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D-Index & Metrics

Computer Science

D-Index
34
Citations
5639
World Ranking
12085
National Ranking
1494

Overview

Xiangqian Wu is affiliated with the Harbin Institute of Technology in China and has contributed extensively to the field of computer science, with a focus on computer vision and pattern recognition. Their research spans various interconnected domains, including advanced image and video retrieval techniques and biometric identification and security.

The scientist's publication record highlights a concentration in topics such as video surveillance and tracking methods, multimodal machine learning applications, and human pose and action recognition. Additional areas of study cover domain adaptation, few-shot learning, and advances in vision and imaging.

The list of recent papers by Xiangqian Wu includes:

  • Multi-task framework based on feature separation and reconstruction for cross-modal retrieval, 2021, Pattern Recognition
  • Latent Space Semantic Supervision Based on Knowledge Distillation for Cross-Modal Retrieval, 2022, IEEE Transactions on Image Processing
  • Joint Finger Valley Points-Free ROI Detection and Recurrent Layer Aggregation for Palmprint Recognition in Open Environment, 2024, IEEE Transactions on Information Forensics and Security
  • Hierarchical Point Matching Method Based on Triangulation Constraint and Propagation, 2020, ISPRS International Journal of Geo-Information
  • Capsule-Based Regression Tracking via Background Inpainting, 2023, IEEE Transactions on Image Processing

Frequent co-authors collaborating with Xiangqian Wu reflect ongoing teamwork across multiple projects and include Ding Ma, Li Zhang, Tingting Chai, Shuheng Ge, and Xin Wang.

The venues where this researcher frequently publishes reflect a consistent focus on image processing and artificial intelligence, with multiple contributions to:

  • IEEE Transactions on Image Processing
  • arXiv (Cornell University)
  • Pattern Recognition
  • IEEE Transactions on Information Forensics and Security
  • Engineering Applications of Artificial Intelligence

Xiangqian Wu's scientific output centers on computer science with 34 publications, notably within the subfield of computer vision and pattern recognition, which accounts for 26 of these works. Additional subfields include artificial intelligence, aerospace engineering, signal processing, and areas related to safety, risk, reliability, and quality.

Best Publications

  • Pyramid Feature Attention Network for Saliency Detection

    Unknown

  • Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

    Meindert Niemeijer;Bram van Ginneken;Michael J Cree;Atsushi Mizutani

  • Fisherpalms based palmprint recognition

    Xiangqian Wu;David Zhang;Kuanquan Wang

  • Detection of microaneurysms using multi-scale correlation coefficients

    Bob Zhang;Xiangqian Wu;Jane You;Qin Li

  • Palmprint classification using principal lines

    Xiangqian Wu;David Zhang;Kuanquan Wang;Bo Huang

  • Palm line extraction and matching for personal authentication

    Xiangqian Wu;D. Zhang;Kuanquan Wang

  • Offline Text-Independent Writer Identification Based on Scale Invariant Feature Transform

    Xiangqian Wu;Youbao Tang;Wei Bu

  • A SIFT-based contactless palmprint verification approach using iterative RANSAC and local palmprint descriptors

    Xiangqian Wu;Qiushi Zhao;Wei Bu

  • Retinal vessel segmentation: an efficient graph cut approach with retinex and local phase.

    Yitian Zhao;Yonghuai Liu;Xiangqian Wu;Simon P. Harding

  • Scene Text Detection and Segmentation Based on Cascaded Convolution Neural Networks

    Youbao Tang;Xiangqian Wu

  • A Novel Cryptosystem Based on Iris Key Generation

    Xiangqian Wu;Ning Qi;Kuanquan Wang;D. Zhang

  • Fuzzy directional element energy feature (FDEEF) based palmprint identification

    Xiangqian Wu;Kuanquan Wang;D. Zhang

  • Exploration of classification confidence in ensemble learning

    Leijun Li;Qinghua Hu;Xiangqian Wu;Daren Yu

  • Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs

    Unknown

  • WAVELET BASED PALMPRINT RECOGNITION

    Xiangqian Wu;Kuanquan Wang;David D. Zhang

  • Wavelet energy feature extraction and matching for palmprint recognition

    Xiang-Qian Wu;Kuan-Quan Wang;David Zhang

  • A novel approach of palm-line extraction

    Xiangqian Wu;Kuanquan Wang;D. Zhang

  • Palmprint Texture Analysis Using Derivative of Gaussian Filters

    Xiangqian Wu;Kuanquan Wang;David Zhang

  • HMMs Based Palmprint Identification

    Xiangqian Wu;Kuanquan Wang;Dapeng Zhang

  • Palmprint authentication based on orientation code matching

    Xiangqian Wu;Kuanquan Wang;David Zhang

  • Text-Independent Writer Identification via CNN Features and Joint Bayesian

    Youbao Tang;Xiangqian Wu

  • Scene Text Detection Using Superpixel-Based Stroke Feature Transform and Deep Learning Based Region Classification

    Youbao Tang;Xiangqian Wu

Frequent Co-Authors

Kuanquan Wang
Kuanquan Wang Harbin Institute of Technology
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Qinghua Hu
Qinghua Hu Tianjin University
Yitian Zhao
Yitian Zhao Chinese Academy of Sciences
Yong Xu
Yong Xu Harbin Institute of Technology
Gerald Schaefer
Gerald Schaefer Loughborough University
Ajay Kumar
Ajay Kumar Hong Kong Polytechnic University

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