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Computer Science

D-Index
33
Citations
6544
World Ranking
12471
National Ranking
1532

Overview

Meina Kan is affiliated with the Chinese Academy of Sciences in China and specializes primarily in the field of Computer Science, with a concentration on Computer Vision and Pattern Recognition. Their research portfolio includes 52 publications in this domain, with significant contributions to Artificial Intelligence, Industrial and Manufacturing Engineering, Signal Processing, and Building and Construction.

Their work centers on several key topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Face recognition and analysis
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Generative Adversarial Networks and Image Synthesis
  • Industrial Vision Systems and Defect Detection
  • Face and Expression Recognition

Recent publications by Meina Kan include:

  • "Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation," 2020, arXiv (Cornell University)
  • "Learning pseudo labels for semi-and-weakly supervised semantic segmentation," 2022, Pattern Recognition
  • "Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing," 2020, arXiv (Cornell University)

Their frequent publication venues consist of:

  • arXiv (Cornell University)
  • Journal of Image and Graphics
  • IEEE Transactions on Neural Networks and Learning Systems
  • Pattern Recognition
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Meina Kan has collaborated often with several coauthors, including:

  • Shiguang Shan (23 joint works)
  • Xilin Chen (13 joint works)
  • Zhenliang He (4 joint works)
  • Chunrui Han (3 joint works)
  • Xingguang Song (3 joint works)

In addition to journal and conference papers, Kan has contributed to book publications. One recorded book publication is Biometric Recognition published by Springer Science+Business Media in 2022, which has received citations in the academic community.

Best Publications

  • 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

  • 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

  • Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses

    Meina Kan;Shiguang Shan;Hong Chang;Xilin Chen

  • Multi-view Deep Network for Cross-View Classification

    Meina Kan;Shiguang Shan;Xilin Chen

  • Duplex Generative Adversarial Network for Unsupervised Domain Adaptation

    Lanqing Hu;Meina Kan;Shiguang Shan;Xilin Chen

  • Generative Adversarial Network with Spatial Attention for Face Attribute Editing

    Gang Zhang;Meina Kan;Meina Kan;Shiguang Shan;Shiguang Shan;Xilin Chen

  • AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation

    Xin Liu;Shaoxin Li;Meina Kan;Jie Zhang

  • Multi-view discriminant analysis

    Meina Kan;Shiguang Shan;Haihong Zhang;Shihong Lao

  • Funnel-structured cascade for multi-view face detection with alignment-awareness

    Shuzhe Wu;Meina Kan;Zhenliang He;Shiguang Shan

  • Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders

    Jie Zhang;Meina Kan;Shiguang Shan;Xilin Chen

  • Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks

    Xuepeng Shi;Shiguang Shan;Meina Kan;Shuzhe Wu

  • Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common Subspace

    Meina Kan;Junting Wu;Shiguang Shan;Xilin Chen

  • Weakly Supervised Object Detection With Segmentation Collaboration

    Xiaoyan Li;Meina Kan;Shiguang Shan;Xilin Chen

  • Learning to Learn Adaptive Classifier–Predictor for Few-Shot Learning

    Nan Lai;Meina Kan;Chunrui Han;Xingguang Song

  • Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization

    Lanqing Hu;Meina Kan;Shiguang Shan;Xilin Chen

  • Side-Information based Linear Discriminant Analysis for Face Recognition.

    Meina Kan;Shiguang Shan;Dong Xu;Xilin Chen

  • Fully Learnable Group Convolution for Acceleration of Deep Neural Networks

    Xijun Wang;Meina Kan;Shiguang Shan;Xilin Chen

  • Adaptive discriminant learning for face recognition

    Meina Kan;Shiguang Shan;Yu Su;Dong Xu

  • VIPLFaceNet: an open source deep face recognition SDK

    Xin Liu;Meina Kan;Wanglong Wu;Shiguang Shan

Frequent Co-Authors

Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Dong Xu
Dong Xu University of Hong Kong
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Shihong Lao
Shihong Lao SenseTime
Wen Gao
Wen Gao Peking University
Dacheng Tao
Dacheng Tao Nanyang Technological University
P. Jonathon Phillips
P. Jonathon Phillips National Institute of Standards and Technology
Bruce A. Draper
Bruce A. Draper Colorado State University
Josef Kittler
Josef Kittler University of Surrey

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