World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
18278
World Ranking
4699
National Ranking
629

Overview

Pengfei Zhu is affiliated with Tianjin University in China and has contributed extensively to research in computer science and engineering, with a strong focus on computer vision, pattern recognition, and artificial intelligence.

The scientist's publication record includes notable papers such as:

  • Detection and Tracking Meet Drones Challenge (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning (2022, IEEE Transactions on Circuits and Systems for Video Technology)
  • DetFusion: A Detection-driven Infrared and Visible Image Fusion Network (2022, Proceedings of the 30th ACM International Conference on Multimedia)
  • Single Image Deraining Using Bilateral Recurrent Network (2020, IEEE Transactions on Image Processing)
  • Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection (2022, IEEE Transactions on Multimedia)

The frequent collaborators associated with Pengfei Zhu include:

  • Qinghua Hu
  • Bing Cao
  • Dawei Du
  • Yu Wang
  • Longyin Wen

The scientist often publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Multimedia
  • Proceedings of the AAAI Conference on Artificial Intelligence

Pengfei Zhu's research spans main fields of Computer Science and Engineering, with significant specialization in subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Economics and Econometrics

The scientist focuses on topics such as:

  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications
  • UAV Applications and Optimization
  • Market Dynamics and Volatility

Best Publications

  • ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

    Qilong Wang;Banggu Wu;Pengfei Zhu;Peihua Li

  • Progressive Image Deraining Networks: A Better and Simpler Baseline

    Dongwei Ren;Wangmeng Zuo;Qinghua Hu;Pengfei Zhu

  • Detection and Tracking Meet Drones Challenge.

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • Latent Multi-view Subspace Clustering

    Changqing Zhang;Qinghua Hu;Huazhu Fu;Pengfei Zhu

  • Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

    Yiming Sun;Bing Cao;Pengfei Zhu;Qinghua Hu

  • VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

    Dawei Du;Yue Zhang;Zexin Wang;Zhikang Wang

  • Vision Meets Drones: A Challenge

    Pengfei Zhu;Longyin Wen;Xiao Bian;Haibin Ling

  • Unsupervised feature selection by regularized self-representation

    Pengfei Zhu;Wangmeng Zuo;Lei Zhang;Qinghua Hu

  • VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results

    Yaru Cao;Zhijian He;Lujia Wang;Wenguan Wang

  • One-Step Multi-View Spectral Clustering

    Xiaofeng Zhu;Shichao Zhang;Wei He;Rongyao Hu

  • Multi-scale patch based collaborative representation for face recognition with margin distribution optimization

    Pengfei Zhu;Lei Zhang;Qinghua Hu;Simon C. K. Shiu

  • Subspace clustering guided unsupervised feature selection

    Pengfei Zhu;Wencheng Zhu;Qinghua Hu;Changqing Zhang

  • Face recognition based on regularized nearest points between image sets

    Meng Yang;Pengfei Zhu;Luc Van Gool;Lei Zhang

  • A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets

    Degang Chen;Lei Zhang;Suyun Zhao;Qinghua Hu

  • Multi-label feature selection with missing labels

    Pengfei Zhu;Qian Xu;Qinghua Hu;Changqing Zhang

  • Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model

    Yun Wang;Qinghua Hu;Deyu Meng;Pengfei Zhu

  • PIRM challenge on perceptual image enhancement on smartphones: Report

    Andrey Ignatov;Radu Timofte;Thang Van Vu;Tung Minh Luu

  • Image Set-Based Collaborative Representation for Face Recognition

    Pengfei Zhu;Wangmeng Zuo;Lei Zhang;Simon Chi-Keung Shiu

  • VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • From Point to Set: Extend the Learning of Distance Metrics

    Pengfei Zhu;Lei Zhang;Wangmeng Zuo;David Zhang

  • Vision Meets Drones: Past, Present and Future

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • Rule learning for classification based on neighborhood covering reduction

    Yong Du;Qinghua Hu;Pengfei Zhu;Peijun Ma

Frequent Co-Authors

Qinghua Hu
Qinghua Hu Tianjin University
Changqing Zhang
Changqing Zhang Tianjin University
Longyin Wen
Longyin Wen ByteDance
Dawei Du
Dawei Du ByteDance
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Haibin Ling
Haibin Ling Westlake University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Liefeng Bo
Liefeng Bo Alibaba Group (United States)
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen

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