World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8694
World Ranking
10522
National Ranking
1295

Overview

Ruiping Wang is a researcher affiliated with the Chinese Academy of Sciences in China, with a primary focus on computer science and related subfields. Their body of work includes significant contributions to computer vision, pattern recognition, and artificial intelligence. The scientist's research spans various domains, including advanced neural network applications and domain adaptation, emphasizing multimodal machine learning applications and advanced image and video retrieval techniques.

They have published more than 100 papers, with 66 in computer vision and pattern recognition and 34 related to artificial intelligence. Additional subfields include computational mechanics, polymers and plastics, and media technology. Major topics covered in their research include:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Topic Modeling
  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis

Ruiping Wang has collaborated frequently with a number of co-authors, reflecting a broad network within the field. These co-authors include Xilin Chen, Shiguang Shan, Miaojun Xu, Xian Sun, and Peijin Wang.

The scientist's recent publication record features works in notable venues, predominantly:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Pattern Recognition Letters
  • SSRN Electronic Journal
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Selected recent publications exemplify the scope of their research interests and outputs:

  • FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • RingMo: A Remote Sensing Foundation Model With Masked Image Modeling, 2022, IEEE Transactions on Geoscience and Remote Sensing
  • Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery, 2023, Nature Communications
  • SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions, 2022, CINECA IRIS Institutional Research Information System (University of Pisa)

The topics addressed in these publications indicate active engagement with remote sensing, few-shot learning, and continual learning challenges in computer vision. The synthesis of domain adaptation methodologies with advanced machine learning techniques appears central to their contributions.

Best Publications

  • Deep Supervised Hashing for Fast Image Retrieval

    Haomiao Liu;Ruiping Wang;Shiguang Shan;Xilin Chen

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

    Ruiping Wang;Shiguang Shan;Xilin Chen;Wen Gao

  • Covariance discriminative learning: A natural and efficient approach to image set classification

    Ruiping Wang;Huimin Guo;Larry S. Davis;Qionghai Dai

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

    Mengyi Liu;Shiguang Shan;Ruiping Wang;Xilin Chen

  • Manifold Discriminant Analysis

    Ruiping Wang;Xilin Chen

  • Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis

    Mengyi Liu;Shaoxin Li;Shiguang Shan;Ruiping Wang

  • Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets

    Wen Wang;Ruiping Wang;Zhiwu Huang;Shiguang Shan

  • RingMo: A Remote Sensing Foundation Model With Masked Image Modeling

    Unknown

  • Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition

    Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xilin Chen

  • Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships

    Yong Liu;Ruiping Wang;Shiguang Shan;Xilin Chen

  • Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification

    Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xianqiu Li

  • Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval

    Sijin Wang;Ruiping Wang;Ziwei Yao;Shiguang Shan

  • Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild

    Mengyi Liu;Ruiping Wang;Shaoxin Li;Shiguang Shan

  • Transferable Contrastive Network for Generalized Zero-Shot Learning

    Huajie Jiang;Ruiping Wang;Shiguang Shan;Xilin Chen

  • A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database

    Zhiwu Huang;Shiguang Shan;Ruiping Wang;Haihong Zhang

  • Manifold–Manifold Distance and its Application to Face Recognition With Image Sets

    Ruiping Wang;Shiguang Shan;Xilin Chen;Qionghai Dai

  • Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition

    Huajie Jiang;Ruiping Wang;Shiguang Shan;Xilin Chen

  • Learning Discriminative Latent Attributes for Zero-Shot Classification

    Huajie Jiang;Ruiping Wang;Shiguang Shan;Yi Yang

  • Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

    Difei Gao;Ke Li;Ruiping Wang;Shiguang Shan

  • Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric learning

    Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xilin Chen

  • Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification

    Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xilin Chen

Frequent Co-Authors

Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Wen Gao
Wen Gao Peking University
Qionghai Dai
Qionghai Dai Tsinghua University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Ajmal Mian
Ajmal Mian University of Western Australia
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Josef Kittler
Josef Kittler University of Surrey
Shifeng Zhang
Shifeng Zhang Beijing Forestry University
Fuzhai Cui
Fuzhai Cui Tsinghua University

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