin Chen;Jingdong Wang

  • Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism

    Yong Li;Jiabei Zeng;Shiguang Shan;Xilin Chen

  • AttGAN: Facial Attribute Editing by Only Changing What You Want

    Zhenliang He;Wangmeng Zuo;Meina Kan;Shiguang Shan

  • Multi-View Discriminant Analysis

    Meina Kan;Shiguang Shan;Haihong Zhang;Shihong Lao

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

    Baochang Zhang;Shiguang Shan;Xilin Chen;Wen Gao

  • Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

    Yude Wang;Jie Zhang;Meina Kan;Shiguang Shan

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

    Jie Zhang;Shiguang Shan;Meina Kan;Xilin Chen

  • Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

    Hongkai Zhang;Hong Chang;Bingpeng Ma;Naiyan Wang

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

    Ruiping Wang;Shiguang Shan;Xilin Chen;Wen Gao

  • Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition

    Shufu Xie;Shiguang Shan;Xilin Chen;Jie Chen

  • Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

    Yuhui Yuan;Xiaokang Chen;Xilin Chen;Jingdong Wang

  • Hierarchical Ensemble of Global and Local Classifiers for Face Recognition

    Yu Su;Shiguang Shan;Xilin Chen;Wen Gao

  • Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition

    Mengyi Liu;Shiguang Shan;Ruiping Wang;Xilin Chen

  • Automatic detection and recognition of signs from natural scenes

    Xilin Chen;Jie Yang;Jing Zhang;A. Waibel

  • Interaction-And-Aggregation Network for Person Re-Identification

    Ruibing Hou;Bingpeng Ma;Hong Chang;Xinqian Gu

  • Cross Attention Network for Few-shot Classification

    Ruibing Hou;Hong Chang;Bingpeng Ma;Shiguang Shan

  • Manifold Discriminant Analysis

    Ruiping Wang;Xilin Chen

  • UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation.

    Huaishao Luo;Lei Ji;Botian Shi;Haoyang Huang

Frequent Co-Authors

Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Wen Gao
Wen Gao Peking University
Ruiping Wang
Ruiping Wang Chinese Academy of Sciences
Hong Chang
Hong Chang Chinese Academy of Sciences
Meina Kan
Meina Kan Chinese Academy of Sciences
Hu Han
Hu Han Chinese Academy of Sciences
Jie Yang
Jie Yang Carnegie Mellon University
Debin Zhao
Debin Zhao Harbin Institute of Technology
Hongxun Yao
Hongxun Yao Harbin Institute of Technology
Shihong Lao
Shihong Lao SenseTime

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